From 0ba0a51bace675127772d1c0dba8c05e010dc559 Mon Sep 17 00:00:00 2001
From: Michael Francis Heslar <mheslar2@illinois.edu>
Date: Fri, 26 Sep 2025 04:17:16 +0000
Subject: [PATCH 1/2] final jupyter notebook submission

---
 HW2_heslar.ipynb          | 1835 +++++++++++++++++++++++++++++++++++++
 final_part1_timeseries.nc |  Bin 0 -> 50760 bytes
 2 files changed, 1835 insertions(+)
 create mode 100644 HW2_heslar.ipynb
 create mode 100644 final_part1_timeseries.nc

diff --git a/HW2_heslar.ipynb b/HW2_heslar.ipynb
new file mode 100644
index 0000000..5c4948b
--- /dev/null
+++ b/HW2_heslar.ipynb
@@ -0,0 +1,1835 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "23cc72bb",
+   "metadata": {},
+   "source": [
+    "### HW 2 - dask & xarray for computing weather and climate diagnostics"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "047218dd",
+   "metadata": {},
+   "source": [
+    "##### (1) Use the precipitation output of ERA-5 to compute a time series of daily precipitation at a given point closest to a city of your choosing. Choose a box of 5 x 5 deg lat-lon values over the grid box closest to the city you are examining. Save this data. Use a period of at least 10 years."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "db654dc4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# libraries \n",
+    "import xarray as xr\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import dask\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e30824d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-202f0ae7-9a88-11f0-a8b6-abcc3e40e5b4</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "\n",
+       "        <tr>\n",
+       "        \n",
+       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
+       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
+       "        \n",
+       "        </tr>\n",
+       "\n",
+       "        \n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\"></td>\n",
+       "            </tr>\n",
+       "        \n",
+       "\n",
+       "        </table>\n",
+       "\n",
+       "        \n",
+       "\n",
+       "        \n",
+       "            <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
+       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
+       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
+       "    </div>\n",
+       "    <div style=\"margin-left: 48px;\">\n",
+       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">26cb2b8a</p>\n",
+       "        <table style=\"width: 100%; text-align: left;\">\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Workers:</strong> 4\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total threads:</strong> 4\n",
+       "                </td>\n",
+       "                <td style=\"text-align: left;\">\n",
+       "                    <strong>Total memory:</strong> 16.00 GiB\n",
+       "                </td>\n",
+       "            </tr>\n",
+       "            \n",
+       "            <tr>\n",
+       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
+       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
+       "</tr>\n",
+       "\n",
+       "            \n",
+       "        </table>\n",
+       "\n",
+       "        <details>\n",
+       "            <summary style=\"margin-bottom: 20px;\">\n",
+       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
+       "            </summary>\n",
+       "\n",
+       "            <div style=\"\">\n",
+       "    <div>\n",
+       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
+       "        <div style=\"margin-left: 48px;\">\n",
+       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-1c1335d4-f3b4-40d8-a9c0-3301a954b98e</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:38799\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Workers:</strong> 0 \n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total threads:</strong> 0\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Started:</strong> Just now\n",
+       "                    </td>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Total memory:</strong> 0 B\n",
+       "                    </td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    <details style=\"margin-left: 48px;\">\n",
+       "        <summary style=\"margin-bottom: 20px;\">\n",
+       "            <h3 style=\"display: inline;\">Workers</h3>\n",
+       "        </summary>\n",
+       "\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:45039\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:33555/status\" target=\"_blank\">http://127.0.0.1:33555/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 4.00 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41941\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-m16__pw2\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:39555\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37109/status\" target=\"_blank\">http://127.0.0.1:37109/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 4.00 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:35033\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-72oz5bza\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:44835\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37103/status\" target=\"_blank\">http://127.0.0.1:37103/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 4.00 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46409\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-51f42tj0\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "        <div style=\"margin-bottom: 20px;\">\n",
+       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
+       "            <div style=\"margin-left: 48px;\">\n",
+       "            <details>\n",
+       "                <summary>\n",
+       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
+       "                </summary>\n",
+       "                <table style=\"width: 100%; text-align: left;\">\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:32825\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Total threads: </strong> 1\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:42235/status\" target=\"_blank\">http://127.0.0.1:42235/status</a>\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Memory: </strong> 4.00 GiB\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td style=\"text-align: left;\">\n",
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39889\n",
+       "                        </td>\n",
+       "                        <td style=\"text-align: left;\"></td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-yx26go6f\n",
+       "                        </td>\n",
+       "                    </tr>\n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                    \n",
+       "\n",
+       "                </table>\n",
+       "            </details>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        \n",
+       "\n",
+       "    </details>\n",
+       "</div>\n",
+       "\n",
+       "        </details>\n",
+       "    </div>\n",
+       "</div>\n",
+       "            </details>\n",
+       "        \n",
+       "\n",
+       "    </div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<Client: 'tcp://127.0.0.1:38799' processes=4 threads=4, memory=16.00 GiB>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"Below codes to import data are taken from Module 2 in-class activity\"\"\"\n",
+    "\n",
+    "# set up local cluster on your machine\n",
+    "from dask.distributed import Client\n",
+    "client = Client()  \n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9fdb1a13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# open a Zarr v3 store with anonymous GCS access\n",
+    "import gcsfs\n",
+    "fs = gcsfs.GCSFileSystem(token=\"anon\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "647967bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2PB\n",
+       "Dimensions:                                                          (\n",
+       "                                                                      time: 748008,\n",
+       "                                                                      latitude: 721,\n",
+       "                                                                      longitude: 1440,\n",
+       "                                                                      level: 37)\n",
+       "Coordinates:\n",
+       "  * latitude                                                         (latitude) float32 3kB ...\n",
+       "  * level                                                            (level) int64 296B ...\n",
+       "  * longitude                                                        (longitude) float32 6kB ...\n",
+       "  * time                                                             (time) datetime64[ns] 6MB ...\n",
+       "Data variables: (12/273)\n",
+       "    100m_u_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    100m_v_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_u_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_u_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_v_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_v_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
+       "    ...                                                               ...\n",
+       "    wave_spectral_directional_width_for_swell                        (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_directional_width_for_wind_waves                   (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_kurtosis                                           (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_peakedness                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_skewness                                           (time, latitude, longitude) float32 3TB ...\n",
+       "    zero_degree_level                                                (time, latitude, longitude) float32 3TB ...\n",
+       "Attributes:\n",
+       "    last_updated:           2025-09-26 02:01:41.936564+00:00\n",
+       "    valid_time_start:       1940-01-01\n",
+       "    valid_time_stop:        2025-04-30\n",
+       "    valid_time_stop_era5t:  2025-09-20</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c17ac106-7b89-4f18-9167-c82ebc3e3cd3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c17ac106-7b89-4f18-9167-c82ebc3e3cd3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 748008</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>level</span>: 37</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-12ea2e6e-f4ec-41e2-abb9-850878f055c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12ea2e6e-f4ec-41e2-abb9-850878f055c6' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-0ea3bbc2-14ed-47d5-b1c3-856e92a12626' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ea3bbc2-14ed-47d5-b1c3-856e92a12626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db2f564e-bdcb-40c2-8910-400754dcab2e' class='xr-var-data-in' type='checkbox'><label for='data-db2f564e-bdcb-40c2-8910-400754dcab2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ],\n",
+       "      shape=(721,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 5 7 ... 900 925 950 975 1000</div><input id='attrs-80e93c66-9bda-415d-90f7-0465434327d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80e93c66-9bda-415d-90f7-0465434327d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d1cec7d-caff-4342-833a-4e4e4c92e68d' class='xr-var-data-in' type='checkbox'><label for='data-1d1cec7d-caff-4342-833a-4e4e4c92e68d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>level</dd><dt><span>units :</span></dt><dd>Hectopascal(hPa)</dd></dl></div><div class='xr-var-data'><pre>array([   1,    2,    3,    5,    7,   10,   20,   30,   50,   70,  100,  125,\n",
+       "        150,  175,  200,  225,  250,  300,  350,  400,  450,  500,  550,  600,\n",
+       "        650,  700,  750,  775,  800,  825,  850,  875,  900,  925,  950,  975,\n",
+       "       1000])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-4c2ec2e6-2229-47b6-85a2-afc1c15df70d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c2ec2e6-2229-47b6-85a2-afc1c15df70d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99873be9-cf39-4d70-8914-acdc928b98e7' class='xr-var-data-in' type='checkbox'><label for='data-99873be9-cf39-4d70-8914-acdc928b98e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "       3.5975e+02], shape=(1440,), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1940-01-01 ... 2025-04-30T23:00:00</div><input id='attrs-ebe37499-4183-48ec-8f01-ad5a3f473c2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebe37499-4183-48ec-8f01-ad5a3f473c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-608c45de-905e-4dd2-9ae7-10342c212903' class='xr-var-data-in' type='checkbox'><label for='data-608c45de-905e-4dd2-9ae7-10342c212903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1940-01-01T00:00:00.000000000&#x27;, &#x27;1940-01-01T01:00:00.000000000&#x27;,\n",
+       "       &#x27;1940-01-01T02:00:00.000000000&#x27;, ..., &#x27;2025-04-30T21:00:00.000000000&#x27;,\n",
+       "       &#x27;2025-04-30T22:00:00.000000000&#x27;, &#x27;2025-04-30T23:00:00.000000000&#x27;],\n",
+       "      shape=(748008,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc05770d-d488-410e-b627-e720ae1d53bf' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc05770d-d488-410e-b627-e720ae1d53bf' class='xr-section-summary' >Data variables: <span>(273)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>100m_u_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d909eb7-e1ed-437f-bde3-d60cf4893fa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d909eb7-e1ed-437f-bde3-d60cf4893fa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbbec7c1-4adf-4f4e-9b54-9475379bb566' class='xr-var-data-in' type='checkbox'><label for='data-fbbec7c1-4adf-4f4e-9b54-9475379bb566' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>100 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u100</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>100m_v_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff4afef4-95cb-48d3-ba8f-8e908495b48a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff4afef4-95cb-48d3-ba8f-8e908495b48a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982d53ad-2412-46c9-95dc-3f01f65f02b1' class='xr-var-data-in' type='checkbox'><label for='data-982d53ad-2412-46c9-95dc-3f01f65f02b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>100 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v100</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_u_component_of_neutral_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81e54751-c9c2-47bc-815d-2d3117ef9c82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81e54751-c9c2-47bc-815d-2d3117ef9c82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd864c1c-c238-4c6f-84e4-7d82b74872a8' class='xr-var-data-in' type='checkbox'><label for='data-dd864c1c-c238-4c6f-84e4-7d82b74872a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Neutral wind at 10 m u-component</dd><dt><span>short_name :</span></dt><dd>u10n</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_u_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ff65034-9269-43a4-b353-b47e66e15111' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ff65034-9269-43a4-b353-b47e66e15111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba871025-71ce-406a-bf10-57342f2b8c22' class='xr-var-data-in' type='checkbox'><label for='data-ba871025-71ce-406a-bf10-57342f2b8c22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>short_name :</span></dt><dd>u10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_v_component_of_neutral_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5d91c4b-8d41-4a47-b00b-63f78e2e54d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5d91c4b-8d41-4a47-b00b-63f78e2e54d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1c184c7-e486-43d4-b508-6f985ef30684' class='xr-var-data-in' type='checkbox'><label for='data-c1c184c7-e486-43d4-b508-6f985ef30684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Neutral wind at 10 m v-component</dd><dt><span>short_name :</span></dt><dd>v10n</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_v_component_of_wind</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9b258d8-20ab-400b-a490-e5eab0e375df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9b258d8-20ab-400b-a490-e5eab0e375df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77e62b2-4ab8-4aad-92ee-e4996ea00d10' class='xr-var-data-in' type='checkbox'><label for='data-e77e62b2-4ab8-4aad-92ee-e4996ea00d10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>short_name :</span></dt><dd>v10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>10m_wind_gust_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0031f9f4-c2bd-47ea-bcf0-dec9436e7335' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0031f9f4-c2bd-47ea-bcf0-dec9436e7335' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbae3ca5-32ac-4a55-9f53-7ac5038a1754' class='xr-var-data-in' type='checkbox'><label for='data-fbae3ca5-32ac-4a55-9f53-7ac5038a1754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre wind gust since previous post-processing</dd><dt><span>short_name :</span></dt><dd>fg10</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2m_dewpoint_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13c1e745-0bbf-4d44-8dab-e698f507f8c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c1e745-0bbf-4d44-8dab-e698f507f8c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e41943b-a0b3-4f3e-8f95-55f6dc7e6915' class='xr-var-data-in' type='checkbox'><label for='data-5e41943b-a0b3-4f3e-8f95-55f6dc7e6915' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>short_name :</span></dt><dd>d2m</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>2m_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a415856b-9846-4ad4-8c86-6f78e3154959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a415856b-9846-4ad4-8c86-6f78e3154959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d877154f-ec24-4f53-8797-c32e4c771628' class='xr-var-data-in' type='checkbox'><label for='data-d877154f-ec24-4f53-8797-c32e4c771628' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>short_name :</span></dt><dd>t2m</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air_density_over_the_oceans</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b35ccea8-bd9f-4cea-93c3-f83cac242320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35ccea8-bd9f-4cea-93c3-f83cac242320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce499678-46d1-4f94-a866-fb21ca7c4716' class='xr-var-data-in' type='checkbox'><label for='data-ce499678-46d1-4f94-a866-fb21ca7c4716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Air density over the oceans</dd><dt><span>short_name :</span></dt><dd>p140209</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88d0e042-d6b0-4e6b-b638-db91c1a32eb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88d0e042-d6b0-4e6b-b638-db91c1a32eb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04e0facc-d79f-4b42-a273-837525e01295' class='xr-var-data-in' type='checkbox'><label for='data-04e0facc-d79f-4b42-a273-837525e01295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Angle of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>anor</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>anisotropy_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-652deed2-78c5-45e0-8da4-e3a0a8cfcc07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-652deed2-78c5-45e0-8da4-e3a0a8cfcc07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc6e1b3-306d-44ed-8ad3-fd21bd2d2772' class='xr-var-data-in' type='checkbox'><label for='data-8bc6e1b3-306d-44ed-8ad3-fd21bd2d2772' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Anisotropy of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>isor</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>benjamin_feir_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-970953ce-7e63-49b9-b245-a52ddb682c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-970953ce-7e63-49b9-b245-a52ddb682c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef42f134-126d-469b-9571-eecfddeeae92' class='xr-var-data-in' type='checkbox'><label for='data-ef42f134-126d-469b-9571-eecfddeeae92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Benjamin-Feir index</dd><dt><span>short_name :</span></dt><dd>bfi</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boundary_layer_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1af5aed8-d1c5-46ff-a1e0-c8c948218bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1af5aed8-d1c5-46ff-a1e0-c8c948218bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cfa6ed3-d9ee-4a5a-8849-f880cd4eca87' class='xr-var-data-in' type='checkbox'><label for='data-4cfa6ed3-d9ee-4a5a-8849-f880cd4eca87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Boundary layer dissipation</dd><dt><span>short_name :</span></dt><dd>bld</dd><dt><span>standard_name :</span></dt><dd>kinetic_energy_dissipation_in_atmosphere_boundary_layer</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>boundary_layer_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed6b9e74-e577-4827-9071-dba6a5f7482d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed6b9e74-e577-4827-9071-dba6a5f7482d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f92d42c2-6a34-44c3-b6b2-d2f748e66e97' class='xr-var-data-in' type='checkbox'><label for='data-f92d42c2-6a34-44c3-b6b2-d2f748e66e97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Boundary layer height</dd><dt><span>short_name :</span></dt><dd>blh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>charnock</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6760b49e-a90d-4db0-ad96-91bfd6bc2e09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6760b49e-a90d-4db0-ad96-91bfd6bc2e09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84067142-8906-43d6-975d-36cf4b392209' class='xr-var-data-in' type='checkbox'><label for='data-84067142-8906-43d6-975d-36cf4b392209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Charnock</dd><dt><span>short_name :</span></dt><dd>chnk</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clear_sky_direct_solar_radiation_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-172370e1-0fcb-4630-8fea-27e6de491273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-172370e1-0fcb-4630-8fea-27e6de491273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a6a62dc-9864-476e-8715-87216edc6145' class='xr-var-data-in' type='checkbox'><label for='data-7a6a62dc-9864-476e-8715-87216edc6145' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Clear-sky direct solar radiation at surface</dd><dt><span>short_name :</span></dt><dd>cdir</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cloud_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94aef480-fd80-42ce-9c80-e3fd78865f63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94aef480-fd80-42ce-9c80-e3fd78865f63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d053ce54-4f1a-4993-99b8-90d5334c028b' class='xr-var-data-in' type='checkbox'><label for='data-d053ce54-4f1a-4993-99b8-90d5334c028b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cloud base height</dd><dt><span>short_name :</span></dt><dd>cbh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>coefficient_of_drag_with_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e16402d-0d02-4e11-be78-ec4c36ed6806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e16402d-0d02-4e11-be78-ec4c36ed6806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a43a65c-ec93-4202-be78-a8b80bfce34f' class='xr-var-data-in' type='checkbox'><label for='data-5a43a65c-ec93-4202-be78-a8b80bfce34f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Coefficient of drag with waves</dd><dt><span>short_name :</span></dt><dd>cdww</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_available_potential_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01c07f22-0db8-4577-b9a8-829552f032ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01c07f22-0db8-4577-b9a8-829552f032ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f47e7ac3-9933-4116-94ea-3e917e7e8cc6' class='xr-var-data-in' type='checkbox'><label for='data-f47e7ac3-9933-4116-94ea-3e917e7e8cc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective available potential energy</dd><dt><span>short_name :</span></dt><dd>cape</dd><dt><span>units :</span></dt><dd>J kg**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_inhibition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-798adb3e-d837-46fa-866e-40254d2ca916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-798adb3e-d837-46fa-866e-40254d2ca916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7811935-3308-40a1-81f7-c098bd40aa61' class='xr-var-data-in' type='checkbox'><label for='data-a7811935-3308-40a1-81f7-c098bd40aa61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective inhibition</dd><dt><span>short_name :</span></dt><dd>cin</dd><dt><span>units :</span></dt><dd>J kg**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-251f3ba2-7892-4402-9c82-701ebbd38dd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-251f3ba2-7892-4402-9c82-701ebbd38dd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87c509e8-828e-4e90-8df3-3b36aaaa9dd0' class='xr-var-data-in' type='checkbox'><label for='data-87c509e8-828e-4e90-8df3-3b36aaaa9dd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective precipitation</dd><dt><span>short_name :</span></dt><dd>cp</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_convective_precipitation_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_rain_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a080fd3-b003-40bf-9b27-1be9a34b90e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a080fd3-b003-40bf-9b27-1be9a34b90e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8af9ccbb-37ce-48a8-be65-10c88616e524' class='xr-var-data-in' type='checkbox'><label for='data-8af9ccbb-37ce-48a8-be65-10c88616e524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective rain rate</dd><dt><span>short_name :</span></dt><dd>crr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e9dbf66-8811-4fd7-82ff-f36d58a44d88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e9dbf66-8811-4fd7-82ff-f36d58a44d88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eeb5197-3b7c-4270-a36e-613dc64bfa00' class='xr-var-data-in' type='checkbox'><label for='data-2eeb5197-3b7c-4270-a36e-613dc64bfa00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective snowfall</dd><dt><span>short_name :</span></dt><dd>csf</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>convective_snowfall_rate_water_equivalent</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e3a50b3-3146-491d-a112-2da37c565c5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e3a50b3-3146-491d-a112-2da37c565c5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1432dd21-a220-439f-87d8-2860a1e1d444' class='xr-var-data-in' type='checkbox'><label for='data-1432dd21-a220-439f-87d8-2860a1e1d444' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Convective snowfall rate water equivalent</dd><dt><span>short_name :</span></dt><dd>csfr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_uv_radiation_at_the_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5acc1c80-a5d0-4935-918a-aee4a0d89021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5acc1c80-a5d0-4935-918a-aee4a0d89021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d30afaa8-b52a-475d-a6e4-f44a10b62856' class='xr-var-data-in' type='checkbox'><label for='data-d30afaa8-b52a-475d-a6e4-f44a10b62856' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downward UV radiation at the surface</dd><dt><span>short_name :</span></dt><dd>uvb</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>duct_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a941e5c4-45ae-4dbb-b05c-e87e6d5f3c0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a941e5c4-45ae-4dbb-b05c-e87e6d5f3c0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd123a39-28d8-433e-b9d1-051558d8cdec' class='xr-var-data-in' type='checkbox'><label for='data-fd123a39-28d8-433e-b9d1-051558d8cdec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Duct base height</dd><dt><span>short_name :</span></dt><dd>dctb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-842756f2-710d-47ff-abc6-7644f90629e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842756f2-710d-47ff-abc6-7644f90629e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8257541-540e-4eed-aa66-2250e922f81d' class='xr-var-data-in' type='checkbox'><label for='data-e8257541-540e-4eed-aa66-2250e922f81d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Eastward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>lgws</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-047504cd-701b-4d34-a0e6-fae130ea4f68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-047504cd-701b-4d34-a0e6-fae130ea4f68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-491d3f49-20bc-46e6-ba56-e61ba49f95e5' class='xr-var-data-in' type='checkbox'><label for='data-491d3f49-20bc-46e6-ba56-e61ba49f95e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>ewss</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbb4c6ba-d866-45b6-bfc2-e6aa0d942519' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbb4c6ba-d866-45b6-bfc2-e6aa0d942519' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faad8f92-ae34-459f-923f-b2c72a1d6f92' class='xr-var-data-in' type='checkbox'><label for='data-faad8f92-ae34-459f-923f-b2c72a1d6f92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Evaporation</dd><dt><span>short_name :</span></dt><dd>e</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_water_evaporation_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_albedo</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8faaefcf-16c8-451e-900a-0491633dcd58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8faaefcf-16c8-451e-900a-0491633dcd58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489d650c-5974-4c11-8a26-cc8e82632602' class='xr-var-data-in' type='checkbox'><label for='data-489d650c-5974-4c11-8a26-cc8e82632602' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast albedo</dd><dt><span>short_name :</span></dt><dd>fal</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_logarithm_of_surface_roughness_for_heat</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed93e7ea-919f-4b68-a94f-3a991316e557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed93e7ea-919f-4b68-a94f-3a991316e557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d2af5c1-91ae-49e6-b505-1ca557f1a576' class='xr-var-data-in' type='checkbox'><label for='data-3d2af5c1-91ae-49e6-b505-1ca557f1a576' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast logarithm of surface roughness for heat</dd><dt><span>short_name :</span></dt><dd>flsr</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>forecast_surface_roughness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4a1a81a-f9f2-4cdb-a1c3-4b9e7a8a6191' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4a1a81a-f9f2-4cdb-a1c3-4b9e7a8a6191' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0be1fec6-924d-4edd-90f6-bc99f5a8bda6' class='xr-var-data-in' type='checkbox'><label for='data-0be1fec6-924d-4edd-90f6-bc99f5a8bda6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Forecast surface roughness</dd><dt><span>short_name :</span></dt><dd>fsr</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fraction_of_cloud_cover</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbe288ed-4e40-4131-bc3d-dcf12aa52f8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbe288ed-4e40-4131-bc3d-dcf12aa52f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee02894-5675-419a-8ce0-af80bdf02b27' class='xr-var-data-in' type='checkbox'><label for='data-6ee02894-5675-419a-8ce0-af80bdf02b27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fraction of cloud cover</dd><dt><span>short_name :</span></dt><dd>cc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>free_convective_velocity_over_the_oceans</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf5de0a9-7430-45be-b61c-77d67a44f2f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf5de0a9-7430-45be-b61c-77d67a44f2f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fbed243-390a-41db-a386-23f7fd3eceb3' class='xr-var-data-in' type='checkbox'><label for='data-4fbed243-390a-41db-a386-23f7fd3eceb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Free convective velocity over the oceans</dd><dt><span>short_name :</span></dt><dd>p140208</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>friction_velocity</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12672ab6-7b1b-4c8f-a183-03fc69e5530e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12672ab6-7b1b-4c8f-a183-03fc69e5530e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ec02968-e35f-4e36-9b2b-89c9b364ccec' class='xr-var-data-in' type='checkbox'><label for='data-7ec02968-e35f-4e36-9b2b-89c9b364ccec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Friction velocity</dd><dt><span>short_name :</span></dt><dd>zust</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed9cd8a7-61ba-45d3-a245-24b0e633f639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed9cd8a7-61ba-45d3-a245-24b0e633f639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88507994-7234-4151-9b28-adc67b2c56e7' class='xr-var-data-in' type='checkbox'><label for='data-88507994-7234-4151-9b28-adc67b2c56e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>short_name :</span></dt><dd>z</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-465473ee-5375-4a79-962c-465bdc656235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-465473ee-5375-4a79-962c-465bdc656235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5242c3a1-b462-49e4-9c72-333a31606329' class='xr-var-data-in' type='checkbox'><label for='data-5242c3a1-b462-49e4-9c72-333a31606329' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>short_name :</span></dt><dd>z</dd><dt><span>standard_name :</span></dt><dd>geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_wave_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72a061b3-3cb5-4801-a51c-031ceffd69a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72a061b3-3cb5-4801-a51c-031ceffd69a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159c2967-31b6-4c04-8943-0ebbf9a20e52' class='xr-var-data-in' type='checkbox'><label for='data-159c2967-31b6-4c04-8943-0ebbf9a20e52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Gravity wave dissipation</dd><dt><span>short_name :</span></dt><dd>gwd</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c588dd8-2564-4d84-8da4-9344cb3744fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c588dd8-2564-4d84-8da4-9344cb3744fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1db90bc7-e4f3-484c-beb3-ebeed799498b' class='xr-var-data-in' type='checkbox'><label for='data-1db90bc7-e4f3-484c-beb3-ebeed799498b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>High cloud cover</dd><dt><span>short_name :</span></dt><dd>hcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>high_vegetation_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a1dc005-94c3-45ea-8232-71ac2bfb4b37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a1dc005-94c3-45ea-8232-71ac2bfb4b37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6ee9e17-83d7-4258-92a0-0b2fa4d08483' class='xr-var-data-in' type='checkbox'><label for='data-a6ee9e17-83d7-4258-92a0-0b2fa4d08483' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>High vegetation cover</dd><dt><span>short_name :</span></dt><dd>cvh</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33fa19ee-262d-4f25-a5df-79170236f2a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33fa19ee-262d-4f25-a5df-79170236f2a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-006c48e8-fe8b-426c-9486-9bba4b181880' class='xr-var-data-in' type='checkbox'><label for='data-006c48e8-fe8b-426c-9486-9bba4b181880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice temperature layer 1</dd><dt><span>short_name :</span></dt><dd>istl1</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4d11cbd-04ff-42f9-bee4-768a3350c2f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4d11cbd-04ff-42f9-bee4-768a3350c2f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e58b4f8-7801-4530-a3ec-12e741b77c8d' class='xr-var-data-in' type='checkbox'><label for='data-3e58b4f8-7801-4530-a3ec-12e741b77c8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice temperature layer 2</dd><dt><span>short_name :</span></dt><dd>istl2</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cdba75c-127f-4aa0-b02c-2b2430a56104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cdba75c-127f-4aa0-b02c-2b2430a56104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262a3e0c-49ec-4901-a210-7edc548f5efe' class='xr-var-data-in' type='checkbox'><label for='data-262a3e0c-49ec-4901-a210-7edc548f5efe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice temperature layer 3</dd><dt><span>short_name :</span></dt><dd>istl3</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_temperature_layer_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-793eaf62-5e61-41a2-b61b-23536e4ed9c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-793eaf62-5e61-41a2-b61b-23536e4ed9c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e37d58a0-00fd-4017-afb9-c60b0647bf8a' class='xr-var-data-in' type='checkbox'><label for='data-e37d58a0-00fd-4017-afb9-c60b0647bf8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ice temperature layer 4</dd><dt><span>short_name :</span></dt><dd>istl4</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_10m_wind_gust</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0a74427-1977-4999-8b92-c4233cebf339' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0a74427-1977-4999-8b92-c4233cebf339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fdd82a3-d67d-4ce6-87fe-557f9dd61862' class='xr-var-data-in' type='checkbox'><label for='data-7fdd82a3-d67d-4ce6-87fe-557f9dd61862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous 10 metre wind gust</dd><dt><span>short_name :</span></dt><dd>i10fg</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bf03317-a725-463e-bd9f-997bee3058d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bf03317-a725-463e-bd9f-997bee3058d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66bc0850-ad5f-4d5c-83f8-88c370b50317' class='xr-var-data-in' type='checkbox'><label for='data-66bc0850-ad5f-4d5c-83f8-88c370b50317' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>iews</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_large_scale_surface_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cbcbd623-3256-47f9-b362-c60fe78de90a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbcbd623-3256-47f9-b362-c60fe78de90a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b00451c0-0c54-4a5a-88c4-6d7a8cfb4a50' class='xr-var-data-in' type='checkbox'><label for='data-b00451c0-0c54-4a5a-88c4-6d7a8cfb4a50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous large-scale surface precipitation fraction</dd><dt><span>short_name :</span></dt><dd>ilspf</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_moisture_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b49ac347-6381-4b70-9f29-6715cd849a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b49ac347-6381-4b70-9f29-6715cd849a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cb7f92e-df2e-4785-85f5-23ed5639007e' class='xr-var-data-in' type='checkbox'><label for='data-5cb7f92e-df2e-4785-85f5-23ed5639007e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous moisture flux</dd><dt><span>short_name :</span></dt><dd>ie</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8080cb0-729b-45bf-84df-53c5558044f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8080cb0-729b-45bf-84df-53c5558044f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65005b4f-600d-4b27-b126-12bdbc18ab50' class='xr-var-data-in' type='checkbox'><label for='data-65005b4f-600d-4b27-b126-12bdbc18ab50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>inss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instantaneous_surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82743974-179d-4d57-a9a2-6c7a8f566100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82743974-179d-4d57-a9a2-6c7a8f566100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b291cc93-8500-4111-9cf2-cf927ed406a8' class='xr-var-data-in' type='checkbox'><label for='data-b291cc93-8500-4111-9cf2-cf927ed406a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Instantaneous surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>ishf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c24ccb5c-baa2-463a-b96a-67ee57f00a6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c24ccb5c-baa2-463a-b96a-67ee57f00a6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1b76d7a-ef74-4928-8cd9-d26da426fedc' class='xr-var-data-in' type='checkbox'><label for='data-b1b76d7a-ef74-4928-8cd9-d26da426fedc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>K index</dd><dt><span>short_name :</span></dt><dd>kx</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_bottom_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75823a95-597f-4bd1-97f2-eca6d7d0fdb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75823a95-597f-4bd1-97f2-eca6d7d0fdb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1b2066a-d754-46db-9683-7d9553d63cdf' class='xr-var-data-in' type='checkbox'><label for='data-c1b2066a-d754-46db-9683-7d9553d63cdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake bottom temperature</dd><dt><span>short_name :</span></dt><dd>lblt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7413cda-6c3e-4ead-a439-2e39d74573b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7413cda-6c3e-4ead-a439-2e39d74573b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d0b736f-0bac-496f-bf67-8f6d417641b5' class='xr-var-data-in' type='checkbox'><label for='data-1d0b736f-0bac-496f-bf67-8f6d417641b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake cover</dd><dt><span>short_name :</span></dt><dd>cl</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0f88dca-e69e-4ff8-ac85-ddb6e8679b6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0f88dca-e69e-4ff8-ac85-ddb6e8679b6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3793c8f-eae4-4916-ae08-b652c21b7fe6' class='xr-var-data-in' type='checkbox'><label for='data-d3793c8f-eae4-4916-ae08-b652c21b7fe6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake total depth</dd><dt><span>short_name :</span></dt><dd>dl</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_ice_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78ec483a-02bd-42cd-8129-35e18e9e3064' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78ec483a-02bd-42cd-8129-35e18e9e3064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0db53ca0-4c59-453e-9e93-935ec871a752' class='xr-var-data-in' type='checkbox'><label for='data-0db53ca0-4c59-453e-9e93-935ec871a752' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake ice total depth</dd><dt><span>short_name :</span></dt><dd>licd</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_ice_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f352b75-6c0e-4c41-aa3d-cc4327b50061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f352b75-6c0e-4c41-aa3d-cc4327b50061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbea8ead-5a69-475f-bb38-5f4f29045621' class='xr-var-data-in' type='checkbox'><label for='data-fbea8ead-5a69-475f-bb38-5f4f29045621' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake ice surface temperature</dd><dt><span>short_name :</span></dt><dd>lict</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_mix_layer_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5670667d-8508-4695-bb36-b0f50a795cd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5670667d-8508-4695-bb36-b0f50a795cd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f60ecb1d-29ed-406b-b58a-a8ce89bfc8be' class='xr-var-data-in' type='checkbox'><label for='data-f60ecb1d-29ed-406b-b58a-a8ce89bfc8be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake mix-layer depth</dd><dt><span>short_name :</span></dt><dd>lmld</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_mix_layer_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-637d32aa-e774-4d2c-b375-eb6861d9690f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-637d32aa-e774-4d2c-b375-eb6861d9690f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a981d5f5-5557-4759-bf26-941a8ad228a2' class='xr-var-data-in' type='checkbox'><label for='data-a981d5f5-5557-4759-bf26-941a8ad228a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake mix-layer temperature</dd><dt><span>short_name :</span></dt><dd>lmlt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_shape_factor</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38a25950-e63e-4d7e-9984-b4dc6956f430' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38a25950-e63e-4d7e-9984-b4dc6956f430' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc3533ea-3b8d-42e7-b1bd-fc54b6b4afc3' class='xr-var-data-in' type='checkbox'><label for='data-bc3533ea-3b8d-42e7-b1bd-fc54b6b4afc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake shape factor</dd><dt><span>short_name :</span></dt><dd>lshf</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lake_total_layer_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e99f65c-cc53-4778-8991-62bbb049dfc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e99f65c-cc53-4778-8991-62bbb049dfc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cea5a00-148a-4486-87d0-69907f222694' class='xr-var-data-in' type='checkbox'><label for='data-8cea5a00-148a-4486-87d0-69907f222694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Lake total layer temperature</dd><dt><span>short_name :</span></dt><dd>ltlt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_sea_mask</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ac1957f-0f27-4eb5-818a-a3fbcef4d96d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac1957f-0f27-4eb5-818a-a3fbcef4d96d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2cf9e5b-7606-4fef-87d8-9382d421520e' class='xr-var-data-in' type='checkbox'><label for='data-a2cf9e5b-7606-4fef-87d8-9382d421520e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land-sea mask</dd><dt><span>short_name :</span></dt><dd>lsm</dd><dt><span>standard_name :</span></dt><dd>land_binary_mask</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd6e4b82-fe55-43d8-9210-5dd41933a895' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd6e4b82-fe55-43d8-9210-5dd41933a895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0707ab9-e642-4a73-8382-b3818564bf06' class='xr-var-data-in' type='checkbox'><label for='data-a0707ab9-e642-4a73-8382-b3818564bf06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Large-scale precipitation</dd><dt><span>short_name :</span></dt><dd>lsp</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_stratiform_precipitation_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98463337-0815-418f-b974-383126db0e35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98463337-0815-418f-b974-383126db0e35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18aa3ddc-489b-4c3c-92b7-915b8aca3641' class='xr-var-data-in' type='checkbox'><label for='data-18aa3ddc-489b-4c3c-92b7-915b8aca3641' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Large-scale precipitation fraction</dd><dt><span>short_name :</span></dt><dd>lspf</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_rain_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6325f224-f787-4681-9267-715a14539ba1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6325f224-f787-4681-9267-715a14539ba1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39e31fc2-fe7c-46e0-b7b2-a1f1d6e7f9da' class='xr-var-data-in' type='checkbox'><label for='data-39e31fc2-fe7c-46e0-b7b2-a1f1d6e7f9da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Large scale rain rate</dd><dt><span>short_name :</span></dt><dd>lsrr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e99ec26f-275d-42c0-acfc-f8bce9ff669c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e99ec26f-275d-42c0-acfc-f8bce9ff669c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7e35e7e-02d7-4353-b2dc-59ee66861ceb' class='xr-var-data-in' type='checkbox'><label for='data-d7e35e7e-02d7-4353-b2dc-59ee66861ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Large-scale snowfall</dd><dt><span>short_name :</span></dt><dd>lsf</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>large_scale_snowfall_rate_water_equivalent</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5dabf6a3-5d0f-441a-b010-9b582dbdfa70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dabf6a3-5d0f-441a-b010-9b582dbdfa70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a43dc223-6889-4975-bd95-e0dbd718a925' class='xr-var-data-in' type='checkbox'><label for='data-a43dc223-6889-4975-bd95-e0dbd718a925' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Large scale snowfall rate water equivalent</dd><dt><span>short_name :</span></dt><dd>lssfr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index_high_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09ec6e00-ec48-42f8-8b95-b00e19a6890f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09ec6e00-ec48-42f8-8b95-b00e19a6890f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b0968a0-eaaf-4c8e-99da-a0acb8a45a20' class='xr-var-data-in' type='checkbox'><label for='data-5b0968a0-eaaf-4c8e-99da-a0acb8a45a20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd><dt><span>short_name :</span></dt><dd>lai_hv</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leaf_area_index_low_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50396278-4b58-4eb7-b22f-e25b2b498b10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50396278-4b58-4eb7-b22f-e25b2b498b10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc3a1107-1e74-4f51-939b-94e53e684a8c' class='xr-var-data-in' type='checkbox'><label for='data-bc3a1107-1e74-4f51-939b-94e53e684a8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Leaf area index, low vegetation</dd><dt><span>short_name :</span></dt><dd>lai_lv</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddad37b2-2c96-4c2d-aede-e166977dc9d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddad37b2-2c96-4c2d-aede-e166977dc9d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-726fb7bc-9b21-4318-a9e8-e605848b9e75' class='xr-var-data-in' type='checkbox'><label for='data-726fb7bc-9b21-4318-a9e8-e605848b9e75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Low cloud cover</dd><dt><span>short_name :</span></dt><dd>lcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>low_vegetation_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b17e91c9-813a-40b0-83f4-e21cc359d345' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b17e91c9-813a-40b0-83f4-e21cc359d345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f60d68d5-f883-4f78-8620-009dfb0106b5' class='xr-var-data-in' type='checkbox'><label for='data-f60d68d5-f883-4f78-8620-009dfb0106b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Low vegetation cover</dd><dt><span>short_name :</span></dt><dd>cvl</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_2m_temperature_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6fa4d77-16bd-4a9b-a0cb-6a6a64933b26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6fa4d77-16bd-4a9b-a0cb-6a6a64933b26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38993ffc-5252-4e5e-9bc2-4731efc3fee7' class='xr-var-data-in' type='checkbox'><label for='data-38993ffc-5252-4e5e-9bc2-4731efc3fee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Maximum temperature at 2 metres since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mx2t</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_individual_wave_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a8debfc-7e77-4e35-b877-951e4536371e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a8debfc-7e77-4e35-b877-951e4536371e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a31794e2-0270-4b1c-b123-84f1fc3ec128' class='xr-var-data-in' type='checkbox'><label for='data-a31794e2-0270-4b1c-b123-84f1fc3ec128' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Maximum individual wave height</dd><dt><span>short_name :</span></dt><dd>hmax</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_total_precipitation_rate_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fa5c874-91e2-4ada-8ad0-3a7ae046e09e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fa5c874-91e2-4ada-8ad0-3a7ae046e09e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a5c3ba3-01cb-4a2e-bf5f-db3ff7f47826' class='xr-var-data-in' type='checkbox'><label for='data-7a5c3ba3-01cb-4a2e-bf5f-db3ff7f47826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Maximum total precipitation rate since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mxtpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_boundary_layer_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6632f815-cf37-4f66-ad71-afb5469e93d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6632f815-cf37-4f66-ad71-afb5469e93d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8ac773e-aadb-4de7-81e6-e6c3dd7097d6' class='xr-var-data-in' type='checkbox'><label for='data-b8ac773e-aadb-4de7-81e6-e6c3dd7097d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean boundary layer dissipation</dd><dt><span>short_name :</span></dt><dd>mbld</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_convective_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a55de66-a05b-4dfb-b5a4-afaee7bac760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a55de66-a05b-4dfb-b5a4-afaee7bac760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1d8f58-19e3-449f-88db-c42bea85a8d9' class='xr-var-data-in' type='checkbox'><label for='data-3c1d8f58-19e3-449f-88db-c42bea85a8d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean convective precipitation rate</dd><dt><span>short_name :</span></dt><dd>mcpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_convective_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e653d9d9-fef8-45c7-ace1-0785a35e868a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e653d9d9-fef8-45c7-ace1-0785a35e868a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a5dcd24-dd93-4c23-a621-cc829a666b39' class='xr-var-data-in' type='checkbox'><label for='data-4a5dcd24-dd93-4c23-a621-cc829a666b39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean convective snowfall rate</dd><dt><span>short_name :</span></dt><dd>mcsr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_direction_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a660c61-cd85-47cb-8f50-db9ec52eb838' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a660c61-cd85-47cb-8f50-db9ec52eb838' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ced5db6f-1a64-4fe8-b801-96ce9130a95c' class='xr-var-data-in' type='checkbox'><label for='data-ced5db6f-1a64-4fe8-b801-96ce9130a95c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean direction of total swell</dd><dt><span>short_name :</span></dt><dd>mdts</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_direction_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fd29d10-e8d0-4e9c-b7f9-146aecebd23f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fd29d10-e8d0-4e9c-b7f9-146aecebd23f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-884aa4a9-5aca-4ec7-9944-dd20c6659e1a' class='xr-var-data-in' type='checkbox'><label for='data-884aa4a9-5aca-4ec7-9944-dd20c6659e1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean direction of wind waves</dd><dt><span>short_name :</span></dt><dd>mdww</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_eastward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f5be24d-9cb1-479c-9a13-8c2b2da9fd74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f5be24d-9cb1-479c-9a13-8c2b2da9fd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f2ae5b0-f3bf-48d8-8b96-a523d2c9ca3a' class='xr-var-data-in' type='checkbox'><label for='data-4f2ae5b0-f3bf-48d8-8b96-a523d2c9ca3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean eastward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>megwss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_eastward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e56d54bf-f320-4fcf-908e-0111d7519648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e56d54bf-f320-4fcf-908e-0111d7519648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc0bc42-2cc0-47e6-85cd-93e176e2861f' class='xr-var-data-in' type='checkbox'><label for='data-fcc0bc42-2cc0-47e6-85cd-93e176e2861f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean eastward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>metss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6b4c8cc-9cbc-461b-a054-a8e9bd836c3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6b4c8cc-9cbc-461b-a054-a8e9bd836c3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb0de8bf-4bb8-4d0f-8ad8-83d029d5c0d3' class='xr-var-data-in' type='checkbox'><label for='data-cb0de8bf-4bb8-4d0f-8ad8-83d029d5c0d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean evaporation rate</dd><dt><span>short_name :</span></dt><dd>mer</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_gravity_wave_dissipation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9e0d3f8-7fbe-4127-a285-c49c3179b220' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9e0d3f8-7fbe-4127-a285-c49c3179b220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a46f25f-41cf-4631-b841-5bfb34fd37ed' class='xr-var-data-in' type='checkbox'><label for='data-4a46f25f-41cf-4631-b841-5bfb34fd37ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean gravity wave dissipation</dd><dt><span>short_name :</span></dt><dd>mgwd</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_precipitation_fraction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9a25378-edb1-446b-8e28-a0e5bdd51364' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9a25378-edb1-446b-8e28-a0e5bdd51364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db593963-8531-4409-a51d-6893a67fa3d7' class='xr-var-data-in' type='checkbox'><label for='data-db593963-8531-4409-a51d-6893a67fa3d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean large-scale precipitation fraction</dd><dt><span>short_name :</span></dt><dd>mlspf</dd><dt><span>units :</span></dt><dd>Proportion</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8b14ac7-ee66-47f3-90be-ddbb3cf86b49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8b14ac7-ee66-47f3-90be-ddbb3cf86b49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-318d66bd-34fa-4742-a7f3-691a58cd9726' class='xr-var-data-in' type='checkbox'><label for='data-318d66bd-34fa-4742-a7f3-691a58cd9726' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean large-scale precipitation rate</dd><dt><span>short_name :</span></dt><dd>mlspr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_large_scale_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14e046c5-6588-451d-a657-0e2186947af7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14e046c5-6588-451d-a657-0e2186947af7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837c9b71-4d5c-44fb-b294-97dbb2702fa6' class='xr-var-data-in' type='checkbox'><label for='data-837c9b71-4d5c-44fb-b294-97dbb2702fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean large-scale snowfall rate</dd><dt><span>short_name :</span></dt><dd>mlssr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_northward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be00eb64-8112-478b-b4bb-0b35447919c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be00eb64-8112-478b-b4bb-0b35447919c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a8c5890-436a-49aa-94b8-f8df18c861f7' class='xr-var-data-in' type='checkbox'><label for='data-5a8c5890-436a-49aa-94b8-f8df18c861f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean northward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>mngwss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6035b0b-9d00-4781-8532-cab39dd41818' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6035b0b-9d00-4781-8532-cab39dd41818' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33ed592a-d12c-4ca5-a981-eb85997b47f2' class='xr-var-data-in' type='checkbox'><label for='data-33ed592a-d12c-4ca5-a981-eb85997b47f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>mntss</dd><dt><span>units :</span></dt><dd>N m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_period_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc217c77-c24b-43eb-b6f9-59a2e5551bdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc217c77-c24b-43eb-b6f9-59a2e5551bdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c841a8e-6720-4e86-9142-0fce95924780' class='xr-var-data-in' type='checkbox'><label for='data-0c841a8e-6720-4e86-9142-0fce95924780' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean period of total swell</dd><dt><span>short_name :</span></dt><dd>mpts</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_period_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e5dbe3d-dbc4-4f85-938d-6d922ffabbe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5dbe3d-dbc4-4f85-938d-6d922ffabbe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca08ba75-ef31-47f7-9227-a0dbdef9f3d6' class='xr-var-data-in' type='checkbox'><label for='data-ca08ba75-ef31-47f7-9227-a0dbdef9f3d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean period of wind waves</dd><dt><span>short_name :</span></dt><dd>mpww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_potential_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41c99736-fa6e-41c7-8831-675b7a04e2bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41c99736-fa6e-41c7-8831-675b7a04e2bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7d4e378-a075-4044-a2f6-7b6912f9a8d4' class='xr-var-data-in' type='checkbox'><label for='data-c7d4e378-a075-4044-a2f6-7b6912f9a8d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean potential evaporation rate</dd><dt><span>short_name :</span></dt><dd>mper</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a155852b-e777-43f0-adad-647afc66f149' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a155852b-e777-43f0-adad-647afc66f149' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ea33067-8051-4b97-bb7d-5c27c8ef5475' class='xr-var-data-in' type='checkbox'><label for='data-4ea33067-8051-4b97-bb7d-5c27c8ef5475' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean runoff rate</dd><dt><span>short_name :</span></dt><dd>mror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_level_pressure</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-409582e5-f0dd-42de-bb16-727670f58f82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-409582e5-f0dd-42de-bb16-727670f58f82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c138ab-8be4-4bb3-82a9-68b27af703ee' class='xr-var-data-in' type='checkbox'><label for='data-70c138ab-8be4-4bb3-82a9-68b27af703ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>short_name :</span></dt><dd>msl</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snow_evaporation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4eca8ff3-20d3-44f7-8c59-f0e58ad64fd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4eca8ff3-20d3-44f7-8c59-f0e58ad64fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40a457ea-fcca-4cb7-85ff-9b26614fcfb0' class='xr-var-data-in' type='checkbox'><label for='data-40a457ea-fcca-4cb7-85ff-9b26614fcfb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean snow evaporation rate</dd><dt><span>short_name :</span></dt><dd>mser</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snowfall_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c72dd813-79d3-4cda-8bc0-546ce8933e95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c72dd813-79d3-4cda-8bc0-546ce8933e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d381381-cc6e-4d46-9187-8281eacadfab' class='xr-var-data-in' type='checkbox'><label for='data-0d381381-cc6e-4d46-9187-8281eacadfab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean snowfall rate</dd><dt><span>short_name :</span></dt><dd>msr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_snowmelt_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb627526-f157-4022-adab-c040196f222f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb627526-f157-4022-adab-c040196f222f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c665d9e-5f27-41cb-b23f-8fcd31465c7e' class='xr-var-data-in' type='checkbox'><label for='data-6c665d9e-5f27-41cb-b23f-8fcd31465c7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean snowmelt rate</dd><dt><span>short_name :</span></dt><dd>msmr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_square_slope_of_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3cb4a2d-bdb4-4498-b8ba-4c84d4e1f271' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3cb4a2d-bdb4-4498-b8ba-4c84d4e1f271' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c163128-8cba-4071-902e-c2b24485346c' class='xr-var-data-in' type='checkbox'><label for='data-2c163128-8cba-4071-902e-c2b24485346c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean square slope of waves</dd><dt><span>short_name :</span></dt><dd>msqs</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sub_surface_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f8504ba-67ae-4d88-90ae-8319d82e9e8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f8504ba-67ae-4d88-90ae-8319d82e9e8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd1061e5-71cf-4322-97f5-a291b27e4061' class='xr-var-data-in' type='checkbox'><label for='data-bd1061e5-71cf-4322-97f5-a291b27e4061' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean sub-surface runoff rate</dd><dt><span>short_name :</span></dt><dd>mssror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_direct_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bff8bb76-e3e6-4a75-81a4-753051a80e9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bff8bb76-e3e6-4a75-81a4-753051a80e9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f9010d9-6059-4c35-ae6b-b1585b2402f9' class='xr-var-data-in' type='checkbox'><label for='data-7f9010d9-6059-4c35-ae6b-b1585b2402f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface direct short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdrswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_direct_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ba31a83-ee92-4b77-b41a-8b3b583793f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ba31a83-ee92-4b77-b41a-8b3b583793f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-591c1c9f-4b4b-4888-8408-43ec9b8ff0e4' class='xr-var-data-in' type='checkbox'><label for='data-591c1c9f-4b4b-4888-8408-43ec9b8ff0e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface direct short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdrswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-16d66aa2-41c3-47c2-88ee-9b819927d9ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16d66aa2-41c3-47c2-88ee-9b819927d9ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3978567c-d6e0-4ea8-a886-2683c8f3b671' class='xr-var-data-in' type='checkbox'><label for='data-3978567c-d6e0-4ea8-a886-2683c8f3b671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface downward long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2429dd5-2cb8-49cc-8438-05b307d48ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2429dd5-2cb8-49cc-8438-05b307d48ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a76569b-bc6c-4e7b-b8b8-b3cc393ec9c2' class='xr-var-data-in' type='checkbox'><label for='data-3a76569b-bc6c-4e7b-b8b8-b3cc393ec9c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface downward long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdwlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82b50f02-a644-45be-b3bc-fac163e63939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82b50f02-a644-45be-b3bc-fac163e63939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b26c19e4-3da2-4c1f-9f0d-f60e8ae19077' class='xr-var-data-in' type='checkbox'><label for='data-b26c19e4-3da2-4c1f-9f0d-f60e8ae19077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a35b4f7-1010-46f6-b23b-b9db2ff7c63d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a35b4f7-1010-46f6-b23b-b9db2ff7c63d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf60f70b-df39-4169-bde3-2237c56533cc' class='xr-var-data-in' type='checkbox'><label for='data-bf60f70b-df39-4169-bde3-2237c56533cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface downward short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msdwswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_downward_uv_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-883c936e-22e3-4b5c-86f5-3c8353a72595' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-883c936e-22e3-4b5c-86f5-3c8353a72595' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de00fd97-6fe2-49dc-877c-66766cab839b' class='xr-var-data-in' type='checkbox'><label for='data-de00fd97-6fe2-49dc-877c-66766cab839b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface downward UV radiation flux</dd><dt><span>short_name :</span></dt><dd>msdwuvrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_latent_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7c708f1-3067-4d2b-8965-b8288276cb75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7c708f1-3067-4d2b-8965-b8288276cb75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82f4a06c-b4b1-4c6f-ad83-4f1737dcf6be' class='xr-var-data-in' type='checkbox'><label for='data-82f4a06c-b4b1-4c6f-ad83-4f1737dcf6be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface latent heat flux</dd><dt><span>short_name :</span></dt><dd>mslhf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a68e8820-4f6d-499f-a0aa-81c0ecd55fbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a68e8820-4f6d-499f-a0aa-81c0ecd55fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc42b6bd-984a-4102-875b-6d6e0bc725a3' class='xr-var-data-in' type='checkbox'><label for='data-bc42b6bd-984a-4102-875b-6d6e0bc725a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface net long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msnlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb92594e-07df-48ff-959e-b9475da961d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb92594e-07df-48ff-959e-b9475da961d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-430acf03-e211-4c55-b292-b9b310ff3374' class='xr-var-data-in' type='checkbox'><label for='data-430acf03-e211-4c55-b292-b9b310ff3374' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface net long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msnlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34b222a7-3add-4413-85c4-b72cb4890bb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34b222a7-3add-4413-85c4-b72cb4890bb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214cb81a-38b0-4495-ab88-9a63298b42ab' class='xr-var-data-in' type='checkbox'><label for='data-214cb81a-38b0-4495-ab88-9a63298b42ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface net short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>msnswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_net_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4608c1b-5abf-45f1-80d0-dcfa9a7c18f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4608c1b-5abf-45f1-80d0-dcfa9a7c18f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-355a2496-7d74-4228-a353-9a03b7c3f0df' class='xr-var-data-in' type='checkbox'><label for='data-355a2496-7d74-4228-a353-9a03b7c3f0df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface net short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>msnswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_runoff_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb8eccdc-2973-448f-a581-c58f303b15bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb8eccdc-2973-448f-a581-c58f303b15bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6b49084-2bc0-4d76-a4b5-659c048e38d6' class='xr-var-data-in' type='checkbox'><label for='data-d6b49084-2bc0-4d76-a4b5-659c048e38d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface runoff rate</dd><dt><span>short_name :</span></dt><dd>msror</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e45bbfdb-7af6-4098-81d3-7b734a14982a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e45bbfdb-7af6-4098-81d3-7b734a14982a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3ed50b-5155-493d-97ad-4cf124557785' class='xr-var-data-in' type='checkbox'><label for='data-9c3ed50b-5155-493d-97ad-4cf124557785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>msshf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_downward_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c13183bf-03ea-4803-883d-06c8883d8758' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c13183bf-03ea-4803-883d-06c8883d8758' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bd999fb-cad4-48d0-bca0-a6c0173502d3' class='xr-var-data-in' type='checkbox'><label for='data-4bd999fb-cad4-48d0-bca0-a6c0173502d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtdwswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_long_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35414a7e-47c4-4cf5-a192-72dd499391e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35414a7e-47c4-4cf5-a192-72dd499391e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be3d293c-9ff9-4068-8210-830588b7bb7c' class='xr-var-data-in' type='checkbox'><label for='data-be3d293c-9ff9-4068-8210-830588b7bb7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top net long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtnlwrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_long_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-115568c4-78e3-4413-be08-39bd766d241c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-115568c4-78e3-4413-be08-39bd766d241c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54220c1e-6bea-45fe-a4c1-1a4a2f53a70b' class='xr-var-data-in' type='checkbox'><label for='data-54220c1e-6bea-45fe-a4c1-1a4a2f53a70b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top net long-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>mtnlwrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_short_wave_radiation_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52053604-d0d3-4e10-989a-bb04cb081629' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52053604-d0d3-4e10-989a-bb04cb081629' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ef19ee9-57c3-4e51-a79a-c58aa6149ca6' class='xr-var-data-in' type='checkbox'><label for='data-6ef19ee9-57c3-4e51-a79a-c58aa6149ca6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top net short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>mtnswrf</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_top_net_short_wave_radiation_flux_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa22c892-f43d-4a00-92c9-85c03056fe55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa22c892-f43d-4a00-92c9-85c03056fe55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a1c2168-cccc-453b-9b79-7ff51d52100f' class='xr-var-data-in' type='checkbox'><label for='data-3a1c2168-cccc-453b-9b79-7ff51d52100f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top net short-wave radiation flux, clear sky</dd><dt><span>short_name :</span></dt><dd>mtnswrfcs</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_total_precipitation_rate</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f165a7d5-d173-48c1-af99-53925a3b8044' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f165a7d5-d173-48c1-af99-53925a3b8044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f53775-79bf-4e93-8f25-3e3516ad42ed' class='xr-var-data-in' type='checkbox'><label for='data-18f53775-79bf-4e93-8f25-3e3516ad42ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean total precipitation rate</dd><dt><span>short_name :</span></dt><dd>mtpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_vertical_gradient_of_refractivity_inside_trapping_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc55f924-5826-45d2-8336-f364c0c56a9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc55f924-5826-45d2-8336-f364c0c56a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bd424fd-569d-402b-b95e-e77e817ea493' class='xr-var-data-in' type='checkbox'><label for='data-3bd424fd-569d-402b-b95e-e77e817ea493' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean vertical gradient of refractivity inside trapping layer</dd><dt><span>short_name :</span></dt><dd>dndza</dd><dt><span>units :</span></dt><dd>m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_vertically_integrated_moisture_divergence</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39943fa3-6cef-467a-afe7-5c75599aad0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39943fa3-6cef-467a-afe7-5c75599aad0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e7741c1-155c-4a96-8f2e-0088246c003b' class='xr-var-data-in' type='checkbox'><label for='data-8e7741c1-155c-4a96-8f2e-0088246c003b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean vertically integrated moisture divergence</dd><dt><span>short_name :</span></dt><dd>mvimd</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60410336-8a53-40f1-ab90-756dd3b629a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60410336-8a53-40f1-ab90-756dd3b629a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e155b9-94bd-4ec5-8665-b4b670e5d731' class='xr-var-data-in' type='checkbox'><label for='data-95e155b9-94bd-4ec5-8665-b4b670e5d731' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave direction</dd><dt><span>short_name :</span></dt><dd>mwd</dd><dt><span>units :</span></dt><dd>Degree true</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d090426-4be9-4b74-b7f2-962f3ba4edb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d090426-4be9-4b74-b7f2-962f3ba4edb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d99a5ef-8af6-47d3-b3bc-64902c9b1d10' class='xr-var-data-in' type='checkbox'><label for='data-0d99a5ef-8af6-47d3-b3bc-64902c9b1d10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave direction of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140122</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c890b7b-0d69-4dfb-87e1-bb2827c1cb3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c890b7b-0d69-4dfb-87e1-bb2827c1cb3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c096a24b-683d-45ed-b662-8cca06fd53d7' class='xr-var-data-in' type='checkbox'><label for='data-c096a24b-683d-45ed-b662-8cca06fd53d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave direction of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140125</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba4d0f04-2211-4582-b560-9c4ecd46f7bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba4d0f04-2211-4582-b560-9c4ecd46f7bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b99a261f-21ea-4b2b-b129-9fe088180ed9' class='xr-var-data-in' type='checkbox'><label for='data-b99a261f-21ea-4b2b-b129-9fe088180ed9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave direction of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140128</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72ae6655-8122-4205-9c1f-71d9a334f672' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ae6655-8122-4205-9c1f-71d9a334f672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf75a2a-4a90-4921-adb8-b1d7aeb3f912' class='xr-var-data-in' type='checkbox'><label for='data-eaf75a2a-4a90-4921-adb8-b1d7aeb3f912' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period</dd><dt><span>short_name :</span></dt><dd>mwp</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f52e15c-65e3-46cc-bc11-f5d78db73431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f52e15c-65e3-46cc-bc11-f5d78db73431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-795e14da-7543-4d5e-addc-c2d8479af33f' class='xr-var-data-in' type='checkbox'><label for='data-795e14da-7543-4d5e-addc-c2d8479af33f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period based on first moment</dd><dt><span>short_name :</span></dt><dd>mp1</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1612517f-0fd0-4c64-a371-9bd9f6f61c52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1612517f-0fd0-4c64-a371-9bd9f6f61c52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012423ce-a606-456f-8b47-979ffcb4a126' class='xr-var-data-in' type='checkbox'><label for='data-012423ce-a606-456f-8b47-979ffcb4a126' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period based on first moment for swell</dd><dt><span>short_name :</span></dt><dd>p1ps</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_first_moment_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-510ff2e3-3e6c-41ff-b8b2-896d968beabb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-510ff2e3-3e6c-41ff-b8b2-896d968beabb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03b2ffbd-b4e7-480f-b021-595ee16561f4' class='xr-var-data-in' type='checkbox'><label for='data-03b2ffbd-b4e7-480f-b021-595ee16561f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period based on first moment for wind waves</dd><dt><span>short_name :</span></dt><dd>p1ww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_second_moment_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e94bb986-413a-48e0-854f-248a3f6ac2ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e94bb986-413a-48e0-854f-248a3f6ac2ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73f7ec1d-df76-4a0f-9860-bfcdcc0afe3d' class='xr-var-data-in' type='checkbox'><label for='data-73f7ec1d-df76-4a0f-9860-bfcdcc0afe3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period based on second moment for swell</dd><dt><span>short_name :</span></dt><dd>p2ps</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_based_on_second_moment_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98980082-5973-4a49-9977-0857d2ed051d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98980082-5973-4a49-9977-0857d2ed051d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5991ca58-7728-424b-aa23-d3312011570c' class='xr-var-data-in' type='checkbox'><label for='data-5991ca58-7728-424b-aa23-d3312011570c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period based on second moment for wind waves</dd><dt><span>short_name :</span></dt><dd>p2ww</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e133be13-2fa3-41ac-9814-04dd560642d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e133be13-2fa3-41ac-9814-04dd560642d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b25c020-e74e-483b-983e-3036e8688423' class='xr-var-data-in' type='checkbox'><label for='data-3b25c020-e74e-483b-983e-3036e8688423' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140123</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-194c3e53-b7fe-4c9a-b74b-27cae81846b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-194c3e53-b7fe-4c9a-b74b-27cae81846b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79a9dda7-9336-4ddb-8185-e60c830dfc66' class='xr-var-data-in' type='checkbox'><label for='data-79a9dda7-9336-4ddb-8185-e60c830dfc66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140126</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8570944-0b6c-4aa5-932b-01c3367c2deb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8570944-0b6c-4aa5-932b-01c3367c2deb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be7a7767-a3d0-49f2-8fed-6640dfd39607' class='xr-var-data-in' type='checkbox'><label for='data-be7a7767-a3d0-49f2-8fed-6640dfd39607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean wave period of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140129</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_zero_crossing_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37dc18e3-d649-4ece-9804-98c1853173a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37dc18e3-d649-4ece-9804-98c1853173a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cefe7a36-5bfa-45ba-9f24-a7123a0b1e00' class='xr-var-data-in' type='checkbox'><label for='data-cefe7a36-5bfa-45ba-9f24-a7123a0b1e00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean zero-crossing wave period</dd><dt><span>short_name :</span></dt><dd>mp2</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>medium_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9dfdd73e-7fe8-478a-a422-4559c9594787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dfdd73e-7fe8-478a-a422-4559c9594787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b573374d-2416-4d15-af63-b9760bf4e8d7' class='xr-var-data-in' type='checkbox'><label for='data-b573374d-2416-4d15-af63-b9760bf4e8d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Medium cloud cover</dd><dt><span>short_name :</span></dt><dd>mcc</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_2m_temperature_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43dc4e44-f359-4136-8e1f-bdd21d287c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43dc4e44-f359-4136-8e1f-bdd21d287c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-263637ab-c693-4b8e-a97f-5ede1d039dfa' class='xr-var-data-in' type='checkbox'><label for='data-263637ab-c693-4b8e-a97f-5ede1d039dfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Minimum temperature at 2 metres since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mn2t</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_total_precipitation_rate_since_previous_post_processing</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8111b77d-02ce-498a-ad5e-aed6823e7cc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8111b77d-02ce-498a-ad5e-aed6823e7cc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83925fd4-e7c6-4998-8e06-782d4fdb712f' class='xr-var-data-in' type='checkbox'><label for='data-83925fd4-e7c6-4998-8e06-782d4fdb712f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Minimum total precipitation rate since previous post-processing</dd><dt><span>short_name :</span></dt><dd>mntpr</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minimum_vertical_gradient_of_refractivity_inside_trapping_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9349edbe-9d66-412c-8366-036b4f71b0d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9349edbe-9d66-412c-8366-036b4f71b0d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e972c8e-d145-4cb9-93f8-3f757850085e' class='xr-var-data-in' type='checkbox'><label for='data-0e972c8e-d145-4cb9-93f8-3f757850085e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Minimum vertical gradient of refractivity inside trapping layer</dd><dt><span>short_name :</span></dt><dd>dndzn</dd><dt><span>units :</span></dt><dd>m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_bathymetry</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdd78f35-adb6-44de-a081-a31c9f60577e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdd78f35-adb6-44de-a081-a31c9f60577e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cb8cc30-2798-4f4a-a58c-4d263f18b8ab' class='xr-var-data-in' type='checkbox'><label for='data-3cb8cc30-2798-4f4a-a58c-4d263f18b8ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Model bathymetry</dd><dt><span>short_name :</span></dt><dd>wmb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>near_ir_albedo_for_diffuse_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2742bc05-7fb0-4bad-bbf3-fc591d0b3d9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2742bc05-7fb0-4bad-bbf3-fc591d0b3d9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37ea13aa-a5e2-435b-a6a3-84bc52fc503e' class='xr-var-data-in' type='checkbox'><label for='data-37ea13aa-a5e2-435b-a6a3-84bc52fc503e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Near IR albedo for diffuse radiation</dd><dt><span>short_name :</span></dt><dd>alnid</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>near_ir_albedo_for_direct_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f371a8b-9f32-4ef2-ad1f-ace8194b398c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f371a8b-9f32-4ef2-ad1f-ace8194b398c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c698a28-5dcd-4c8f-98df-15af7c9cd869' class='xr-var-data-in' type='checkbox'><label for='data-0c698a28-5dcd-4c8f-98df-15af7c9cd869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Near IR albedo for direct radiation</dd><dt><span>short_name :</span></dt><dd>alnip</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_energy_flux_into_ocean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4a7a16e-9658-41bb-9d88-d62f4c49c56c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4a7a16e-9658-41bb-9d88-d62f4c49c56c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b5fc54e-ac7e-4e56-96fd-fd0801dfe2b3' class='xr-var-data-in' type='checkbox'><label for='data-0b5fc54e-ac7e-4e56-96fd-fd0801dfe2b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalized energy flux into ocean</dd><dt><span>short_name :</span></dt><dd>phioc</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_energy_flux_into_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-091f89e2-1fb2-4392-9a64-54e5720c7528' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-091f89e2-1fb2-4392-9a64-54e5720c7528' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-832fad9d-5645-45bb-9d03-31753e1f0de5' class='xr-var-data-in' type='checkbox'><label for='data-832fad9d-5645-45bb-9d03-31753e1f0de5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalized energy flux into waves</dd><dt><span>short_name :</span></dt><dd>phiaw</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>normalized_stress_into_ocean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc568507-8712-4c84-888d-410ce377ff5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc568507-8712-4c84-888d-410ce377ff5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8848fab3-6e6d-4d45-95b1-fe5a1a0870f6' class='xr-var-data-in' type='checkbox'><label for='data-8848fab3-6e6d-4d45-95b1-fe5a1a0870f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalized stress into ocean</dd><dt><span>short_name :</span></dt><dd>tauoc</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_gravity_wave_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ee5ae55-8f50-4f68-93d2-b2d025c5128e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ee5ae55-8f50-4f68-93d2-b2d025c5128e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04c5be0a-5107-4d44-820a-0c0665b0e8ab' class='xr-var-data-in' type='checkbox'><label for='data-04c5be0a-5107-4d44-820a-0c0665b0e8ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Northward gravity wave surface stress</dd><dt><span>short_name :</span></dt><dd>mgws</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_turbulent_surface_stress</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48d3b85a-f162-40b3-bd7c-c35ade6f0dcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48d3b85a-f162-40b3-bd7c-c35ade6f0dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e424ae-c5e5-44c2-8633-bdf560c3b260' class='xr-var-data-in' type='checkbox'><label for='data-70e424ae-c5e5-44c2-8633-bdf560c3b260' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Northward turbulent surface stress</dd><dt><span>short_name :</span></dt><dd>nsss</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress</dd><dt><span>units :</span></dt><dd>N m**-2 s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_surface_stress_equivalent_10m_neutral_wind_direction</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-647ef064-41f0-4ca4-b1ff-72f114600979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-647ef064-41f0-4ca4-b1ff-72f114600979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe335feb-f7c2-4fb8-90a9-4c6ff22da87d' class='xr-var-data-in' type='checkbox'><label for='data-fe335feb-f7c2-4fb8-90a9-4c6ff22da87d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre wind direction</dd><dt><span>short_name :</span></dt><dd>dwi</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_surface_stress_equivalent_10m_neutral_wind_speed</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-430e4b29-c222-4f3e-853d-9fb712516415' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-430e4b29-c222-4f3e-853d-9fb712516415' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c53df9d-6886-4387-a807-abdb206581be' class='xr-var-data-in' type='checkbox'><label for='data-6c53df9d-6886-4387-a807-abdb206581be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre wind speed</dd><dt><span>short_name :</span></dt><dd>wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ozone_mass_mixing_ratio</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7458fa41-04ae-473a-9476-6cb04cace5c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7458fa41-04ae-473a-9476-6cb04cace5c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0a2c4f1-b7c9-4a56-9a99-fb40be1be1ed' class='xr-var-data-in' type='checkbox'><label for='data-b0a2c4f1-b7c9-4a56-9a99-fb40be1be1ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ozone mass mixing ratio</dd><dt><span>short_name :</span></dt><dd>o3</dd><dt><span>standard_name :</span></dt><dd>mass_fraction_of_ozone_in_air</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>peak_wave_period</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b3ac9cd-628c-41d9-af03-6f4477ef0d0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b3ac9cd-628c-41d9-af03-6f4477ef0d0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82fb79d3-c09e-4708-9d63-d8d3db279dd9' class='xr-var-data-in' type='checkbox'><label for='data-82fb79d3-c09e-4708-9d63-d8d3db279dd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Peak wave period</dd><dt><span>short_name :</span></dt><dd>pp1d</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>period_corresponding_to_maximum_individual_wave_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1295bac5-0ce8-4c60-b3b6-852a05d63b2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1295bac5-0ce8-4c60-b3b6-852a05d63b2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-172b9ea8-2079-4799-a1b1-9bb9dea7561b' class='xr-var-data-in' type='checkbox'><label for='data-172b9ea8-2079-4799-a1b1-9bb9dea7561b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Period corresponding to maximum individual wave height</dd><dt><span>short_name :</span></dt><dd>tmax</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60f44c41-b93d-411b-a492-b9149911c2b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60f44c41-b93d-411b-a492-b9149911c2b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6c39a2d-d89c-4246-979f-13c1bf5f728f' class='xr-var-data-in' type='checkbox'><label for='data-f6c39a2d-d89c-4246-979f-13c1bf5f728f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential evaporation</dd><dt><span>short_name :</span></dt><dd>pev</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_vorticity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5fb247a8-c797-4a61-833c-2687c2c288f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fb247a8-c797-4a61-833c-2687c2c288f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-126d2f0c-cb30-47af-889c-762ac22b773a' class='xr-var-data-in' type='checkbox'><label for='data-126d2f0c-cb30-47af-889c-762ac22b773a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Potential vorticity</dd><dt><span>short_name :</span></dt><dd>pv</dd><dt><span>units :</span></dt><dd>K m**2 kg**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_type</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86a54ff7-4c0c-42d2-9e6e-37495a8d5485' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86a54ff7-4c0c-42d2-9e6e-37495a8d5485' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c855abf8-f647-4d99-99b1-b4bdd5dfdbe1' class='xr-var-data-in' type='checkbox'><label for='data-c855abf8-f647-4d99-99b1-b4bdd5dfdbe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitation type</dd><dt><span>short_name :</span></dt><dd>ptype</dd><dt><span>units :</span></dt><dd>code table (4.201)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b883d693-2d91-4e8c-b693-d00a24a47007' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b883d693-2d91-4e8c-b693-d00a24a47007' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72072d5e-f447-4d25-a0f5-c95e63287344' class='xr-var-data-in' type='checkbox'><label for='data-72072d5e-f447-4d25-a0f5-c95e63287344' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Runoff</dd><dt><span>short_name :</span></dt><dd>ro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3155f2f-f960-4944-a3e5-a1ba782af88f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3155f2f-f960-4944-a3e5-a1ba782af88f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542bb3f3-9603-4585-944d-1ea2143016f5' class='xr-var-data-in' type='checkbox'><label for='data-542bb3f3-9603-4585-944d-1ea2143016f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea ice area fraction</dd><dt><span>short_name :</span></dt><dd>siconc</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61366309-1a17-4a50-9418-613835bc4d60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61366309-1a17-4a50-9418-613835bc4d60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3e21f9c-8291-4f5c-81f8-34e90f9e8754' class='xr-var-data-in' type='checkbox'><label for='data-a3e21f9c-8291-4f5c-81f8-34e90f9e8754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface temperature</dd><dt><span>short_name :</span></dt><dd>sst</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_combined_wind_waves_and_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19909ac2-3f77-43a7-8ce6-1f86523e17ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19909ac2-3f77-43a7-8ce6-1f86523e17ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c9b699d-e54e-477b-b585-7e47f93b3511' class='xr-var-data-in' type='checkbox'><label for='data-6c9b699d-e54e-477b-b585-7e47f93b3511' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant height of combined wind waves and swell</dd><dt><span>short_name :</span></dt><dd>swh</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_total_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d800ee71-ff0f-4664-945c-818f8e5af3b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d800ee71-ff0f-4664-945c-818f8e5af3b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86ec7256-7b80-4df3-b0d6-8969f9e6f0fb' class='xr-var-data-in' type='checkbox'><label for='data-86ec7256-7b80-4df3-b0d6-8969f9e6f0fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant height of total swell</dd><dt><span>short_name :</span></dt><dd>shts</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_height_of_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afc6f101-5361-44ed-9836-c1ab9bf48be3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afc6f101-5361-44ed-9836-c1ab9bf48be3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-affefa3a-3041-4728-84c4-8229c537c00b' class='xr-var-data-in' type='checkbox'><label for='data-affefa3a-3041-4728-84c4-8229c537c00b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant height of wind waves</dd><dt><span>short_name :</span></dt><dd>shww</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_first_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f41c9a03-0f84-46b1-96a8-18fd96cf00b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f41c9a03-0f84-46b1-96a8-18fd96cf00b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d078465b-4f01-4454-b4f1-3ed3eeeb6239' class='xr-var-data-in' type='checkbox'><label for='data-d078465b-4f01-4454-b4f1-3ed3eeeb6239' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant wave height of first swell partition</dd><dt><span>short_name :</span></dt><dd>p140121</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_second_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a91e6770-fac0-4ee2-95de-cffe9c61cc36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a91e6770-fac0-4ee2-95de-cffe9c61cc36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15ff6a8-62ff-466f-a7a3-b096545a2dff' class='xr-var-data-in' type='checkbox'><label for='data-c15ff6a8-62ff-466f-a7a3-b096545a2dff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant wave height of second swell partition</dd><dt><span>short_name :</span></dt><dd>p140124</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>significant_wave_height_of_third_swell_partition</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3002c15e-40b6-4b6b-9aef-83b08be2e6ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3002c15e-40b6-4b6b-9aef-83b08be2e6ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-643b0bfd-928a-4d62-ab4c-ecdca591b240' class='xr-var-data-in' type='checkbox'><label for='data-643b0bfd-928a-4d62-ab4c-ecdca591b240' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Significant wave height of third swell partition</dd><dt><span>short_name :</span></dt><dd>p140127</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skin_reservoir_content</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f66ff517-e55a-4142-846d-b6c713ab15a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f66ff517-e55a-4142-846d-b6c713ab15a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af8f64e-e975-45ee-8ed1-5a9ea711ce28' class='xr-var-data-in' type='checkbox'><label for='data-9af8f64e-e975-45ee-8ed1-5a9ea711ce28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Skin reservoir content</dd><dt><span>short_name :</span></dt><dd>src</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skin_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6d894d8-9aa6-46ca-98fe-564df221c2ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6d894d8-9aa6-46ca-98fe-564df221c2ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cec17b4c-a443-4ed3-aa50-acf5e5db3b24' class='xr-var-data-in' type='checkbox'><label for='data-cec17b4c-a443-4ed3-aa50-acf5e5db3b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Skin temperature</dd><dt><span>short_name :</span></dt><dd>skt</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope_of_sub_gridscale_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab5b06c7-cdff-4261-b01f-0d21cf7bd6c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab5b06c7-cdff-4261-b01f-0d21cf7bd6c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7be17f7-0741-437e-aee5-e663f7b45a8c' class='xr-var-data-in' type='checkbox'><label for='data-a7be17f7-0741-437e-aee5-e663f7b45a8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Slope of sub-gridscale orography</dd><dt><span>short_name :</span></dt><dd>slor</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_albedo</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c3d8c52-e810-4cbd-be4f-b931a364b043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c3d8c52-e810-4cbd-be4f-b931a364b043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e1ddfe-2fee-4d84-b5ae-7cec3d1d65e9' class='xr-var-data-in' type='checkbox'><label for='data-88e1ddfe-2fee-4d84-b5ae-7cec3d1d65e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow albedo</dd><dt><span>short_name :</span></dt><dd>asn</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_density</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf413a1d-bf0f-4d7b-9ac6-3cb259e38939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf413a1d-bf0f-4d7b-9ac6-3cb259e38939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da7dbf53-d5e1-4a0a-ad72-1970339b19c1' class='xr-var-data-in' type='checkbox'><label for='data-da7dbf53-d5e1-4a0a-ad72-1970339b19c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow density</dd><dt><span>short_name :</span></dt><dd>rsn</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_depth</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38aa6dd4-6112-4704-8ac2-b67b6a2ce947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38aa6dd4-6112-4704-8ac2-b67b6a2ce947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6b51ed1-b0fd-4414-a4ea-8296b8c69273' class='xr-var-data-in' type='checkbox'><label for='data-c6b51ed1-b0fd-4414-a4ea-8296b8c69273' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>short_name :</span></dt><dd>sd</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_evaporation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0814aed-ea84-4efa-a204-9c7908a9cd54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0814aed-ea84-4efa-a204-9c7908a9cd54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb79ff28-f3dc-406c-9fa3-f34b0934af8c' class='xr-var-data-in' type='checkbox'><label for='data-eb79ff28-f3dc-406c-9fa3-f34b0934af8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snow evaporation</dd><dt><span>short_name :</span></dt><dd>es</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowfall</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c0bc865-23a6-404b-864f-841ba38547a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c0bc865-23a6-404b-864f-841ba38547a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6cc63ba-3a4c-46e7-a28a-c082c06f6632' class='xr-var-data-in' type='checkbox'><label for='data-c6cc63ba-3a4c-46e7-a28a-c082c06f6632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snowfall</dd><dt><span>short_name :</span></dt><dd>sf</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_snowfall_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>snowmelt</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3797cef-7f34-4aa5-bcbb-dae3304ceda5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3797cef-7f34-4aa5-bcbb-dae3304ceda5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8307f336-d148-4ff8-acc9-e7b49334cb2f' class='xr-var-data-in' type='checkbox'><label for='data-8307f336-d148-4ff8-acc9-e7b49334cb2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Snowmelt</dd><dt><span>short_name :</span></dt><dd>smlt</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36edeb46-21e6-4629-a8c8-bd5439b8762d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36edeb46-21e6-4629-a8c8-bd5439b8762d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ca31c21-89b4-4f2e-ba20-cdbc6940adde' class='xr-var-data-in' type='checkbox'><label for='data-3ca31c21-89b4-4f2e-ba20-cdbc6940adde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature level 1</dd><dt><span>short_name :</span></dt><dd>stl1</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e9ed1c0-120c-47ba-ad0e-b7ade2c033c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e9ed1c0-120c-47ba-ad0e-b7ade2c033c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63db356f-afd6-4b23-8961-c47fc909ee54' class='xr-var-data-in' type='checkbox'><label for='data-63db356f-afd6-4b23-8961-c47fc909ee54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature level 2</dd><dt><span>short_name :</span></dt><dd>stl2</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd2b60d6-9e95-41eb-91e6-dbfb1b1ab03b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd2b60d6-9e95-41eb-91e6-dbfb1b1ab03b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e03cfbff-0aae-4896-b143-db913fa07556' class='xr-var-data-in' type='checkbox'><label for='data-e03cfbff-0aae-4896-b143-db913fa07556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature level 3</dd><dt><span>short_name :</span></dt><dd>stl3</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_temperature_level_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34e0ef2c-f17a-4648-8871-3e9c71bee3b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e0ef2c-f17a-4648-8871-3e9c71bee3b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a22bdc23-148f-41ac-9aa9-2315de546478' class='xr-var-data-in' type='checkbox'><label for='data-a22bdc23-148f-41ac-9aa9-2315de546478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil temperature level 4</dd><dt><span>short_name :</span></dt><dd>stl4</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9565d34d-645d-4ad7-95dc-9ead5b3cc637' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9565d34d-645d-4ad7-95dc-9ead5b3cc637' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d5880a3-b4fe-4e77-b2f8-051f5349d7b2' class='xr-var-data-in' type='checkbox'><label for='data-9d5880a3-b4fe-4e77-b2f8-051f5349d7b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Soil type</dd><dt><span>short_name :</span></dt><dd>slt</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_cloud_ice_water_content</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b237be50-18b3-4f20-9323-f4746673d59f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b237be50-18b3-4f20-9323-f4746673d59f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7243f9b9-c0de-43de-b400-ae1d69e616e9' class='xr-var-data-in' type='checkbox'><label for='data-7243f9b9-c0de-43de-b400-ae1d69e616e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Specific cloud ice water content</dd><dt><span>short_name :</span></dt><dd>ciwc</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_cloud_liquid_water_content</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35ac036e-6266-48e9-b954-6a0d8a83002c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35ac036e-6266-48e9-b954-6a0d8a83002c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfedc94d-4ecf-4d2b-95b9-15faff21eb24' class='xr-var-data-in' type='checkbox'><label for='data-dfedc94d-4ecf-4d2b-95b9-15faff21eb24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Specific cloud liquid water content</dd><dt><span>short_name :</span></dt><dd>clwc</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>specific_humidity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f73be024-cdf6-4495-a805-36e42182f481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f73be024-cdf6-4495-a805-36e42182f481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e904b2-0b2d-4e57-ac0e-5a394a25f79b' class='xr-var-data-in' type='checkbox'><label for='data-42e904b2-0b2d-4e57-ac0e-5a394a25f79b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>short_name :</span></dt><dd>q</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_of_filtered_subgrid_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40181dd7-2d3e-4bde-adbf-f6f4383624ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40181dd7-2d3e-4bde-adbf-f6f4383624ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13d682b2-675e-419d-98e5-28f686ab278e' class='xr-var-data-in' type='checkbox'><label for='data-13d682b2-675e-419d-98e5-28f686ab278e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Standard deviation of filtered subgrid orography</dd><dt><span>short_name :</span></dt><dd>sdfor</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>standard_deviation_of_orography</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a35706b4-eec6-4b5d-b5bc-f07188b0fa97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a35706b4-eec6-4b5d-b5bc-f07188b0fa97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96dd42d5-8351-4c91-be63-91d5eb981f16' class='xr-var-data-in' type='checkbox'><label for='data-96dd42d5-8351-4c91-be63-91d5eb981f16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Standard deviation of orography</dd><dt><span>short_name :</span></dt><dd>sdor</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sub_surface_runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-572dc881-aae4-4d71-a9d5-78a17f9750b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-572dc881-aae4-4d71-a9d5-78a17f9750b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ad0255-d54a-4469-b9d7-67f53aa0fe0d' class='xr-var-data-in' type='checkbox'><label for='data-71ad0255-d54a-4469-b9d7-67f53aa0fe0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sub-surface runoff</dd><dt><span>short_name :</span></dt><dd>ssro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_latent_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cbb655d9-cddb-41dd-9f60-dccba3721a0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbb655d9-cddb-41dd-9f60-dccba3721a0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f12d3627-d981-4ce9-b303-b5c62eaa1279' class='xr-var-data-in' type='checkbox'><label for='data-f12d3627-d981-4ce9-b303-b5c62eaa1279' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface latent heat flux</dd><dt><span>short_name :</span></dt><dd>slhf</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30b79fdb-6fc7-45f0-a066-d4d96e75878b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30b79fdb-6fc7-45f0-a066-d4d96e75878b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2483a27-8d1f-4849-b95f-2b7c07d17d8b' class='xr-var-data-in' type='checkbox'><label for='data-a2483a27-8d1f-4849-b95f-2b7c07d17d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface net solar radiation</dd><dt><span>short_name :</span></dt><dd>ssr</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_solar_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c722712-e573-4f8d-96b3-514a54f02ae0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c722712-e573-4f8d-96b3-514a54f02ae0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e78e3c5-d76c-4a2f-a3cf-2076a8ee1e33' class='xr-var-data-in' type='checkbox'><label for='data-2e78e3c5-d76c-4a2f-a3cf-2076a8ee1e33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface net solar radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>ssrc</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux_assuming_clear_sky</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_thermal_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-198d1dbd-7958-452c-8034-c0016072d7aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-198d1dbd-7958-452c-8034-c0016072d7aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c3c393d-33ee-4d16-ae5b-e428b51d1981' class='xr-var-data-in' type='checkbox'><label for='data-4c3c393d-33ee-4d16-ae5b-e428b51d1981' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface net thermal radiation</dd><dt><span>short_name :</span></dt><dd>str</dd><dt><span>standard_name :</span></dt><dd>surface_net_upward_longwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_net_thermal_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c5e29a4-60f4-46b1-a69e-5ac26a08b489' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c5e29a4-60f4-46b1-a69e-5ac26a08b489' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb6882ff-763f-4c5d-a823-b6102f24d2bf' class='xr-var-data-in' type='checkbox'><label for='data-fb6882ff-763f-4c5d-a823-b6102f24d2bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface net thermal radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>strc</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_longwave_flux_assuming_clear_sky</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_pressure</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba5983e8-a1d1-4416-be03-66759d90ec09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5983e8-a1d1-4416-be03-66759d90ec09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2bb6804-885b-4061-8c55-388d5c3c492e' class='xr-var-data-in' type='checkbox'><label for='data-d2bb6804-885b-4061-8c55-388d5c3c492e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>short_name :</span></dt><dd>sp</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_runoff</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da9b135b-a69c-4d44-9945-05b3b701e9cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da9b135b-a69c-4d44-9945-05b3b701e9cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46df0d37-c468-4673-9817-cbfc8cf89ff0' class='xr-var-data-in' type='checkbox'><label for='data-46df0d37-c468-4673-9817-cbfc8cf89ff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface runoff</dd><dt><span>short_name :</span></dt><dd>sro</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_sensible_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0a8d5ea-4eac-4c0f-b194-aba3c0209d8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0a8d5ea-4eac-4c0f-b194-aba3c0209d8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1324755f-9703-4f80-9500-133555d99105' class='xr-var-data-in' type='checkbox'><label for='data-1324755f-9703-4f80-9500-133555d99105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface sensible heat flux</dd><dt><span>short_name :</span></dt><dd>sshf</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_solar_radiation_downward_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2367ba7-bafe-4561-8d78-54eaf52dec71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2367ba7-bafe-4561-8d78-54eaf52dec71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63ef302e-3e64-4bd3-8c6a-5d83c7b2c401' class='xr-var-data-in' type='checkbox'><label for='data-63ef302e-3e64-4bd3-8c6a-5d83c7b2c401' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface solar radiation downward clear-sky</dd><dt><span>short_name :</span></dt><dd>ssrdc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_solar_radiation_downwards</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd6168f3-a062-4c1f-a4f4-e9bb402efd1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd6168f3-a062-4c1f-a4f4-e9bb402efd1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-631c14bc-9b58-4245-9dd6-7da503edd50a' class='xr-var-data-in' type='checkbox'><label for='data-631c14bc-9b58-4245-9dd6-7da503edd50a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface solar radiation downwards</dd><dt><span>short_name :</span></dt><dd>ssrd</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_thermal_radiation_downward_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80600d9a-a387-449e-a3cc-0f777369a417' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80600d9a-a387-449e-a3cc-0f777369a417' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5feb5ff1-b7ba-48bf-959c-fc440c8773fb' class='xr-var-data-in' type='checkbox'><label for='data-5feb5ff1-b7ba-48bf-959c-fc440c8773fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface thermal radiation downward clear-sky</dd><dt><span>short_name :</span></dt><dd>strdc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_thermal_radiation_downwards</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85617892-23f3-416a-9263-347ffeded4f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85617892-23f3-416a-9263-347ffeded4f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e092fd6-22d1-47c0-964b-c849c0911eff' class='xr-var-data-in' type='checkbox'><label for='data-0e092fd6-22d1-47c0-964b-c849c0911eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface thermal radiation downwards</dd><dt><span>short_name :</span></dt><dd>strd</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce528f16-a7af-40b7-b14f-08ff8fbf442b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce528f16-a7af-40b7-b14f-08ff8fbf442b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac6bb00-842e-4d5a-b8e0-3307fe55ef65' class='xr-var-data-in' type='checkbox'><label for='data-8ac6bb00-842e-4d5a-b8e0-3307fe55ef65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>short_name :</span></dt><dd>t</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_of_snow_layer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea72dd68-890f-45d3-ae03-a5457966489b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea72dd68-890f-45d3-ae03-a5457966489b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bf6feae-ad5b-4c78-a990-e8c8ee254b56' class='xr-var-data-in' type='checkbox'><label for='data-6bf6feae-ad5b-4c78-a990-e8c8ee254b56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Temperature of snow layer</dd><dt><span>short_name :</span></dt><dd>tsn</dd><dt><span>standard_name :</span></dt><dd>temperature_in_surface_snow</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>toa_incident_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86f0d4f8-5fbb-4edd-949b-c99b3cff893d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86f0d4f8-5fbb-4edd-949b-c99b3cff893d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e34aa2b2-1af6-4ff6-81fc-3b01d67cddbb' class='xr-var-data-in' type='checkbox'><label for='data-e34aa2b2-1af6-4ff6-81fc-3b01d67cddbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TOA incident solar radiation</dd><dt><span>short_name :</span></dt><dd>tisr</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_solar_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e581e95-a361-47f6-8e8f-3dfa956c1695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e581e95-a361-47f6-8e8f-3dfa956c1695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44979b62-e611-4166-9963-c2267dca17f7' class='xr-var-data-in' type='checkbox'><label for='data-44979b62-e611-4166-9963-c2267dca17f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top net solar radiation</dd><dt><span>short_name :</span></dt><dd>tsr</dd><dt><span>standard_name :</span></dt><dd>toa_net_upward_shortwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_solar_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fa748ac-869e-4a65-9908-196af6f08f08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fa748ac-869e-4a65-9908-196af6f08f08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ba0de29-bd08-42fe-9c34-372bb4b0de49' class='xr-var-data-in' type='checkbox'><label for='data-5ba0de29-bd08-42fe-9c34-372bb4b0de49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top net solar radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>tsrc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_thermal_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b5023fe-5810-483b-9de8-235c4bc81f53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b5023fe-5810-483b-9de8-235c4bc81f53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3d4257d-368c-4344-9bc6-88bb681ff140' class='xr-var-data-in' type='checkbox'><label for='data-b3d4257d-368c-4344-9bc6-88bb681ff140' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top net thermal radiation</dd><dt><span>short_name :</span></dt><dd>ttr</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_longwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_net_thermal_radiation_clear_sky</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a59f2c57-cf9e-4477-86e9-2a7c1be073a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a59f2c57-cf9e-4477-86e9-2a7c1be073a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46f0f737-c766-4304-92ad-a09ddd592783' class='xr-var-data-in' type='checkbox'><label for='data-46f0f737-c766-4304-92ad-a09ddd592783' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Top net thermal radiation, clear sky</dd><dt><span>short_name :</span></dt><dd>ttrc</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_cloud_cover</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a31d02cf-c39f-4922-bb3f-ad78bee3867d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a31d02cf-c39f-4922-bb3f-ad78bee3867d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31ea160a-1431-4bc7-a396-344ab98a6767' class='xr-var-data-in' type='checkbox'><label for='data-31ea160a-1431-4bc7-a396-344ab98a6767' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total cloud cover</dd><dt><span>short_name :</span></dt><dd>tcc</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_cloud_ice_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c937b15-577c-4c02-b2dc-84371c7e8aae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c937b15-577c-4c02-b2dc-84371c7e8aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8659e094-460b-4184-824e-63a6a3693896' class='xr-var-data-in' type='checkbox'><label for='data-8659e094-460b-4184-824e-63a6a3693896' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column cloud ice water</dd><dt><span>short_name :</span></dt><dd>tciw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_cloud_liquid_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8692f6b7-20b4-4e52-ad21-594af4a9d3bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8692f6b7-20b4-4e52-ad21-594af4a9d3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f79bb7db-a36f-4291-bee5-f3c5c482dd89' class='xr-var-data-in' type='checkbox'><label for='data-f79bb7db-a36f-4291-bee5-f3c5c482dd89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column cloud liquid water</dd><dt><span>short_name :</span></dt><dd>tclw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_ozone</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14fe03c3-5abc-4815-b3ea-09e416354489' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14fe03c3-5abc-4815-b3ea-09e416354489' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7ee5013-8d3a-4b98-8376-fe201e009308' class='xr-var-data-in' type='checkbox'><label for='data-f7ee5013-8d3a-4b98-8376-fe201e009308' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column ozone</dd><dt><span>short_name :</span></dt><dd>tco3</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_ozone</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_rain_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5bbba64-3c14-42ba-b468-01dae3fafda6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5bbba64-3c14-42ba-b468-01dae3fafda6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f302f0c1-db9f-420c-9296-01d06ba59144' class='xr-var-data-in' type='checkbox'><label for='data-f302f0c1-db9f-420c-9296-01d06ba59144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column rain water</dd><dt><span>short_name :</span></dt><dd>tcrw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_snow_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da2f745a-5ca8-44d7-bb8f-d4c6b352bac8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da2f745a-5ca8-44d7-bb8f-d4c6b352bac8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fad7f4f5-976a-4d94-8fec-da6a9c1414a4' class='xr-var-data-in' type='checkbox'><label for='data-fad7f4f5-976a-4d94-8fec-da6a9c1414a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column snow water</dd><dt><span>short_name :</span></dt><dd>tcsw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_supercooled_liquid_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0115e0c-af99-41c1-81a3-4a975be1e45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0115e0c-af99-41c1-81a3-4a975be1e45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0882e58c-7508-4a05-b413-f841c5e62cee' class='xr-var-data-in' type='checkbox'><label for='data-0882e58c-7508-4a05-b413-f841c5e62cee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column supercooled liquid water</dd><dt><span>short_name :</span></dt><dd>tcslw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_water</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1d205d0-f5bb-4b69-99fd-666bab4f6726' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1d205d0-f5bb-4b69-99fd-666bab4f6726' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30765652-2427-4adb-8c8a-02fb26da1be0' class='xr-var-data-in' type='checkbox'><label for='data-30765652-2427-4adb-8c8a-02fb26da1be0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column water</dd><dt><span>short_name :</span></dt><dd>tcw</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_column_water_vapour</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8729e96-e239-4e80-9a75-c19651f24349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8729e96-e239-4e80-9a75-c19651f24349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dab2785-2e81-4f61-830f-838d0f56698c' class='xr-var-data-in' type='checkbox'><label for='data-2dab2785-2e81-4f61-830f-838d0f56698c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>short_name :</span></dt><dd>tcwv</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_precipitation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89c767fb-525f-4a5a-a59c-7f5fbf5d95b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89c767fb-525f-4a5a-a59c-7f5fbf5d95b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f299ef-18f2-4ba8-bcb2-a646387a5d58' class='xr-var-data-in' type='checkbox'><label for='data-74f299ef-18f2-4ba8-bcb2-a646387a5d58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>short_name :</span></dt><dd>tp</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_sky_direct_solar_radiation_at_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6030b26-64bc-46eb-b479-5cc94e7de0d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6030b26-64bc-46eb-b479-5cc94e7de0d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f06e35d4-b8ac-479f-8502-dc2384316fa2' class='xr-var-data-in' type='checkbox'><label for='data-f06e35d4-b8ac-479f-8502-dc2384316fa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total sky direct solar radiation at surface</dd><dt><span>short_name :</span></dt><dd>fdir</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_totals_index</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e8d3c50-fdc3-4dcb-9eb9-33860e32319d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e8d3c50-fdc3-4dcb-9eb9-33860e32319d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ca07486-ab3d-4023-9c8e-1adb7497def6' class='xr-var-data-in' type='checkbox'><label for='data-9ca07486-ab3d-4023-9c8e-1adb7497def6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total totals index</dd><dt><span>short_name :</span></dt><dd>totalx</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trapping_layer_base_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7adbf404-f24b-4fe3-871f-88292fd27334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7adbf404-f24b-4fe3-871f-88292fd27334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-154df051-bff1-47c8-a96f-56c97fd6c5de' class='xr-var-data-in' type='checkbox'><label for='data-154df051-bff1-47c8-a96f-56c97fd6c5de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Trapping layer base height</dd><dt><span>short_name :</span></dt><dd>tplb</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trapping_layer_top_height</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2497d53-0542-48e2-9c8e-bb84f95a0534' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2497d53-0542-48e2-9c8e-bb84f95a0534' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9555169-5c56-48e1-8a72-a40c7d922439' class='xr-var-data-in' type='checkbox'><label for='data-e9555169-5c56-48e1-8a72-a40c7d922439' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Trapping layer top height</dd><dt><span>short_name :</span></dt><dd>tplt</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type_of_high_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc48edbc-b6ab-4167-aae5-f8f09e95522c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc48edbc-b6ab-4167-aae5-f8f09e95522c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2929755-cb9c-4041-b2eb-b7290346b4e3' class='xr-var-data-in' type='checkbox'><label for='data-f2929755-cb9c-4041-b2eb-b7290346b4e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of high vegetation</dd><dt><span>short_name :</span></dt><dd>tvh</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type_of_low_vegetation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30e85a5f-fbaf-4abc-bdb4-ea94bc15a5b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30e85a5f-fbaf-4abc-bdb4-ea94bc15a5b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6368460-9cf6-481e-ab50-0ebda46894c3' class='xr-var-data-in' type='checkbox'><label for='data-c6368460-9cf6-481e-ab50-0ebda46894c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of low vegetation</dd><dt><span>short_name :</span></dt><dd>tvl</dd><dt><span>units :</span></dt><dd>~</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_component_of_wind</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b7cf7eb-69bf-46da-baa9-3cad17b63bd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b7cf7eb-69bf-46da-baa9-3cad17b63bd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46a8c5bf-76bb-4d2c-9ea6-23c454fa1ae0' class='xr-var-data-in' type='checkbox'><label for='data-46a8c5bf-76bb-4d2c-9ea6-23c454fa1ae0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U component of wind</dd><dt><span>short_name :</span></dt><dd>u</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_component_stokes_drift</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a8e54e1-5bbc-45d8-a8f2-464a15ba9e3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a8e54e1-5bbc-45d8-a8f2-464a15ba9e3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed7c7a1-7ab7-4a36-ad1b-4700605b7bb1' class='xr-var-data-in' type='checkbox'><label for='data-3ed7c7a1-7ab7-4a36-ad1b-4700605b7bb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U-component stokes drift</dd><dt><span>short_name :</span></dt><dd>ust</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uv_visible_albedo_for_diffuse_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76f9cf09-3dab-46e1-be7e-875b64d36b12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76f9cf09-3dab-46e1-be7e-875b64d36b12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e80189-2451-452b-ae89-dbefe357c843' class='xr-var-data-in' type='checkbox'><label for='data-65e80189-2451-452b-ae89-dbefe357c843' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>UV visible albedo for diffuse radiation</dd><dt><span>short_name :</span></dt><dd>aluvd</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uv_visible_albedo_for_direct_radiation</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af41013f-ca59-4405-b348-f04ecf723bb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af41013f-ca59-4405-b348-f04ecf723bb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0611746d-51a7-49ec-9bc0-5b8f8d96d8a7' class='xr-var-data-in' type='checkbox'><label for='data-0611746d-51a7-49ec-9bc0-5b8f8d96d8a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>UV visible albedo for direct radiation</dd><dt><span>short_name :</span></dt><dd>aluvp</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_component_of_wind</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a712429b-7f33-418a-a24f-c37c95bc26fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a712429b-7f33-418a-a24f-c37c95bc26fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7be95d6c-0470-4129-8ce2-95050e1bfba1' class='xr-var-data-in' type='checkbox'><label for='data-7be95d6c-0470-4129-8ce2-95050e1bfba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V component of wind</dd><dt><span>short_name :</span></dt><dd>v</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_component_stokes_drift</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6c416f8-40f8-4983-8112-19e76038045e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6c416f8-40f8-4983-8112-19e76038045e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-579a051f-eb94-48ed-b560-36e6d9d7e0eb' class='xr-var-data-in' type='checkbox'><label for='data-579a051f-eb94-48ed-b560-36e6d9d7e0eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V-component stokes drift</dd><dt><span>short_name :</span></dt><dd>vst</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20dd0a7a-cff5-4846-a672-9bb376be24b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20dd0a7a-cff5-4846-a672-9bb376be24b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247e97a5-12d4-4c5b-b4bc-516006486243' class='xr-var-data-in' type='checkbox'><label for='data-247e97a5-12d4-4c5b-b4bc-516006486243' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of cloud frozen water flux</dd><dt><span>short_name :</span></dt><dd>p80.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d7ce77a-b2e5-4cab-9a61-586bd43b4683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d7ce77a-b2e5-4cab-9a61-586bd43b4683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-715e198b-0c9f-4a80-a956-d1c8bd406ce9' class='xr-var-data-in' type='checkbox'><label for='data-715e198b-0c9f-4a80-a956-d1c8bd406ce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p79.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f58b7529-043f-4389-a04f-7a211fc135e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f58b7529-043f-4389-a04f-7a211fc135e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ea0b9de-65b9-4726-bde1-c868d767566e' class='xr-var-data-in' type='checkbox'><label for='data-0ea0b9de-65b9-4726-bde1-c868d767566e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of geopotential flux</dd><dt><span>short_name :</span></dt><dd>p85.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ab31756-d8e7-4a8f-9afb-c54a18a9d1dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ab31756-d8e7-4a8f-9afb-c54a18a9d1dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e250143-bc2b-44c5-be43-fe955cf7fb94' class='xr-var-data-in' type='checkbox'><label for='data-2e250143-bc2b-44c5-be43-fe955cf7fb94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p82.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eec30224-20b7-473e-b295-6934dc3591e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec30224-20b7-473e-b295-6934dc3591e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d495ea-1908-4f6e-afff-f2210e1666c9' class='xr-var-data-in' type='checkbox'><label for='data-90d495ea-1908-4f6e-afff-f2210e1666c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of mass flux</dd><dt><span>short_name :</span></dt><dd>p81.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_moisture_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ddb8fbb-ed20-419d-ab56-7d99abde7c1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ddb8fbb-ed20-419d-ab56-7d99abde7c1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6dfd5ae-1f59-4204-99c0-50ae9d132045' class='xr-var-data-in' type='checkbox'><label for='data-f6dfd5ae-1f59-4204-99c0-50ae9d132045' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of moisture flux</dd><dt><span>short_name :</span></dt><dd>p84.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83a1dd9c-e5cd-47c4-bf92-38c33f282759' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83a1dd9c-e5cd-47c4-bf92-38c33f282759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb690f1b-a4d0-4cb6-9d43-22ed5da67214' class='xr-var-data-in' type='checkbox'><label for='data-fb690f1b-a4d0-4cb6-9d43-22ed5da67214' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of ozone flux</dd><dt><span>short_name :</span></dt><dd>p87.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_thermal_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1a56529-9938-49fa-8984-b25a7e4e0eea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1a56529-9938-49fa-8984-b25a7e4e0eea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8c3d063-f55b-4a9d-bbf0-2cf3a23a77e7' class='xr-var-data-in' type='checkbox'><label for='data-e8c3d063-f55b-4a9d-bbf0-2cf3a23a77e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of thermal energy flux</dd><dt><span>short_name :</span></dt><dd>p83.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_divergence_of_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb49580d-9ec3-42ff-899d-79c90bc9832c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb49580d-9ec3-42ff-899d-79c90bc9832c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6be4a351-fa51-431e-93b6-15e97be22a57' class='xr-var-data-in' type='checkbox'><label for='data-6be4a351-fa51-431e-93b6-15e97be22a57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of divergence of total energy flux</dd><dt><span>short_name :</span></dt><dd>p86.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2be0aefb-5906-4373-a85e-d98c7eeb974b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2be0aefb-5906-4373-a85e-d98c7eeb974b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71f733b3-155d-4143-8b43-b919802e14e8' class='xr-var-data-in' type='checkbox'><label for='data-71f733b3-155d-4143-8b43-b919802e14e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward cloud frozen water flux</dd><dt><span>short_name :</span></dt><dd>p90.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6bd0e437-b31f-47fe-be12-3d9ce841179c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bd0e437-b31f-47fe-be12-3d9ce841179c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3ffc57a-6689-4754-8ac1-2612cf8fa44f' class='xr-var-data-in' type='checkbox'><label for='data-b3ffc57a-6689-4754-8ac1-2612cf8fa44f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p88.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0417e428-308b-4bd1-b12d-c925c0c4c98a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0417e428-308b-4bd1-b12d-c925c0c4c98a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9849851f-d330-4dd9-b14c-86df0e84f873' class='xr-var-data-in' type='checkbox'><label for='data-9849851f-d330-4dd9-b14c-86df0e84f873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward geopotential flux</dd><dt><span>short_name :</span></dt><dd>p73.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-756e99cc-f5f9-4b33-a871-54febeefdaf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-756e99cc-f5f9-4b33-a871-54febeefdaf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67652173-c822-428f-814d-37d6c51ccaec' class='xr-var-data-in' type='checkbox'><label for='data-67652173-c822-428f-814d-37d6c51ccaec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward heat flux</dd><dt><span>short_name :</span></dt><dd>p69.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-becab72f-0ef6-46f6-bd18-e15eef4092a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-becab72f-0ef6-46f6-bd18-e15eef4092a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9aa8120-3b79-4026-82c8-62697f99ec6f' class='xr-var-data-in' type='checkbox'><label for='data-f9aa8120-3b79-4026-82c8-62697f99ec6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p67.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a06a46d-94d2-4b41-b530-baef947e59ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a06a46d-94d2-4b41-b530-baef947e59ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41fe2728-48ee-4b04-850d-7e7bfa1f5dda' class='xr-var-data-in' type='checkbox'><label for='data-41fe2728-48ee-4b04-850d-7e7bfa1f5dda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward mass flux</dd><dt><span>short_name :</span></dt><dd>p65.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-515ed3aa-9a38-4ca4-bdfd-4bc5731747ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-515ed3aa-9a38-4ca4-bdfd-4bc5731747ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebd31199-1f9e-4484-9b42-946da2fd2eb7' class='xr-var-data-in' type='checkbox'><label for='data-ebd31199-1f9e-4484-9b42-946da2fd2eb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward ozone flux</dd><dt><span>short_name :</span></dt><dd>p77.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0bda0dc-c0d5-4bef-9e3f-37d0c3d09aae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0bda0dc-c0d5-4bef-9e3f-37d0c3d09aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04e4175e-b42d-4365-ad49-ff178a39306d' class='xr-var-data-in' type='checkbox'><label for='data-04e4175e-b42d-4365-ad49-ff178a39306d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward total energy flux</dd><dt><span>short_name :</span></dt><dd>p75.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_eastward_water_vapour_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c055ef4-0860-4236-ac98-b3390322bb4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c055ef4-0860-4236-ac98-b3390322bb4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcc11610-8fc6-45bd-8d9d-e1e14af687d8' class='xr-var-data-in' type='checkbox'><label for='data-dcc11610-8fc6-45bd-8d9d-e1e14af687d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of eastward water vapour flux</dd><dt><span>short_name :</span></dt><dd>p71.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_energy_conversion</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03f4710d-bc0d-4bcf-a1dc-cd43aa5a2e1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03f4710d-bc0d-4bcf-a1dc-cd43aa5a2e1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb43428c-cb3e-4246-b264-c77623f419d1' class='xr-var-data-in' type='checkbox'><label for='data-fb43428c-cb3e-4246-b264-c77623f419d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of energy conversion</dd><dt><span>short_name :</span></dt><dd>p64.162</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_kinetic_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96239314-3bf5-4f0f-945d-d716b2244344' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96239314-3bf5-4f0f-945d-d716b2244344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6eefa94-35e0-4855-85d6-ef09a70affb4' class='xr-var-data-in' type='checkbox'><label for='data-a6eefa94-35e0-4855-85d6-ef09a70affb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of kinetic energy</dd><dt><span>short_name :</span></dt><dd>p59.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_mass_of_atmosphere</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7cc24dd-a9db-4fa1-ac5c-91185fc325ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7cc24dd-a9db-4fa1-ac5c-91185fc325ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d73e32c2-7c59-41f6-9809-5abf5b9bb9c4' class='xr-var-data-in' type='checkbox'><label for='data-d73e32c2-7c59-41f6-9809-5abf5b9bb9c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of mass of atmosphere</dd><dt><span>short_name :</span></dt><dd>p53.162</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_mass_tendency</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b57b5390-0952-4f73-bd92-187df48fd089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b57b5390-0952-4f73-bd92-187df48fd089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e3263f8-9112-493e-90fc-be339e4156e9' class='xr-var-data-in' type='checkbox'><label for='data-4e3263f8-9112-493e-90fc-be339e4156e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of mass tendency</dd><dt><span>short_name :</span></dt><dd>p92.162</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_cloud_frozen_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b280b599-235a-47ab-a986-08dccd097940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b280b599-235a-47ab-a986-08dccd097940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84fa8abe-1afa-4b7f-bbd7-da0376c3b5df' class='xr-var-data-in' type='checkbox'><label for='data-84fa8abe-1afa-4b7f-bbd7-da0376c3b5df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward cloud frozen water flux </dd><dt><span>short_name :</span></dt><dd>p91.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_cloud_liquid_water_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a33d918b-9862-4779-bbe4-82122881848b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a33d918b-9862-4779-bbe4-82122881848b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40629b64-4c97-4ed2-8aa6-7d0cb99de968' class='xr-var-data-in' type='checkbox'><label for='data-40629b64-4c97-4ed2-8aa6-7d0cb99de968' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward cloud liquid water flux</dd><dt><span>short_name :</span></dt><dd>p89.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_geopotential_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd7cb24c-6f93-41be-9f75-c879015042ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd7cb24c-6f93-41be-9f75-c879015042ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-115cbe2a-5d1f-4cc6-a785-a00e20e20ff0' class='xr-var-data-in' type='checkbox'><label for='data-115cbe2a-5d1f-4cc6-a785-a00e20e20ff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward geopotential flux</dd><dt><span>short_name :</span></dt><dd>p74.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_heat_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92cc5c18-4342-48a3-b579-fee5c00a3098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92cc5c18-4342-48a3-b579-fee5c00a3098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20e03566-d76a-41b9-befb-4e59c84a2866' class='xr-var-data-in' type='checkbox'><label for='data-20e03566-d76a-41b9-befb-4e59c84a2866' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward heat flux</dd><dt><span>short_name :</span></dt><dd>p70.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_kinetic_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e8e4ef0-943f-46f2-8775-91dbd1bd3283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e8e4ef0-943f-46f2-8775-91dbd1bd3283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5baf4b27-fd00-40fc-9f73-d43378de57b0' class='xr-var-data-in' type='checkbox'><label for='data-5baf4b27-fd00-40fc-9f73-d43378de57b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward kinetic energy flux</dd><dt><span>short_name :</span></dt><dd>p68.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_mass_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7215e0a3-7034-4055-b76d-0e7c4c3a683c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7215e0a3-7034-4055-b76d-0e7c4c3a683c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16419d14-33ab-48e8-b869-56e69262039a' class='xr-var-data-in' type='checkbox'><label for='data-16419d14-33ab-48e8-b869-56e69262039a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward mass flux</dd><dt><span>short_name :</span></dt><dd>p66.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_ozone_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb1c4754-48b2-40f1-a1e9-adc51711f886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb1c4754-48b2-40f1-a1e9-adc51711f886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee421c7-4b9f-419a-b693-8b90f1070e09' class='xr-var-data-in' type='checkbox'><label for='data-6ee421c7-4b9f-419a-b693-8b90f1070e09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward ozone flux</dd><dt><span>short_name :</span></dt><dd>p78.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_total_energy_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea22a280-df00-4bc7-8e9f-620590a9020b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea22a280-df00-4bc7-8e9f-620590a9020b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37e447ef-1221-4058-a876-4cea0695c03e' class='xr-var-data-in' type='checkbox'><label for='data-37e447ef-1221-4058-a876-4cea0695c03e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward total energy flux</dd><dt><span>short_name :</span></dt><dd>p76.162</dd><dt><span>units :</span></dt><dd>W m**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_northward_water_vapour_flux</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c84f7d95-28ab-4a0d-9d1f-563d6a9765f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c84f7d95-28ab-4a0d-9d1f-563d6a9765f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aca44113-e981-4702-85ab-f14625e41ce9' class='xr-var-data-in' type='checkbox'><label for='data-aca44113-e981-4702-85ab-f14625e41ce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward water vapour flux</dd><dt><span>short_name :</span></dt><dd>p72.162</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_potential_and_internal_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2de2ed44-d1a7-450b-a606-c937495024d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2de2ed44-d1a7-450b-a606-c937495024d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cde2b4d-7518-4887-b6f8-053bb73a2957' class='xr-var-data-in' type='checkbox'><label for='data-1cde2b4d-7518-4887-b6f8-053bb73a2957' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of potential+internal energy</dd><dt><span>short_name :</span></dt><dd>p61.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_potential_internal_and_latent_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c31cfc0-f0fd-4fdd-b824-f09a98a75a2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c31cfc0-f0fd-4fdd-b824-f09a98a75a2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ad3082c-cc22-413a-9326-2d88092c1da2' class='xr-var-data-in' type='checkbox'><label for='data-0ad3082c-cc22-413a-9326-2d88092c1da2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of potential+internal+latent energy</dd><dt><span>short_name :</span></dt><dd>p62.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f44258e2-88f7-4161-90bf-9ca9ddcd39f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f44258e2-88f7-4161-90bf-9ca9ddcd39f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd56e908-acd2-4baa-a378-88b534648a42' class='xr-var-data-in' type='checkbox'><label for='data-dd56e908-acd2-4baa-a378-88b534648a42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of temperature</dd><dt><span>short_name :</span></dt><dd>p54.162</dd><dt><span>units :</span></dt><dd>K kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_thermal_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f4dac59-e016-40b9-be1d-37bc6f041fb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f4dac59-e016-40b9-be1d-37bc6f041fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de25c81c-34ce-405e-a50f-9d999dbb154c' class='xr-var-data-in' type='checkbox'><label for='data-de25c81c-34ce-405e-a50f-9d999dbb154c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of thermal energy</dd><dt><span>short_name :</span></dt><dd>p60.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_integral_of_total_energy</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f720627d-f5bd-4173-bcc8-d0fa48af344f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f720627d-f5bd-4173-bcc8-d0fa48af344f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9f3ae78-1320-46ed-8726-5066027cb4ed' class='xr-var-data-in' type='checkbox'><label for='data-c9f3ae78-1320-46ed-8726-5066027cb4ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of total energy</dd><dt><span>short_name :</span></dt><dd>p63.162</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_velocity</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46abc94f-7235-4f51-9110-2e4ed1c06b0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46abc94f-7235-4f51-9110-2e4ed1c06b0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e608f275-4339-4b87-8d71-777ec8fe0920' class='xr-var-data-in' type='checkbox'><label for='data-e608f275-4339-4b87-8d71-777ec8fe0920' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical velocity</dd><dt><span>short_name :</span></dt><dd>w</dd><dt><span>standard_name :</span></dt><dd>lagrangian_tendency_of_air_pressure</dd><dt><span>units :</span></dt><dd>Pa s**-1</dd></dl></div><div class='xr-var-data'><pre>[28734637559040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertically_integrated_moisture_divergence</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-205ee056-e55c-4a06-b3ed-b078e431dd7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-205ee056-e55c-4a06-b3ed-b078e431dd7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-122fe6a7-2e31-436f-8947-705d6d6adfe3' class='xr-var-data-in' type='checkbox'><label for='data-122fe6a7-2e31-436f-8947-705d6d6adfe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertically integrated moisture divergence</dd><dt><span>short_name :</span></dt><dd>vimd</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_1</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6973827-905b-427a-b139-f05ea5f39897' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6973827-905b-427a-b139-f05ea5f39897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78f23092-5c2c-4316-a0fd-1abb02059620' class='xr-var-data-in' type='checkbox'><label for='data-78f23092-5c2c-4316-a0fd-1abb02059620' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 1</dd><dt><span>short_name :</span></dt><dd>swvl1</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20785f3c-b204-4928-a7d1-adedb0d15ea9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20785f3c-b204-4928-a7d1-adedb0d15ea9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d25ef50-e9c1-4b0e-8746-6ea321cfd785' class='xr-var-data-in' type='checkbox'><label for='data-8d25ef50-e9c1-4b0e-8746-6ea321cfd785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 2</dd><dt><span>short_name :</span></dt><dd>swvl2</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_3</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0280eb22-d54c-44b7-8bb8-412efd298124' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0280eb22-d54c-44b7-8bb8-412efd298124' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1463b8-b374-4daf-b241-e99b00111f7a' class='xr-var-data-in' type='checkbox'><label for='data-ee1463b8-b374-4daf-b241-e99b00111f7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 3</dd><dt><span>short_name :</span></dt><dd>swvl3</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_soil_water_layer_4</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc608697-138f-4586-8505-3811673d65d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc608697-138f-4586-8505-3811673d65d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e13b4a79-1d28-448f-831f-f23335f499c5' class='xr-var-data-in' type='checkbox'><label for='data-e13b4a79-1d28-448f-831f-f23335f499c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>short_name :</span></dt><dd>swvl4</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf15b242-ebe8-45fa-8969-2e681291a0e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf15b242-ebe8-45fa-8969-2e681291a0e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d99c5787-b382-4d16-a3fc-0a5cbcc97d3e' class='xr-var-data-in' type='checkbox'><label for='data-d99c5787-b382-4d16-a3fc-0a5cbcc97d3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave spectral directional width</dd><dt><span>short_name :</span></dt><dd>wdw</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width_for_swell</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2739af9f-9299-4964-b10d-da0e95fdc59a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2739af9f-9299-4964-b10d-da0e95fdc59a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cbad7d8-3f39-4804-87fa-669ee46b43cc' class='xr-var-data-in' type='checkbox'><label for='data-8cbad7d8-3f39-4804-87fa-669ee46b43cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave spectral directional width for swell</dd><dt><span>short_name :</span></dt><dd>dwps</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_directional_width_for_wind_waves</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05fd8fa3-ff41-408e-b870-37f2c6171883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05fd8fa3-ff41-408e-b870-37f2c6171883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97341df3-276c-4a3f-b013-4ed748887cf6' class='xr-var-data-in' type='checkbox'><label for='data-97341df3-276c-4a3f-b013-4ed748887cf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave spectral directional width for wind waves</dd><dt><span>short_name :</span></dt><dd>dwww</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_kurtosis</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13e4c0b1-9b14-43ab-a72f-e0b24b363b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13e4c0b1-9b14-43ab-a72f-e0b24b363b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51a12775-704a-412a-9e6f-22c2cd97a07b' class='xr-var-data-in' type='checkbox'><label for='data-51a12775-704a-412a-9e6f-22c2cd97a07b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave spectral kurtosis</dd><dt><span>short_name :</span></dt><dd>wsk</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_peakedness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcd72f8b-0f58-410a-b39f-9aa777b89f58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd72f8b-0f58-410a-b39f-9aa777b89f58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1e8fc88-b8be-4115-8b00-4f4d1cb68f06' class='xr-var-data-in' type='checkbox'><label for='data-e1e8fc88-b8be-4115-8b00-4f4d1cb68f06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave spectral peakedness</dd><dt><span>short_name :</span></dt><dd>wsp</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wave_spectral_skewness</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20883e42-18d9-48c5-97df-1f9754d2ed10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20883e42-18d9-48c5-97df-1f9754d2ed10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc633ce4-a3d0-436b-b584-9ec727465fde' class='xr-var-data-in' type='checkbox'><label for='data-dc633ce4-a3d0-436b-b584-9ec727465fde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wave Spectral Skewness</dd><dt><span>short_name :</span></dt><dd>wss</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zero_degree_level</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bd4b13d-93f9-4572-96ad-2fedcf61c9b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bd4b13d-93f9-4572-96ad-2fedcf61c9b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af0b9d38-fe5c-49a7-a7dc-42e8de675418' class='xr-var-data-in' type='checkbox'><label for='data-af0b9d38-fe5c-49a7-a7dc-42e8de675418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>0 degrees C isothermal level (atm)</dd><dt><span>short_name :</span></dt><dd>deg0l</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[776611825920 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f39f7025-1547-498a-b24e-3462c2dbfee4' class='xr-section-summary-in' type='checkbox'  ><label for='section-f39f7025-1547-498a-b24e-3462c2dbfee4' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-aa00fdf3-1240-46af-a71d-5d3e6e60718e' class='xr-index-data-in' type='checkbox'/><label for='index-aa00fdf3-1240-46af-a71d-5d3e6e60718e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  90.0,  89.75,   89.5,  89.25,   89.0,  88.75,   88.5,  88.25,   88.0,\n",
+       "        87.75,\n",
+       "       ...\n",
+       "       -87.75,  -88.0, -88.25,  -88.5, -88.75,  -89.0, -89.25,  -89.5, -89.75,\n",
+       "        -90.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=721))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>level</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5e54669e-8a86-449d-ab65-ee91abf479d8' class='xr-index-data-in' type='checkbox'/><label for='index-5e54669e-8a86-449d-ab65-ee91abf479d8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   1,    2,    3,    5,    7,   10,   20,   30,   50,   70,  100,  125,\n",
+       "        150,  175,  200,  225,  250,  300,  350,  400,  450,  500,  550,  600,\n",
+       "        650,  700,  750,  775,  800,  825,  850,  875,  900,  925,  950,  975,\n",
+       "       1000],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;level&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b9aa0034-95ab-4c62-980b-412f24deb116' class='xr-index-data-in' type='checkbox'/><label for='index-b9aa0034-95ab-4c62-980b-412f24deb116' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,   0.25,    0.5,   0.75,    1.0,   1.25,    1.5,   1.75,    2.0,\n",
+       "         2.25,\n",
+       "       ...\n",
+       "        357.5, 357.75,  358.0, 358.25,  358.5, 358.75,  359.0, 359.25,  359.5,\n",
+       "       359.75],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6b53e9be-eb20-426d-b49f-21a760623a1a' class='xr-index-data-in' type='checkbox'/><label for='index-6b53e9be-eb20-426d-b49f-21a760623a1a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1940-01-01 00:00:00&#x27;, &#x27;1940-01-01 01:00:00&#x27;,\n",
+       "               &#x27;1940-01-01 02:00:00&#x27;, &#x27;1940-01-01 03:00:00&#x27;,\n",
+       "               &#x27;1940-01-01 04:00:00&#x27;, &#x27;1940-01-01 05:00:00&#x27;,\n",
+       "               &#x27;1940-01-01 06:00:00&#x27;, &#x27;1940-01-01 07:00:00&#x27;,\n",
+       "               &#x27;1940-01-01 08:00:00&#x27;, &#x27;1940-01-01 09:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2025-04-30 14:00:00&#x27;, &#x27;2025-04-30 15:00:00&#x27;,\n",
+       "               &#x27;2025-04-30 16:00:00&#x27;, &#x27;2025-04-30 17:00:00&#x27;,\n",
+       "               &#x27;2025-04-30 18:00:00&#x27;, &#x27;2025-04-30 19:00:00&#x27;,\n",
+       "               &#x27;2025-04-30 20:00:00&#x27;, &#x27;2025-04-30 21:00:00&#x27;,\n",
+       "               &#x27;2025-04-30 22:00:00&#x27;, &#x27;2025-04-30 23:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=748008, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d31d91d-8af4-4612-9eee-ba2f8353327a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d31d91d-8af4-4612-9eee-ba2f8353327a' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>last_updated :</span></dt><dd>2025-09-26 02:01:41.936564+00:00</dd><dt><span>valid_time_start :</span></dt><dd>1940-01-01</dd><dt><span>valid_time_stop :</span></dt><dd>2025-04-30</dd><dt><span>valid_time_stop_era5t :</span></dt><dd>2025-09-20</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2PB\n",
+       "Dimensions:                                                          (\n",
+       "                                                                      time: 748008,\n",
+       "                                                                      latitude: 721,\n",
+       "                                                                      longitude: 1440,\n",
+       "                                                                      level: 37)\n",
+       "Coordinates:\n",
+       "  * latitude                                                         (latitude) float32 3kB ...\n",
+       "  * level                                                            (level) int64 296B ...\n",
+       "  * longitude                                                        (longitude) float32 6kB ...\n",
+       "  * time                                                             (time) datetime64[ns] 6MB ...\n",
+       "Data variables: (12/273)\n",
+       "    100m_u_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    100m_v_component_of_wind                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_u_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_u_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_v_component_of_neutral_wind                                  (time, latitude, longitude) float32 3TB ...\n",
+       "    10m_v_component_of_wind                                          (time, latitude, longitude) float32 3TB ...\n",
+       "    ...                                                               ...\n",
+       "    wave_spectral_directional_width_for_swell                        (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_directional_width_for_wind_waves                   (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_kurtosis                                           (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_peakedness                                         (time, latitude, longitude) float32 3TB ...\n",
+       "    wave_spectral_skewness                                           (time, latitude, longitude) float32 3TB ...\n",
+       "    zero_degree_level                                                (time, latitude, longitude) float32 3TB ...\n",
+       "Attributes:\n",
+       "    last_updated:           2025-09-26 02:01:41.936564+00:00\n",
+       "    valid_time_start:       1940-01-01\n",
+       "    valid_time_stop:        2025-04-30\n",
+       "    valid_time_stop_era5t:  2025-09-20"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# import data from Zarr as an xarray Dataset within data time range\n",
+    "ds = xr.open_zarr(\n",
+    "    'gs://gcp-public-data-arco-era5/ar/full_37-1h-0p25deg-chunk-1.zarr-v3',\n",
+    "    chunks=None,\n",
+    "    storage_options=dict(token='anon'),\n",
+    ")\n",
+    "ds = ds.sel(time=slice(ds.attrs['valid_time_start'], ds.attrs['valid_time_stop']))\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "48b2225c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['convective_precipitation'\n",
+      " 'instantaneous_large_scale_surface_precipitation_fraction'\n",
+      " 'large_scale_precipitation' 'large_scale_precipitation_fraction'\n",
+      " 'maximum_total_precipitation_rate_since_previous_post_processing'\n",
+      " 'mean_convective_precipitation_rate'\n",
+      " 'mean_large_scale_precipitation_fraction'\n",
+      " 'mean_large_scale_precipitation_rate' 'mean_total_precipitation_rate'\n",
+      " 'minimum_total_precipitation_rate_since_previous_post_processing'\n",
+      " 'precipitation_type' 'total_precipitation']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# find relevant precipitation variable name: total_precipitation\n",
+    "print(np.array([s for s in list(ds.data_vars) if 'prec' in s]))\n",
+    "\n",
+    "# subset 10 yr time slice of only total_precipitation variable\n",
+    "prec = ds.total_precipitation.sel(time=slice('2010-01-01 00:00','2020-01-01 00:00'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "75f4b45c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Daily Precipitation near Palm Springs, CA from 2010 to 2020')"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# subset 5x5 lat-lon grid centered at Palm Springs, California from latlong.net\n",
+    "ps_lat, ps_lon = 33.830517, -116.545601 + 360\n",
+    "prec_pm = prec.sel(latitude=slice(ps_lat+2.5, ps_lat-2.5), \n",
+    "                   longitude=slice(ps_lon-2.5, ps_lon+2.5))\n",
+    "\n",
+    "# calculate daily total precipitation by resampling to daily frequency\n",
+    "prec_pm = prec_pm.resample(time='24h').sum().compute()\n",
+    "prec_pm.to_netcdf('prec_pm_daily.nc')\n",
+    "prec_pm_ts = prec_pm.mean(dim=('latitude','longitude')).compute()\n",
+    "\n",
+    "# basic plot of time series with labels and title\n",
+    "plt.plot(prec_pm_ts.time, prec_pm_ts.values)\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Daily Precipitation [m]')\n",
+    "plt.title('Daily Precipitation near Palm Springs, CA from 2010 to 2020')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "90aeaeac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# save time series to netcdf file\n",
+    "prec_pm_ts.to_netcdf('final_part1_timeseries.nc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c5947d4",
+   "metadata": {},
+   "source": [
+    "##### (2) Determine the 95% values of daily precipitation for the data created in (1). Plot a cumulative distribution function of all values daily precipitation values and illustrate the 95% value of daily precipitation in millimeters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "3a93c33e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "95% Percentile of Daily Precipitation near Palm Springs, CA: 2.97 mm\n"
+     ]
+    }
+   ],
+   "source": [
+    "# print statement of 95th percentil of daily precipitation in Palm Springs, CA\n",
+    "prec95 = prec_pm_ts.quantile(0.95).compute().values.tolist()*1000\n",
+    "print('95% Percentile of Daily Precipitation near Palm Springs, CA: ' \n",
+    "      + str(round(prec95, 2)) + ' mm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "1800ed89",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f80d98eefd0>"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 768x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "'''Use built-in CDF function from statsmodel library to plot time series CDF'''\n",
+    "\n",
+    "# import CDF function\n",
+    "from statsmodels.distributions.empirical_distribution import ECDF\n",
+    "\n",
+    "# CDF function of precipitation time series\n",
+    "cdf = ECDF(prec_pm_ts.values)\n",
+    "\n",
+    "# basic line plot of CDF with a dashed line for the 95th percentile\n",
+    "plt.plot(cdf.x*1000, cdf.y, label='CDF')\n",
+    "# 95th percentile\n",
+    "plt.plot([prec95, prec95], [0, 1], '--k', label='95th percentile')\n",
+    "plt.xlabel('Daily Precipitation [mm]')\n",
+    "plt.ylabel('Probability')\n",
+    "plt.title('CDF of Daily Precipitation in Palm Springs, CA from 2010-2020')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91e85b22",
+   "metadata": {},
+   "source": [
+    "##### (3) Create a map of the composite mean precipitation on the 95% days identified in (2) over the continental USA, and a map of the anomaly of precipitation from the *1990-2020* mean. This field should be plotted on a Cartopy map centered at your city with a 40 x 40 degree lat-lon range."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "a420bed8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2025-09-24 18:28:08--  https://www.atmos.illinois.edu/~snesbitt/data/ERA-5_total_precipitation_monthly-1981-2020.nc\n",
+      "Resolving www.atmos.illinois.edu (www.atmos.illinois.edu)... 128.174.76.242\n",
+      "Connecting to www.atmos.illinois.edu (www.atmos.illinois.edu)|128.174.76.242|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 509932928 (486M) [application/x-netcdf]\n",
+      "Saving to: ‘ERA-5_total_precipitation_monthly-1981-2020.nc’\n",
+      "\n",
+      "ERA-5_total_precipi 100%[===================>] 486.31M  73.1MB/s    in 6.6s    \n",
+      "\n",
+      "2025-09-24 18:28:15 (73.4 MB/s) - ‘ERA-5_total_precipitation_monthly-1981-2020.nc’ saved [509932928/509932928]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!wget https://www.atmos.illinois.edu/~snesbitt/data/ERA-5_total_precipitation_monthly-1981-2020.nc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "9b272902",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2GB\n",
+       "Dimensions:     (valid_time: 372, latitude: 721, longitude: 1440)\n",
+       "Coordinates:\n",
+       "    number      int64 8B ...\n",
+       "  * valid_time  (valid_time) datetime64[ns] 3kB 1990-01-01T06:00:00 ... 2020-...\n",
+       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
+       "  * longitude   (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n",
+       "    expver      (valid_time) &lt;U4 6kB ...\n",
+       "Data variables:\n",
+       "    tp          (valid_time, latitude, longitude) float32 2GB ...\n",
+       "Attributes:\n",
+       "    GRIB_centre:             ecmf\n",
+       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "    GRIB_subCentre:          0\n",
+       "    Conventions:             CF-1.7\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "    history:                 2025-09-22T22:03 GRIB to CDM+CF via cfgrib-0.9.1...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b003ac0a-9bae-4842-83a2-0b8c8c657be7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b003ac0a-9bae-4842-83a2-0b8c8c657be7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>valid_time</span>: 372</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-587ee1a5-f5f6-4a29-965c-3a7eda320643' class='xr-section-summary-in' type='checkbox'  checked><label for='section-587ee1a5-f5f6-4a29-965c-3a7eda320643' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2ced62b-d34c-4516-b40f-b80d5ea98675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2ced62b-d34c-4516-b40f-b80d5ea98675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bb3a0a8-51b5-446c-9278-b9b4e707c13c' class='xr-var-data-in' type='checkbox'><label for='data-0bb3a0a8-51b5-446c-9278-b9b4e707c13c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1990-01-01T06:00:00 ... 2020-12-...</div><input id='attrs-87b7aa3b-2ddf-4260-bea9-15303022b1fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b7aa3b-2ddf-4260-bea9-15303022b1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2d2f79d-3253-46d1-aff5-ddc9b6b7c00e' class='xr-var-data-in' type='checkbox'><label for='data-f2d2f79d-3253-46d1-aff5-ddc9b6b7c00e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1990-01-01T06:00:00.000000000&#x27;, &#x27;1990-02-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;1990-03-01T06:00:00.000000000&#x27;, ..., &#x27;2020-10-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2020-11-01T06:00:00.000000000&#x27;, &#x27;2020-12-01T06:00:00.000000000&#x27;],\n",
+       "      shape=(372,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-ddacea2d-3ff4-4fc0-b2d4-2391b56ff47f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddacea2d-3ff4-4fc0-b2d4-2391b56ff47f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-414f2763-8319-4d75-9810-dcbf59d33aad' class='xr-var-data-in' type='checkbox'><label for='data-414f2763-8319-4d75-9810-dcbf59d33aad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], shape=(721,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-5e914b8d-df2b-4e37-9833-76160f1a5796' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e914b8d-df2b-4e37-9833-76160f1a5796' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ae2c337-45f8-4a99-96a6-5ce67cb952a3' class='xr-var-data-in' type='checkbox'><label for='data-8ae2c337-45f8-4a99-96a6-5ce67cb952a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
+       "       3.5975e+02], shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb1b2162-9d39-4825-a949-4609da6fcfec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb1b2162-9d39-4825-a949-4609da6fcfec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26689a50-c46d-4ae0-85aa-d180cab5f5a3' class='xr-var-data-in' type='checkbox'><label for='data-26689a50-c46d-4ae0-85aa-d180cab5f5a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[372 values with dtype=&lt;U4]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-645d2e80-4a37-4606-aa61-b52db32b3526' class='xr-section-summary-in' type='checkbox'  checked><label for='section-645d2e80-4a37-4606-aa61-b52db32b3526' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bab441e-d5ba-4c0e-b9ac-a498b5acf227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bab441e-d5ba-4c0e-b9ac-a498b5acf227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a749d4c1-1f68-4581-8787-0fb79ce18bdc' class='xr-var-data-in' type='checkbox'><label for='data-a749d4c1-1f68-4581-8787-0fb79ce18bdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>228</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>avgad</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>GRIB_surface :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[386225280 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ab2a75c-5b45-4e44-81ec-49235e2e71fb' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ab2a75c-5b45-4e44-81ec-49235e2e71fb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>valid_time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-af4fb9f3-3d00-411d-a580-4d663132891a' class='xr-index-data-in' type='checkbox'/><label for='index-af4fb9f3-3d00-411d-a580-4d663132891a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1990-01-01 06:00:00&#x27;, &#x27;1990-02-01 06:00:00&#x27;,\n",
+       "               &#x27;1990-03-01 06:00:00&#x27;, &#x27;1990-04-01 06:00:00&#x27;,\n",
+       "               &#x27;1990-05-01 06:00:00&#x27;, &#x27;1990-06-01 06:00:00&#x27;,\n",
+       "               &#x27;1990-07-01 06:00:00&#x27;, &#x27;1990-08-01 06:00:00&#x27;,\n",
+       "               &#x27;1990-09-01 06:00:00&#x27;, &#x27;1990-10-01 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2020-03-01 06:00:00&#x27;, &#x27;2020-04-01 06:00:00&#x27;,\n",
+       "               &#x27;2020-05-01 06:00:00&#x27;, &#x27;2020-06-01 06:00:00&#x27;,\n",
+       "               &#x27;2020-07-01 06:00:00&#x27;, &#x27;2020-08-01 06:00:00&#x27;,\n",
+       "               &#x27;2020-09-01 06:00:00&#x27;, &#x27;2020-10-01 06:00:00&#x27;,\n",
+       "               &#x27;2020-11-01 06:00:00&#x27;, &#x27;2020-12-01 06:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;valid_time&#x27;, length=372, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7900c74b-9c95-4960-bf42-96f142957b59' class='xr-index-data-in' type='checkbox'/><label for='index-7900c74b-9c95-4960-bf42-96f142957b59' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  90.0,  89.75,   89.5,  89.25,   89.0,  88.75,   88.5,  88.25,   88.0,\n",
+       "        87.75,\n",
+       "       ...\n",
+       "       -87.75,  -88.0, -88.25,  -88.5, -88.75,  -89.0, -89.25,  -89.5, -89.75,\n",
+       "        -90.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=721))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9cc33c30-75aa-4ff3-af16-8a8f5eec237e' class='xr-index-data-in' type='checkbox'/><label for='index-9cc33c30-75aa-4ff3-af16-8a8f5eec237e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0.0,   0.25,    0.5,   0.75,    1.0,   1.25,    1.5,   1.75,    2.0,\n",
+       "         2.25,\n",
+       "       ...\n",
+       "        357.5, 357.75,  358.0, 358.25,  358.5, 358.75,  359.0, 359.25,  359.5,\n",
+       "       359.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fc9ccc3-ad11-4946-bcf7-05c495356510' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0fc9ccc3-ad11-4946-bcf7-05c495356510' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2025-09-22T22:03 GRIB to CDM+CF via cfgrib-0.9.15.0/ecCodes-2.42.0 with {&quot;source&quot;: &quot;tmp0y8slwye/data.grib&quot;, &quot;filter_by_keys&quot;: {&quot;stream&quot;: [&quot;moda&quot;], &quot;stepType&quot;: [&quot;avgad&quot;]}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 2GB\n",
+       "Dimensions:     (valid_time: 372, latitude: 721, longitude: 1440)\n",
+       "Coordinates:\n",
+       "    number      int64 8B ...\n",
+       "  * valid_time  (valid_time) datetime64[ns] 3kB 1990-01-01T06:00:00 ... 2020-...\n",
+       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
+       "  * longitude   (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n",
+       "    expver      (valid_time) <U4 6kB ...\n",
+       "Data variables:\n",
+       "    tp          (valid_time, latitude, longitude) float32 2GB ...\n",
+       "Attributes:\n",
+       "    GRIB_centre:             ecmf\n",
+       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
+       "    GRIB_subCentre:          0\n",
+       "    Conventions:             CF-1.7\n",
+       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
+       "    history:                 2025-09-22T22:03 GRIB to CDM+CF via cfgrib-0.9.1..."
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ERA5 monthly precipitation totals (calculated for us due to long comp. times)\n",
+    "ds_climo = xr.open_dataset('ERA-5_total_precipitation_monthly-1981-2020.nc')\n",
+    "ds_climo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "9345ab8b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# subset data for 40x40 deg boundary box around Palm Springs, CA\n",
+    "ds_climo_ps = ds_climo.sel(\n",
+    "    latitude=slice(ps_lat+20, ps_lat-20),\n",
+    "    longitude=slice(ps_lon-20, ps_lon+20))\n",
+    "\n",
+    "# find nearest month in ds_climo to each 95th percentile day\n",
+    "# of ERA5 daily precip totals in Palm Springs\n",
+    "ds_climo_ps95 = ds_climo_ps.sel(\n",
+    "    valid_time = np.unique(prec_pm_ts.time.where(\n",
+    "        prec_pm_ts*1000 >= prec95).values),\n",
+    "    method=\"nearest\")\n",
+    "\n",
+    "# Mean composite of 95% percentile days of daily precip in ds_climo\n",
+    "ds_climo_ps95_mean = ds_climo_ps95.mean(dim='valid_time').compute()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "32da3d4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make map function\n",
+    "def make_map(data, title, res, pt_col, marker, plon, plat,\n",
+    "        cmap_title, cmap='RdYlGn_r'):\n",
+    "\n",
+    "    # create longitude and latitude ranges\n",
+    "    lon_range = np.arange(data.longitude.min(), \n",
+    "        data.longitude.max()+res, res)\n",
+    "    lat_range = np.flip(np.arange(data.latitude.min(),\n",
+    "        data.latitude.max()+res, res))\n",
+    "    print(len(lat_range), len(lon_range))\n",
+    "    # create 2D grid\n",
+    "    lon_grid, lat_grid = np.meshgrid(lon_range, lat_range)\n",
+    "\n",
+    "    # projection\n",
+    "    proj = ccrs.PlateCarree()\n",
+    "\n",
+    "    # figure\n",
+    "    fig, ax = plt.subplots(figsize=(10,10),subplot_kw=dict(projection=proj))\n",
+    "\n",
+    "    # add title, axis labels, and coastlines\n",
+    "    ax.coastlines()\n",
+    "\n",
+    "    # add gridded data and colorbar\n",
+    "    cs = ax.contourf(lon_grid, lat_grid, data, 10,\n",
+    "        cmap=cmap, transform=proj, extend='both')\n",
+    "    cb = fig.colorbar(cs,shrink=0.22)\n",
+    "    cb.set_label(cmap_title)\n",
+    "    # add point data\n",
+    "    ax.scatter(plon, plat, transform=proj, marker=marker, c=pt_col)\n",
+    "    \n",
+    "    # title\n",
+    "    ax.set_title(title)\n",
+    "    # add gridlines\n",
+    "    gl = ax.gridlines(draw_labels=True)\n",
+    "    gl.top_labels = False\n",
+    "    gl.right_labels = False\n",
+    "    #ax.set_ylim(48,72); ax.set_xlim(-80,40)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "1e68a518",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "160 160\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Composite mean precipitation of 95% days in Palm Springs, CA\n",
+    "make_map(\n",
+    "    data=ds_climo_ps95_mean.tp*1000, \n",
+    "    title='Composite mean precipitation of 95% days in Palm Springs, CA',\n",
+    "    marker='x',\n",
+    "    pt_col='k',\n",
+    "    res=0.25,\n",
+    "    plon=ps_lon,\n",
+    "    plat=ps_lat,\n",
+    "    cmap_title=\"Daily Precipitation [mm]\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "d1421457",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "160 160\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxgAAAKpCAYAAAA/nIoAAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd4U+Xfx/F3ku496C5QoJRRtuy9ykYEQQVkCCooDuSHAoqA6AO4EAduAZWhIssFAjJUoIAie1PKKBRKJ91tep4/amPTmaTpSPt9XVcu7ck597lzmpTzyb1UiqIoCCGEEEIIIYQZqCu7AkIIIYQQQojqQwKGEEIIIYQQwmwkYAghhBBCCCHMRgKGEEIIIYQQwmwkYAghhBBCCCHMRgKGEEIIIYQQwmwkYAghhBBCCCHMRgKGEEIIIYQQwmwkYAghhBBCCCHMRgKGhTp06BD9+/fH2dkZJycnevXqxb59+wrtN3HiRFQqVaFH48aN9fZLT09n2rRpeHl5ERgYyMKFCym4yPuVK1dwcnLit99+K1Pd9+zZg0qlYs+ePWUqRxQtKCiIiRMnVvh54+LieOihh/D29kalUnHfffdVeB1MVdb3ZMFrfuPGDRYsWMDRo0dNrtPp06dZsGABkZGRhZ6bOHEiQUFBJpddFpGRkQwePBgPDw9UKhXTp0+vlHoYIjU1lQULFhT5e12wYAEqlYo7d+6Uax3u3r3LCy+8QL9+/fDy8kKlUrFgwYIi91UUhffee4/GjRtja2uLn58fTzzxBPHx8YX2vXnzJhMnTsTb2xs7OztatGjBF198UWS5t2/fZuLEidSqVQsHBwc6depk8N9xrVbL0qVLGTBgAIGBgTg4ONCkSRNmz55NQkJCkce8//77utdQr149XnnlFbKysvT22bhxI6NHjyY4OBh7e3uCgoIYO3YsFy5cKLLMnTt30qlTJxwcHKhVqxYTJ07k9u3bBr0GIUQlUITFOXTokGJra6t069ZN2bRpk7Jx40alY8eOiq2trbJ//369fSdMmKDY29srBw4c0HscPXpUb79XXnlF8fX1VdavX6988cUXioODg/L111/r7TNw4EBl/PjxZa7/7t27FUDZvXt3mcsShdWtW1eZMGFChZ93+vTpio2NjbJ69WrlwIEDyrlz5yq8DqZKTExUDhw4oCQmJpp0/JEjR5SLFy/qfj58+LACKCtXrjS5TuvXry/2c3Lx4kXlyJEjJpddFvfdd5/i6empbNq0STlw4IASGRlZKfUwRExMjAIo8+fPL/Tc/PnzFUCJiYkp1zpcvnxZcXV1Vbp37648+uijxdZHURRlxowZilqtVl544QVl+/btyrJlyxQXFxflnnvuUTIzM3X7JSQkKPXr11cCAwOVlStXKtu2bVMmTJigAMrbb7+tV2Z6errSrFkzJTAwUFm9erWyfft2ZdiwYYqVlZWyZ8+eUut/9+5dxdnZWXn88ceV9evXK7t371befvttxd3dXWnatKmSmpqqt/9rr72mqFQqZc6cOcru3buVN954Q7GxsVEee+wxvf3at2+v3HvvvcqKFSuUPXv2KF9//bXSpEkTxcnJSTl58qTevnv27FGsrKyUYcOGKdu3b1dWr16tBAQEKM2aNVPS09NLfQ1CiIonAcMC9e/fX/Hx8VFSUlJ025KSkpRatWopnTt31tt3woQJiqOjY6lltm/fXlm0aJHu58cee0x58MEHdT+vW7dO8fT0NMs/xhIwyldlBYy+ffsqTZo0KffzZGZmKllZWeV+nrIo74BRmYKDg5WBAweWul9V+D1VhYCRk5Oj5OTklFqf69evKxqNRnn66af1tq9du1YBlE8//VS3bfHixQqg/PXXX3r79uvXT3F0dFTi4+N125YvX64Ael8+ZWVlKU2bNlXat29fav2zs7OVO3fuFNqe9/7M/0XUnTt3FDs7O+Xxxx/X2/f//u//FJVKpZw6dUq37datW4XKjIqKUqytrZXJkyfrbW/Xrp3StGlTvffTvn37FED58MMPS30NQoiKJ12kLNC+ffvo2bMnDg4Oum3Ozs50796d/fv3c/PmTaPLTE9Px9HRUfezk5MT6enpACQkJDB9+nSWLl1KrVq1jCr37NmzDBgwQNesPXXqVO7evVtovx07djBs2DACAwOxs7MjODiYKVOm6HVf+OOPP1CpVKxbt67Q8V999RUqlYrDhw8XW5eYmBiefPJJmjZtipOTE97e3vTu3Zs//vhDb7/IyEhUKhVvvfUWS5cupV69ejg5OdGpUyfCw8MLlfvDDz/omu6dnZ0JCwvjwIEDevvkdcc4fvw4o0aNwtXVFQ8PD2bMmEF2djbnzp1jwIABODs7ExQUxBtvvKF3fHp6Ov/73/9o1aqV7thOnTqxZcuWYl8vQHJyMm5ubkyZMqXQc5GRkWg0Gt58880Sy4iLi+PJJ58kICAAGxsb6tevz0svvURGRobe9dq5cydnzpzRdcMrqbtRUFAQQ4YMYdOmTbRo0QI7Ozvq16/Pe++9p7dfXtelr7/+mv/9738EBARga2vLxYsXgdxuE3369MHFxQUHBwe6dOlSZNePs2fPMnr0aHx8fLC1taVOnTqMHz9e9xqK6iI1ceJEnJycOHXqFH369MHR0REvLy+eeuopUlNTC72evC5Se/bsoV27dgA88sgjuuuR1y3mr7/+4qGHHiIoKEjXNWT06NFcuXJFV96qVasYNWoUAL169dKVsWrVKl3dCnaRSk9PZ86cOdSrVw8bGxsCAgKYNm1aoW4sedd+27ZttGnTBnt7exo3bsyKFSuK/X3lv0YXL15k69atujpFRkaW+ntasWIFLVu2xM7ODg8PD4YPH86ZM2f0ys+73mfPnqV///44Ojri5+fHkiVLAAgPD6dr1644OjoSEhLCl19+WWJ9IyMj8fLyAuCVV17R1bdg98Fbt24xevRoXF1d8fHxYdKkSSQmJurtoygKH374Ia1atcLe3h53d3dGjhxJREREiXUAdOctTXh4OFqtlkGDBultHzJkCAAbNmzQbdu3bx8+Pj7cc889hfZNSUlh27Ztum2bNm2iUaNGdOrUSbfNysqKhx9+mEOHDhEVFVVivTQaDZ6enoW2t2/fHoBr167ptm3bto309HQeeeQRvX0feeQRFEVh8+bNum3e3t6FyvT39ycwMFCvzKioKA4fPsy4ceOwsrLSbe/cuTMhISFs2rSpxPrn/X168803ef3113Wfu549e3L+/HmysrKYPXs2/v7+uLq6Mnz48CK7Xn377bd06tQJR0dHnJyc6N+/P//884/ePoZ8tiH3861Sqdi9ezdPPPEEtWrVwtPTkxEjRnDjxo0SX48QlkIChgXKzMzE1ta20Pa8bSdOnNDbnpaWhq+vLxqNhsDAQJ566ini4uL09uncuTMrVqzgypUrnDp1im+//ZbOnTsD8MILLxAaGsr48eONquetW7fo0aMHJ0+e5MMPP+Trr78mOTmZp556qtC+ly5dolOnTnz00Uds376defPmcfDgQbp27arru9utWzdat27N8uXLCx3/wQcf0K5dO92NXVHyXvP8+fP5+eefWblyJfXr16dnz55F3gwvX76cHTt2sGzZMtasWUNKSgqDBg3Su/lYu3Ytw4YNw8XFhXXr1vHFF18QHx9Pz549+fPPPwuV+cADD9CyZUs2bNjAY489xjvvvMNzzz3Hfffdx+DBg9m0aRO9e/dm1qxZbNy4UXdcRkYGcXFxzJw5k82bN7Nu3Tq6du3KiBEj+Oqrr4p9zU5OTkyaNIk1a9YUumn68MMPsbGxYdKkScUen56eTq9evfjqq6+YMWMGP//8Mw8//DBvvPEGI0aMAMDPz48DBw7QunVr6tevz4EDBzhw4ABt2rQptlyAo0ePMn36dJ577jk2bdpE586defbZZ3nrrbcK7TtnzhyuXr3Kxx9/zI8//oi3tzerV6+mX79+uLi48OWXX/Ldd9/h4eFB//799ULGsWPHaNeuHeHh4SxcuJCtW7eyePFiMjIyyMzMLLGOWVlZDBo0iD59+rB582aeeuopPvnkEx588MFij2nTpg0rV64EYO7cubrr8eijjwK5NzyNGjVi2bJl/Prrr7z++uvcvHmTdu3a6QL14MGDWbRoEZD7PswrY/DgwUWeU1EU7rvvPt566y3GjRvHzz//zIwZM/jyyy/p3bu3Lkjlvyb/+9//eO6559iyZQstWrRg8uTJ/P777yW+rgMHDuDr60uXLl10dfLz89PtU9TvafHixUyePJnQ0FA2btzIu+++y/Hjx+nUqVOh/vZZWVmMGDGCwYMHs2XLFgYOHMicOXN48cUXmTBhApMmTdLdME+cOJG///672Pr6+fnpbrQnT56sq+/LL7+st9/9999PSEgIGzZsYPbs2axdu5bnnntOb58pU6Ywffp0+vbty+bNm/nwww85deoUnTt35tatW8XWwRh578WCf9utra11X07k37ekfwPy73vy5ElatGhRaN+8badOnTKpvrt27QIgNDRU71wAzZs319vXz8+PWrVq6Z4vTkREBFeuXCmyzOJeQ2ll5lm+fDn79u1j+fLlfP7555w9e5ahQ4cyefJkYmJiWLFiBW+88QY7d+7UfVbzLFq0iNGjR9O0aVO+++47vv76a+7evUu3bt04ffq0bj9DPtv5Pfroo1hbW7N27VreeOMN9uzZw8MPP2zQ6xGiyqvkFhRhglatWikhISGKVqvVbcvKylLq16+vAMratWt125cuXaosXbpU2b59u7J9+3blpZdeUhwcHJTGjRsrd+/e1e0XHR2ttGvXTgEUQBk0aJCSmpqq/P7774q9vb1y/vx5o+s5a9YsRaVSFRrvERYWVmLXj5ycHCUrK0u5cuWKAihbtmzRPbdy5UoFUP755x/dtkOHDimA8uWXXxpVv+zsbCUrK0vp06ePMnz4cN32y5cvK4DSvHlzJTs7u9B51q1bpyiKomi1WsXf319p3ry53u/i7t27ire3t153tbzuGAX7R7dq1UoBlI0bN+q2ZWVlKV5eXsqIESNKrfvkyZOV1q1b6z1XsIvUpUuXFLVarbzzzju6bWlpaYqnp6fyyCOPlHiNPv74YwVQvvvuO73tr7/+ugIo27dv123r0aOHEhoaWmJ5+etY3HvDxcVF1/0vrztd9+7d9fZLSUlRPDw8lKFDh+pt12q1SsuWLfW6fvTu3Vtxc3NTbt++XWx9iuq2l9en/d1339Xb9//+7/8UQPnzzz/1Xk/+a25MF6ns7GwlOTlZcXR01DtXSV2kJkyYoNStW1f387Zt2xRAeeONN/T2+/bbbwt1r6lbt65iZ2enXLlyRbctLS1N8fDwUKZMmVJqfevWrasMHjxYb1txv6f4+HjF3t5eGTRokN72q1evKra2tsqYMWP0XhOgbNiwQbct77MA6I05iY2NVTQajTJjxowS62pIF6mC1+zJJ59U7OzsdN2aDhw4UORn99q1a4q9vb3ywgsvlFgHQ+tz9OhRBVBeffVVve2//fabAig2Nja6bdOnT1fUarXe71BRFGXcuHEKoNdFydrausjf6/79+wv9e2Go69evKz4+Pkrbtm31/vY99thjiq2tbZHHhISEKP369Su2zKysLKVnz56Ki4uLcvXqVd32NWvWKIBy4MCBQsc8/vjjetelKHl/z1u2bKlX12XLlimAcu+99+rtP336dAXQjce6evWqYmVlVajr2t27dxVfX1/lgQceKPbcxX228/4de/LJJ/X2f+ONNxRAuXnzZomvSQhLIC0YFujpp5/m/PnzPPXUU0RFRXHt2jWmTp2qa4ZVq//7tT733HM899xzhIWFERYWxmuvvcZXX33F2bNn+eyzz3T7+fj4cPDgQS5fvkxUVBQ///wzGo2GKVOmMHfuXBo2bMiGDRsIDQ3Fw8ODIUOG6DVjF2X37t2EhobSsmVLve1jxowptO/t27eZOnUqtWvXxsrKCmtra+rWrQug15Vi9OjReHt767VivP/++3h5eZX4rXKejz/+mDZt2mBnZ6c7z2+//Vaouwbkfous0Wh0P+d9g5Z3nc+dO8eNGzcYN26c3jV3cnLi/vvvJzw8vFBXmrzuDnmaNGmCSqVi4MCBum1WVlYEBwcXalZfv349Xbp0wcnJSVf3L774osi651e/fn2GDBnChx9+qJsZbO3atcTGxhbZmpTfrl27cHR0ZOTIkXrb87qZlGVGseLeG0lJSRw5ckRv+/3336/38/79+4mLi2PChAlkZ2frHjk5OQwYMIDDhw+TkpJCamoqe/fu5YEHHtB1lzHW2LFjC9URct/fpkhOTmbWrFkEBwdjZWWFlZUVTk5OpKSklPq7LE7et8kFu/+MGjUKR0fHQr+nVq1aUadOHd3PdnZ2hISEFHrPGavg7+nAgQOkpaUVqlft2rXp3bt3oXqpVCq9LkJ5nwU/Pz9at26t2+7h4YG3t3eZ6wtw77336v3cokUL0tPTdd1kfvrpJ1QqFQ8//LDee83X15eWLVuabTa8li1b0r17d958803Wr19PQkIC+/fvZ+rUqWg0Gr2/MY8//jjW1taMHTuWU6dOERsby/Lly/n2228B/X8DgBK7aOU9l5OTo/f6tFptkfvHxcUxaNAgFEXh22+/NelcBSmKwuTJk/njjz/46quvqF27tsHHGtL9DGDQoEF6dW3SpAlAoVbBvO1Xr14F4NdffyU7O5vx48frXR87Ozt69Oih9/s39rNd1HsPMMv7WojKJgHDAk2aNIklS5bw9ddfExgYSJ06dTh9+jQzZ84EICAgoMTjhw8fjqOjY6HxBCqViqCgIPz9/QFYsmQJarWa559/nrNnzzJ27Fjefvttrl+/Tq1atUptyo2NjcXX17fQ9oLbcnJy6NevHxs3buSFF17gt99+49ChQ7r6paWl6fa1tbVlypQprF27loSEBGJiYvjuu+949NFHi+wykN/SpUt54okn6NChAxs2bCA8PJzDhw8zYMAAvXPkKdjvOK/8vH1jY2MB9LqI5PH39ycnJ6fQ9JIeHh56P9vY2ODg4ICdnV2h7XljYCB3SscHHniAgIAAVq9ezYEDBzh8+DCTJk3S2684zz77LBcuXGDHjh1AbneBTp06ldqNKe93WPAfcW9vb6ysrHTXwBQlvTcKllvwGud1Sxk5ciTW1tZ6j9dffx1FUYiLiyM+Ph6tVktgYKBJdbSysir0PiiujoYaM2YMH3zwAY8++ii//vorhw4d4vDhw3h5eRX5PjREbGwsVlZWhUKUSqXC19e3UF2L6lNva2tr8vnzFPw9lfYZKViv4j4LBT83edsNee+XprTP+a1bt1AUBR8fn0LvtfDwcLNOc5v3JcIDDzyAu7s7vXr1YsSIEbRq1Urv73qTJk3YtGkTV65coVmzZtSqVYvXX3+dt99+G9D/N8DT07PI92pel9G8aztp0iS919anT59Cx8THxxMWFkZUVBQ7duygfv36es97enqSnp5e6IuVvPMV9XtUFIVHH32U1atXs2rVKoYNG1aoTCj681ZcmUUp6m9vSdvz3lt5f2vatWtX6Pf/7bff6v3+jf1sl/beE8KSWZW+i6iKZs2axfTp07lw4QLOzs7UrVuXKVOm4OjoWGjgX1EURSn0zVN+586dY8mSJezcuRNra2t27txJaGgoAwYMAGDGjBm0bNmS5ORknJyciizD09OT6OjoQtsLbjt58iTHjh1j1apVTJgwQbc9b4BoQU888QRLlixhxYoVpKenk52dzdSpU0t9zatXr6Znz5589NFHetuLGnRuiLx/HIoaVH/jxg3UajXu7u4mlV3Q6tWrqVevHt9++63ezX7BvvXF6d27N82aNeODDz7AycmJI0eOsHr16lKP8/T05ODBgyiKonfe27dvk52dbfSg//xKem8U/Ie3YMDJO+/7779Px44diyzfx8cHrVaLRqPh+vXrJtUxOzub2NhYvfoUV0dDJCYm8tNPPzF//nxmz56t2543xsZUnp6eZGdnExMToxcyFEUhOjq6xLFJ5lTw91TaZ6Qs75+KUqtWLVQqFX/88UeJ4x7Mwdvbm19++YXbt28THR1N3bp1sbe358MPPyzUijhw4ECuXLnCxYsXyc7OJiQkhO+++w6A7t276/Zr3rx5oXF58N9YvWbNmgG5E1Hkb9F0dnbW2z8+Pp6+ffty+fJlfvvttyLHROSNvThx4gQdOnTQbY+OjubOnTu6c+XJCxcrV67kiy++KPJLq7xjTpw4UWgA/IkTJwqVaW5579Hvv/9e16pelPL6bAthqaQFw4LZ2trSrFkz6taty9WrV/n222957LHHsLe3L/G477//ntTU1GJvzCB3UOPEiRN1A70VRSElJUX3fHJysm57cXr16sWpU6c4duyY3va1a9fq/Zx3U1LwH+pPPvmkyHL9/PwYNWoUH374IR9//DFDhw7V6+5RHJVKVegcx48fLzTjk6EaNWpEQEAAa9eu1bsOKSkpbNiwQTezlDmoVCpsbGz0buCio6NLnUUqv2eeeYaff/6ZOXPm4OPjo5ulqCR9+vQhOTlZb/YXQDewvKhvOQ1V3HvD2dm51JaVLl264ObmxunTp2nbtm2RDxsbG+zt7enRowfr1683+ZvmNWvWFKojQM+ePYs9prhvIlUqFYqiFHoffv7554W6pBjzbWbe76FgaNywYQMpKSll+j2VRadOnbC3ty9Ur+vXr7Nr165yr5c5vhEeMmQIiqIQFRVV5Pus4IBmc/D29qZFixa4urry8ccfk5KSUmR3RpVKRcOGDWnSpAlarZZ3332XVq1a6QWM4cOHc/bsWQ4ePKjblp2dzerVq+nQoYOuxTooKEjvdTVq1Ei3f164iIiIYPv27Xrd1fIbMGAAdnZ2utnO8uTNmpR/8U1FUXjsscdYuXIln3zySaGZp/IEBATQvn17Vq9erfcZCQ8P59y5c7rJJspL//79sbKy4tKlS8X+rQHjPttC1ATSgmGBTp48yYYNG2jbti22trYcO3aMJUuW0LBhQ1599VXdfleuXGHMmDE89NBDBAcHo1Kp2Lt3L8uWLSM0NLTQTBl5VqxYwfnz5/VuXvv06cNzzz3HvHnz6NatG/Pnz6dLly6FvuXKb/r06axYsYLBgwfz2muv4ePjw5o1azh79qzefo0bN6ZBgwbMnj0bRVHw8PDgxx9/1HXnKcqzzz6r+4Ysb8ae0gwZMoRXX32V+fPn06NHD86dO8fChQupV68e2dnZBpWRn1qt5o033mDs2LEMGTKEKVOmkJGRwZtvvklCQoJuek1zGDJkCBs3buTJJ59k5MiRXLt2jVdffRU/P79iV74t6OGHH2bOnDn8/vvvzJ07V9cVoCTjx49n+fLlTJgwgcjISJo3b86ff/7JokWLGDRoEH379jX5Nfn7+3PvvfeyYMEC/Pz8WL16NTt27OD1118vNZg5OTnx/vvvM2HCBOLi4hg5ciTe3t7ExMRw7NgxYmJidC1VS5cupWvXrnTo0IHZs2cTHBzMrVu3+OGHH/jkk09KfA/b2Njw9ttvk5ycTLt27di/fz+vvfYaAwcOpGvXrsUe16BBA+zt7VmzZg1NmjTByckJf39//P39df3sa9WqRVBQEHv37uWLL77Azc1Nr4y8b2Y//fRTnJ2dsbOzo169ekW2nISFhdG/f39mzZpFUlISXbp04fjx48yfP5/WrVszbty4Eq9neXFzc+Pll1/mxRdfZPz48YwePZrY2FheeeUV7OzsmD9/frmeP691d8uWLfTp0wcPDw/ddTdUly5dePzxx3nkkUf466+/6N69O46Ojty8eZM///yT5s2b88QTT5RYxtatW0lJSdG1lp4+fZrvv/8eyB0bkPd+zxsX16BBAxISEti6dStffPEFixYtKhS6n376aXr27ImnpycRERG89957XL9+nb179+rtN2nSJJYvX86oUaNYsmQJ3t7efPjhh5w7d46dO3eW+vrT0tJ0U7IuW7aM7Oxsve61Xl5eNGjQAMjtbjR37lxefvllPDw86NevH4cPH2bBggU8+uijNG3aVHfcM888wxdffMGkSZNo3ry5Xpm2trZ6Ieb1118nLCyMUaNG8eSTT3L79m1mz55Ns2bNig0m5hIUFMTChQt56aWXiIiIYMCAAbi7u3Pr1i0OHTqEo6Mjr7zyCi4uLgZ/toWoESp6VLkou3Pnzindu3dXPDw8FBsbGyU4OFiZO3eukpycrLdfXFycMnz4cCUoKEixt7dXbGxslIYNGyovvPCCkpCQUGTZt2/fVjw8PJT169cXem7NmjVKw4YNFScnJyUsLEyJiIgota6nT59WwsLCFDs7O8XDw0OZPHmysmXLlkKz4+Tt5+zsrLi7uyujRo1Srl69WuKqt0FBQUYt7JaRkaHMnDlTCQgIUOzs7JQ2bdoomzdvLjQjT96sI2+++WahMoqqz+bNm5UOHToodnZ2iqOjo9KnTx9l3759evsUt6hXcQshFjUj05IlS5SgoCDF1tZWadKkifLZZ5/pys2vpIX2Jk6cqFhZWSnXr18v8vmixMbGKlOnTlX8/PwUKysrpW7dusqcOXMKraBr7CxSgwcPVr7//nslNDRUsbGxUYKCgpSlS5fq7Zc3O1FR70dFUZS9e/cqgwcPVjw8PBRra2slICBAGTx4cKH9T58+rYwaNUrx9PRUbGxslDp16igTJ07UvYbiZpFydHRUjh8/rvTs2VOxt7dXPDw8lCeeeKLQZ62oa75u3TqlcePGirW1td775vr168r999+vuLu7K87OzsqAAQOUkydPFlnGsmXLlHr16ikajUZvVqqC71lFyZ0JatasWUrdunUVa2trxc/PT3niiSf0Fl3Lf+0L6tGjh9KjR48ir3Npx5f2e/r888+VFi1aKDY2Noqrq6sybNgwvUXX8l6ToZ+Fkl5HQTt37lRat26t2NraKoDuGhf3mcyb4efy5ct621esWKF06NBBcXR0VOzt7ZUGDRoo48ePL7TYXVHq1q2rm6Gv4CP/eT755BOlSZMmioODg+Lk5KR069ZN2bx5c5FlDhs2TPHz81Osra0VX19fZeLEicWuqh4dHa2MHz9e8fDwUOzs7JSOHTsqO3bsKLXeivLf38PiHkX9rXn33XeVkJAQ3Wdt/vz5eiuRl3ZNCr63FUVRtm/frnTs2FH3b8n48eOLXKyvuPoX/Hte3Hs27/d/+PBhve2bN29WevXqpbi4uCi2trZK3bp1lZEjRyo7d+7U7WPoZ7u4c8gitKI6USlKCX1chKiijh8/TsuWLVm+fDlPPvlkZVfHImRmZhIUFETXrl11fbUrS1BQEM2aNeOnn36q1HqUZOLEiXz//fe67oBCCCGEMIx0kRIW5dKlS1y5coUXX3wRPz+/QtNfisJiYmI4d+4cK1eu5NatW3oDEIUQQgghzE0GeQuL8uqrrxIWFkZycjLr16832yDq6uznn3+mW7dubN26lQ8//LDUAdRCCCGEEGUhXaSEEEIIIYQQZiMtGEIIIYQQQgizkYAhhBBCCCGEMBsJGEIIIYQQQgizqXazSKWnp5OZmVnZ1RBCCCGEEMWwsbHBzs6usqshykm1Chjp6enUq+NNdMzdyq6KEEIIIYQohq+vL5cvX5aQUU1Vq4CRmZlJdMxdrv4+CxcnW7OWnaVVs+NCCGENz2OtyTFr2Yb49ufjTHl5MzMf7cbcJ3vptu89dJlhU7/W29fKSk2Atwstm/jy8cL7cLC3IStLS1CvN5jxSDf+N7mrUefWHjxb4vMnrsXzfz+coLaHI6ejEgi/FEuvJj5M6t6APi1qs8d9GL0Tf8Qare4YTYfGRZalKAq9RnzA0SvxANSv4864YW345udjnIu4Q8vGvuTkKPz21WRsbKrW21dVv53ZysrKUti+I5l+YU5YW6vMVm51J9fNNHLdTCPXzTRy3UxTna5bUlIqtes8SGZmpgSMaqpq3aGZiYuTLS5O5n3DZmnVODg44OJkVykB47EH23Pq4m2Wrw5n4bN9sbO1BmBo7yac+mU6128l4uZsT20/V7w9HVGr9YfXHDkVRUpqFgO6hxh9bbT21sU+dzcti8mfH0Cbo3D2RhLX4lLxdLLh7M0kxn2yn0AvNz74bDQLVh3niR71aBrgmnvg8UtoOocWKu/o6Ru6cDE8rCnfLBtNVraWV97/DYAnx3biqYU/8PK7O3lv7lCsrTVGvZbypHJxNFtZWVkKDg45uLg4Wvw/JBVJrptp5LqZRq6baeS6mUaum7Ak1TJgVFcThrfh028O0XHkR9w/oBkDuoVwTzN/mgR70yTYu8RjE++mA+DtafxNsKZzKNr9p4p87lpcKldjU3FzsGbe8BaEBriy7kAk3x28ggrwcLIBYMeJm/x27Cp/vzoI+39bHrT7TxUKGRevxur+f8roDlhba8jK1jI8rCnb/rjAlJc3AfDJukPsDo9gwvA21PF345/TN7h6I4Hafm4E+rowamBzAn1djX6tZaFcDEcV3LFCzymEEEIIUdXILFIWpHVTf7avnETDIE/e/uIPOoz8kNCBy/js28OkZ2SVeGxGZm73JFszdytqGuDK6SVDGdgygKe/OswXey+xaFRrriwbwQcT2pO3jmNtDweuxKYwb8Mx8q/tqN1/Si+8HD8Xjb2dNYG+rqza8DcADvY2bFj+MEn/zGfDB2Ppek9dAM5fvsNLS7czbuZ3LF3xJ99vO8k7K//kf4t/oU7313n4f9+SklqxA/6Vi+EoF8Mr9JxCCCGEEFWJtGBYmK5tg+jaNogLkXfoMfYzzl2+w5SXNzHl5U08+kA7PlxwL1ZWhbsNJadmAGBrY/4uRUFeTnzxaCf6hvoyZeVBNv51lZHt6vJMv0ZM6NGYncC5W3fxdrFj2a9nORIZxzsPt6VFbXcADkXc4ftvvmb3lQSOnrnJxBFt6NauHpPnbMDd1Z72LWrTqokfTYO9Gd4vlOH9QvnrxHWWrdrHph2nSUvP4pkJnenbOZiLv5/i56NR/HYqmrU/HmPtj8fYP28A7ep76upbVNcsc8sLGdKiIYQQQoiaRgKGBcrO1jLo0VUkJKXRr2tDdh+MICtLy+ffHWbyqLZ0aFlbb//0jCw+/+4vGgZ5UsvdfOMEChrdqR69mvjy5Z+X+GLvJdaFX+btcZ2oex9sfKYHA5dsI8TXmRsJabSfv5VZg0Op5+3E1JUH8XGxo1dTX1qOaM03Px9neL9Qpk/swvqtJ/ho7UEA3F3teXhYKx4d1Y62zQNZ/faDKIpCTo4CB88AWghrzNNhjTl5PYF7Xv6FHEWh88JtnFw8lEZ+LgC6FhMJGkIIIYQQ5iddpCyQWq2iXfNA0jOyuZuSwdqlD3Ir/EXO/jqDDi1rE5eQyi97zvHysh30Hf85Xh3+j90HI+hyTxDz3t3JH4cvk5Nj3EB1Q2/Gfd3smTWkGacWD+XJPo2Y/e0/ADT0dWbr8705H30Xf3d75g5rzhu/nOKxL8IZ16U+EUvvY8kDrfn1tzOkZ2Tz+NxNtGjkS9StJAD8vJxpHuLDuh+P03Loe3R+4CNOXbiFSqX6N1zoaxboRtKnD/L8oKYAHLx0p9A+BbtnlSfpOiWEEEKImkJaMCyQWq1m7TsP8fCw1rzx2V5GPb0WaysNdnYaMjK0ZGbljrdwcrTBx8MJLw9HIq/H881Px3B2tOX/PtxNm1B/fvxkPH7eLuVSR2srNW+PuYf2Df0A6LN4B60DnQHQqFTMHdacoa0DeffXM5y4Fs9ney5y6FIsOQosGtWKF9cfZc0PR+ncpg6L/9eflRv+5pufj5OToxDWNZjrNxPp9MBHfPXGAwwtplHG1lrDogda88LgUFxKmAmrqMHmQgghhBDCNNKCYcEG9WzEnjWPE1zXk6xsLXeTM3XhAiAtPRu1RkWLRr6sfvsB7hyay839c9j19aPcupNM14c+4Xp0osHnM+UmfES7OgA08HZh/4XbzBoSyubpPQFoWccdL2c7/o6M4+mvDnP8ahzaHIX/++EkAPv/ucLQ3k3o1q4eK5aM5Nrvs1nwTF8OHbvOrTvJ3BMawP1PreGib8kzaLk52qBWlzylX0W1ZAghhBBCVHcSMKqBJ8fq9+/v1jaI5QvuJerP2Zzb/j82fzSOMUNb4WBvg1qtpmeH+vz5zRSSkjNYtmqfUecy9Zv+1U904dSSe3ltZCscbP9rOHuybwjujrlT2R67lkCrOu50Cq5FbQ8HbNVqJo28R7evp7sDs6f04My256hX24O09ExsbTT8svecWVogJGQIIYQQQpSdBIxqYPrELvy9+SkWz+zPsD5NOBsRw7QFP+DbaRGz3txW5DF1A9wZ0qsxu8MjKri2BepRy4ktz/XExir3rWhtpWZI60CuxaWy6dkeeJy9UugYXy9nFjzdh0PHo2ge4sOOPy8CFTNoWwghhBBClEzGYFQTrZv607qpPwDbfj/PoEdXARATmwzAjVtJfPrtIXIUhd4dG3D64m0OHL1K/UAPo89V0sJ7pugU7MU/rw3m3V/P0raep65FY9Pf1+jc0IuiJtYd1LMRzUJ8yMjSsvfwZdIzsrCztUbTOZTb24/wy7Eofj97m5mDmupmjxJCCCGEEOVPAkY1dDPmLgCf/d8Ixt/XGoCGYW+Tlp67GN9ry3djZaWmTVN/Hn+ovUnnMHfICPF1YfmE/+ryzti2PLfmLwa3CqC3WlWodUKlUtGnczCbd5wiLT2LJ+ZtoVVTP7bsPM0ff11Bq82dJWvogx1pWkTLRv66F9fyse/vK6SlZ9G3S7A5XqIQQgghRI0gXaSqobFDW9K5TR1efPtXdu6/SE5ODju/nMyU0e1x+Hc2pY8X3sf2VZMY1reJyecpjy5JL39/lPozNnHpVhJOtho+3XUBbU6OLhDExCWTkJQGQMO6nkTdSmL5/Hv5/teTzFz8C5evx/P0uE4AvPhET4b3K7qOms6hukdxZr+5jX6PrODvk1FmfpVCCCGEENWXBIxqyMbGis0fjqN+bQ8GP/Yl/SauoF6gOx+9ch/Xfp/NqIHNePTFjbi1WUit9q/xwDNr+WL9X6RnZBl9LnOHjH0XYrgWl8rKPyKwt7Fi419XGfjmLiJjkjm09nd8Oi7i6YU/AtAwyJPs7BxsbDSkpWcR4OvKlagEIq7FodGoeWZ85zLVpX7t3O5jxg6EF0IIIYSoySRgVFO1PBzZ/91Utn4xkdOXYmh173vs3HcRd1d7vlk2mn3fTmXN0geZOOIevt92ksde2siWnYUXrDOEOUPGI90bADC1d0Oa+LuiAH9djqXZnB/ptWgHAKrY3Kl1G9atBcC8ZTvp2zmYnV9OBuBCZCz9ugTj7elkcj1+23+Rr7fkLhJY28/V5HIKkgX3hBBCCFHdScCoxlQqFf27hXD0h6dp2diP/pNWMu/dHeTkKHRqXYfRQ1py5FQUtjZWLF9wL6MGNqvsKjOuS32m9W3Esl/Pcn+7Oix5oDV307MJa+bHvPuaA+DvZo92/ylq+7liZaUmPTObdi0C2XvoMioVnLl0m9FDW5p0/tj4VIY89iVhE1cA0KheLeY+2ctsry+PhAwhhBBCVFcSMGoAb08ntn4xkVenh7Hooz30GPsp4UevotXmcOzsTZwcbBjauwlqddV4O7w9pg2Tujfg2dV/cfRqPF1DvACYOSiUzg29iIrPHYOhhJ8GwMZKQ3JqJr/tv4iPpxPurvaM6BfK2h+Pog55Efd7FhJxNa7U827ecRqvDq/xy95zALw7dwgnf5mOg71NubxOCRnlR4k4XNlVEEIIIWqsqnFHKcqdWq3mxSd6svvrR0lKzqDzAx8z8qk1fPTKfTg62NBx5EccO3OzsqsJgEat5sOJHVj7ZFe2HLnGn+djsLPOnay2oa8zZ2/mdpF6ecMxsrNzCAp056/j19mx7wIJd9MZP7wNr3ywi4f/9x0Azo62eHk4Fnu+O3EpjJ3xDSOmrdZtu/b7LJ4e3xmNpnw/ItJlyrwkWAghhBCVTwJGDdOtXT3+2fI0X7/1ACfO32L8C+uZNPIe3F3taD3sfWp3W4JTy/ls/fdb/Mo0qn1d9rzYj8EtA3jl/twuT7U9HIlOSOPolThe/+kUi0a1Ijk2iX1HrhCbkEZ6RjZb957jrc//yC1jYDOu7H0BZyfbIs+x4deThA5axrqfjnNf36bc0ywAgGvRiRXzIv8lIUMIIYQQ1YUEjBpIo1Ez9t5WnNo6nQnD2/Dq8t289lw/XnyiJ9bWGlLTsrj17wJ9hjDnehgFtQnyYPNzPQnxzV0sz8nWiviUTBb/eJJADweeG9BE17qRt6ZHxLU4tnw8jo6tahOXkIZKpdKVd+lqLCu+/4uZS36hxZB3GfX0WmLiUgDYvPO0bkrazg98TLeHPuG9r/YT/e+6IuVNQkbZqeq30/uvEEIIISqeLLRXg9naWPHBvKH8fTKKqfM2s33lJL79+TgAc5f8wmvLd7PunYdo1yKwkmv6n+Fta7Pox5Ns/Osan07qiJVGTfj8gWg6h5KVpaVfl2D8vF34fP1hwo9eY2D3EACSUzKY8MJ6Nu04XajM6RO7ENYlmDah/uzcf4lxM3O7Vu07coV9R64w/bWfOLd9Bg2DapX761MuhqMK7lju5xFCCCGEKC8SMGo4Gxsrtq2YyIBJq+g46iPa1XWnc5f61HK25Z1tZ9j2x/kiA0Z5tlqUpL63Mz//rzexyekMbvVfvbT7T3E10Jef9pzj683/UMvdgbdmD2Lq6NxWjcfnbtILF/UC3RlzbyueHNMBP28X3fax97aiW9sgTl24xbnLd5jz1q9kZGYz4YX17F3zONb/tpaUJ+ViOIpWDTQu93MJIYQQQpibBAyBl4cTu1c/yrtf7ufTbw7x+7nbuPy74vfJ87eIvB5P7as3KrmW/+kYXLgl4as/I3h85Tq8PBx5c9ZAHn+wnW72p42/nuSbf1tmmoX48Npz/Rjau7Fe16n86vi7UcffjYE9GjGkV2NCwt4m/Og16vd+k782TcOnlnP5vTghysnJuIM08+hQ2dUQQghRA8gYDAGAi5MdL0/rTcSu5/nuvdFMfqgDj9x/D+u3nqDZgKUcirhT2VUsUaCHA2qgQ4tAnhzTQRcucnJymP/eTgCsrNT88vlE7u3TpNhwUVBwXU/ObZ8BQNStJPw6L+Zucka5vIaiyKxIwhxOxh3U+68QQghRniRgCD3W1hpGDmjO23MG4eRog0oFqZlabiemV3bVStS7qS/fP92drb+fZ+TTa8nIzAZg697znLpwGzcXO1o29uNKVALJKcYFhIZBtUg4Mo+u99QF4M+/I81d/RLJ4G9hThIyhBBClDcJGKJYfToFoyi5/9/Ap+p3CxrUKoBNz3Rn2x/n+WjtQRRF4fVP99KpdR2aBnvz98kouo3+hHdW7TO6bBcnO35fN4W7RxcwsEejcqh9ySRkCFMVFSgkZAghhChPMgZDFGto78Z8NLEDJ67FE+Jb9QMGQL/m/oxqV4f3v9qPu4s9f/59hV8+n0gdf1c6jvqIuv5uPPVwJ5PLd3Qon1W9DZEXMmSWKWGMZh4dig0ZMiZDCCFEeZAWDFEslUrFlBeH8e64dmjUlvNWeTqsMZevx/PY3I2MGdqSAd1D+L8Pd+NgZ80vn0/E3dW+sqtYJrL6t+WS35sQQoiawHLuGkWl0XQOrewqGKVdfU86BdfCw8GGd+cOBWDzzjM8O6ELtf3cKrdyZiQ3q5YjfyisjIAoLRVCCCEqknSREtXSsrFt+fC38zw06XOWLx2Dq7MdqelZhfZLTcvkq83/sHPfRa7cSCAtPYuEpHRi4lPIytIWWfbni0YwaWRbvbVA8oewgmuElGdAk25TVV9VCYJ5XaUkbAghhChvEjCEQTSdQyttcT1jnY9OotfiHdjbWBGXksHEaV/Ruokfv+2/yKvTw3T7Rcfc5d4pX/HXySijyldfvlnoWpR0bSoicEjQqByGXPe85/IHjcr6PUm4EEIIUREkYAiDVYWQEb81AgD3gfWL3edWYhqpmVq+nNIFX1d7ei/ewQhPR7Yevcbcd7bz6vQwIq7FETZxBZHX4wEIqVeL+/s3I9DXBWdHW5wdbXGMvImTnTXeLrb4utpja6ZVvPOuoQQNy1WwVUK5GF7qNZffiRBCiJpCAoYwSmWFjLxgkf/n4kJG1xBv2gR58PpPp9g6szcdGngCCotGteLFj/agKPDjrjO6cPG/yd1YMrM/Go0632tToKlvOb4iiu1iZQ4SNMpHSd2dDAkZQgghRE0gg7yF0Sp60HfBcFHadpVKxdKx93A+Ogn/Zzbw5/kYAtwdeX5wKI/1DGbxx3s4ef4WAJ++Npw3Zw1Eo6ncj4J2/yndw5xkxinzMeQ6yrUWQgghpAVDVHHFhYiCzxdszejS0Jtj/zeEH45c4256Fo/3agjAhxM7EBGTzG+notmxahJ9OgfrHVcVuoFp959CixW4NTZbmdKiUXGkJUMIIURNJy0YwiRVberaooJIoIcDT/ZtxKwhzXB3tAXgSGQcv52K5sOJ7elJRpFhoqq9NnOSFg3TGHvN5BoLIYSoySRgCJOV9414aa0XRe1f2jGb/rpKLWdbHunWQLetqO5Jms6hVSJoaA+eKZcWFbkBLn9yjYUQQtRU0kVK1ChpWVq8nG2xKmbMRWV3jyqOdv+pchsIDtJ1qiRlCQpyjYUQQtRE0oIhyqQ8v+UvaSpaU/m62nHxVjKvbj5OchEL71Vl5TEIPE9e1yn51r38yPUVQghRU0jAEGVWlUJGafs/0acRz/RrxOs/naL5iz+x7bhxi+zl9862M5y4Fm/y8aYqz6ABEjbyK49rINdWCCFEdScBQ1R55mzJcLS1YsmDbTi5eChN/F0ZunQPEz/dz/W4VKPK2X8hhhe+OcIjnx0wW92MVV5T2+ZXU2+GK+J119RrK4QQovqTMRjCLMp7elf3gfWNHvRdkiAvJ37+Xy++/DOC2d/+w/eHrjC0dSCDWwXQJcSboFqOqFQq0jO13EhIJT41k8TULOJTMrmdlM7rP50EICreuGBSXgpeexmvYZzKvNGXaW2FEEJUNxIwRLUS/dNFrjRx43BELFHxqWRrc8jOUfBxsaN1XQ9aB3ng7WIH5C7IN7FbA+5vW4fP9lzgm/AruhYJPzd7WtZxJ/ziHRJSM/XOoVJB76a+pGZqSUzNYu3+ywxuFYCrg43ZX09ETDJz1h7knbH3ULeWk8HH5QWO8ui+VtLNuKXdKJsSLPK/RnMFE1mnRAghRHUiAUNYjNJaMX68FsvsI5eJ+T4LGys1dTwdsVKr0KhVXItLJSktd1B3sI8zD7Svy0Odgmji74qzvTUzBjZlxsCmxCZncOBCDPsvxHAqKoGJ3eozsGUAbg42uDva4O5gg4u9NWq1ivve2cPPx6KY8Ol+nugTwnvj2pn9Nbeb9wtpaWm8fF9z6tYy/vjyDBpFKXjDXZVvmI0NB0W9FlVwR7O2fkhrhhBCiOpAAoYwm4pYBbu4kBEek8RjB87T39+dZ5sE0O2hZthYaXTP5+QoXL6TzJHIOLafuMnynedY9ONJWtR2Z3SnujzQIYg6no54OtkypHUgQ1oHFvn68ut7IYGfj0XR0MeZp8Ia6bYrikJiahbX4lJIydBSz8sRH1f7Mr3u9CxtmY4vuMZHRSnPrlVF3dgrWjXQGCXiMIomp9hzmiNc5H/O3CGjtHMKIYQQVZkEDGFxigoZh+7cJUeB/2tdj0BHW71wAaBWq2jg7UwDb2dGta/LB+Pbse34Db4Jj+SVTSeY891ROjf04qGOQYxoW7vIQFCwNeDtL/4EoHeoL2//cprrcalcun2XS7eTCx2b8MmDONr+93GLT8lAm6NQy9nOoNd86dZdOgV7GbRvaapC2CiOJd5Ul9f4DWnNEEIIYakkYAizqohWjKKMqluLVRejeXDvGb7u1oh7itgnM1vLi+uPkpmdg5OtFU52VvRv4c+SB1vzx7nbfHvwCs+t+Ytnvj5MaIArPRr70KOxD90be+sFgbzXN617PeZvPM4nuy4UW696Xk7c364Odtb/TdiWlpmN97Tv6RRci9/n9jfo9TnZWRt2IYxU3oPDjWXOm2pztjpU1s2+hAwhhBCWSAKGsEgFWzH8HGz5vmdTRv9+ll6/Hmehq5pHewTrbswVRWHX6Wje/fUsAA28nXQtDdP6NmLZw215uEt9YpLS2XHyJnvP3uLXEzf48LfzADQLdKNHYx96NvGhVR13Aj0cmDkolHUHrnD837UwfFzsaFffkym9G9I31E+3Wrg2J4dbiem4OtjgaGvFtwevAHDg4p0iX1tOjsKyHWdo+uBwADoF12JwywBzX8IiVfSYjaIY0kWoMmZ9KnizX1F1kJAhhBDC0kjAEGZXUa0YBUNGfWd7dvVvwVuJiTy/7ggvfncUPzc71CoVkXdSdPt5OdsyoEUAX/55ieT0bBYMb/Hfcy52jOlcjzGd6wFwLTaFvWdvsffsbX45FsXynedyX6NaRaC7A6jAWqMiS6twKymdn45G8dPRKNwdbXCytcLd0ZYLt5JIy9Rib6Ph+UFN2XLkuu58wf/bTC0XW2o52eLpZEtyejZ/nr9NWo6GdQ+Cl7Mdq5/oirVVxS5ZU1WCRsEba3Pe1JsydsKS1q2o7lMLCyGEqLokYAiLln8RvvitEThaaVj2cFue7teIHSdvcjM+jUU/ntTtU9fTEU9nW3acvEFyejYAV+NScHMseorZ2p6OPNylPg93yT3P1dgUzt5IJPJOCldjU7hyJ5nIOylExiQTnZiuO05RFOxtNNhoVIztXI8uDb3YdTqat345jb2NFRuf7UFGlpajV+O5czedAxfucPRKPAEeDjzRJ4SlOy4B8MOMntTxdDD7dTNUZQeNstzQm+ub//IMOUIIIUR1JAFDlIvKGIuRP2w08HamQW9n/rocy6IfT/LC4Ka8NrIVKpVKt8+Gw1d5bs1fZGTlGHyOOp6O1PF0LPK59EwtkXeSOXY1niORcRy5EseRyDj+iozj8z0Xsdao8XW1w8/Nno1/XaVPU1/m39eClX9c4ou9l/Bzs+dIZBxDWwWg/reeZZ09ylwqO2iYqqwhQ775F0IIIYxnVL+LBQsWoFKp9B6+vr665xVFYcGCBfj7+2Nvb0/Pnj05dUr/JvPcuXN06dKFwMBAFi5cqPdcUFAQKpWK8HD9bwinT59Oz549jXxporJVhZvR6IQ0AN74+TSTPj+g99z97epwddkI2tX3NMu57Gw0NPZ35cGOQbz+UBt2zOpLzPJRnF4ylPVPd+et0W14uEs9Gvu7cuZGIo98doABb/7G139G0DXEiyvvDGfO0FBe2XyCR7o3AGDUe7+TWGChv8qk3X+qUgbxl4VyMbzQI48quKPukV9R2/I/V9Gqc1cuIYQQ1Y/RLRihoaHs3LlT97NG8990oG+88QZLly5l1apVhISE8NprrxEWFsa5c+dwdnYGYNq0aYwbN4527doxdepU+vTpQ5cuXXRl2NnZMWvWLPbu3VuW1yUEAF2iMzk4uDVLTlzl58PXiA8sfqG+PPlbQspKrVbR0NeFhr4uhZ7789xthr6zmwA3eyLvpHAtLpVXRrRk/4U7HI64Q1/gTnIG3x26wmM9Gxp9bm1ODtocpdCUveZQWVPdmktR4xOqa2tFdX1dQgghqi6jR45aWVnh6+ure3h55c7NrygKy5Yt46WXXmLEiBE0a9aML7/8ktTUVNauXas7PiEhgdatW9OiRQv8/f1JTEzUK3/KlCmEh4fzyy+/lPGliapA06FJZVeBek52JP3b1ejQnbs8c/AiD/9xVvdYcSEaRVFIydZyNC6ZuF8uEb81QvcoL10befPl4505F30XGys18zceIykti/iUTDKy/+u29b81f/PPlTijy3/kswM4PvoND3/0p64lpzzktWpYYusGmPZtv9y0CyGEEMUzOmBcuHABf39/6tWrx0MPPURERO4N2OXLl4mOjqZfv366fW1tbenRowf79+/XbVu4cCFhYWE4ODigVqvp319/HYCgoCCmTp3KnDlzyMkxvG+8EMVRFIW/Y+8Sn5nNkN9OcujOXdTkvvnTtDnMPnKZFRdv8cJfEfTbcYJH9p1HURTd8fnDhrkDx71tavN4r4akZ2lZve8ytZ5cz9XYFBr7uer28XS2ZeR7e7mdlF5CSYU91CEIgG8PXiHs9Z1kayvm82SJgcMSuhQZU0cJQEIIISqTUV2kOnTowFdffUVISAi3bt3itddeo3Pnzpw6dYro6GgAfHx89I7x8fHhypUrup8HDRpETEwMSUlJutaPgubOncvKlStZs2YN48aNM/Y1iSpI06EJGk1Ohd5w5oUBlUrFr2EtOBiThJ+9Dd18XHWDqAFm/R3BnCOXAXDQqPklKo4baZkEONiWWK65ulK9+VAbDl6K4eT1RLQ5Ct8/3Z1/rt/VPf9A+zp8svsin+2+wEvDmhtcbj1vJ93/J6ZlkS8zVShLHSBeGlOmuRVCCCFqAqMCxsCBA3X/37x5czp16kSDBg348ssv6djx337M+W7cIPfb44LbbG1tiw0XAF5eXsycOZN58+bx4IMPGlNFALK0arK05l03IK88c5db3RW6bh2aoz14pkLOnW3139Sztd1sqO2WOw4i599HntfaN6J/kC92Gg1brt7ht+gEajk5ka3Ofd+eS0zFx94aNxv91bRjduSuZ+EWFlSmelrbWrFpRj/6LNmJVptDkI87Hp4eXAVee7Adj3arw6W4TN7fFUEdX3cebF+30GeqoITUTDq+9hv29vbUcrJl4/QeYGVDVplqWjZZ+/9dQ6Qcu82V6XN67hCq+u2MO6ZuB70flYjDxp/XGEbUUfn3GqiySk+WWf/uk2XAvuI/ct1MI9fNNNXpulWH1yBKplKUsn2vGRYWRnBwMM8//zwNGjTgyJEjtG7dWvf8sGHDcHNz48svvyy1rKCgIKZPn8706dNJTk4mODiY2bNnExkZydGjR9mzZ0+JxyclJeHq6sratWtxcKi8tQOEEEIIIUTRUlNTGTNmDImJibi4FJ4ERVi+Mq2DkZGRwZkzZ+jWrRv16tXD19eXHTt26AJGZmYme/fu5fXXXze6bCcnJ15++WUWLFjA0KFDjTo2rOF5XJzsjD5nSbK0anZeDKFv8HmsNTI2xFAlXbeKasnIk7AjstR9snJymPX3ZbZci9VtC3CwISo1E7UKbNVq1MCm3s1o4Fz8e8zUVo3IO8nc984eHBwcWPDm+/RO+BErsnXPb/n7GjO/OYJGpeKdsfcwoIW/XmtGRpaWBZuOs+L3i2Rrc7872DqzN+0b1DK4DiVdp7K21hRk7taMsn5OS2sdKPcWCgOVVM+i6lja68rKUtixM5mwvk5YW5fcOib+I9fNNHLdTFOdrltSkvQGqe6MChgzZ85k6NCh1KlTh9u3b/Paa6+RlJTEhAkTUKlUTJ8+nUWLFtGwYUMaNmzIokWLcHBwYMyYMSZV7vHHH+edd95h3bp1dOjQofQD/mWtySm3EFCeZVdnRV03686NKnRMhldYIECJA7WtgPda12ZWI2+i0zJJ1+YwfPdpmrs5cl8dT149fhU7tYoJu46ytW9z3G2tiywneet53f8bM1ajYS07fp7eleEf5E6McDzyNh2C/vt2J8DViu7Bbhy5HMf97+ykVR13Gvu7YGOlISo+lZPXEkhIzeTFe5vRqo4Hw5btISU1Fet8IaUk8VsjSvyjYOrrKtbBE+UyNsPUz6mqhH+0lYvhYP4Zf01z5WCRA7mLrWMx+xdkba2y+BuXyiDXzTRy3UxTHa6bpddflM6oCHn9+nVGjx5No0aNGDFiBDY2NoSHh1O3bl0AXnjhBaZPn86TTz5J27ZtiYqKYvv27bo1MIxlbW3Nq6++Snq6cbPnCMtRGQN/DbkxDnCw5R5PZ374tyVjTH0vnm4SwK99m5OlKESnZdFl6zGG/naSH6/F6s06lZ2j3+vQ2Bmogryc2Pp8HwAGvbWL01H/TeW8bNsZ1h2I5Fx0EgBnbiRyOCKWszcScbazZnzX+vz5cn+ORMYxbNkeAJ5fd0Q3A1VWdg5R8alFnjdi8zlyjOgxaa5ZtarSTFPFDdquioO58+pU1AKCxe1vyH5CCCFEWRnVgvHNN9+U+LxKpWLBggUsWLDApMpERkYW2jZ69GhGjx5tUnnCMmg6h1b4Tab7wPoG3RyPrOvFL9fjWHjsKrEZ2Yyr700Xb1e0ikIzN0d+uxnP5P3nCx33ZddGDAzwKLS9pHPmDz6eTrkzWGVpc/jot3O8P749AO+Pb0+ghyOf77lAaqaWQA8HIu+koFGrWPV4Zxr6uvBNeCRbjlznfwOb8PbWM5y+kUjDmZvRqFXcTc9tybjw5jCCvHJnmVIUhXe3n+X5zUf4v9ZBPBbiV+p1Kfiaytqaod1/qsrMMmVJN+Cm1rXQcXUNbyEWQgghSiOd4ESN5T6wfqk3xu1qOXNgUGsmBvuw/OwNWv54hN9v5U4n+/utRC7eLdy65m1nTcdaxrfaFdUi4GxvzaGIWNIzcxcK9Hax4+0x93D+zWF0Cq7FpdvJuDvacD76Li1e+okDF2Oo9W84qePpyJbpPQFIzdTqwsXU3g2pW8sRyG3RePCDP3h+3REAWnk4YYryXJBQlL+qMrZECCFE9VCmQd5CVAf5Q0ZRN8pO1hpeaRXEjKaB7L2VSEx6Jodj7nI+KZHPOjWktacTvnY22GjMk9fjt0bkTrE7CtY/1Z3+i7dy7zu7WfZwO5oG5C7A5+Nqz54X+/HT0eu8t/0ce8/eIlur0P217ex+sS/T+jbi2dV/8VjPYOYMDeXKnRRaB3nwWM+GONr+97E/dPkOm/6+BkDH4Fq0MyEY5a83mD42oyq1YtRUSsRhFE2OLNQnhBCiTKQFQ1QJVeXGsqRWDVcbK+6t7cnkhn5429vgZmNFmjaHDVfukK7NYf/tRH66HktsRhZJmYYNqi5Nu/qebHq2B5djkmk992ceXxHO5ZhkANRqFfe2qc3O2X2JfGc4r41sCcDNhHSWPdyWDye2Z/X+y7zx82ku3U4m9m4Ghy7dIT1TS2a2lnd/Pcvney7qztUs0M1siwcKy2ZJ3cSEEEJUPdKCIUQRShujUd/ZjojkdJ45dAmApaeuk5FvcLeVCiY39ONCUhqPhfjSx8/d5Lr0bebHycVD+WT3BRb9cJKVv1+iXX1Pht9Tm96hvrSq406AuwOzhjRj1pBmuuMe69mQIa0C+enodXafjubzvRdZ8tMpbK3UeDjZcjMhDR8XO3o39WXX6Wha1XHXvXaAPWeiWfLV33zUsSFuNob9qahOYzFqOuViuLRkCCGEMIkEDFFlVMZg75Lk3SwXFTQeCPLiRmom9Z3t6OHjyqIT1ziVkMLJhNwZmjQqFZ+cvwlAmL/p4SJhRyReYYHYWmt4pl9jJnVvwE9Ho9hw+CqvbTnBi+uP4uZgQ/dG3vRs6sOA5v409P1vWls/N3se69mQx3o2JCdH4WRUArtP3+J8dBKP9QymVV0PFm46zq7T0Tz11WFe23ICLxc7ajnZsvvMLQA8woJwdfhvVfT810NaPIQQQghRkAQMIUpRVGuGg5WGF1vU0f38fodgVl2M5oW/L+NgpSY1O4fu3i78fjuJQ3eS+ObybSYF+zK6vneZ6uJkZ81DHYN4qGMQmdlaDl2KZc/ZW+w+Hc3sb/9hxpq/6dHYh0d7BjP8ntrYWv+3KIJaraJFbXda1NYPPE/0CeHo1Xh+/Oc60YnpRCf+N3D9hcFN9cJF3vUQNYO0YgghhDCFBAwhDFBSa0aeMfW8sdOoOR6fws20TAYFuHM5OYPj8SkEONjy7OFLbL52h37+Hkxu6GvwuX9c9Q+fxiWw4Znu2Fj9FxhsrDR0beRN10bezB3WnNSMbH745zqf7b7AuI/30cjXhR//14t6XiXPDOXlYseAFv78+M91HupYl5Ht6mJvo8HN0YZ29TwNrqe5SDepqiVvPIYEDSGEEIaSQd5CGKGkb+9tNGoequfNojb1WNmlEaOCvPl7aBsODGrNG/fUI9DBht3Ribx16lqhxfhKMv3wJbYdv8GZG0kl7udga8VDHYP4bU4YR14dRHZODm3n/cKnuy+Ueo57W+eucp6QmsWJ6wn0DfWjff1aqFSVs9pqVeoqJ3LJwG8hhBCGkhYMIYxk6CJ9eZIys+n4y1EAbNQqfu7TDCu1YTfuV1PSuZqSAYD6UDTxp+IN6qLUvLY7B+YPYPa3/zDty0PkKAo7Ttzkh3+uc+6Ne6nvrT8drbeLHSPa1mbjX9fYdvwGaZnZHL+WQLcQb6b0bliom1RFkJaMqke6TAkhhDCEtGAIYQJjxiE4W2tY1DqIICdbMnMUHtx7ht9vJQKQoc1hxYVo3jh5jffPRPH5+Zu8c/o6C45GAtDr1+MAdPRyJtAxdwG9ohbkK7KOjrZ8MqkjE7s14JVNx2ngndtVqtELP/DRb+dRlP9aUdRqFd8+1Z176uWuPv7OtrNkaXN4ZfNxGr3wA39djjX49ZqTtGRUPdKSIYQQojQSMIQwkSErgQOoVCoeDfHj4KDW7AxrToCDLSP3nGbs72fotu0oL/1zmTURt/ng7A0WHr/Cp+dvcuhOsu54Rys1n3YKKVSuoUHj5fuak5SWhVqtYtGo3LUynvn6MB5PfMcvR6P0gsZz/ZsA8OK9zdj2fB8uvDmMurUcmbLioN5+FUlCRtWjXAyXoCGEEKJY0kVKVClVbapaQ5S2EngelUpFCw8nNvZqyrrLt1kdcZumro6s7taYEBcH3X43UzOYffIGAMPr1OK1UD+c8s0GVVBpK2jX8XRkwfAWvLj+KPPva67bnpyezbBle/ji0U6M75p77IMdg+jR2AcfVzsA/N0deOPBNvR9fSfbjt9gYMuA0i6HqEEKhgzpPiWEEAKkBUNUQZbc796QFg21SsXY+j5s7ducVV0b6YWLk/EpdNt2jNP/rqfxVtv6JYaL/EoKN88PDmXusOa8svkEQbUcddun9GpIyzr609b6utnrDe7u3tibjsG1mPv9MTKztSSmZhpUH3OytNBZU0nLhhBCCJCAIaooTedQiw0aZVkn4tLdNJKytNxXp5ZJx5cUMubd15zxXesTczdDt23b8RuFAkYeRVHIyVFQqVS8M7Ytp28k4PTYN/g89T07Tt40uD4lPYwhIcNySNAQQoiaTQKGqNIsNWgYOj6joIEBHoyr782KC9EAzPsnkqNxyUaNfyjuxl2lUrHw/pZka3PwcLTBSq2iaYArGVnaQvv++M91ms35EdtJaxnz4R9ocxR2vNCXefe1wM/Nno9+O29yPcpCQoZlkaAhhBA1kwQMIcqRsSHDRqPm7XYN2N2/BQA7o+Ppt+ME7X7+h5f/iWT/7UQytTkm1yfA3YFn+jUmLiWT7ByFrcdv8E14JAA34lP5el8EZ6ISeeCD3zkffReA9Yeu8tgXB3QL+k3q3oADF2NKPI+h4cKUECIhw/JI0BBCiJpFAoYQ5cyU1gx/h9wpaf/o34pvujehl68bm67e4b7dpwnZdJiH9p5h+dkbnIhPIcfI2Z2eH9wUAJUK+oT68s6vZ9Dm5DD7u3+Y9NkB2s7/hRH31CZvqY7RnYL4bHIn3fEatYpsbeXMKJVHQoZlkpAhhBA1g8wiJUQFyQsZxnxrr1Gr6O3nRm8/N16/px4n4lP4/VYiv99K5I2T13jl2BVq2VrR18+dfgHu9PRxK3VQuLujLccXDcHV3prr8al0Wfgrq/ddpomfKwCZ2Tl8d+gqzQPdOHE9gRa13ejQoBY//nOdVb9f4s/zt0lIzeRqbAp1PB0LlV8eXaOKIgvxWSZZrE8IIao/CRhCVDBDp7UtSK1S0dLDiZYeTjzdJIAMbQ5/xd5l180Ett+I55vIGGzUKjp7uxCmTaNHEx/a1PXA2qpwQ6Wfqz1Lt53G3tqK2h4OfLzrAttf6ENUQipf/hFBepaWK7EpAMz57ihjO9fn5Q1HOXU9d4HAEW1r4+NiV8YroX8NTBmzIiHDMknIEEKI6k0ChrAIlrg+hiHcB9Y3OGQsO32d98/eoJ2nM8Pr1GJwoAddvF3p4u3Kyy3rcjk5nR034vkjO4PFP53kpe+PYm+jobGfK038XWga4EoTf1cCPRx59IsDnL2RhIONhsS0LJ7sG4KzvTUfjG/PB+PbE5+SwemoJBb9cAIrjQo3B2v6hvpx6VbugPM9Z25xOCKWro28zXYtTA0aEjIsk4QMIYSoviRgCItR2k1kdQwg+cVmZHM3S0tKtpanD11k1t9qBgS408nLlfa1nGnkas+sZ7swC8jKzuHIlTgOXIzhTFQiZ24k8vPRKBLTsgDwdLLl8MKBNPV35W56Ni721nrncne0pUuIFz/P7A3AtuNRvLf9LL6u9txMSKOOpy29Fu9g37z+tK9v2pS6xYnfGiEhowiGvr+r+3UQQghR9UnAENVG/hsrSwobhrZitPV04hNgZZdGpGq1bLhyh1+ux7HlWixaBdwcbOh1KYqXhjWnZR13OjSoRYcG/938K4pCdGI6R6/E0bquB75u9gCFwkVBWdk5DF26B4CbCWlo1JCckQ3AugORhQKGMa0yxSlLt6nqyJj3syWFLWnFEEKI6kkChqiW8m6wLClolCYyOQMXaw2etlY0HNSIlsBCIDk9i8MRsey/EMPaA5dpO+8XGvu50LmhF35u9ng42eLhaIOHoy0eTrY08HHGSqNCm5ODRp07PkNRFP65Es+VO8n0a+6Po+1/fxq0OfrT4vq5OpCQlruat5uDTUW9fCGEEEJYCAkYolqzlLEbhswwdScjC09bazwGNdDb7mRnTa+mvvRq6ssLg0PZcuQau05HcygiltjkDOKSM0jNLLyYHuQGBE8nG9KztETFpwHQwNuJD8a3J2RgGw6fuM7cd3bSopEvOSnpnLyewPX4VN3xr205QZsgD4a2Diz0esraiiGtF6aTVgwhhBCVSQKGqPYsqTWjpBvzUDcHPj1/k8TUTFyLaTmwtlIzsn1dRravq7c9PVNLXEoGcSmZxCXn/jc2OYP4lAxikzNRq6BnE198Xe14YtUhBr61C97apVdGwt/zCOyyiOT0bL3tI9/7nYX3t2DWkGZleOWiJJYSlIUQQgiQgCFqEEu5SXMfWJ+YHdcLbW/j6YQC7Pr2JMMfaWNUmXY2GvxtHPB3dyh13z9/ms7fJ6NITE6nfm0PbKw1BPd9m9c+2s3we+rw9b7/AlCIjzOJaVnM/f4Yj/VsiIeTrd7rqKg1MURhltSKIYQQonqRgCFqFEsJGW5hQYW2BTvbU9fRluVnb9D1Z1es8pba/ldx3ayM7Wqk0ahp37K23rZXp4cx+81tjB7SggB3e1TA9fg0zt+6C8CsIaF64SL/uU0JGdI9SgghhLBchVfgEkJUSWqViiX31OPP24mM2HOKG6kZes/Hb40o8mY+b3v+R0mKCmBPjO6Ak6MN6346TlR8GvW8nBnbuR4u9tb0bOLDq/e3LLa8iggLNeGb+prwGoUQQlQPEjBEjWPJN2p9/NzZ3CuUq8kZ9P71OOExSSaVU1rQyAsZJ89HM3bGN7S69z2SU3JnjrLSqDh7MxFnu9wG0BWPdkKlUhVbFhgXMqT1wnwsobVOCCFE9SMBQ9RIlhIyiuoq1cHLhV39WxDias9j+8+TkJld+EADlRQyzm48QNjEFaz76TiXr8cD0MTfBUWBtvU8yVHAxkpNbU9Hg85VXsHBUn6XQgghRE0hAUMIC+Rha83HHRuSps1h/tHIMpVVVGvG1dgU+r/xG7fuJOu2vTO2LWduJKHNUTgfncTV2BQcbcw7jEtaL0pWXcOUcjG8sqsghBDCjCRgiBrLUm7Wirvp9newZXrTADZeuUNadtHrXBgjL2TcTEijw4KtXIvLXe+ioY8zu18M44MdZ3X7XrqdjJVaxc3ENOKSM4osryjmDhCW8jusLHJ9hBBCVAYJGEJYsD6+7mTkKBy6c9cs5d386SI9/m87d+7mhoaPJnbg+KIhdA3xZlib3Jmlans64GpvzdjO9cjMziEhNdMs5zZ6tqsaevNs6OuuqddHCCFE5ZNpakWNZinT1hansas9XnbW/H4rkR6+bmUub9Hxq1yOye0WdXLxUBr5ueieW/JgazK1OXyx5yJuDtasP3QFgPSsnDKdU7pFGa+kxSMtNVjIit5CCFF9SAuGqPEs9YYMQKVS0c3blb23Estc1q20TD4+f1P3c7M5P7J2/2W9cz3RJ4S0LC03E9PZ+Nc1AE7+OwDcWO4D65scLiz5d2ZOch2EEEJURRIwhKDq36iVdCN+Xx1PjsensOtmQpnOcTOtcFenE9cTeHXzcWKS0jkVlUBccuF9ktONm8WqLMFC/Ee7/1SRLRiW3CInhBCiepAuUkJYuP7+7nTycmbB0Ui6+7QstMK3oULdHHixeW2Ss7W0dHdixcVo3vrlNAALN58AwNvFDgC1CnIUGNoqgLGd65nnhRioqofBqkC7/5RcJyGEEJVGWjCE+FdVvyEr7lt/lUrFwlZBnE1KY+3l2yaXb61WM71pIHNb1OVWWib7b+cu4pe3oN79besQ+++MUU+FNWbrzN58/0wPbK01xZZp6OrhwjiGtFJIS4YQQojKIgFDiHyqesgoTksPJ8L83Nh09U6Zy7p0N40X/4lE+fdnR1srOjf04rFewdTxdKRnEx/eGt2Gvs38UBfTWlJeocJSfz/mZExwKK4bVVUl62EIIUT1IAFDiAIs9Sa2i7crR2KTycop26xOkcnpuv/3cLLByc6a/RdiGPDmLpzsrPjkkQ6oVMV3w5LWivJjaliwtKAhhBDCsskYDCGKUNI0oJXJfWD9Ym/gm7g5kKbNIWD9QTp5OfN/resR6uZQYhgoqvyRwMhJ9+htP3Y1npSMbDoF15JwYcFkbIYQQoiKIAFDiBJY0joZTVwddP8fn5FN7+3HAXCy0nD83ntwKmKshKGzObWs417qPqWFi7znZWrayiUhQwghRHmTgCFEKapayCiuFcPX3obnQwO5dDeNG/mmnK3r44TXgPrY2RQ/GLusjGm5iN8aIdPUmshc70UJGUIIIcqTjMEQohpp5OrAxqux5Djb8NHEDtz5cBRH/29IlQkXZTlG5DJXMKhKoTmPrOQthBDVg7RgCGGAqtiKAYVv1Nt6OqECRravy6TuDYqd5clcyhIUpCXDdOYaI6Q7vkPzslbJaBImhBCi+pIWDCEsWMEbdH8HWwYEuPPCN0eo/eR6Pt19AUVRijlaWDpL6+akCu6oewghhKi+JGAIYSBLuZn7onMjVnVpRC9fN6Z9eYhPPz5U2VUS5UjTOdQi3psSKoQQouaQLlJCWLCiuiitj4zh2cOX2B7WnG8jY3Cy0hTblUm6KFUfpnab0nQOJUdbHjX6j4QLIYSoWaQFQwgjWMI3xbfTswBYcPQKAKFuDsXuW14rbhtKBnubn6W0aAghhKi+JGAIYaSqfvPmYJX7sd4fk0RDZ3vqONqWy3kkHFRthgSNingvS+uFEELUPNJFSohqxl6TGzBG1KlFT1/XUlfyNrablAQLy1Kw61RVD8hCCCEsn7RgCFHNRKVlolFBJy8XOnm5EJeRxcGYJH5wUrjV0lNvXwkXNUdldZ1SLoZX+DmFEEJULmnBEMKCFbWq94n4FLQKPP934TCg+XddDG2OgpOdFWv9bRnYMqDU81R2sJBv3YUQQgjLIS0YQliwom78325bn8nBvrqfXe2taV/fk+H31Eabo6DNyV0XIzk9m3vf2UP3135l8Q8nuRqbUmH1FjWLtGIIIUTNIgFDiGrGx96GicE+up8b2NuiAFHxqQxuGcAbD7Vh15y+DP635eLAxTvM23iM+9/bW2R5pbVenP4jTvcQQgghhJAuUkKYQNM51Oj1BsytpBv/Rq4OBDrYMLKuFy+2qFPkWIsuDb05cCmGyJgUrNQquoR4G12HgqHi9B9xNO3mYfDxsg5HzaFcDJcZpYQQooaQFgwhTFTVxwWkaXNwtNIARYcRtVpFl4bejO1cjwc7BhHoUXi9jJJCTHEtFoa2ZhgaLqr6dRaGk65SQghRM0jAEMICGTLoOiVbi6PVfx/xyl5UTwghhBA1gwQMIUxU2V2kSpKdo5CuVXQtGPnlBQ1DwkZJrQwldYUqrZuUdI2quaQVQwghqj8JGEJUQ9lK7kxR6lIW2Stri0ZRQcKYMRilke5RQgghhOWRgCGECapy6wWAnUaNu40VN9MySt23tJBhTGuDIeGiOrVeaPef0j2E4aQVQwghqjeZRUoII1jSjWSggy3XUzMN2jd+a4TJN/7mbLHIT1ovhBBCCMskAUMIA1hSsMgT4GjD9ZTSWzDylBQyilox3BTVqfUCJAQJIYQQRZEuUkKUwJK7vzhbaYjNyDLqmJJCREWGA7lxF0IIISyXtGAI8S9LCRKGtCRocxT23Erk/jq1zHpuc7VklETChRBCCGHZpAVD1HiW3EpRnGxFIS4ji/rOdmYv29SWjOrWPUoIIYQQRZOAIWq06hYs8thq1LhaW3HHyC5ShiqvsCCtF0IIIYTlK1PAWLx4MSqViunTp+u2TZw4EZVKpffo2LGj3nHnzp2jS5cuBAYGsnDhQr3ngoKCUKlUhIfrT2M4ffp0evbsWZbqCqFjqa0WhnZPiknPIi4zm0YuDkaVb0xwMPe+Ei5EVaVcDC/0EEIIUTyTA8bhw4f59NNPadGiRaHnBgwYwM2bN3WPX375Re/5adOmMW7cOLZs2cKPP/7Ivn379J63s7Nj1qxZplZNiBJZYrAw1pnEVACauBoXMIxlSHCQcCEsVUlhQrkYjhJxuIJrJIQQlsGkgJGcnMzYsWP57LPPcHd3L/S8ra0tvr6+uoeHh/48+QkJCbRu3ZoWLVrg7+9PYmKi3vNTpkwhPDy8UDARoqxqQrgAOJ2Qgp1GRT0nw8dgmLvbk/vA+jLuQlgkY1spJGgIIYQ+kwLGtGnTGDx4MH379i3y+T179uDt7U1ISAiPPfYYt2/f1nt+4cKFhIWF4eDggFqtpn///nrPBwUFMXXqVObMmUNOTo4pVRSiEEsPF8bM3nQmMZVGLg5o1CqD9jc1CBRXJ2PKk9aLmkcV3LH0nSqJqd2fpNuUEEL8x+hpar/55huOHDnC4cNFf2MzcOBARo0aRd26dbl8+TIvv/wyvXv35u+//8bW1haAQYMGERMTQ1JSEl5eXkWWM3fuXFauXMmaNWsYN26csdUUQo+lhwtjnU5Ipalb+XaPknAhLFF5BgHlYniVDk9CCFFRjAoY165d49lnn2X79u3Y2RXd9eLBBx/U/X+zZs1o27YtdevW5eeff2bEiBG652xtbYsNFwBeXl7MnDmTefPm6ZVpiCytmiyteSfIyivP3OVWd+a4btqDZ9B0aGLysbksa8mX7H/rm52v3tlWNgYdq81RuJqlMMrb3aBj3MKCMHauqYQdkVBE2caUpenQhBytkScuhXxOTVPR102VpVTIefLod2Ey32ss8rqdO4SqfjuznaM6yvr3959Vwe8DS1edrlt1eA2iZCpFUQz+LW/evJnhw4ej0Wh027RaLSqVCrVaTUZGht5zeRo2bMijjz5q0MDtoKAgpk+fzvTp00lOTiY4OJjZs2cTGRnJ0aNH2bNnT7HHJiUl4erqytq1a3FwKN9vb4UQQgghhPFSU1MZM2YMiYmJuLi4VHZ1RDkw6mvdPn36cOLECb1tjzzyCI0bN2bWrFlFhovY2FiuXbuGn5+f0ZVzcnLi5ZdfZsGCBQwdOtTg48IansfFiMGthsjSqtl5MYS+weex1si4EEOV9br91wLxn/ytGXnPF7XNkmVjxS63ofRO+BErsnNbDAy0LSqOaQcvcnBwa2rZWpe6v1tYkMFll1YPQ8sytUWqNNX5c2rq+9qQa12R162ivt2viIHXJV03acUoXlaWwo6dyYT1dcLa2rBxYqJ6XbekJGllru6MChjOzs40a9ZMb5ujoyOenp40a9aM5ORkFixYwP3334+fnx+RkZG8+OKL1KpVi+HDh5tUwccff5x33nmHdevW0aFDB4OOsdbklNs/kuVZdnVmynXT7j9VdGeGg/+FXHVJ26oBK7KxJhur7EyDjzkVE49jTja+GgUMOM6abIPKjd8aUeofjOSt5w2blracP0PV7XNa7GfBEP9+NgwZ71IR101VATdGysVwKPx9V7kp8rpdOSjjMUphba2y+BvlylAdrpul11+Uzqz3YhqNhhMnTjBs2DBCQkKYMGECISEhHDhwAGdnZ5PKtLa25tVXXyU9Pd2cVRVVXE0blF0SY2aPAsjU5uBgZdhHW6aRrfrM9VmoKotLltcga1kETwghqo4yj3zNPybC3t6eX3/9tUzlRUZGFto2evRoRo8eXaZyhbBECTsijf6Q+jvYcjMtkxxFQa2Sb4ksnaZzaJUIBuZkrtmWJEwIIUTVZFlT64gaobrdTFW07BwFKzMHC2NbUYR55XVvMsdnQ7v/lEVPDyyhQgghqj4JGEbSHjyDukCfdUv+x7oqkWBhHueTUgl2tpfWi2rIXK0ZVSFkmNKKIeFCCCEsQ3UaD1uuSprBRW6MTZfXL1yuoT5jZo0qitbw2aeFhdF0DjVLOKgKnzlDA4OMrRBCCMsiAcMMKvubQEskoaL8OFhpuJGWUdnVEOWsuvzdKS04SLAQQgjLIwHDQMXNJV9d/pGvSBIsSlaW8Q4x6Vl8dekW4xv4mLFGorqq6p9FCRdCCGGZZAyGiSRYGK+q38xUByfiU0jT5jCufukBw9Apao0JPDLtbcUyx5gM7f5T0KG5mWpkmvzjMSRUCCGE5ZOAYSRNhyblvkiYqLnKOlvTjdQMVIC/g415KiRqBO3BM+DWuFLrUB2Dhbmm4xVCCEtTLbtIaQ+erewqiAJKGiQvcpljKtiotEy87ayxVpvvoy2tEkKYrjoGJyGEKE21DBhgWd1xZCYlYa51Jm6kZhDgYGuWsvKTkFF1mbO7pnwRIIQQwhyqdRepqjDXe1FKChJ5z1XFeouqLyY9C29763IpOy9kFBeGJIRUD1X176Ylk65SQoiaptq2YOSx1FYBS623MJ45V8m+m6XF2UpjtvKK4j6wvu4hhBBCCFFQtQ8YULXWXDCmHlWlzsJypGRrcbIu34CRn4SNqsHcLQ7yt0cIIURZ1IiAkaeyg4Yp57b08RnSp7tk5my9AEjO1uJUzi0YomqSkFG1yWBvIURNUq3HYBQn/z+cltTXuOA/+JZUd1ExkrNycJSAUWOZY12M/GQ8hhBCCFPUqBaMylJeLRBV+RtGS251sVQp2VruZmVXaBcpU8gNa/mS6yuEEKKy1fiAUZ43wTXxJrsmvmZTmbt71GvHrqJRq+jp62rWcoXlkZAhhBCiMtX4gFFeKuomuyrdzFelutQ0N1Mz+DriFtObBBDi4lDq/jIou/ozR8iQoCKEEMIUNXIMRkGW3s+4ouovAcJ8zN168eWlW9hq1Exu6GvWcoVlM/eYDCGEEMIQEjDMrDr+Y14dX1N1kqMoLD0dBcDphFQ6eLlUco2KZ8lB3lLlXXNjP8fyuxJCCGEqCRiY7x/S6ngjXh1fU2Uzd+vFh+du6P7/dGLVDhii8uT/O1fc51rToQkaTU5FValGkZW8hRA1iQQMM6gKN+Hl0U2qKrwuUbLLyeksPHaV1h6OTG8ayMAAj1KPkfEXouDfihytGs5VUmVqAAkXQoiapsYHjLLclFfnG/Dq/Noqk7lbL366Fou9Rs3GXqGy/oUQVZCECyFETVTjA4YpqurNt6mtGFX19YjS/XQ9lt5+bhIuhKiilIvhEjKEEDWOBAwjaQ+eqdJz+xoSMiRQVA5zt15cS8ngn7gUpoT4m7VcIYR5KRfDAWnNEELUHDU6YBhzI67FCtwal3eVzKJgyJBAUT39dD0WW7WKMH+3yq6KEMIA5d2aIa0lQoiqokYHjOJUhxvy6vAaRPGycxTWRtyml68bztbGfYzjt0bIQG8hKkl5hYC8VhJztJbklVHWcoQQNVdV7u1T7oq6CZcbc1EezN09an1kDOeT0pgRGmjWcoUQVVf+G/+KOkdFnFMIUf3U6IABuYEi/0MIS/D91Tt09XGllYeTScebO/AYSj5jQph2016whaKgvJYGVXBHk1sdiitbuRguQUMIYRTpIiWEBTj9R5zu/7WKwv5biYx18tTb3rRb6WtgCCGqBkO7ShV1Y1/cseYOFoaeVwghCqrxLRhCVHX5QwSARqWil70zm1LiuaPN1tuv4L4lqaxWDCGEYUq68TdHq4K0TAghyosEDCHKWXncyD/t6oO1SsW7ibcKPWdMyBBCVB5zdEkyNiTk7S/BQghRnqSLlBAWyFWt4TEXL15PiOZqdiZ1rGz0nj/9R5x0mRLCApjrRl8CgxCiKpEWDCGqsHMH4ot9rqedMwCnM9OKfN6Qloyq1E2q4IQLMiBciKpHgowQwhASMIQoR+V1Ax91Q+FytBYAZ7Wm2P0sobtUSWFCQoYQQghheSRgCGGhUsgBICOu5I+xJYSMkkjIEKJqkVYMIURpJGAIUYU16uRe7HOZ/wYMK3JbNEpSVUKGpnOoScdJyBCiapGQIYQoiQQMIcpJeY9vqIU1ADfJAkwPGVVpHEZJJGQIUbVIyBBCFEcChhAWygkNdbHlGCm6baWFjMpkautFfhIyhKhaJGQIIYoiAUMIC9YGR46SQja5wSLAX1Xi/pXVilFSuDA2eEjIEEIIIao2CRhClBP3gfXL/RztcCaVHDY43MbPz7Bjqsp4jPw0nUPN0sIhhKh40oohhChIAoYQFiivpaKzvx3Pu/rwY2oibyREo1VM7yJVXq0YxgQHQ/eVVgwhqhYJGUKI/CRgCGGh8kLGYEc3XnLzY1taEjvTkspUZnmEDGPDgLRmCCGEEJZNAoYQ1UBfBxecVGric7QG7V/R3aRMaXGQkCGEEEJYJgkYQlRxTbt5lLpPdHYWyUoOnmqrCqiRaUpasbs4xYUMCR9CCCFE1VV170aEEAY7lJE7Va2bWlPmsuK3RpTrAHXt/lPlMi5DCFF5VMEdK7sKQogqRFowhCgnFbmAXU97Z1rY2PNiXBSRWRkGHVOZs0nJIG0hhBCi+pKAIUQ5MWcrQGndpFzUGt70DMRNrWFtctWbhrYoEjKEsGyq4I66hxBC5CcBQ4hyVBFrYeSxVakZ7ujG7rS7pOfkVNh5y8KUcRlCiMqRP1BIqBBClETGYAhRjXSxc+LTu3c4lplGBztHk8sxdByGId3ADCnH2HEZQgghhKi6pAVDiHJmrlYMQ2aTqmNlg7fGir//HfRdXuK3Rhg8xsTQfaUlQ4iqS1oshBDGkIAhRDWiUqnw01gTl5Nd5rKKCgXGBAtTSMgQomqSlbqFEMaQgCFENZKtKFzOysBXY22W8vIHCkODxek/4oqcocrQ4yVkCCGEEJZNxmAIUQHcB9avkGlrT2SmkaTk0NXO2aD9T/8RZ1DXq6LqXto0t0WVXd5rbAghyo9yMVy6SgkhDCIBQ4hq5M/0u9RSW9HI2rZcz1Pea2jIoG8hqqa8rlISNISwXDNmzDD6mLlz5+LhUfoXknkkYAhRjRzNSKO9nSMqlcqg/Q1pvSioohbok5AhRNUlQUMIy7Vs2TI6deqEjY2NQfv/+eefPPXUUxIwhKiumnbzKPEGX60CawwLF5ZAQoawBKr67VBZ//e5kwHRQoiqbtOmTXh7exu0r7OzYd2u85NB3kJUI7aoyFDKb5G9imq9yE8GfYuqRrfYXP12JT5fE0iYEsLyrFy5EldXV4P3/+STT/Dx8THqHBIwhKgmchSFuBwtVgZ2j6ospgx2lxW/RVVgbHCoKUFDQoYQlmXChAnY2ho+VnPMmDE4Ohq3eK90kRKigphrJqnixk1si4rjxs0sPutUm6a1jG/ONDdTxneUJi9kSLcpIYQQwrySk5PJydHvBeHi4mJSWdKCIUQ1oCgKC49doZGLPe2qQLgob9KaIUTVIq0YQlimy5cvM3jwYBwdHXF1dcXd3R13d3fc3Nxwd3c3uVxpwRCiApXXehifno/m4t10mrg6mL1sU5RH60VBMgBcVKSa0NVJCFHzjB07FoAVK1bg4+Nj8CyUpZGAIYSFu5iUxstHIwF4qrF/5VYGw8JF/pAlC+8JS2DKtKzyrb4Qoqo7fvw4f//9N40aNTJrudJFSggLt/5KDDZqFau6NGJ4nVqVXR2jxW+NMLlVR7pKiYqmXAw3KDhIuBBCWIJ27dpx7do1s5crLRhCVDBzdpPK1OawNuI2o+t5Myiw/LsllbYOR1m6RuVdE2NbNKSrlKgMysVwFK0aaIwScRhFk4MquKMECyGERfn888+ZOnUqUVFRNGvWDGtra73nW7RoYVK5EjCEsGBbo+K4lZ7Fow19zV52/hv98hg3Upz4rRESMoRFqsnhQsaoCGGZYmJiuHTpEo888ohum0qlQlEUVCoVWq3WpHKli5QQlcBc4w5SsnOnkwtysjNLecXJX9/iWinMObDb1LUyhBBCCGG4SZMm0bp1aw4cOEBERASXL1/W+6+ppAVDCAtWxzF3oZwrKemEuJTvDFL5u3aVJUwU7GJVXFmmdJnSHjwDbo1NrpsQQghRk1y5coUffviB4OBgs5ZbphaMxYsXo1KpmD59um6boigsWLAAf39/7O3t6dmzJ6dO6X+zeO7cObp06UJgYCALFy7Uey4oKAiVSkV4uH5T8/Tp0+nZs2dZqitEtdPSwxGNCvbfTir03Ok/4go9jGHublHF1aG0ulVk9ywhhBCiJunduzfHjh0ze7kmt2AcPnyYTz/9tNDgjzfeeIOlS5eyatUqQkJCeO211wgLC+PcuXM4O+cuADZt2jTGjRtHu3btmDp1Kn369KFLly66Muzs7Jg1axZ79+41tXpC1AjO1la0r+XMB2dv4HYlhxCbkrtKnf4jrkytD6YOUDck3JRUN2PHZWgPnsG6s3mn3BNCCCGqm6FDh/Lcc89x4sQJmjdvXmiQ97333mtSuSa1YCQnJzN27Fg+++wzvVX+FEVh2bJlvPTSS4wYMYJmzZrx5Zdfkpqaytq1a3X7JSQk0Lp1a1q0aIG/vz+JiYl65U+ZMoXw8HB++eUXk16UEDXJO+0aYJsJ0+5c5fvkeBRFKXZfY8NFUWGiPNetkJYMISxTTR7gLoQlmzp1KtevX2fhwoWMGjWK++67T/cYPny4yeWaFDCmTZvG4MGD6du3r972y5cvEx0dTb9+/XTbbG1t6dGjB/v379dtW7hwIWFhYTg4OKBWq+nfv79eOUFBQUydOpU5c+aQk5NjShWFqDHSj6axvFYdhjm68UHSbV6KiyLdgj835goZMuhbCCGEKFlOTk6xD1NnkAITAsY333zDkSNHWLx4caHnoqOjAfDx8dHb7uPjo3sOYNCgQcTExHDjxg02bdqERqMpVNbcuXO5fPkya9asMbaKQtQ4Nio1T7l6s8gjgCOZqbwcH0Wmoh8yzDnLkzFKCgxRNxTdo+AxxR0nIUMIIYSo2owag3Ht2jWeffZZtm/fjp1d8X29VSqV3s95c+nmZ2tri5eXV7FleHl5MXPmTObNm8eDDz5oTDXJQkOWmSfIyv63vGyZeMsoct2Kl21lU+xz2n+f05awD8C5A/FgZ6v7uZOdLYvs7VkQd4Ml6QnMcfPF6t/PXknnK0nMjuu4hQXpfk7YEQkFysr/vG6ffyn56pfnxs1/A4X9f9ui4sHfT//vxKnDKTTq5E5BBeuUp6j3W45WZuMuTda/1yhLrpVR5LrpU2UV3z0zv6x/98sycH+Rqzpdt+rwGqqTQ4cOsWfPHm7fvl2o59DSpUtNKlOllNRhu4DNmzczfPhwvRYHrVaLSqVCrVZz7tw5goODOXLkCK1bt9btM2zYMNzc3Pjyyy9LPUdQUBDTp09n+vTpJCcnExwczOzZs4mMjOTo0aPs2bOn2GOTkpJwdXVl7dq1ODiU75SdQgghhBDCeKmpqYwZM4bExERcXFwquzo12qJFi5g7dy6NGjXCx8dHr0FApVKxa9cuk8o16mvlPn36cOLECb1tjzzyCI0bN2bWrFnUr18fX19fduzYoQsYmZmZ7N27l9dff93oyjk5OfHyyy+zYMEChg4davBxvRN/xCXTtG9ri5ONFbvchtI74UesyDZr2dWZXLeS5f+mPz+tlQ1/D5/GPZuWo8nOLLWccwfi9X5u1MmdbVFxPH3oIlNC/JkZGlimehbVWlCS/K+rYN10rRelKNiaUVRLRsG6Ffd+03RoYtA5a6osrZqdF0PoG3wea43ljt+paHLd/qOq387gfbOyFHbsTCasrxPW1qrSDxBA9bpuSUnS6ldVvPvuu6xYsYKJEyeatVyjAoazszPNmjXT2+bo6Iinp6du+/Tp01m0aBENGzakYcOGLFq0CAcHB8aMGWNSBR9//HHeeecd1q1bR4cOHQw6xhot1uV0M2tFdrmVXZ3JdSuaV1hgiWMKNNmZWBkQMELbOepvyM5kiI8T5+rX4u1jEYz0cybYxb7ogw1g7O8uf51V6Rn6T6YZFjBuRECA/3//iJ7fHV3kOJKi6lbo/XbwBJrOoQadtyaz1uTU+BtlU8h1A5UJN7zW1iqLv1GuDNXhull6/asTtVqtt1SE2co1d4EvvPAC06dP58knn6Rt27ZERUWxfft23RoYxrK2tubVV18lPT3dzDUVomooz2lfn2rsj4u1hm8jY8rtHEXJ/5rKMri8qMHfBRk66FsGfAtRPlTBHSu7CkIIEz333HMsX77c7OWWeeRtwTERKpWKBQsWsGDBApPKi4yMLLRt9OjRjB492qTyhLAEpi5gVxpbjZp+/u78cj2Ol1rUMbkcYxe6K0mAv6pQcChJ1A1FryWjqAX5zFk/IYThJFwIYdlmzpzJ4MGDadCgAU2bNi200N7GjRtNKlc6wQlRzYX5u3Phbhq30krvalWSsgQgc0+Ra2pLhrRiCGE+Ei6EsHxPP/00u3fvJiQkBE9PT1xdXfUeppK5Q4WoIsqrFcPHPnfCg/jMbN3/m8qYloKSXk9ZWzGg6JaMhB2RMMrgYoUQQoga7auvvmLDhg0MHjzYrOVKC4YQVUh5dPOJSs0dZO1qXXhBS1OYGoIKhoGCgaE0RQWSkhbxK460YojypAruWOhRHVXX1yVETePh4UGDBg3MXq4EDCGqGHOHjJ034mnq6oCfQ+EF7ypaRYWM4qb/FaK8KRfDCz2qGwkXQlQfCxYsYP78+aSmppq1XOkiJUQVZOy6EyW5dDedICc7s5VnjKK6STXt5qEXCszRXUoIUTEkXAhRvbz33ntcunQJHx8fgoKCCg3yPnLkiEnlSsAQopobFOjBW6eukZCZjZtN1fjImztkGDuzlHb/KVkXQwgjSbgQNVF3lSvxZHM8J1lvlevq4r777iuXcqvG3YYQokhuYUFYk12mwd8PBnmx+MRVNly5w+SGvmasXdmUNWQUdPqPOEJ6VZ3XJ0R1IuFC1ETh4eEc4i62qNm0aRMjRoyo7CqZ3fz588ulXBmDIYQFcB9Y3+SxGT72NvTzd2d1xC0UxfQb+PyMCTwl1dvc09cWVB6zcgkhhKj+FEVhYqfeDMKdkXgy7f6HyMrKquxqWQwJGEJYEFNDxqggL04lpHKjjGthmMrQehsztqKo1o5zB+INPl5mkxJCCFGcLVu2cJNMBuNBT1xRo+Ixm8DKrpZZeHh4cOfOHYP3r1OnDleuXDHqHNJFSggLY8p6GXUdcwd530rLJMBMs0mZa/Vsc3eVEkIIIcoiKyuLJ4c/wP14Yv/vd/EPUYvPucV7SUm4uLgYXNZHH33ERx99RGRkJAChoaHMmzePgQMHFrn/xo0b+eijjzh69CgZGRmEhoayYMEC+vfvX+bXlSchIYGtW7cavJBebGwsWq3WqHNIwBDCAhkbMrztcmeFiEmvvOZdY+qc15JRWtAwZEYpcwUhIWoqGX8hapop/7ZU9OS/G/A2OOKPDeNd67FZiTW4rMDAQJYsWUJwcDAAX375JcOGDeOff/4hNLTwZCO///47YWFhLFq0CDc3N1auXMnQoUM5ePAgrVu3LuMr+8+ECRPMVlZRJGAIYaHy3zSXduPuaWuNnUbF6ojbdPNxxcHKfIvulUcrRh5DWjNk2lohhBDmcvfuXTYQy2R8sOK/f1tUqBiDF//HNaKioggICDCovKFDh+r9/H//93989NFHhIeHFxkwli1bpvfzokWL2LJlCz/++KPZAkZOTo5ZyimJjMEQohoo7SbfSq3i444h/HErkWG7TnHz39W9zcFcA76LE+CvMjpAFByLUVwdZRyGEEKI/Ca4BOGHDffgWOi5BtjRBidGBzYhKSlJ75GRUfq/q1qtlm+++YaUlBQ6depkUH1ycnK4e/cuHh7lOymKuUnAEKKaKG2mqUGBHvzYpxkx6Vn033mCY3HJZju3OWZrKm1GqZKChozZEEIIYQ7nSedeVxcC/dW6f3fyP4Z7uPIPKbi6uuo9Fi9eXGyZJ06cwMnJCVtbW6ZOncqmTZto2rSpQfV5++23SUlJ4YEHHjDXS6wQEjCEqGZKChnN3R35Naw5/va23LvrFL9cL9wtqbyVtUuVoa0ZBbtcyZS1QgghSuPbpxPqEhbUU6vAPySYxMREvcecOXOKPaZRo0YcPXqU8PBwnnjiCSZMmMDp06dLrcu6detYsGAB3377Ld7e3ia9nsoiAUOIaqik1gwfexs29WpKXz83Ht1/nq1RFR8yilPe62IURbpJCSGEMIZKpcLFxUXvYWtb/AyNNjY2BAcH07ZtWxYvXkzLli159913SzzHt99+y+TJk/nuu+/o27evuV9CuZOAIUQ1VlzQsLfS8EmnEAYGuPPY/vNsM0PIMFcLgakhoyzdpCRkCCGEqCiKopQ4ZmPdunVMnDiRtWvXMnjw4AqsmflIwBCiBigqZFipVXzcqSG9/dwY/+c5Htp7hqNlHJdhSMgwZB9ztWRINykhhBCV6cUXX+SPP/4gMjKSEydO8NJLL7Fnzx7Gjh0LwJw5cxg/frxu/3Xr1jF+/HjefvttOnbsSHR0NNHR0SQmJpZL/Xr27MlXX31FWlqaWcuVgCFEDWatVrOqSyM+69SQaykZ9NtxgjURt0wuz5DxFYaOwTAlZNy4Ka0YQgghqo5bt24xbtw4GjVqRJ8+fTh48CDbtm0jLCwMgJs3b3L16lXd/p988gnZ2dlMmzYNPz8/3ePZZ58tl/rdc889vPDCC/j6+vLYY48RHh5ulnIlYAhRQxR3Y69WqRhWpxa/D2jJ8DqeLD5xjdRs41bsLC/maMkwphVDQkb1JAvFmU6unRBl88UXXxAZGUlGRga3b99m586dunABsGrVKvbs2aP7ec+ePSiKUuixatWqcqnf22+/TVRUFF999RUxMTF0796dpk2b8tZbb3HrlulfOErAEKIGKan1QKNWMad5HeIysnnh78vEZpTfqt8VNZNUHukqJYRxVMEdJVwIUUNoNBqGDRvG5s2biYqKYsyYMbz88svUrl2b++67j127dhldpgQMIWqYkm7ug5zseLV1EN9FxtBk81/EpBseMowNDeXZVaospBWjepGbZONIsBCi5jp06BDz5s3jrbfewtvbmzlz5uDt7c3QoUOZOXOmUWVJwBCiBsqbXSr/I8/khr40cbUHIHTLX8WWEZuRxamEFDK1OWWqR0WRrlI1k3IxHOWiefoUV2cSLISomW7fvs3bb79Ns2bN6NatGzExMXzzzTdERkbyyiuv8Omnn7JlyxY+/vhjo8q1Kqf6CiEsjPvA+rqb7lYeTpxJzJ1R4nJyOvWc7HT7KYrCjMMRfHclhqwcBV97a14Y0YKHktL54Z/rLN95DlsrDdP7NyY00I3UzGxU5HZpstaoaFHbHbVaVeR5i9O0m0ehgBDgrzJ6atrTf8TptYjEb42o0JAjRGWTECGEyC8wMJAGDRowadIkJk6ciJeXV6F92rdvT7t27YwqVwKGEKKQgzF3AfCzt8HZSqP3XEp2Dmsu32ZiAx/GP9CcZ77+ixlr/mbGmr/19nv4433Fln96yVAa+rqUuZ7FhYwbNxUC3A0ro7iQod1/Ck3n0LJWUYgqQYKFEKIov/32G926dStxHxcXF3bv3m1UudJFSgih4z6wPslZWiKS0wFIzMxm4M4T/HXnrm6fhMxsAPqEBbNs21lOXk/QPde8thsj29VhUEt/gmo56pXdLNCNtvU86dXEh1rO+iueGtKKUNxYjLIO+AYZ9C2qr/Lq+iRdz4SoHkoLF6aSFgwhhJ7AocHMv3SLQYG5N/RPHrjAkF0neTDIizH1vHG3zf2z8fPRKH745zrT+zdm0ajWWFuV7fsKU7tKwX8hIyo+92d/PxWkF19Owa5SxZFWDGGppMVCiKph8eLFbNy4kbNnz2Jvb0/nzp15/fXXadSokUHH79u3jx49etCsWTOOHj1qljq1bt0alcqwL+eOHDli0jkkYAgh9KhUKuY+1xXI/Wb/hz6hfHXpFktPR7HucgwNvJ0AqO3hQIva7uw4eZM3HmpjlnPntWSUFDSKCxmQGywMXevU0PEYEjKEJanoYKFcDJcwI0QJ9u7dy7Rp02jXrh3Z2dm89NJL9OvXj9OnT+Po6FjisYmJiYwfP54+ffqUaU2Kgu677z6zlVUcCRhCiGLl3XBP3qrmuac6ceDiHUYv/wOAN385Teu6Hhy/lsiu09H0CfUz63lNDRnGkEHfojqRG30hqp5t27bp/bxy5Uq8vb35+++/6d69e4nHTpkyhTFjxqDRaNi8ebPZ6jR//nyzlVUcGYMhhCiV+8D6aNRquoZ4M2NgU932q7EpdG/kzdCle/jpn+tmP2dJmnbzqLA1MmTaWlHVSbgQouIoikJSUpLeIyMjw6BjExNz29k9PEr+92vlypVcunSpQsJAeZCAIYQwip9b7hoZbzzUhviUTFY93pm+ob48+eUhktLMu/p3WQZ/G8rQ9TEkZIiqzNgB1+YapC3BRlRHASGOui+xCj7qNnMmNjYWV1dXvcfixYtLLVdRFGbMmEHXrl1p1qxZsftduHCB2bNns2bNGqysyrezkVar5a233qJ9+/b4+vri4eGh9zCVBAwhhFG8/p0BqlOwF7Wcben/xm8MbBlAfEom7/56xuznK7gQYFEkZAhRfMjICxP5HwWfM5YszCdqMk9PTxITE/Uec+bMKfW4p556iuPHj7Nu3bpi99FqtYwZM4ZXXnmFkJAQc1a7SK+88gpLly7lgQceIDExkRkzZjBixAjUajULFiwwuVwJGEIIo1ipc/9sONtb8fvcfrg72vDM14dJz9Ly/o5zRMWnlst5yztkGEpChqjKSgoThhwnhCidSqXCxcVF72Fra1viMU8//TQ//PADu3fvJjAwsNj97t69y19//cVTTz2FlZUVVlZWLFy4kGPHjmFlZcWuXbvM+lrWrFnDZ599xsyZM7GysmL06NF8/vnnzJs3j/Bw0/8mSMAQQhilVV133B1t+Pi38zTwdmbfvAF8+XhnAOJTMnli5cFyO3dpIaNRJwNX1yuCoa0YICFDCCGEYRRF4amnnmLjxo3s2rWLevXqlbi/i4sLJ06c4OjRo7rH1KlTadSoEUePHqVDhw5mrV90dDTNmzcHwMnJSTdGZMiQIfz8888mlysBQwhhFFcHG14Y3JTP917k4q3cBfjGdK7HP68NZvaQUB7p3qBcF64zpMuUuUjIEDWNtGIIYV7Tpk1j9erVrF27FmdnZ6Kjo4mOjiYtLU23z5w5cxg/fjwAarWaZs2a6T28vb2xs7OjWbNmpU5ta6zAwEBu3rwJQHBwMNu3bwfg8OHDpbbKlEQChhDCaNP6NsLD0ZYv9l4Ecm/EA07EMcPRhZ4x2bpt+R/mVlLIKEtLhhA1nYQMIczno48+IjExkZ49e+Ln56d7fPvtt7p9bt68ydWrVyulfsOHD+e3334D4Nlnn+Xll1+mYcOGjB8/nkmTJplcrqyDIYQwmr2NFY38XLh86rbB4aE81pgoab2MvDEZZV0vo6R6yyJ8oroyZgG9vEAig76FKExRlFL3WbVqVYnPL1iwoEwDrkuyZMkS3f+PHDmSwMBA9u/fT3BwMPfee6/J5UoLhhDCJK4p2dxIzTDoj2ee8mrJKCm4GDP4u7gwIl2lhChawRmphBCWrWPHjsyYMaNM4QKkBUMIYaLevm7M+CuCV49f5eUWdVCpVKUeU55jJ9wH1iermD9p5mrNEKImMaYVQwhhuaKioti3bx+3b98mJydH77lnnnnGpDIlYAghjBa/NYKHG/iQqs1h7j+RJGVpeb1NPTTq0kNGZWrazcPkkCFdpURNVFrIUAV3LNSKIaFECMuxcuVKpk6dio2NDZ6ennpfFqpUKpMDhnSREkKY7PEQP95r34DVEbeYdvAC0WmZRnWZKi9uYUHFhoHSukyVFECkq5QQQojqZN68ecybN4/ExEQiIyO5fPmy7hERYXq3ZmnBEEKUyUP1vHG00jA1/AIbr8biaWtFUzdHmro6MDjQg45eLkD5do8qTnGDwMvSklESackQQghhSVJTU3nooYdQq83b5iAtGEKIMhta25O/h7RhVZdGTAr2xdlKw8/XYxm55zSH7tytlHCRx9SWDCGEEKK6mzx5MuvXrzd7uRIwhBBGK2rmJl97GwYFevB8s9qs6tqI8EGtaePpxBP/RJCTU7ndpkoKGeYOGtJVSgghRH6///47Q4cOxd/fH5VKxebNm0s9JiMjg5deeom6detia2tLgwYNWLFihdnrtnjxYvbu3UvPnj15+umnmTFjht7DVNJFSghhsrwb96K6IfkMCWZuHQeGLN3NldgU6nk5VXT19JhrzYzyWM9DCCFE9ZWSkkLLli155JFHuP/++w065oEHHuDWrVt88cUXBAcHc/v2bbKzs81et0WLFvHrr7/SqFEjgEKDvE0lAUMIUWbF3XDHp2YCkJGlLVP5ms6hZmkZKClkgPm6TclYDFFTyQxSQhQ2cOBABg4caPD+27ZtY+/evURERODhkfvvUlBQULnUbenSpaxYsYKJEyeatVzpIiWEKBcRt+/ywjdHGNjCn0Z+LmUuT9M5tNDDFBXR+iDhQtQUBRfXk8X2RE2gKApJSUl6j4yMDLOV/8MPP9C2bVveeOMNAgICCAkJYebMmaSlpZntHHlsbW3p0qWL2cuVgCGEMLvk9CzCXt+Jk60Vn0zqWKZmVih+XIOpQUO6OAlhuOJCg4QJUV05NPfSjTUs+HBu70dsbCyurq56j8WLF5vt/BEREfz555+cPHmSTZs2sWzZMr7//numTZtmtnPkefbZZ3n//ffNXq50kRJCmN3V2FSuxqby6wt98HOzL/fz5YWMHK0azhl2TGndpUoi4zBETSfhQtRknp6ehdaIsLW1NVv5OTk5qFQq1qxZg6urK5DblWnkyJEsX74ce3vz/bt66NAhdu3axU8//URoaCjW1tZ6z2/cuNGkciVgiGqj4DfZMptP5YjfGgGpuU3FsQeiiL+SapabcWPGNWg6NIGDJ0rdrywho9hzS/coIYSo1lQqFS4uZe/6Wxw/Pz8CAgJ04QKgSZMmKIrC9evXadiwodnO5ebmxogRI8xWXh4JGKJakHBRtXjaWuOgUXMqIZW+/u66m/iyBg2jQsa/+5X2XjAlZEjrhagpihq0La0XQpSvLl26sH79epKTk3Fyyp2B8fz586jVagIDA816rpUrV5q1vDwyBkNYPPnGuOrIu1G30ajp4+fG1xG3uJaSUej5sjA2PBry/ihqXQ8hajqZEUoI80hOTubo0aMcPXoUgMuXL3P06FGuXr0KwJw5cxg/frxu/zFjxuDp6ckjjzzC6dOn+f3333n++eeZNGmSWbtH5RcTE8Off/7Jvn37iImJKXN5EjCERZNwUXUUDA8vtqgDQP8dxzkYk1TsfqYorxYqCRqiIqmCO1a5m/i8OhVXr9JaL6ra6xGiKvjrr79o3bo1rVu3BmDGjBm0bt2aefPmAXDz5k1d2ABwcnJix44dJCQk0LZtW8aOHcvQoUN57733zF63lJQUJk2ahJ+fH927d6dbt274+/szefJkUlNTTS5XAoawWMWFC+keVTU0cLbn17DmNHSx5/49p/nm8m3dc+Ye91AaY4NoSSFDAogwt6pyU15V6iFEddOzZ08URSn0WLVqFQCrVq1iz549esc0btyYHTt2kJqayrVr13j77bfLpfVixowZ7N27lx9//JGEhAQSEhLYsmULe/fu5X//+5/J5UrAEBZJWi6qnqJuvD1trVnfoymj6nrxzKFLrIm4pXvOkkJG/ikKzXkOIaBqjGkwR7iQgCKE5dmwYQNffPEFAwcOxMXFBRcXFwYNGsRnn33G999/b3K5MshbVCvSelH12GjULG1XH2u1ipl/ReBnb0NvP/fKrpZBpLVCCH2q4I5FBiIJF0JYptTU/2fvvsOauv44jr/DRhEUkaUC4lZErXvVvbetu666Z9U6a911j1q1Wq17t9Vqte69se5Vxb3FhYriACG/P/hBGYFsksD39Tw8anLvuSeXCOeTs97h4eGR5HF3d3cZIiXSl/ifEkcdu5zgS5gnhULBxM9yUcMrC52PXeNC6FtAv14MXb7f0sMgzIk59FwYgoQLISxXuXLlGD16NB8+fIh77P3794wdO5Zy5crpXK4EDGFRpIFo3lL6xN/GSsEv5fKSz9mRNoev8uR9BGD+Q6WEMCZLDBnxA4WECyEs208//cSxY8fIkSMH1atXp0aNGuTMmZNjx47x008/6VyuBAxhMVQ1DK3LF07wJUwvpZCR0caaVZUKEhmtZOz5u0QrlTpfR5/vt7xXhBBCCAgICOD69etMmjSJYsWKERgYyOTJk7l+/TqFC+v+u1LmYAiLoM3majJUyrxlc7BldFFfBpy8SVhkFIvL5+Pl9lupPt9B3itCCCEEODo60rVrV4OWKQFDmD35tNnyqNsdu42/Ox6OtrQ9fJUVN5/QNZ+XVuUb6j0hIUMI3cnwKCE0N2/ePKZNm8bjx48pXLgws2bNolKlSskev3r1aqZOncr169dxcXGhTp06TJ8+naxZsxq8bteuXePAgQM8ffqU6OjoBM/F7tWhLQkYwqzp0pBU12hUV6Y0OA1DXcio7pWFFr7Z+PHfB/g5OdBcqUShUKRiDWPEvh/0/b5LEBbGllKDPnYuhybHJPecBAYhjOO3336jf//+zJs3jwoVKrBgwQLq1q3Lv//+i4+PT5Ljjxw5Qvv27fnxxx9p2LAhDx8+pEePHnTp0oWNGzcatG6//vorPXv2xM3NDU9PzwS/hxUKhQQMIeIz1Ph8CRv6URcyvgv04cab97Q9fJUpd56wpGs5ivqoX8I26thlgzfoDRU0hDA0TRr+mh5jiZPKhbB0M2fOpHPnznTp0gWAWbNmsXPnTubPn8+kSZOSHB8UFISfnx/9+vUDIFeuXHTv3p2pU6cavG4//PADEyZMYOjQoQYtVyZ5C7NlDp8Im0MdLF1KG9R5OtqxtXoAG6sWQomS+tP3cfPpm1Suof7kfSKMxdC9Crr2cOhynBBplVKpJCwsLMHXx48fVR4bERHB6dOnqVWrVoLHa9WqxbFjx1SeU758eR48eMC2bdtQKpU8efKE9evXU79+fYO/lpcvX9K8eXODlysBQ5glc2qwmVNdNGGuq2oltxu2QqGggrsLOwdXx9nRlnrT9rH9/EOio1NeYcpYPQ3mdt9E+mWsIUuGCBnaHiuEJbHKmz3JKpWxX1aF/Hjx4gUuLi4JvlT1RAA8f/6cqKioJJvZeXh4EBISovKc8uXLs3r1alq2bImdnR2enp5kzpyZOXPmGPy1Nm/enF27dhm8XBkiJcyKuTbuzH0ycHL3zVzrHT9kxA6hyubswLZB1Wg7/wiNfjxAYM4s7BpanaxO9smWY4yhUtoy9fWF0EVsyEgcErQZaiVzNkR6lTVrVm7dSjj8194++d9VQJI5hsoU5h3++++/9OvXj1GjRlG7dm0eP37M4MGD6dGjB4sXL9av8onkyZOHkSNHEhQURJEiRbC1tU3wfOwwLW1JwEiDLHUsuTTUtJcW7ln8sOGXzYkjI2tz5NpTmv10iImbLzGjTYkUzzfWfAx1/3/Swr0XQteQIOFCpGcKhQJnZ2eNjnVzc8Pa2jpJb8XTp0+T9GrEmjRpEhUqVGDw4MEABAYGkjFjRipVqsQPP/yAl5d2Ky+mZOHChTg5OXHw4EEOHjyY4DmFQpE6AWP+/PnMnz+fO3fuAFC4cGFGjRpF3bp1AejYsSPLly9PcE6ZMmUICvrvE5Lg4GC+/vpr7t69S7du3RLMTvfz8+Pu3bscP36csmX/++HVv39/zp07x4EDB7R9felCSp9exzJ22EiuDtFRVhCs+/nmJLWCm3X5wnH3zbpMQayto9WflIYoFAoq5nPH0c4aW2vNVpVK7ZBhCe9XEUMmNgshTMnOzo4SJUqwe/dumjZtGvf47t27ady4scpz3r17h41Nwia6tbU1ENPzYUi3b982aHmxtAoYOXLkYPLkyeTJkweA5cuX07hxY86ePRu321+dOnVYunRp3Dl2dnYJyujduzft2rWjVKlS9OjRg+rVq1OhQoW45x0cHBg6dGiSFCX+o+vSrWDYxrE29YhtKMe/vqU20owVNIx1P8x1mFRKoqKVhL2PJOx9JOEfP5HR3jSdrZb6HhUxYj9lt9SQIcOQhEgbBg4cSLt27ShZsiTlypVj4cKF3Lt3jx49egAwfPhwHj58yIoVKwBo2LAhXbt2Zf78+XFDpPr370/p0qXx9vZOlTpfvHiRxYsXM2vWLJ3O1+q3dsOGDRP8e8KECcyfP5+goKC4gGFvb4+np2eyZbx69YrixYsTGBiIt7c3r1+/TvB89+7dmT9/Ptu2baNevXraVC/NM0RjxxCNTUMtAWvpDLWfRlq6J4ZiY23FgDoF+eGvi6w+dpsmJXIyueVneGV2TPacqGOXoUyRVKylMHeWGCqEEGlPy5YtefHiBePGjePx48cEBASwbds2fH19AXj8+DH37t2LO75jx468efOGuXPn8u2335I5c2aqVavGlClTjFrPsLAw1q5dy+LFizl16hSBgYE6l6Xzx4JRUVH88ccfhIeHU65cubjHDxw4gLu7O5kzZ6Zy5cpMmDABd3f3uOfHjRtHzZo1ef/+PQ0aNKB27doJyvXz86NHjx4MHz6cOnXqYGUlC12BYRuh+nwCL41hzZnTvbLEXozRTQNpX9Gf30/cYe7uYKpP2s3ZH+pjb2ud7DlRJ65A5gKpWEshhBBCvV69etGrVy+Vzy1btizJY3379qVv375GrlWMgwcPsnjxYjZs2MCHDx8YPHgwa9asiRuxpAutW+8XL17EyckJe3t7evTowcaNGylUqBAAdevWZfXq1ezbt48ZM2Zw8uRJqlWrlmBt4Hr16vHs2TMePXrExo0b48aUxff9999z+/ZtVq9erfMLS0uMOXTGHOohRHJyZXNiaIMAfu1clutP3nAtJMzUVRJCCCEs3uPHj5k4cSJ58uShVatWuLm5cfDgQaysrGjfvr1e4QJ06MHInz8/586d49WrV2zYsIEOHTpw8OBBChUqRMuWLeOOCwgIoGTJkvj6+rJ161aaNWsW95y9vT3ZsmVL9hrZsmVj0KBBjBo1KkGZmorEmkgDL5D16f/lfUrlhbesyxQkOsqIFyhTJOZTXyPVIzLKKsGfQjPGuG9RFrxoXPDTD7i6OJHb25VIku/BiP3/+fHEdaL4hHWZgqlVRYsm/091kxr3TRFp2Amd5iDy/68pMg2+NmNKS/ctLbwGS5crVy6aN2/Ozz//TM2aNQ0+YkjrFoednV1cqilZsiQnT57kp59+YsGCBUmO9fLywtfXl+vXr2tdsYEDBzJv3jzmzZun9bn7XBqSIUMGrc/TqOzMDdUfZEgarMCkN02GlOhZjz038ulXQDpl0PtmwUOH8nwJS76E/RoeH/f/NDX+/6Qh8v9UN0a9b8GWt7O9pnbveWvqKliktHDf3r17Z+oqpHu+vr4cOXIEHx8ffH19KVDAsG0EvT/SVCqVyW6P/uLFC+7fv6/Ter1OTk6MHDmSMWPGJJlcrk6111twjrBTf6AWPmHDvswNqfZqCzZ8MmjZsdLip62RUVbsuZGPGnmuYZvOllvVhzHumyY9VeZqx4VHtJ1/hJPj6uGfzSnZ47T9f5oW/8/pQv6f6ia17pvCv5TRyjaFyEglu/e8pWYNJ2xtNVuKWqSt+xYWJr2lphYcHMzRo0dZvHgxpUqVIl++fHz11VdA0k0BdaFVwPjuu++oW7cuOXPm5M2bN6xbt44DBw6wY8cO3r59y5gxY/jiiy/w8vLizp07fPfdd7i5uSVY91cb3bp148cff2Tt2rWUKVNG4/NsicLWSCHAhk8GL/u/uQ1p9xe7rXW0NFx0YMj7ZmWk/xOpoZRPJt6/f8/F20/In81B7fEa/z89cTHurzLHSP6f6sro9+3uiTS5XK2trcLiG8qmkBbum6XXP62oUKECFSpUYPbs2axdu5YlS5YQFRVFr169aNOmDU2aNElxSkNKtIqQT548oV27duTPn5/q1atz4sQJduzYQc2aNbG2tubixYs0btyYfPny0aFDB/Lly8fx48fJlCmTTpWztbVl/PjxfPjwQafzzZl1+cJxX0KIlD0Ji/kZ4JUl+WVq9WVpq2wJIYQQhuDk5ETXrl05fvw4ly9fpkSJEnz//fd67bmhVQ/G4sWLk33O0dGRnTt36lwRIG6H8Phat25N69at9SrXXEiYEEI3Hs4xvRbPw1QPxzQUY+wILoQQQsybN49p06bx+PFjChcuzKxZs6hUqVKyxx88eJCBAwdy+fJlvL29GTJkSNzGfMZUsGBBpk+fzuTJk9m8ebPO5cggOCGE2bv1LGZS49uPljvMSwhdpcXhUUKkJ7/99hv9+/dnxIgRnD17lkqVKlG3bt0Em+vFd/v2berVq0elSpU4e/Ys3333Hf369WPDhg2pVmcbG5sEK8Bqfb4B6yJSIJ+KCqE7TxcHcrs70XHhMYJuPGPWVyWxjrekXnS0EoUCMMCw3tihUvJ/Nv1KrkEvO4MLIXQxc+ZMOnfuTJcuXQCYNWsWO3fuZP78+UyaNCnJ8b/88gs+Pj7MmjULiOlVOHXqFNOnT+eLL75IzarrTAJGKpCGikgvknuv6zu/wd89E5cnN2Th/hv0X3WKv889xNPFkZfhH3nxNoJX7yKwsVbgnTUzsxc2ZcWRW9Qu5EYO15jlqpVKJa/fRZI5o+ary0nQSJ9S6i2IfU6ChhBCUxEREZw+fZphw4YleLxWrVocO3ZM5TnHjx+nVq1aCR6rXbs2ixcvJjIyEltbW6PV11AkYAiRTliXL2yUicyaNMDjH6NrHaytrOhZPR+Fs7uw48Ijnr/9iGtGO7I62ZMloz2RUdE8exezks+3a07T4907nBxsyJbJgdC3H3n9PpLS/lnpXi0fzUv74Gin2Y8/mZeRviQOD4o8ZVM9UJhiSFTsa5ThWEKop1QqCQsLS/CYvb099vb2SY59/vw5UVFReHh4JHjcw8ODkJAQleWHhISoPP7Tp088f/5cp+0fUpsEDCOTholIq3R9b8eep2vQ+LyAB58X8FD5XCQ27AKuTWvMkX8fcPdFOM/CPuDsaItnZkf+OHGXzouOM3jtaYbUL0zvGvlxsEt+Z/BYiXsz9Alq8jPBsugSLqSRLoRlU7jnTvb/seKOLS9e/IWLi0uCx0ePHs2YMWOSLzPR3hJKpTLF/SZUHa/qcXMlAUOIdETfXgxDNo4N0auRnCwZ7WhWyifJ4x0r5eZ6SBg/7brKiPXn+GXfNVb1rEiZ3G4alWuIesrQq7RNwoUQaV/WrFm5detWgsdU9V4AuLm5YW1tnaS34unTp0l6KWJ5enqqPN7GxoasWbPqUfOkwsPDmTx5Mnv37uXp06dERyfc0yfx69SUBAwjkIaDMGeahozUfB8bomdAU3k9nZnbvjR9auSn1c+HGbvxAtsGVTP6dROToVdpT1oIF8obQWnidQhhTAqFAmdnZ42OtbOzo0SJEuzevTvBxtO7d++mcePGKs8pV64cW7ZsSfDYrl27KFmypMHnX3Tp0oWDBw/Srl07vLy8DNZDIgHDwKTBICyBub5PUzNoFPB2oW+tAvRcdoIeS0/wTe0CFPBytpjuZ2F+pHEuhFBl4MCBtGvXjpIlS1KuXDkWLlzIvXv34va1GD58OA8fPmTFihUA9OjRg7lz5zJw4MC4DfAWL17M2rVrDV637du3s3XrVipUqGDQciVgCCHMjrqgsfPCI9YG3aFFaV/qFcue5Pnxmy6w6Z+b1A3MTuUCHhTK7sKVR6/J5uxAyVz/dS93rORP+MdP/PDXRRYfvIFP1gzUDPCmdhEvqhXyxMnBhvCPUbz9EImVQoF33RIoFAqDBaCUhku9fvOBN+EfyeHpkuS5ByGvyZTRHpdMDgaphxBCCONp2bIlL168YNy4cTx+/JiAgAC2bduGr68vAI8fP06wJ0auXLnYtm0bAwYM4Oeff8bb25vZs2cbZYnaLFmy4OrqavByJWAIIcyWqnkar8IjaDBzPwCrj92m0Wc52HzmAU4ONmTO5MTcX5ty6OpTrjwK48qjMGbuuJKgzCdzv8TVKWasrLWVFf1qFaBrlTwcuvqUnRcfseviYxYfvKGyPtnG7WThD01pXMOwPS2Jg8brNx+o23kpT1+Es39VF3J6ZY479v7jV1T9ahHuWTOyfXEnCRlCCGEBevXqRa9evVQ+t2zZsiSPVa5cmTNnzhi5VjB+/HhGjRrF8uXLyZAhg8HKlYBhQOY67ESItCD2/5fL0UvsGVqDCw9eEhkZzdDfzwLQoFh2/jr/FIA6RbNz6sZjPn76b7Kao5013armJUuivTCsyxfGCahXBer9/7Hb90M5ePI2SiVkdLTFKYM9HyM+sfC3f+g4dD3nt/TDxzuzwZf+jS3rjX8Onr4I59b9UKp+tSguZMSGi1v3Q2OOC/8oAcPMyDApIYQlmTFjBjdv3sTDwwM/P78kczx0DTkSMAxEwoUQqcOmQgDVKkDstOxWvWtSsdUC1gXdxdHREYD+tfPTs7Ivp++E4uuWET+3jNhVLKLxNXLldCVXzqRdxlXL+lOs0RzaDfqdfSu7YG1tZZT9RbxuPWD/qi5xYaLqV4tYMa057Qf/wa37ofjndGX/qi4qh08JIYQQmmrSpIlRypWAYQASLoQwnZxembmyYwBnLj/C0z0L/74Fu3KFyWgdTU0DXyuzsyOTB9WmzcDfuPvwFf4+MSHEGCHD+/ZD9vT/nBqzDnHrfigVWy0AiAsX8YdNCWEo0vsiRPoyevRoo5QrAUNL1mUKYm0drf5AIUSqyeBoR8WSfkRGWfFvsHGv9SY8AoCtB66yYeclFAoF+f2z0a5xccp+fGvQa+XMmpEV05rHhQuAFdOaS7gwc5Y4TMrS6iuEMKzTp09z5coVFAoFhQoVonjx4nqVZ2WgegkhRLqQL1dWvN2d+eaHv7l5L5TsHs7sOnKdSq0XMOzwPT5FGe4DiPsvwmk/+I8Ej7Uf/Af3H78y2DWEEEKkX0+fPqVatWqUKlWKfv360adPH0qUKEH16tV59uyZzuVKwFDDunzhmK8yBU1dFSGEGahc2p/7h4dyads3HP+jJ6tmtOTm3kH8OKI+s5Ydpe7CIM7fe6n3de6/CKfG5D1xcy6OrOuOf07XuDkZEjKEEELoq2/fvoSFhXH58mVCQ0N5+fIlly5dIiwsjH79+ulcrgSMZMQGCyGESEyhUFAoj0fcJGuFQsE3HSqwa2kn7j16TclR2/hy9kGuPHqtU/kPQt/FhItnb+PmXJT/zJf9q7okCBkPQnQrXxif8kaQqatgUMobQWnuNQlhjl6+fEm7du1wcXHBxcWFdu3a8erVqxTPefv2LX369CFHjhw4OjpSsGBB5s+fr9H1duzYwfz58ylY8L8P0gsVKsTPP//M9u3bdX4dMgdDBQkWQojEzv37iGcvw6lWNjfW1qo/m6laNjdXdgxg9ZZz/PDzfsqM2c7c9qVpX9Ffq2tlcrAhm7MDONglmNCd0ytz3OpS7lkzkimjvb4vS6QSdY1zmQMhhABo06YNDx48YMeOHQB069aNdu3asWXLlmTPGTBgAPv372fVqlX4+fmxa9cuevXqhbe3N40bN07xetHR0UmWpgWwtbUlOlr3Ib8SMOKRYCGESE7jniu5/zimx2B4jyoM7lKJzM6OSY6ztbWmY7MStKhbhD59VtJ50XEOBT9h9lelyGCv2Y9clwx2bP22Ku8C/JMsRZvTKzMHVneVnbwtgHziL4TQxpUrV9ixYwdBQUGUKVMGgF9//ZVy5coRHBxM/vz5VZ53/PhxOnToQJUqVYCYULJgwQJOnTqlNmBUq1aNb775hrVr1+Lt7Q3Aw4cPGTBgANWrV9f5tcgQKWQ4lBBCvWHdK8f9fc7KY5RtPp+34R+TPT6Dox1LFndm6eQv+f3EXcqP30Hw4zCNr+eSwS7ZfS5yeLpIuBBCiDTm+PHjuLi4xIULgLJly+Li4sKxY8eSPa9ixYps3ryZhw8folQq2b9/P9euXaN27dpqrzl37lzevHmDn58fuXPnJk+ePOTKlYs3b94wZ84cnV9Luu7BkFAhRPrx9MVbjpy6g1NGe2qUz42VlXafr/RsU5aCud2p1m4Rb8MjuHb7ORPmH2DSoJR/gHdo9hklArxp0XUZZcZsZ1WPCjQonkOflyKEEMKElEolYWEJPzCyt7fH3l6/YashISG4u7snedzd3Z2QkJBkz5s9ezZdu3YlR44c2NjYYGVlxaJFi6hYsaLaa+bMmZMzZ86we/durl69ilKppFChQtSoUUOv15LuAoaECiHSp5lLjjD110MADOpSialD6mpdRuXSudgwty0hz9/w+Nkb6lTKp9F5Afk8+WfbANp+vZivfjnK8dF1KOitfhfuqGOX5WdWOmGJe2cIkVY9CL/FpdATKp+7/eYGL168wMUl4c/w0aNHM2bMGJXnjBkzhrFjx6Z4zZMnTwIxi4YkplQqVT4ea/bs2QQFBbF582Z8fX05dOgQvXr1wsvLS+OgULNmTWrWNNz2tOkmYMgvaSHStx6ty/DH9ovcfvCS81ce61SGQqGgaS3dfpY4ZbRn9ZLOlKn/I63mHubY6Dpk1HBOhkgfJGQIYRmyZs3KrVu3EjyWUu9Fnz59aNWqVYpl+vn5ceHCBZ48eZLkuWfPnuHh4aHyvPfv3/Pdd9+xceNG6tevD0BgYCDnzp1j+vTpKgPG7Nmz6datGw4ODsyePTvFeum6VG2a/u0moUIIEcsvRxZu7htMRMQnbG2tTVIHp4z2rOv9OeXGbqfvipMs6VpO7TnSi5G+xE4Ml6AhhPlSKBQ4OztrfLybmxtubm5qjytXrhyvX7/mn3/+oXTp0gCcOHGC169fU758eZXnREZGEhkZmWTYr7W1dbKrQP3444+0bdsWBwcHfvzxx2Tro1AoJGDEZ12mANZOMgFSCJGUnZ1uP/Y27f6XnF4ulAjIrtf1C2V3YXLLz+i38iRjmwWSM2tGvcoTaVP8FagkbAiRPhQsWJA6derQtWtXFixYAMSsCNWgQYMEK0gVKFCASZMm0bRpU5ydnalcuTKDBw/G0dERX19fDh48yIoVK5g5c6bK69y+fVvl3w1JVpESQgg1Ll9/QrPeqyjV7GeD7KDdtnwuHGytWf/PPf0rJ9I8We5WiPRj9erVFClShFq1alGrVi0CAwNZuXJlgmOCg4N5/fq/jVbXrVtHqVKlaNu2LYUKFWLy5MlMmDCBHj16qL3euHHjePfuXZLH379/z7hx43R+HRIwhBBCjYK5s1GqSMzKT4XrzeLeo1d6lefsaEvdQG82ntYsYEQdu6zX9YQQQlgGV1dXVq1aRVhYGGFhYaxatYrMmTMnOEapVNKxY8e4f3t6erJ06VIePnzI+/fvuXr1KgMHDkxxYnissWPH8vbt2ySPv3v3Tu3E9JRIwBBCCDWsrKzYubQTAG/DI/CrMpWgc7r1PsTOpyjo7cLd5+EGq6MQQgihreRWqDp//jyurq46lysBQwghNJDZ2ZHVM1vG/XvUrD06l2VdvjB3sJb5F0IIIUwiS5YsuLq6olAoyJcvH66urnFfLi4u1KxZkxYtWuhcfpqc5C2EEMbQukFR6lfJz+37L8nvr35FkJS4uWbkn09KIj5FYWdjmlWthBBCpE+zZs1CqVTy9ddfM3bs2AT7etjZ2eHn50e5cupXOkyOBAwhhNCCs5MDRQt66V1O8YLezF5+jIxd1rGmV0Wal/Y1QO2EMA5ZyUqItKVDhw4A5MqVi/Lly2Nra2vQ8mWIlBBCmECj6gUZ0KkiFT7zZeb2K6aujjBjsY175Y0gWVFKCGFQlStXjgsX79+/j5tcHvulKwkYQghhAllcHJkxvB7lPvMh9O1HU1dHmKn44SJWbNCQwCGE0Ne7d+/o06cP7u7uODk5kSVLlgRfupKAIYQQJlSicHZuPXvLradvTF0VYWYUecpqFCIkaAghdDV48GD27dvHvHnzsLe3Z9GiRYwdOxZvb29WrFihc7kSMIQQwoQaVC1ABjtr/vjnrqmrIsyMtqFBQoYQlm/ChAmUL1+eDBkyJNn/IiVXrlyhUaNGuLi4kClTJsqWLcu9e+qXU9+yZQvz5s3jyy+/xMbGhkqVKvH9998zceJEVq9erfPrkIAhhBAmlDGDHY1qFmb1sdt8ioo2dXWEEEKYUEREBM2bN6dnz54an3Pz5k0qVqxIgQIFOHDgAOfPn2fkyJE4ODioPTc0NJRcuXIB4OzsTGhoKAAVK1bk0KFDur0IZBUpIYQwuX4dylNp+0U6LDjGkq7lsLeVZWuFECI9it09e9myZRqfM2LECOrVq8fUqVPjHvP399foXH9/f+7cuYOvry+FChXi999/p3Tp0mzZskWrHpTEpAdDCCFMrGwxH9b91Jq/zj2k7vR9hH/8lOSYqGOXTVAzYWlkmJQQxqdUKpOstvTxo2kW64iOjmbr1q3ky5eP2rVr4+7uTpkyZdi0aZNG53fq1Inz588DMHz48Li5GAMGDGDw4ME610t6MIQQwgx8UTsAT7dMVG67kHVBd+hcOU+SY6KOXca6fGET1E4IIdKP66+ec/Sx6nlxV1484cWLFwk2pgMYPXo0Y8aMSYXaJfT06VPevn3L5MmT+eGHH5gyZQo7duygWbNm7N+/n8qVK6d4/oABA+L+XrVqVa5evcqpU6fInTs3RYsW1bleEjCEEMJMVCjhy+el/Pjz5D2VAUNYHk02qJNeByEsS9asWbl161aCx+zt7ZM9fsyYMXFDn5Jz8uRJSpYsqXVdoqNj5u41btw4LiwUK1aMY8eO8csvv6gNGCtWrKBly5Zx9ffx8cHHx4eIiAhWrFhB+/btta4TSMAQQgiz8kXtAAZM+Jvnbz7glkn9BD1hvjTd/VrVXhdCpEWx73Hl2w8mrol+FAoFzs7OGh/fp08fWrVqleIxfn5+OtXFzc0NGxsbChUqlODxggULcuTIEbXnd+rUiTp16uDu7p7g8Tdv3tCpUycJGEIIkRZ8UTuAYdN3UmHcTuZ3KkO1Qp6mrpLFStzAT80GvKbhQtU5EjREWpSe39dubm64ubkZpWw7OztKlSpFcHBwgsevXbuGr6+v2vOVSiUKhSLJ4w8ePEgyDEwbEjCEEMKMeGbLxJlNfejadxW1p+6lY6XcTG1VnCwZk+9+N5TCdX+kSY18jPumBg72tka/njGpauDr0oDXJaToEi4Sn6/uOqYMT0II47l37x6hoaHcu3ePqKgozp07B0CePHlwcnICoECBAkyaNImmTZsCMZvltWzZks8//5yqVauyY8cOtmzZwoEDB5K9TvHixVEoFCgUCqpXr46NzX+RICoqitu3b1OnTh2dX4cEDCGEMDN5/dzY91c/Fk7ezLD153mMFdsXdzL6dR8+CWP6osPMWHyYKYPr8E2HCtimwSVz4zfOEzfM1YUDU/cyJFc/fUONEMI8jBo1iuXLl8f9u3jx4gDs37+fKlWqABAcHMzr16/jjmnatCm//PILkyZNol+/fuTPn58NGzZQsWLFZK/TpEkTAM6dO0ft2rXjwgvE9Ir4+fnxxRdf6Pw6JGAIIYQZsrKyIl/VIvgev8ez0PBUuebJP3sTUHc6SiUMmbqDyQsOUqmkH11blqZu5Xwqu9HNkTaNbV0b5oo8ZVFEKiH4DQr/UnD3hE7lpFR+/BCjbT1jz5XgIYRlWbZsmdo9MJRKZZLHvv76a77++muNrzN69GggZu5Hy5YtNdqUTxuyD4YQQpih9x8iqdFhMReDQ6hfpUCqXDOvnxsTv62NtVVMkIj4FMXjZ29o0G05Dbou586Dl6lSD0ukyFM27sucyxRCiPg6dOhg8HABEjCEEMIsOTrYsmB8zPjari1Lpdp1G1YrQFS0ksY1CjJ1SF2O/9GTjfO+4kJwCAH1ZzF98WE+fYpKcI5SqWT2imP8svYEr8Lep1pdhRBCaM/V1ZXnz58DkCVLFlxdXZP90pUMkRJCCDNVMHc2AF6/+UAOT91X89DGln1XsbW1Zubw+uTKGfPLpXGNQlQrm5vvZ+1i6NQdrNl8jmlD61KtXG4UCgV/779K/x/+BmDgxK00rVmIQV0+p3gh71SpsxBCCM39+OOPZMqUCYBZs2YZ5RoSMIQQwkwV8M9GZmcHhkzZzsZ5X2FnZ/wf2T+vOk7HZp/FhYtYmZzs+en7hnzVqDg9Rm2iZscl5MvlhkdWJy4Eh1CqSA42zf+KlX+dY9HvJynZ9GdG9anGqD7VLGbuhhBCpAcdOnRQ+XdDkoAhhBBmys01I2t/bEXjHitp1GMl6+e0wcmIy9V++hTFo6dvKBmQI9ljSgXm4NTG3hz85zYr/zrLx4+fqFLGnw5NP8PL3ZkhXT9nQMcKTFpwgDGz95Lbx5WvGhc3Wp1VUd4IknkLQpgRWUbZvEVFRbFx40auXLmCQqGgYMGCNG7cOMHStdqSgCGEEGasdqV8bFvUkSa9VlKjw2K2LeqIa+YMRrlW6Ov3KJVKPNycUjxOoVBQpYw/Vcr4q3ze1taaUX2qs3DdSW7cfWGMqqql7fKzaU16e73CfEm4MG+XLl2icePGhISEkD9/fiBmk75s2bKxefNmihQpolO5MslbCCHMXLVyudm/sis37r2g9YB1REVFG+U6z168BVAbMDSV08uFaYsO89W3v/H7tgtcDA7h/YdIg5QthDB/Ei60c+fOHTp37kyuXLlwdHQkd+7cjB49moiICI3L6N69OwqFQuO5FV26dKFw4cI8ePCAM2fOcObMGe7fv09gYCDdunXT8ZVID4YQQliEEgHZ+W1Wa2p/vZSRs3Yz8dvaBr/G0//vt+HumtEg5f35c1uWbzzLyk1nWLPlPBDT++Hj7ULlUrlo1aAolUvnwtHB+LuGy7ApIVKXhAvtXb16lejoaBYsWECePHm4dOkSXbt2JTw8nOnTp6s9f9OmTZw4cQJvb80X2Dh//jynTp0iS5YscY9lyZKFCRMmUKqU7isYSsAQQggLUb18HiYNqs3QqTuoVzk/FUv6GbT82A39DNWD4eXuzLDulRnWvTLPQ8MJvv2ca3eec+XmU/7ceZkVm86SxcWRLQvaU/4zX4NcUwhhehIudFOnTh3q1KkT929/f3+Cg4OZP3++2oDx8OFD+vTpw86dO6lfv77G18yfPz9PnjyhcOHCCR5/+vQpefLk0e4FxCNDpIQQwoIM6lwJvxxZWLf1gsHL/hgRhUKh4E34R4OX7eaakQolfOn0RQmmDqnL9T3fcmnbN9hYW7Hyr7MGv54QIvUpbwSli3ChVCoJCwtL8PXxo+F/bgK8fv1a7X4U0dHRtGvXjsGDBycJCupMnDiRfv36sX79eh48eMCDBw9Yv349/fv3Z8qUKQleozakB0MIISyIQqGgoH82Hj3R7oe9JhpWK0CmjHaMmbOX+WObGLz8+BQKBWPn7OVZaDjWVvJZlxCWLi0Fi3NPP/Li5luVzz1//J4XL17g4pJwb6LRo0czZswYg9bj5s2bzJkzhxkzZqR43JQpU7CxsaFfv35aX6NBgwYAtGjRIm5JcaVSCUDDhg3j/q1QKIiKilJdiAoSMIQQwsJkdnbg/uPXRijXkQkDa9F33Baa1ixMrYp5DX6N+C5cDQFgRM8qRr1OLJmHIYRxpKVwoYmsWbNy69atBI/Z2ye/hPiYMWMYO3ZsimWePHmSkiVLxv370aNH1KlTh+bNm9OlS5dkzzt9+jQ//fQTZ86c0WnPof3792t9jiYkYAghhIUpV9yXtX9vod/4LUwZXMegk6R7tinDX3uu8M34LVzZOdBg5arSqEYh1v19Hi93Z6NeJz4JGUIIfSkUCpydNf+51adPH1q1apXiMX5+fnF/f/ToEVWrVqVcuXIsXLgwxfMOHz7M06dP8fHxiXssKiqKb7/9llmzZnHnzp0Uz69cubLa+utCAoYQQliYXm3LEK1UMnTqDg6cuMXqGS0pkt/TIGVbWVnRt305GvdYSfCtZ+T3z2aQclWJjIzCwT71fw3F/7RVwoYQ+klvvRe6cHNzw83NTaNjHz58SNWqVSlRogRLly7FSs0Q0nbt2lGjRo0Ej9WuXZt27drRqVMnledcuHCBgIAArKysuHAh5fl8gYGBGtU7MQkYQghhYaysrOjXvjzVyvrT9tvfKdXsZ9bPbUuDqgUMUn71crlxsLfh7/1XjRowrtx8SsHc7kYrXxOxjSMJGkIIU3v06BFVqlTBx8eH6dOn8+zZs7jnPD3/+xCpQIECTJo0iaZNm5I1a1ayZs2aoBxbW1s8PT3jNs5LrFixYoSEhODu7k6xYsVQKBRx8y7i03beRXwSMIQQwkIF5PPkxPqeVGu3iJ9XHTdYwMjgaEfVMv7sOXaDbztXMkiZqtjZWvP8ZbjRyhdCGJf0XhjWrl27uHHjBjdu3CBHjhwJnosfAIKDg3n9Wvd5eLdv3yZbtmxxfzcGCRhCCGHBHOxtaVitIJMXHDRouYXyevDXnn8NWmZirRsUpc3A37h+5zl5/TQbPiCEEGlVx44d6dixo9rjVPU2xKdu3oWvr6/KvxuSrA0ohBAWzsPNiTfhH4mKijZYmX7ZM3P30Svef4g0WJmJNa5RCLcsGfh20ja1vzCFEEIY3qRJk1iyZEmSx5csWcKUKVN0LlcChhBCWDhnp5jlEV+/+WCwMut8no9Pn6JZucl4m+A5OtiyZPKX/L3/KjOXHDHadYQQQqi2YMECChRIOry2cOHC/PLLLzqXK0OkhBDCwhXKEzNR+tyVx1Qrl9sgZeb2yUrDagVY9udpurUqbZAyVWlQtQCDulRi+Iyd1K6Ul4B8hlkNKz6ZwC2EEKqFhITg5eWV5PFs2bLx+PFjncuVHgwhhLBwBfyz4exkz+I/ThLy7I3BynV1cdRp4yZtje9fE/+crvQZu1mnoVKKPGWThIjYxyRcCCFE8nLmzMnRo0eTPH706FG8vb11LlcChhBCWDgrKyuG96jCpj1X8Kk8haHTdhik3FdhH8icycEgZaXE3s6GOaMacujkHVZvPqfVufEDhIQKIYTQTpcuXejfvz9Lly7l7t273L17lyVLljBgwAC6du2qc7laBYz58+cTGBiIs7Mzzs7OlCtXju3bt8c9r1QqGTNmDN7e3jg6OlKlShUuX76coIzg4GAqVKhAjhw5GDduXILn/Pz8UCgUBAUlXPasf//+VKlSRcuXJoQQ6cfQbpV5eGQY3/WowrRfD7Hz8DW9y3z99gMuqRAwAGpWyEvzugEMnrKdDx/VTyyXICGE6cn/Qcs3ZMgQOnfuTK9evfD398ff35++ffvSr18/hg8frnO5WgWMHDlyMHnyZE6dOsWpU6eoVq0ajRs3jgsRU6dOZebMmcydO5eTJ0/i6elJzZo1efPmvy773r17065dO/766y+2bNmSpFvGwcGBoUOH6vyChBAivcrs7MiYfjXImjkDpy491Lu8128+kDGDnQFqppnx/Wvx5Plb/tpzJcXjpFEjhEirGjVqhI+PDw4ODnh5edGuXTsePXqU7PGRkZEMHTqUIkWKkDFjRry9vWnfvn2K58SnUCiYMmUKz549IygoiPPnzxMaGsqoUaP0eh1aBYyGDRtSr1498uXLR758+ZgwYQJOTk4EBQWhVCqZNWsWI0aMoFmzZgQEBLB8+XLevXvHmjVr4sp49eoVxYsXJzAwEG9v7yQbhXTv3p2goCC2bdum1wsTQoj0yjd7Zu49eqV3Obl9XLl8/Yn+FdJQvlxuVPjMl+V/nknxONncSwjzIYHfsKpWrcrvv/9OcHAwGzZs4ObNm3z55ZfJHv/u3TvOnDnDyJEjOXPmDH/++SfXrl2jUaNGWl03JCSE0NBQcufOjb29vd5Lh+s8ByMqKop169YRHh5OuXLluH37NiEhIdSqVSvuGHt7eypXrsyxY8fiHhs3bhw1a9YkQ4YMWFlZUbt27QTl+vn50aNHD4YPH050tOHWdBdCiPTCxysz9x/pvstrrGa1Agg6d5+9x24YoFaa+apJMXYdvW7QJXeFEMJSDBgwgLJly+Lr60v58uUZNmwYQUFBREaqHjrq4uLC7t27adGiBfnz56ds2bLMmTOH06dPc+/ePbXXe/HiBdWrVydfvnzUq1cvbuWoLl268O233+r8OrRepvbixYuUK1eODx8+4OTkxMaNGylUqFBciPDw8EhwvIeHB3fv3o37d7169Xj27BlhYWFx25Qn9v3337N06VJWr15Nu3bttK0ikVFWREYZdv56bHmGLjetk/umG7lvupH7FiNjxgy8+/hW4/uQ3H1rWrsoVcueYci0Pexd4UvGDPYGr2tiJYr4Ym/vwJVboZQIyJH8gcH/oPAvZfT6pCQyUpngT6EZuW+6Mev75lsG5a2TGh9u6T+jlUolYWFhCR6zt7fH3t6wPyNDQ0NZvXo15cuXx9bWVuPzXr9+jUKhIHPmzGqPHTBgALa2tty7d4+CBQvGPd6yZUsGDBjAjBkzdKm69gEjf/78nDt3jlevXrFhwwY6dOjAwYMH455PvKShUqlM8pi9vX2y4QJi1t4dNGgQo0aNomXLltpWkd3X85EhQwatz9PEnhv5jFJuWif3TTdy33ST3u9b807fA7A9WLvzVN23b4ZNBeDQfb2rpRlFAdaurcZTNKh/sOGW5NXH7j1vTV0FiyT3TTfme9+SbtaWnHfv3hmxHvq79iCMOxdUDw/9dOslji9e4OLikuDx0aNHM2bMGINcf+jQocydO5d3795RtmxZ/v77b43P/fDhA8OGDaNNmzY4OzurPX7Xrl3s3LmTHDkSfqCTN2/eBB0E2tI6YNjZ2ZEnTx4ASpYsycmTJ/npp5/iJmYn3rDj6dOnSXo1NDFw4EDmzZvHvHnztD63Zt5rODsZduWTyCgr9tzIR40817C1lqFbmpL7phu5b7qR+xaj99i/WP3XOUb2rsa3nSupPV7dfbt8LYSW/dcSHa1k84IO5PHNaoxqx/l62HoOnbzDvpVd8PHOnOKxpuzFiIxUsnvPW2rWcMLW1vj7haQVct90Y+73TZsejLC3lj0EMmvWrNy6dSvBYyn1XowZM4axY8emWObJkycpWbIkAIMHD6Zz587cvXuXsWPH0r59e/7++2+1+xJFRkbSqlUroqOjNW4/h4eHq/xQ/vnz53r1yOi9k7dSqeTjx4/kypULT09Pdu/eTfHixQGIiIjg4MGDTJkyRetynZycGDlyJGPGjKFhw4ZanWtrHW20xoUxy07L5L7pRu6bbtL7fVs4riFEf2LuisN826kstrbWGp2X3H0rVtCdAys7UaHVAgZO2MS6Wa2Nunzt9KE1qdhqAW36ryJofc+Uf6nePWHySaa2tgqzbPCZO7lvujHX+6bU4meupf98VigUGvUOxOrTpw+tWrVK8Rg/P7+4v7u5ueHm5ka+fPkoWLAgOXPmJCgoiHLlyiV7fmRkJC1atOD27dvs27dP4/p9/vnnrFixgvHjxwMxry06Oppp06ZRtWpVjcpQRauA8d1331G3bl1y5szJmzdvWLduHQcOHGDHjh0oFAr69+/PxIkTyZs3L3nz5mXixIlkyJCBNm3a6FS5bt268eOPP7J27VrKlCmjUxlCCJEe9W5blkW/n2Tj7su0qBeod3le7s5MG1qXr779nVxVp/JNhwp806E8mZ0dDVDbhDzcMrFoYjOqfrWIDTsv8WWdIga/hhBCpJbYwKCL2NWcPn78mOwxseHi+vXr7N+/n6xZNe9lnjZtGlWqVOHUqVNEREQwZMgQLl++TGhoqModvjWl1SybJ0+e0K5dO/Lnz0/16tU5ceIEO3bsoGbNmkDMZh39+/enV69elCxZkocPH7Jr1y4yZcqkU+VsbW0ZP348Hz5YdleaEEKktqIFvahVMS8dhqznp+VHDbIq3xe1A7i5dxDtm37GlIUHKVxvFjfuvjBAbZOqXNqfOpXy8d2MXWqHU8iytUKItOCff/5h7ty5nDt3jrt377J//37atGlD7ty5E/ReFChQgI0bNwLw6dMnvvzyS06dOsXq1auJiooiJCSEkJAQIiIi1F6zUKFCXLhwgdKlS1OzZk3Cw8Np1qwZZ8+eJXfu3Dq/Fq16MBYvXpzi8wqFgjFjxug8yeXOnTtJHmvdujWtW7fWqTwhhEjPNs77iuEzdjJgwlbWbjnPTyMbUqZoTr3K9PZwZtaIBgzqXImaHRZTs+NiDq/tTg5PF/Una+nHEfUp23w+Lb9Zy+Zf2ms81EsIkbok5BuGo6Mjf/75J6NHjyY8PBwvLy/q1KnDunXrEsyHCA4OjttH7sGDB2zevBmAYsWKJShv//79VKlSJdnrRUZGUqtWLRYsWKB2joi2LHudMCGEEMlydLBl1ogGHFrTjYjIKMo1n0/HIX/w+GmY+pPVyOHpwq5lX6NUQsVWCzh6OulqI+8/RDJx/gGW/3mGt+HJd+8nJ79/NtbPacPe4zfpM26z3hs/CSGEOStSpAj79u3jxYsXfPjwgdu3bzN//nyyZ8+e4DilUknHjh2BmLkbSqVS5VdK4QJiRgpdunRJ7eRxXUjAEEKINK5iST9O/tmbX8Y1YdvBYPLXnsmS9af0brDn9MrMoTXdyOnpQpWvfuWHefuIivpvKNbR03f5/sdddBq2nrLN53P9znOtr1G9fB4W/tCUX387yerN5/SqrxBCiITat2+vdoSSLiRgCCFEOmBtbUW3VqUJ3vUtzesWoct3f9K6/zruPnypV7k+3pnZv6oLw3tUZvRPe6nVaQlPnsfsT/Ey7D0AR3/rwaeoaGp2XMK79+rHBCfWsVkJqpX1Z8XGs3rVVQghREIRERHMnz+fEiVK0L17dwYOHJjgS1cSMIQQIh3J4uLI4olfsG5WK3YeuU6uqtMo0mAWANduP9OpTBsba8Z9U5O9Kzpz5eYzqrT9lcdPw/DLngWA2w9C2fprBx4+CWP15vM6XSOPnxtPXpjrBmNCCGGZLl26xGeffYazszPXrl3j7NmzcV/nzp3TuVy998EQQghheVrUC6RWxbwcOHGbI2cfAjFzKTb+3IoqZfx1KrNKGX8OrelG1a9+pXGPlRxc05WW9YrQfeQmjq7rTuZMDvy49Ag37r3gi1qFKa3FhPPCedxZ/McpmvddzYSBtcmXS7clH4UQhiUTvC3b/v37jVKu9GAIIUQ6ldnZkSY1CzHp29oAlP/MlyY9V3Lwn1tqzkxeHt+sbJrfjovXntB77BZ+ndCMvL5ZqdFhMe2aFKdwXnemLzpM2ebzuXlP8yVuu7UqzcjeVTl65h7FG83m2Jmkk8qFEEJo7o8//qBt27a0aNGChQsXGrRsCRhCCKEFpVLJ2r/PM+mXA3FzDdKKldObU6pIDmp3WspvWy/oXE6JgOz8Mq4JyzacZtXmc+xZ3pm8fm78+vtJurYszaOjwwC4cDVEo/Ku3HhK7U5LGDd3HyHP3qBQKPhjx6W45029k7cQQliahQsX0rJlS06dOkVwcDA9e/Zk+PDhBitfAoYQQmjhwIlbtB34GyNm7mL4jF2mro5BZcrowNZfO9C8bhFaD1jHjMWHdV5pqkOzz+jVtizf/PA3wbefs3vZ11QulYuG3VewL+gWmTLac13DTfpaD1jHk+dvmT+2Ce0aF+dTVDSnLjzQqV5CCGEJPn78SLFixVAoFGrnQiiVSsaMGYO3tzeOjo5UqVKFy5cvp3jOnDlzGDFiBMHBwZw/f57Fixczd+5cg9VfAoYQQmjByipmvfASAdlZuekst+6FmrhGhmVnZ8OKac0Z2q0yg6dsZ9RPe3Qua+bwenxWyJtBk7eRwdGOjfO+onX9QNoO/I034R/Zuv+q2jJCX73jQnAI3/WsSteWpWjXpDgRkVH8c+E+b8M/Su+FECYm/weNY8iQIXh7e2t07NSpU5k5cyZz587l5MmTeHp6UrNmTd68Sb6X/datW3Tq1Cnu3+3atePjx4+EhGjWs6yOBAwhhNDC56VyUa64D2/DP2JrY8XG3Sl/SmSJFAoFkwbVZvLgOkyYt58f5u3TqRw7OxtqVczLjbsviI6OxtbWmiWTv+DnMY0AePchUm0ZQefuA1CuuA8AVcv642BvQ+SnaJb9eUanegkhhDnbvn07u3btYvr06WqPVSqVzJo1ixEjRtCsWTMCAgJYvnw57969Y82aNcme9/79e5ycnOL+bW1tjb29Pe/evTPIa5BVpIQQQgsKhYJpQ+tSsdUCAF69+WDiGhnPkK6fExH5iVGz9mBvZ8PgLp9rXUatinkZ//M+Wg9Yx8eIKEb2rkbPNmVpVb8on6Ki1J5//Nw93LJkILePKxDTg2RrY03+XG70n7AV78ASfPGF9vUSQhhH4h4Ni1xlKqWhocqYRn1YWFiCh+3t7bG3t9f70k+ePKFr165s2rSJDBkyqD3+9u3bhISEUKtWrQR1qVy5MseOHaN79+7Jnrto0aIEIePTp08sW7YMN7f/Vunr16+fTq9DAoYQQmip/Ge+NKhagL/3X6VaWd2WdLUU3/eqxseIKIZO3YGdrTXfdKig1fnlP/OhdqW8XLn5jPB3ETTvt4Z/t/cni4ujRuefufSQzwpnR6GIGZp25eZT3oR/ZNzkPqxdt5fWbX5gyuSufPPNF1hZSae8EKaQ0jCp2OcsJWjsfXoZbnzgg2cm1QecesC1p2G4uLgkeHj06NGMGTNGr2srlUo6duxIjx49KFmyJHfu3FF7TuyQJg8PjwSPe3h4cPdu8qvt+fj48OuvvyZ4zNPTk5UrV8b9W6FQSMAQQojUtPbHVoQ8f0Nun6ymrorRjfumBh8jPjFgwlbs7Wzo0bqMxucqFAq2L44Z57tp9780672KYo3m0KN1Gb7pUD4uOCSneGFvJv1ykGa9VjG46+fsuvyOTJkyUKtWSerWLY2nhysDv53Pvv1n2bRxPNbW1nq9ViGEccQPIYqwcBPWJGVP917APYcXPAoDb+eET758D8HPuHjuAj4+PgmeSqn3YsyYMYwdOzbF6548eZJjx44RFham02pOiX+WKpXKFH++ahJe9CEBQwghdJAxg126CBcQ84tryuA6RERG0Wv0X9hYW9GlRSmty6ldKS8dm33Gs9BwBk7cSrGCXmo39Rvdpzr+OV2Z+ushKrT8BYCWLavi4GAHwI8/9qZChQCatxjLrl2nqFtX8/AjhBCJZcuWDYp5wfF70KwwxG+kn7gHBdwJCAjQqsw+ffrQqlWrFI/x8/Pjhx9+ICgoKElYKVmyJG3btmX58uVJzvP09ARiejK8vLziHn/69GmSXo3UJAFDCCGEWgqFgh+/q09kZBTdvt/IheAQpg+ti52d5r9GHB1sWTL5S5RKJQXr/MjiP06pDRi2ttZ8/WVJOg7uyf7953j8+AXVqhVPcEyzZpUoXboA/b6Zy9lKgTg5aTb8SgghVHl34BoZsmWGGy8g7//nIzwKg4dhPHnwWOvy3NzcEsxrSM7s2bP54Ycf4v796NEjateuzW+//UaZMqo/PMmVKxeenp7s3r2b4sVjfjZGRERw8OBBpkyZonVdDUUGrAohhNCIQqFg7uhGzBnVkAXr/uHzNgt59CRM/YkqyuncvCTrd1zi5ev3Gp1jbW1NjRolaNeuFtmzZ0vwnJWVFatXjeDx4xe0aj2ejx8jtK6TuboUeoJLoSdMXQ2RDihvBCX5Sq8cHR1ZOncB/PMAoqJjJn0fvwfFvHF3dzfadX18fAgICIj7ypcvHwC5c+cmR44ccccVKFCAjRs3AjE/T/v378/EiRPZuHEjly5domPHjmTIkIE2bdoYra7qSMAQQgihMYVCQe+vynFkbXfuPnpF/wl/61RO+ybFiYqOZvXmcwapV5482flzw1j27j1Di5bjiI6ONki5ppI4WEjQEMaUnsNEctq1awd21nDpCdwMhXcRhB8INnW1AAgODub169dx/x4yZAj9+/enV69elCxZkocPH7Jr1y4yZUpmonoqkIAhhBBCa6UCczB5UB3W77jEifP3tT7fwy0TjaoVZMrCg/yx/SLPQ/Wf9FmrVin++H00mzcfY/LktRYbMlIKEhIyRGpKz8HD2tqanWs2wumHEHSPJXMWaLRsrCH5+fmhVCopVqxYgsdjV5uKpVAoGDNmDI8fP+bDhw8cPHhQ63kihiYBQwghhE6+alyMIvk9GTFjp07nzxheD/+crrT8Zi2e5SdSv8syHj/VfshVfA0alGPwoJaM+H4x+Qt0YObMPwgN1a9MY4rtmdAmOEhvhkgtxtqle/ly3X5mpLZatWqBe0aws6Z9+/amro5RVKlShRUrVvD+vWbDVTUlAUMIIdKZJ8/fsOzP0xw+eVuvcqytraha1p87D1/pdL5v9iwcWN2VOweGMGdUQ7Yfusa+oFt61QlgypRuHDk8m9KlCzBs+K/4+rXm/PmbepdraMmFhABXzVbCkpAhLFFISCj9vplr6mpo7NOdUCKfhKXZJbBLlCjBkCFD8PT0pGvXrgQFGabXSgKGEEKkMwt/O8nXwzZQtd0ijSdZJ+fkhQeUDsyh/sBkKBQKfLwz071VaQDC3+k/QVuhUFChQgCrV43g/r11+Pt70farCbx//1Hvsg0lcThIHCq0CRnJBQ1dekdE+qSqp8JYvRenT18zSrnGYm1tjY1N2l10dcaMGTx8+JAVK1bw7NkzPv/8cwoVKsT06dN58uSJzuVKwBBCiHTGJZMDANHRSrYd1H3SYkTEJ85cfkTpojkNUq98udyYveIYr8IM11Xv4eHK6lUjuHHjIcOH/6r+hFRgjAZ//DChKlRI0BDaMEa4uHHjIdu2BXH58h2tlrcWxmdtbU3jxo3ZtGkTDx8+pE2bNowcOZKcOXPSpEkT9u3bp3WZEjCEECIdiYqKZtuBYNyzZqREQHY27/1X57K2HbzGx4hPVCmdS+96WVlZ8df8dly785zlG8/oXV58AQG5mDK5Gz/N/pNdu04atGxj0rQXQxsSMoQ6hgwXly/fZtas9QwaNJ+8+dpRv8F3DB22kIiITwa7hjCcf/75h1GjRjF9+nTc3d0ZPnw47u7uNGzYkEGDBmlVlkRIIYRIRyb+coBdR66z9sdWLN1wmvcfdP9F/+PSI1Qs4UuxQt4GqVuuHFn49CmaTBnt1R+spb59m7J1WxAdOk7hyOGfyJ07u8GvoauUgkSAaxkJBSJVGKPXotLn/Xn58g0AtWqV5OjRS4SHfzD4dYTunj59ysqVK1m6dCnXr1+nYcOGrFu3jtq1a6P4/y7mLVq0oEmTJkyfPl3jcqUHQwgh0hE7W2vsbK35atDv7DpyndJFdZs/cfLCAw6fukP/jhUMVrdopZKMGew4d0X7nXLVsbKyYvmyYTg7Z6BCxX5mOek7OcboyRAiNWTO7BT3d4VCERcubt5YZaoqiURy5MjBokWL6NChAw8ePGD9+vXUqVMnLlwAlC5dmlKlSmlVrgQMIYRIR4Z2q8yDw8OYMrgOtSvlpX2Tz7Qu41noW7qO+JPcPq40rlHIYHVzsLdlVJ9qzFsdxP3HrxI8Z4j1+L28snL40E9kz+5G5Sr9WbFiF69evdW73NRgqJAhYUWkpj83jKVwYT+yujqzc2fM8MRfF36Lm5uLiWsmYu3du5crV64wePBgsmXLpvIYZ2dn9u/fr1W5MkRKCCHSGTfXjAz8uiIDv64IQGSUdud3GrqBC8Eh5PZx5eXr97i5ZjRY3UoH5iA6WqnX0K2UuLtnYf++mbRu8wMdOk7Gxsaaxo0rULCAD6fPXCNDBgcCi/hTrlwhypQpiLOz4V5brNhG/qXQE7IkrUizlEolO3ee5PLlO3GPzZzRky5d6hMWpv/GmsIwKlWqZJRyJWAIIUQ6t3X/Vay8CzB35TGcHK3xzOZEkXye+GbPnKCb/MipO4yevYf9/9+r4ua9UP69+ZTPXfWf5B3L6v/XC3ubdJy28kaQQcaJOztnZOvfk7h37wmbNx9j6rTf2LXrFJUrB/Lq1Vtm/bSB0WOWoVAo6N2rMXPm9NP7mqqkdm+C9F4IY/r4MYK2X01k+/Z/8PX1IDLy0/9Xb2vD2rX78PJypX//L01dTQEUL148wc/2lJw5o9uiGxIwhBAinRs3dy9jJjZh8sJDPHv+Ku5xZyd7AvN74pYlI/dDXnP60sO45yYMrMWImbvwdMtk0LqULeaDZ7ZM9Bi1ie2LO5LN1SnB84YKGQA+Ph706dOUHj0aERUVhb29HQDR0dFs2HCIFi3H4e6exSDX0of0XghL8OjRCzZsOARAzRoliIz8RO9ejRkwcB6OjvbcvrXGxDUUsZo0aWL0a0jAEEKIdK5JzcIAjOhZhe4tP+Ppi7dcDH7CheAQLlx9zKuwDwQW8KRf+/Lkz+VG+Za/8Pf+qwDMWXmM2SMbavxpmDp2BSuwY9dMatcZwuetF7Jz6df4eGc2SNnJsbGxxsbmv116raysuHz5DlmyZGLYsNZGvbY6hgoX0nshjC1XLi9+XfgtXbvNwNfXg27dGpDJuT4Agwe1NHHtRHyjR482+jUkYAghRDr3beeK7L0FI2buYv6qI6yc3oJ6VfJTr0p+lcdvW9SRzsM3APDzqiByeLowtFtlvesR2zNRtGhujhyeTc1ag6nUegGrZ7SkYkm/BMcY2959Z6latRi2tqb7NSnhQliaLl3qc/36QwYN/oXde04DEBjoz5gxHRIcp7xlOfvRCN3IKlJCCJHO2f2/EX14TTecnRyo3PZX/th+Mdnja1XMy429g1g86Qu+7VyJJgZYSSpxcMiTJztHDv+Et483n7dZSMcfDvA0Uz69r6OpsLBwsro6p9r1EpNwISxVmTIFUCqV7NjxDwC7dk6N6+FU3ggyyIpwQj+urq48f/4cgCxZsuDq6prsl66kB0MIIQQAhfN5cnBNVzoP30DLb9YSdO4+Y/tVx0nFxnf2djZ0+qKEUeuTPXs2jh2dw5Il2xk2/Fc2bTrKgl8G0KpVtbhjYhsrhu7ZKFkiPyf+uWLQMlObhAthCsuX74r7+9o13+Ph4Sqhwsz8+OOPZMoUM39u1qxZRrmGBAwhhBBxHOxtWTWjJcULZ2fUrN2s33GRn75vSJOahtvvIrGUwoGVlRVdutSnWbNKfNVuIoMG/0KLEo5J5nwYcvI3xOw6vGTpdm7efGg2u37Lrt7CXFy7dp8DB87TuXNdrK3/m7/0/Plrtm6LCRMZMzrQqlU1CRdmqEOHDir/bkgyREoIIUQCCoWCQZ0rcWlrf4rk86RZ71XMW228RoImDRBXV2f69mnKw4fPuRalusFvyIZMgwZlyZrVmf4DfkapVBqsXH1oGy4kjAhj2b37NN17zCR/gQ5cvnw77vElS7YTFRUNwOpVIyRcWJj3798TFhaW4EtXEjCEEEKo5O/jypaF7enashTDp++MaziYSqVKgdja2rBtW/INZ0ON8c6Y0ZEliwfz999BcUtvphZDBoNLoSckaAiD69ChNgA3bz6iSGAX2rT9gQULtjB6zLK4Y+oXMMzKcsK4wsPD6dOnD+7u7jg5OZElS5YEX7qSgCGEECJZCoWC1g2K8ib8IxeDQ4x2HU1CgZOTIy1aVGHqtHW89QjUuzx1GjWqQJMmFWjXfhJ//XVU7/JMSUKGMCQnJ0eGDW2NjY01SqWStWv30aPnj2TJErNvzcQJXbC2liamJRgyZAj79u1j3rx52Nvbs2jRIsaOHYu3tzcrVqzQuVz57gshhEhR2WI5ye7hTL/xWwi+9cykdZk4oTOvX4czduxyyG38Scxr14ykQYOyNPtiNKNHL+PTpyijXs+YQUB6M4QhDR/ehv7ffEHJkv8tZ12hfAAAffo0MVGthLa2bNnCvHnz+PLLL7GxsaFSpUp8//33TJw4kdWrV+tcrgQMIYQQKXKwt2XZlC+59/g1AfV/omTTuTTpuZIflx4h9NW7VK2Lj48H3w1vy4yZfxBYtAv77tole6whejEcHOxYt3YkY0Z3YMLEVeTN146uXaezatVuHj40bdjSlQQNYQjOzhmZNq0HJ/+ZT9jrv3F0tOfvrTH/5zJlymDi2glNhYaGkitXLgCcnZ0JDQ0FoGLFihw6pPvwUAkYQggh1KpePg9Xdw5gzqiGlAjIzvsPkQybvpO8NWdw5vJDg1xD00Dw/fdfsW/vDLJmdaZGzUFMnH9A7zJTYm1tzciR7Qg6/jP165XheNC/tGs/iUKFOwEwYcIqva9hCNouSyshQxhKSEgoERGRfPgQYeqqCC35+/tz584dAAoVKsTvv/8OxPRsZM6cWedyJWAIIYTQiIO9LT1al2HB+KbsXPo19w4OIa9vVmp3Wsruo9cJefYmVeqhUCioWrU4+/bOoHr1z9h64GqKxxtqJZuSJfMzd+43XLq4hKdP/mTliuEATJ22jn//vaN3+fo0+GPDhYQMYQrfjVhEzpzucf9++/a9CWsjtNGpUyfOnz8PwPDhw+PmYgwYMIDBgwfrXK4EDCGEEDrxcMvEtkUdyeHpQu1OS/GuMIlcVadq1KNx6VoIa/8+r9f1rayscHbOwOs3H/jwMVKvsrSVLVtmGjWqEPfvCxduper1DUlChtDHixev+fPPIwzo/2XcY0+fvjRhjYQ2BgwYQL9+/QCoWrUqV69eZe3atZw5c4ZvvvlG53IlYAghhNCZa+YMBK3vyamNvVk/pw3ZsmSkftfl3HmQfAMjKiqawAazaTvwtyTPadvbMKD/l9x68Ioveq8m+NYzZi45Qvi7pMM0jLkef6FCvnFjz/UR4FpG5VdqkJAhdJUpUwY8PbNw9eq9uMeePJGAYal8fHxo1qwZRYsW1ascCRhCCCH0Ym9nw2eFs9OsdgB//9qBDA62tB6wLsGKSyHP3nDywgMuBocwYOLWuMejo/XbW6NSpUC2bJ7A/hO3KFjnRwZN3kbZ5vO4cuNpkmONFTJat6rG778f4MYNw8xFSSw1Q4YEDaEtOztbGjeqwP4D5/DyygrEBAxFnrImrplQJzo6miVLltCgQQMCAgIoUqQIjRo1YsWKFXpvMCoBQwghhMG4Z3Vi1YyWnLz4gLqdl7HtQDBtBqzDp/IUynw5j6INZzN35XHqVMoHwIOQpDvFahsEatQoQccvSgDg5Z6J6Gglpb+cp/cQLE117VofD48s9Oo9y2iTXDUNGYYICJqUIWFExFe2bCGuXr1HwYK+AFy79sDENRLqKJVKGjVqRJcuXXj48CFFihShcOHC3L17l44dO9K0aVO9ypeAIYQQwqDKFfdh++KOXL31jAbdlnPq0kOmD6vHmU19OP5HT/7d3p/VM1tiY2PFsj9PqyxD25CRu1gxAEJfvef32W1oUqMQbQf+xtyVx/UqVxOOjg4sXjSIw4cvUvyzbjRs9B2Vq/SnSGBnigR25sCBcwa/prGlFB7iPychQwBUr14ca2srXF0zAbDhT92XNxWpY9myZRw6dIi9e/dy9uxZ1q5dy7p16zh//jx79uxh3759stGeEEII81KzQl4ubevP8T96cnXnAPq1L0+xQt6UKZqTArndyeLiyMBOFflh3n6Czt1TX6AasZt9fYz4RM9Rm1g6+QsaVC3An7su6V22JmrVKsW+vTMoVSo/CoWCnDndqVqlGFmyOFGr9hCWLdth1Osbo0dBVZkSKIQq2bNno2LFIrx5E7Mvzj//XOXlmf0mrpVIydq1a/nuu++oWrVqkueqVavGsGHDZKM9IYQQ5sclkwNliubEykr1r5rx/WtSMiA7Lfqt5dTFpEMqtOltqFKlGHNm9wXgyOm7/Lw6iDLFcnLm8iMeP006DMsYypUrzIrlw9n81wRWrfyO2bP7snfPDDp2qE2nr6cyYsRineecmLJhHxs0JFyIlBQs4MPjxy/i/r3z8HUT1kaoc+HCBerUqZPs83Xr1o1bvlYXEjCEEEKYhK2tNX/MboNXtkxUaLWAmUuOJGmAaxMy+vRpyqqV31GzQh4qlfTjq0bFyJTRnsptf+Xde9NsAGZra8OCBQOZNrU7kyavYdGibSaphxDGli9fDq5ff0injjGN1q37U96fRphWaGgoHh4eyT7v4eHBy5e6rwYmAUMIIYTJZPd04fDabvRrX55Bk7fRqPtKnoW+TXCM8kaQxkGjbdsa7Dq8kM8KZ8c3exZWz2zJjbsvuHrrmTGqrxGFQsGgQS1p1Kg8vy7aqv4EISxQYGBu3r//SL58OQBYtfkcUVH6rRInjCcqKgobG5tkn7e2tubTp086l598yUIIIUQqsLOzYdrQulQr60+HIX9QrNEcVk1vQdWyuRMcFxsyNFn+UpGnLMobQfjndAVg7/GblGj8heErr4UqlYsybPivvHr1lsyZnUxaFyEMrXLlonh4ZOFKvP0wgs7dp0IJXxPWSiRHqVTSsWNH7O3tVT7/8eNHvcqXHgwhhBBmoW7l/Jzb3I8C/tmo0WEJXw/fwM7D14iMjEpwXGyPhrpeDUWesuSsWJs+vZswevY+IiN1/zTOEJo3r8zHj5FkcW3E9euaL+Mpcx+EJbCxsWbwoJasWrWHQnncAfhbhkmZrQ4dOuDu7o6Li4vKL3d3d9q3b69z+dKDIYQQwmx4eziza+nX/LjsKAvWnmDZhtO4Z81Ipy9K0q1lKXL9v0ciVvyQkVzPRrNmlZj78yYuXrzFZ5/lM2r9k6NUKpk8eW3cv7v3mMm+vTNNUhchjKVv36b8smALkZ8+ALB+x0UmDapt4loJVZYuXWrU8qUHQwghhFmxtrZiUOdKXNv9Lac39aFl/UAWrDtBQP2f+PfGE63Lq1AhAF9fDyZPWav+YCP56acNzP15EzOm96Rf32a0+6qmxuem1k7eujDnuonUZ2dny4zpPbh+J2Y1qZv3Qnn/IdLEtRKmIAFDCCGEWVIoFBQv5M1P3zfk3sGh+HpnptPQDXz6FJX02BTmZdjZ2TJqZHv++OMgly7dNmaVVTp+/DKDBv/CoG9bMHBgc376qQ+dOtXVqgxpyAtL0bBheWrUKIFCoQDg/uPXJq6RMAUJGEIIIcyeU0Z7lk75ktOXHzL118Nan9+kSQUAgoPvc+jQeewdatO+wySiopKGFUN69+4DHTpOoWTJ/Eya1FWvsgJcy5hV0DCnugjzoVAo+HFmLxQKyOhoy8Xgx6aukjABCRhCCCEsQpmiORnS9XPGzt3LhavaNVqsrWN+3UVHR9On7xwiIiJZuXK3yt4QQzp48DzXrz9g7px+2NhYG6RMS23Yx27Wd+XlKVNXRRhZQEAuNqwfS/j7SP48rv2wRmH5JGAIIYSwGKP7VqeAfzY6Dl2fZHWplMTuJv7u3UcuXrwFQMaMDkapY3yenjGT0nXdwTs5lhgyYntgCmYpaeqqiFTQpElFihbNTWYXJ42WlhZpiwQMIYQQFsPezobFE5tx7spjNu35N+5xdUvWZszoQLZsmdm3/ywAbm4uvH2zDXt7O6PW19/fC4Bbt9LeMBFZPleo8/TpKzw8sgCa7V8j0g4JGEIIISxKySI5KB2Yg1V/ndX4HCsrK2rU+IyjRy4B8Ptvo4xVvQRcXJxwdXVOkwED/hv2JERi0dHRPH36Enf3zHGPSchIPyRgCCGEsDitGhRl+6FrfIz4b/M8db0Yzb+szM1bj1izegRVqxY3dhXj+Pt7cf2G6o31Pn6MYNSopXHDtrRhTsOkYoOGBA4RKyQklKio6LhhgrEkZKQPEjCEEEJYHB8vFz59iib8XYTG5zRpUpH69cvy7aBfePXqrRFrl1D1asVZvXovBw+eT/D4pUu3yZe/PeN/WMmmTUdTrT5CpIaNG49gY2NNpUqBSZ5T+JcyQY1EapKdvIUQIgWJP21T9ym5SB1OGe0BuP3gJa6ZM2h0jkKh4Jf5Aygc8DUDB85jyZIhxqxinPHjv+bU6WvUqTuUNq2r4+Bgx/Ggy5w9eyPumK5d6+tUdoBrGbPrMTCnnhVhOqvX7KF27VK4ubmYuirCBCRgCCFEPOq671MrcKiqh4Sb/1Qs4UvWzBno/8PfHF7XXePzcuTIxvRp3enWfSaXLt9m+LA2NG1ayYg1BVtbGzZtHM+MGb/z+x8HUCrhypW7ANjYWDNlcjcGDf6FPLm9GT26Q9wGZZoyRMiIDQWGKkekb8eOXeL48X9Tba6TMD8SMIQQ6ZYhxgIbMghoE27Se9jI4GjHsO6VGTFzF1FR0VhbW2n8/ezSpT4eHlmYPuN3WrQcx+tXW8iQwbhL1jo5OTJ6dAdGj+4AwFftJrJ69R4+fYri20HzyZnTndWr9/DFF59TpIi/UeuSEn3CioQL/cTed0u/j9HR0QwYOI/PPsvLF198burqCBORgCGESFdSY4KhNkFA1/oo8pRN9yFDCdjaWmNlFfOJv/JGkEb3U6FQ0KhRBbJnz0bJUj04e/YGFSoEGLm2Cc2c0RMX54x4e2elQoUAypQpiKfXl0ydto4li4dga6vdr2dzHColNBf/e3cp9IRFh4y1a/fxzz9XObD/x7j9Z0T6I995IUS6YYrVSxR5ysZ9Jf63vvVJ76ux3LofSu6crloPKYoVGOiPl1dWli/faeCaqefunoWff/6GESO+okqVYjg62jNtanfWrdtPgYIdWLFiF1FRxt1lPL7YBq4+IUUCjuFY6r189+4Dw4b/StOmFalcuaipqyNMSKuAMWnSJEqVKkWmTJlwd3enSZMmBAcHJzimY8eOKBSKBF9lyyb8JRgcHEyFChXIkSMH48aNS/Ccn58fCoWCoKCEn8z179+fKlWqaFNdIYSIYw6NcWPUwRxelymMnbOXc/8+Io9vVp3LsLW1oVfPRqxctZsXL14bsHa66datAWdOLyAw0J8OHSdTOOBr/vjjAEqlUqPz9f3U2xCNWk3KuPLyVII/RdoxY8YfPHnykqlTNJ8XJdImrQLGwYMH6d27N0FBQezevZtPnz5Rq1YtwsPDExxXp04dHj9+HPe1bdu2BM/37t2bdu3a8ddff7FlyxaOHk24PJ+DgwNDhw7V8SUJIURCab0RntZfX2LPQ8MZO2cvJ87dJyCfh15lde/eEKVSyaJF29QfnAqKFPFn45/jOXXyF3Ln9qZFy3F07DRF42V1zWFoTUp7YSR+3FI/qTc0c/i+6ev589dMmbqWvn2akidPdlNXR5iYVgFjx44ddOzYkcKFC1O0aFGWLl3KvXv3OH36dILj7O3t8fT0jPtydU24ycqrV68oXrw4gYGBeHt78/p1wk+OunfvTlBQUJJgIoQQ2kovje/08joBzl2J2RVbCQTm99SrrGzZMtOmdXXm/ryJiIhIA9TOMEqUyMfWvyexcsVw1q8/hKfXF7RoOZbNm4+qrae5NFYTb7wnYSJlsd+3ANcyZvM91MaqVbuJiPjEsGGtTV0VYQb0moMRGwwSB4gDBw7g7u5Ovnz56Nq1K0+fPk3w/Lhx46hZsyYZMmTAysqK2rVrJ3jez8+PHj16MHz4cKKjo/WpohAiHUtPje705NzVx3F/DyzgpXd5Awc258mTl3T6eioREZFMm7aOgwfPazw0yZi++qomN66vpGePRvzxx0EaNxmJl3dzBg2az9u3701dPY1JuNCMJQYLAKVSyZKlO2jUqDzZsmU2dXWEGdB5FSmlUsnAgQOpWLEiAQH/rb5Rt25dmjdvjq+vL7dv32bkyJFUq1aN06dPY28fszFSvXr1ePbsGWFhYWTLlk1l+d9//z1Lly5l9erVtGvXTqu6RUZZERll2PnrseUZuty0Tu6bbuS+6Sb+fVP4l4JI0zcQU5NSx/eLpb3fjp97hKOjI3a21uT0zpqg3godvuf58/uxZvVIOnScgp3tLH77/QAAjRqVZ/myYcmuhBP5/2tFGvl95ubmStmyATgujOnVf/8+knnz/yYqSsHUqarHuufPVNps5zhEf7JK8Kex719akVrvN12cO3eDGzceM3FCN43qZ46vQRiWQqnjRzS9e/dm69atHDlyhBw5ciR73OPHj/H19WXdunU0a9ZMbbl+fn7079+f/v37M27cOJYuXUpwcDBDhgzh3LlzHDhwINlzw8LCcHFxYc2aNWTIoNnOrkIIIYQQIvW8e/eONm3a8Pr1a5ydnU1dHWEEOvVg9O3bl82bN3Po0KEUwwWAl5cXvr6+XL9+XevrDBw4kHnz5jFv3jytzquZ9xrOTobdNCkyyoo9N/JRI881bK1l2Jam5L7pRu6bbmLvW80aTtja6rZ0qSVT3jqp03mW9H67fuc5pZr9HPfvM3/1xT/nf8N0Ff6l9Cq/fYdJHD16kdev3xEZ+Ynu3Rom20sQGalk9563qfZ+e/ToObVqD8HGxpqtf08ke3bVIwDiM8dejOhPVtw9lRffktexsommYJaSpq6SRUjt95s2atQcRM6c7ixdMkSj48PCLKO3VOhOq4ChVCrp27cvGzdu5MCBA+TKlUvtOS9evOD+/ft4eWk/TtbJyYmRI0cyZswYGjZsqPF5ttbRRvslacyy0zK5b7qR+6aZuD0mIpVw4w22tgqz+wWcGpR6vlcs4f3245IDvH//HvesGVEoFAyf+jdrZ7XC3i7m15lCz+/72DHtyF+gAyO+a8vfW4PIk8dT7Xsptd5vvr7Z2LljElWqDqB6jQHs3zcTH5+UV9EKdI8JXOY4B8LKJhorm+h0+X9VH+b28y0sLJyjR8/z89xvNK6XOdVfGIdWEbJ3796sWrWKNWvWkClTJkJCQggJCeH9+5iJZm/fvmXQoEEcP36cO3fucODAARo2bIibmxtNmzbVqYLdunXDxcWFtWvX6nS+ECLtMsRmdcJyfPgYycpNZwF4+iKc1g2Ksu1gMJVaLeD2/VCDXCOP4gGumR2xfRvC2T8606u2p1ntmO7n58nBAz8SHa2keo1BfPqk2WZ8lroykTB/hw9fJCoqmmrVipu6KsKMaBUw5s+fz+vXr6lSpQpeXl5xX7/99hsA1tbWXLx4kcaNG5MvXz46dOhAvnz5OH78OJkyZdKpgra2towfP54PHz7odL4QIu2RYJE+2dvZMG1oXYr+f+WodVsvcPS3Hrx49Y4STeeyee8VvcPAkVN3CH31njJFcxqiykbh6+vJT7N6c+PGQ54+fWnq6hhdSvtqCNPbt+8sOXJkk70vRAJaD5FKiaOjIzt37tSrQnfu3EnyWOvWrWndWtZVFiK9kjAhABQKBX3bl6dprcL4fD6FkGdvKJTHnVMb+/D1sPU06bmSzQva01CP98vSDafJn8uNWhXzJnhceSPIrN6HBQv6YmVlxcKFfzNmTEeNzwtwLWMRjXVVdYx9THpidHMp9IRR7t2+/WepVq04CoUMexL/kVk2QgizZk6NOnNmTsN4jC27hzNZXBwBaD1gHZ+iopgwsBZF8nkwYd5+du8+xa1bj7QuV3kjiEdP31A4r4fZN5by5s3B6FHtGTtuBc1bjOH27cfqT/o/c2ugxw8TmvRWWEJAMleGvncvXrzm/PmbVKsqw6NEQjrvgyGEEMakS7CIWUWpAMpbJ1FaR0s4SaMUCgVn/+qLX5WpbN57hc17rwDgksmB128+UKv2EBwd7dmzexrlyweoKS0hvxxZ2HvsBkqlMknIMLdejJEj2+Hn58l3Ixbhn7st3t5ZKV++MF80+5xnz15Ro0YJChb0NXU1NaJtw9dYn8YL7cRuSFm1ajFTV0WYGenBEEKYHZ3ChYpP8NPTp/rpjY93Zk5v6sOC8U3iHnv9Jmau3uTBtSldugD1G3zHyZNXtSq3YdUC3LwXytWbzwxZXaNQKBS0b1+L4KvL+eqrGjx69IL16w/Rus0P9PtmLhUrfcPHjxGmrqZIw/btO0vu3N5qVzMT6Y8EDCGERVPeCEoxSEjISLuKF/Kma8vShF8Yy4heVbGyiulxGDZtJ53q5yV//pxUqNiP6dN/Izpas+V3q5XLjaODLVv2axdMTCljRkd+mtUnwWPe3lkJDQ3j9OlrJqqVMDfGWEls3/5zMjxKqCQBQwhhsTQNDxIy0jZHB1vG96/Jxb+/4fNSfgCEPHvLoYOzGND/SwYPWUDNWoO5evVeiuUo8pTF0cGWWhXysGLjGd69/+/T/9BX7/isxRJ8fFuxZcuxBOctWrSVwYN/ISpKsyVjjcHV1ZnoqL3Mn9cfgEePXgCQPbtbkmN1HYd/9PHdBF+GJMOdLE9k5CeCg+9TsmR+U1dFmCEJGEIIIdKEgnnc2b+qK3uWd6Zf+3LY2dkyZUo39uyezp07IRQJ7My3387n9eu3yZahyFOWUX2rc/fRK9oM/I2oqJiej/13rDl37gbu7plp1Ph7evT4kXfvYvaAmvXTBqbP+J3Fi7enyutMjkKhoEePRty7u46KFYsAMH78qhRfr6YMHSjiiw0X2nzCLoHE9B48eEZ0dDS+vjI8SiQlAUMIIUSaoVAoqFYuNw72tnE9V9Wrf8blS0sZN7YTvyzYQr78HViyZHuyw6Y+a9SM32a1ZuuBYIrU/4k+YzfHPTfy+3bMn9efFSt38XnlAQB07FAbgD59ZxMaGmbkV6hezpzuHDo4i4ULBvLb7/spEtiF3btPGfw6hggdqoKCbApoGe7efQIgAUOoJAFDCGGxNJ0Mbk4r/wjTcHCwY/jwNlwLXk7NmiXo3GUaZcv15sSJKyqPr9+lAzt3TKVClVLMWx1E8xZjAYiOjqZHj0acOb0ABwdbAKpXjxmDHhn5ifPnb6bOC1JDoVDQtWsDLl1cTL58OahVewjdu8/kzZt3OjXeK3glXY1K1WOGFBs0JGyYp9iA4ePjbuKaCHMkAUMIYXa0mTORUniQHb9F4vdS9uzZWLXyO44cnk1UVDQVK/Xjjz8OqDy3evXPWLRoUNy8hjp1StOgQTkAChTw4bd1owDoP2AeB/bPZPmyYVSuXNRor0UXvr6e7N41jfnz+rN6zR6KBHZm794zOpVVwcvXoKGiYJaSGh8bP2xI4DAPd+8+IVu2zGTI4GDqqggzJAFDCGHxEgcJhX8pCRYiRRUqBHAiaB4tWlShVesfWLlyV7LHxs5r+HvLBGxt/9s+Knv2bAA8ffqSLl1nULduaayszO/XauzcjIsXFuPv70WNmoNYNfW8xitrJaZv0NAmWIjkxW5KqMnmhMZw9+4TGR4lkmV+PwmFEEJHCv9Spq6CsCA2NtasWD6MTh3r0L7DZL79dn6y+0bkzOmOtbW1yue2b5tMWNg7mjQdadKVpNTJlcuLPbunM3VKN6ZMXcf3fdYTGWm+9dVUetzZW9VrTu2g8fDRc3LkSLpKmRAgAUMIIUQal9KQO2traxYuHMiM6T2Z+/Mmypbrw6NHz7Uq38/Piz9+H8WxY5dZt26/vtU1KisrKwYPbsXaNd+zfeMFBnRYFbdSlrZ0XbL2ystTCf7UlwyZMo1Xr96SJXMmU1dDmCkJGEIIsyR7V4jUYmVlxcCBzTkR9DPPn7+meo1BPH36UqsyPv+8KE2bVqRL1+ns26fbHIfU1KpVNWavbMfhPcHMn7pX6/MThwpd98Yw5RAfS2YOoer163AyZ3YydTWEmZKAIYQQIs3TJLAWK5aHfXtn8OrVW2rWGkxwcMob8yW2ZvX3FCmSi6nTftO1mqmqUo389Blek4Uz93Nkb7DG56UUJPRZulZChuWIjPzE7duPcXS0N3VVhJmSgCGEEEL8X968Odi7ZzovX76lUOGvafvVBK5c0azR7OBgR9MmlTh27DLh4e+NXFP9BbiWofM3lalYPR/De/7O4wevTF0lCRlaSG4PkdRgbW2Fra0N9va2qXI9YXkkYAghzI4sLyuMQdNhd4UK+XH92grmzunL4cMXKRzwNa1aj+fhw2dqz61fvwzv33/Ey7s5XbtO599/7+hZa+MKdCvHxrWTccxgx6DOa/jwPlLtOcbe/0KdxKsnpedQYsrle9+//0i2bC6pek1hOSRgCCHMQmyokGAhzIG9vR09ezbm+rUV/DJ/AIcOXaBO3WGEhYWneF5gYG6uBa9gQP8v2bnrFJ9X7s/9+09Tqda6yZrVhU3rJ3Dt3xD6tVuhUchIberCRHoOGaYQGvqGqKhoPDyymLoqwkxJwBBCmJSECpGatF08wN7ejm7dGrBn9zTu3XvK4MEL1J6TK5cXY8d25OyZBWTI4EDLVuPMevlagNKlC7J96xTO//OAvl+t4P071cv1xkquF8MQvRvxw4I2PRQSMlJPSEgoAB4eriauiTBXEjCEEEIINQoV8mPI4JasWLmL589fa3RO1qwuzJndl+PH/+X69YdGrqH+qlQpxratk7hw8gHf912v9vjEYcJQQ6dih/roEhgkZKSOJ09iVlmTHgyRHAkYQgghhAa6dWuAvb0trVqPJyJCs2FEWbM6A2h8vKlVrlyUJYsHs+uvi+zecknt8fru6i0skwQMoY4EDCGEScl+FyI16TMcL1u2zGzaOJ69e8+wYcMhjc7555+rODraU7Cg5TTCW7SoQuPGFZg6fDuvX2m2GpY5hQzpxTC+J09CcXS0x8nJ0dRVEWZKAoYQQgihoSpVihEY6M+OnSc1Ov7Y8cuULl0AW1sbI9fMcBQKBfN+/ob37z+yZIJmr1MYhiV94GJlpUChUJi6GsJMScAQQpgV5Y0gi/olK9KfOrVLs3PnSaKjo1M87tSpYLZtO0G1qsVTqWaG4+3txvRpPViydDubf7mBUqk0aX3MYefq1GApC164uDgRHv6BT5/Me/ECYToSMIQQJpN4Ban4wUJChjAkQ65WVqdOKZ48ecmlS7dVPh8WFs4338ylTNne5M+fk2+/bW6Q66a2zp3rMWpke0Z8v5ixPXbw7u3HVLlu4pWjYsOFNns9yDAp43J2zgDAmzfvTFwTYa4kYAghTCJxY09VoJCQIQzB0J8KV6gQQMaMDuzZcybJcy9evKZK1QEsXrKNyZO6cCLoZzJmtMxx6gqFgrFjO7Lxz3Hs3HmSjg0X8ibsQ6rWIbndqtNLj4a5cnHJCKB2XxiRfknAEEKkKlW9FikFCRkyJfRhjCEndna21KhRgnW/7Uvw+OXLt6la7Vvu33/GsaNzGDy4FXZ2tga/fmpr0qQiR4/M5vH9MPq2Nc+N+FSRXgzjcXaOCRivX0vAEKpJwBBCpApVQ1S0CQ4SMpIn90Y1Y45nHze2I3fuhACwbVsQnTtPo/hn3YmIiGT/vpkEBuY22rVNITAwN1v/nsi/5x4xuOtasxh7L70YpmNnF7Nowbt3qTNsTlgeCRhCCKNKbuy7Lo1iaUgnJfdENWNPlg0MzM2Uyd0AaN3mB/YfOMfYMR05f+5XAgJyGfXaplK+fADr/xjNkT3BjBmw0SxChjrSi2Ec27f/g62tDQUL+pi6KsJMWc66eUIIi6GucadPo1h5I8hiVloRqS813xudOtVl2/Y3XL60BD8/93SxZGe9emVZtnQY7TtM4lbwE6YtakN2H9lsLT15+fIN06b/Ro/uDXFxcTJ1dYSZkh4MIYTBaLJSjyE+cZdP7WMY+j4o/EsZtLzUZMhVorSVI0f6CBex2ratwfKt3Ql9EU7Hhgu4f/uFyeqiyTCpxKtSpWeGuA8bNx7h9etwhg9vY4AaibRKAoYQwiCkV8FyxQ8Wpmyo68rS6psWFCvly/K/u2Nvb0Onxr9y9+bzFI8/+viuTtcxZDBI7yEj9vXHBi5d78fuPacoWTIfXl5ZDVk9kcZIwBBC6E3TBp4hP3FP770Y6f31g2WGobQiwLUMHl4uLN3cDccMdnzbeY3JN+NTJ7nejvgN7vQWQnR5vadOXaNM6YJGqI1ISyRgCCGEsDgSLMxDNk9nRs9sSvClxxzYcUXlMbG9F7r2YhiTqgZ2WgwZhnxNefNm59btxwYrT6RNEjCEEKnCGJ+4y6f4liG2p8EQoUB6LcxH7IZ3HRu04vPPA1k4c79RejHUNY6NsVxtWgwZydH2tXp6uPL4senm3QjLIAFDCKE3TRr60ig0HGMHK0OWn/j7rmtAkGBhfuI3TL8f8RWXzj7g2P7rRr+WNs/pWqYlSq3XU7FiEc6du8nLl29S5XrCMknAEEIYhCl6E6TBaRjKWyf/+7sRw4WpyxGGFztvwfOzTwSWyMnCmftTPF6fYVLpZTiTuatevThKpZIDB86ZuirCjEnAEGmOfNJpOjJkybLFDxrGpun/Ufm/bBkUCgWNW5XgTNAdoqKijXad9Dwh21z4+nri7+/Fvn1nTV0VYcYkYIg0JX5jRIKGaUjIEKBZMFB3jPz/tSzWNjFNCiurhHuCVPDyVfl3QzHGHAywvN4RY90HVYoXz0vwtfupdj1heSRgiDQltnGrvBEU9yWESF36BgP5cMAyJG7QRkVFY2WlSHbTQWOGC0033NOlbJFUjuxuPHiQ8t4nIn2TgCHSHAkVpiffA+My58a3IcKFsEzR0dFJei9iGSNcJKbNrt6W1juhL0OHJV9fD27ffsyLF68NWq5IOyRgCCGMwtghQxqi5kfX1aH0OV+YVvyGa3S0Eitrq7jlaw3h6OO7yU4Mlx4G0/n886J8+BBB268mmroqwkxJwBAWTRok5i1+yJBeDcMy5N4ShqBPPczpdQjdOWawIzIiigsXbgL6B4D4wSJxyJBwYVja9ug4ONgCsHPnSf75R/UGiyJ9k4AhLJo0Ws2fMebCSGM0IWmgC3NQr1lR8hbyoFnLEbx//1GvYUgpLWcr4cL0ChfOFff3MmV7ExUVZcLaCHMkAUMIIdIICRnClOwdbJmyoBUP7obS+ZtxOpejz14ZQjVNwp62gbB7t4Zxf587d5O2VRJpnAQMIYRFkUZ0ykxxf+R7kr7F71HIU8CDvt/V4rclQdy//cKEtRK60CZk1KlTKu7v/Qf8zM6dqbePjjB/EjCEEBZDGrLqybBBoY9Ro5aSv0B7Zs/+E6VSqVMZLTuVJYtbRhbPPqjT+apWnEqNVajSKm17JjQ9vlq14lhbW+Hm5gJAnbpD+e23lHdyF+mHjakrIIQQQj0JDiI1/Pb7fq5de8A3/eeSK5cnDRuW17oMB0db2veoyJxJu2nfqyL+ed21LqOCl69WQ6WMsezspdATFjHfw1RL7jo7Z6RcucJkzepMhgz2rF27j1atx7Nz50nmzeuPg4OdSeolzKi0R/MAADLoSURBVIMEjHQsuU+DjdmQib1mctdQ9wm1NLJEemIJ73fpVUpb/Pw8yZDBgevXH7B792mNA0aAa5m4hm6AaxnGDAzg92UnaF5lDh16VaRzvypkzGSvVV1iey1SChrGblyrCxnxX7MpmHo/j3p1yzD+h5Vc+XcpYWHv2Lo1iKXLdhD56RMrV3xn0roJ05KAkU6l1ChQ5ClrsIaNwr8UBL9B4V8Khe1/GzDp2igxZN2EZUlvDVl5nwtTGDumIw0bjSA8/AP16mnXaI7fyHZ2zsjVS6sYNHYGy34+xMbVp/lieDmK1/BHEW2NB/k1Ljfx8KjUblTrMkE6NQKHqcMFQK9ejZj10waafTGaJYuHcP/+Uy5cuMWBA+dNXTVhYhIw0hlNGmmGaNjEXSdStzG8qkiDSzem6KkSQlimsmULce/uOs6cuU758oX1KsvJyZE+w2vS7KuSdPjiV/auvEDxGv5xzwc9uUf57Dn0rbJZMnbPhjHChS51dXFxYsf2yTT7YjQlS/UgKioagMKF/QxcO2FpZJK3iGOI/QqMtR6/NIa1p+57kd56BIThyXsobXJ0tKdChQAUCoX6gzXgnTMLtkoFPoWyJXlOlyVpDblTuCW68vKUwcvU534WL56XqVO68elTVNzCAM2aVjJU1YSFkoCRjqTUGDBor4UBGWOTtrTM3HZ3NpS09nrSAvmeiPjUfaIe/jYCp8wOKp8zt30vDBlezGEYkzqGeL01apSI+3uGDA507Vpf7zKFZZOAkY7FNt7NNVwIzekaKizh+2YJdRRCpNyYdnZ24N2biGSf1zRkxG8MG6MXI7bM9NJDounrvBR6QuVXrCxZMvHtwOYAlCiR12C9X8JyyRyMdMRYPQHGagBKz4V6hrj35j5xXnkjSEKGmZHvh9BW5KcorG3kM019xAyN0nxyvKGkFBzjPzdsWBtmzPyD4sXypka1hJmT/+1CWKC0OAwqJeYcgIzFXL+/5lovYb4iI6N48fQtxfyz611WaixLm/jTeUOUqe/58csomKVk3DyU+F+GKFsVTct2c3Nh0LctWLpsBy9fvtGpPiLtkIAh9CKNjdSV3oKFEMLy/TpzP5ERUZQsn0t25NaCqmCREn2Dhj5ir/vtty349CmK6dN/16s8YfkkYAizlB4/sVbHmMHCEkKLvCdMzxLeJ8K87N16mQUz9tFtYFUKFPE2aNnmMIFa00a9tnXVZ18NY4QMTcv09HSl/zdf8OOs9Tx+/EKneoi0QQKGEBbA2A07abybJ3Nq0JtTXYR5StwIPXz4AkO6raNWoyJ0H1TNRLUyH5qGDFMGp+SGTGlTpyFDWuHgYMf48SsNWTVhYSRgCJ3J5O7UYcyGnSwDLIQwhMTh4uHDZ7RoOY7AEjmZOK851taGa24Yeo6EPlKjLrr0SKT2Kljx70PmzE4MH9aaXxdt5caNh6laD2E+JGAIrck8gNSj8C9l8DINuTxxapL3nOnIvRfauHfvCf65vyIkJJSuA6okWD0qpeVodd0PI70sKastU9yX2KDRp09TPDyyMHrMslSvgzAPskyt0FhyjYzYhqq5NEKMvaFgalD4l4Jg7VfhsJTXJzRn7ssIC5GYk5Mjjo52RERE0r35UrL7ZmHJpq7ctgkz2jUDXMuYTa9GSi6Fnkix4a/P3AtDil9PXe7rzffnaPdVTdas3WvoqgkLIQFDaMRcwoO+Yl+HKRpsWt3DSKVWZaf1Bmhaef9ZIrn3Qluurs48e7qRsLBwNh3eyugBG+jZchn9VzfCzkGaHepCRixDhIv4ZegSFPQJbYGB/kyespajRy9RoUKAzuUIyyRDpESKNBkOZeghU8mVZ8lDs4w9jyIts9TvuSHJPRCWxtbWhseKq5T5PDejZzbj1rWnPAhWv6qQLsOkzGlOhqb0nUitC22XsdW3Pi1aVKFMmYJ07jKN0FDj9V4J8yQBQ6hkDo352Dokrou6emnS4E6t12YO99GSyb37jynuhdx/oavw8Pc8uBvKzr8uMn7QRjI62ePln1mjc3Wdi2Fp4m/qZy5Do1Ki7VK51tbWLF82lOfPX1On7lBev35rxNoJcyMBQyRhCY0KQ4QMQ0ochlIrWKTl3gtLeB+mttR8bwmhiyNHLhJYtAtOmepTt8Q0BnVeg0+urAxa3QTHTPYJjt1+O5wtN1U3OtNLyDAFfVal0vbc/Pl92L1rGtevP6Re/eG8ffte62sLyySDIUUcS2u0qJv8qrwRlOJrUvWcNg12U98vCRfpmyb3SJ/3iHwPhLY2bz5K4yYj/780bQuyujvh4eWMfz53joXcS/a8LTff0jC3U5LHjz6+m253/tZ0nkZqia2PLsOmihfPy84dU6hRczANG41g698TjVBDYW4kYAgg7TYm1IWMxDSZBG7qe5VWg4Wp72tapOsKVPK9ELpYtXoPWbJk4tcNncnglLC3ooKXb4q9EqpChq7hQtvVj8x1Bar4ddJ05SljhhJ97lHp0gXZtnUStesMpWmzUaxcMdyANRPmSKshUpMmTaJUqVJkypQJd3d3mjRpQnBwcIJjlEolY8aMwdvbG0dHR6pUqcLly5cTHBMcHEyFChXIkSMH48aNS/Ccn58fCoWCoKCEvxT79+9PlSpVtKmu0JAlNyaM9Slu4jkf5jI0Ja2FC3O5r2mZ3F+RWkaPas/Hj5HMn2YeS5Nqs1JT7AToxF/m4lLoCa68PAXAlZenkp27oWlZplCxYhG2bP6BQ4cu0KHjZJPUQaQerQLGwYMH6d27N0FBQezevZtPnz5Rq1YtwsPD446ZOnUqM2fOZO7cuZw8eRJPT09q1qzJmzf/renfu3dv2rVrx19//cWWLVs4evRogus4ODgwdOhQPV+a0ER6aXjoGjLM6f6khXBhTmEtvdH0fsv3ReiqcOFctO9VnrWLj/PimflP6E2tpWJTkzn2xMRXrdpnbPxzHHv3njV1VYSRaRUwduzYQceOHSlcuDBFixZl6dKl3Lt3j9OnTwMxvRezZs1ixIgRNGvWjICAAJYvX867d+9Ys2ZNXDmvXr2iePHiBAYG4u3tzevXrxNcp3v37gQFBbFt2zYDvESRnLTSkEgrryOtkkBhPtR9H4yxc7xIX1p1LsfHD58IOnjD6Nc6+vhu3JexmHuD3VyldN/q1CnN8mXyIXJap9cqUrHBwNXVFYDbt28TEhJCrVq14o6xt7encuXKHDt2LO6xcePGUbNmTTJkyICVlRW1a9dOUK6fnx89evRg+PDhREdH61NFIYSJSKgwX0lWPJNgIQwkazYncud35+TRW0meUzenIrkVpXSlLhwktxeFPsOPzEFK9Tbka4of8FSFvJSuVb++/G5I63Se5K1UKhk4cCAVK1YkICBmh8aQkBAAPDw8Ehzr4eHB3bv/vfnq1avHs2fPCAsLI1u2bCrL//7771m6dCmrV6+mXbt2WtUtMsqKyCjDrsAbW56hyzUVhX8prXeL1kXk/68Raexr+ZZBeetksk+n1us1FJX3Tc1rNBdxjVUT3O9Ue7+lMXLfdCP3LanoT1Z8XqMw2zde4M2rSDImmuytiLZGEW0NgK2KJkjsc7FlpST+sccePqCshw/w3/dD3fkAF54m/plqvr/jY1+PJq9L1XsyZg6Hfq8v6Ml/q4EpsE7wXPzvQawLT09SMEtJjeon0hadA0afPn24cOECR44cSfKcQqFI8G+lUpnkMXt7+2TDBUC2bNkYNGgQo0aNomXLllrVbff1fGTIkEGrczS150Y+o5Sb6oLfqD/GgHbvSY3xuAWSfyqVX6+hJL1vKbxGc2EG9zp13m9pj9w33ch9iy8/jWvmp3FNeHop6bMe5I/7e1saJD3gdry/3k76dHJlxT/+NrE/gxI+n1bcPZVX7TH/3YP49L8fie95kuuq+J6pqsu7d+/0roswbzoFjL59+7J582YOHTpEjhw54h739PQEYnoyvLy84h5/+vRpkl4NTQwcOJB58+Yxb948rc6rmfcazk4OWl8vJZFRVuy5kY8aea5ha22Zw7ZMMQwiMlLJ7j1vqVnDCVtbhfoTBKD+vpljT4Y5DLOR95tu5L7pRu5bUrErHS2cuZ/l8w4z//eOBH6W8FPt6E9W3D2Vl6e++1BaRbH9dsxCMXVzZUxSXuJPxOOL/2m6umMTn6fu2MRla1O+NrS5Tux98y15HSsb9e0QVT0Hsd8fXamqb3ya3qPs1gX1qocwf1oFDKVSSd++fdm4cSMHDhwgV65cCZ7PlSsXnp6e7N69m+LFiwMQERHBwYMHmTJlitaVc3JyYuTIkYwZM4aGDRtqfJ6tdbTRQoAxyzY0cxr/bmurkF/AOkj2vuUvHfdXc1hdypzeayDvN13JfdNNer1vsWPs4+87YfX/VkWXgRU5sv9fhnZfzR8H+uHs4pjkfKVVFEqrKOrkjvlAUElUkmNSakiXz54jwdh/TRrdRx/fBSs4/izmo/bE80LiylMxkij2HFWSm1+S0h4bsXVJ7jrJlWllE63Ra1X1ngx0L6XXPIzy2WM+VE5uYr0m9QK4/ua0znUQlkGrwXi9e/dm1apVrFmzhkyZMhESEkJISAjv38ds/a5QKOjfvz8TJ05k48aNXLp0iY4dO5IhQwbatGmjUwW7deuGi4sLa9eu1en89MrcGnzCeEy9SpO814RIf+I3UlVNiC7mXp5Nv03mzesPjP92E0pl0jH3xugRSImqRrG6icralJ1cGaqWutXkWsZaIcsQS+9W8PKN+4r/mBCxtOrBmD9/PkCSDe+WLl1Kx44dARgyZAjv37+nV69evHz5kjJlyrBr1y4yZcqkUwVtbW0ZP368zgFFiPREk53IjXE9IYSAhI1XPz9PFv86hBYtx1G3yudU+yp7kuPV7fBtKNpcQ9VqVol3GU+tusQ/vly2XGqOTOhS6IlU2cdDgoVQReshUuooFArGjBnDmDFjdKrQnTt3kjzWunVrWrdurVN5QqRHxtrhXNtrCCHSt+bNqzAw6Arf9J9Lm8vlGDSuPtaKhIMnUgoZRx/f1bgBm9yxicuOPUbVNZNbKnfLzbcGDRmJr6dJ2UFP7uFBfoKe3ENpFaXRfUk8jC3+Y6kp/jA6kT6Y73ps6YyhG2vmMC5fmDd93nMSLoRI37T5ZHzGjJ7Mn9ef35f+Q7cvFvP6VdIVhFJqLKcUPlJ6TNUQo8RDeozx6XtKPRTJPbfl5lut9wHRZmiXKff2sLTd0IVh6LxMrdCPqgZa4sfMMSTEr5M0MtMn+b4LISDlCcyJ9ejRiMKF/ajfaBjzp+6lZaPiSY5R15MRe4w6yZURe27ieqfWMK3EVAWK+I9p02Oizf1JTkpBQNdgkrhMbd4zwrJJwDABTRto8Y9T3gjSetiLpudoKnHgMXT5wvzJ91sIoatKlQIZM7ITo8esoGUj1ceoa+wbKggYMmSkNHwqpcZ0w9xOKfZaaDN8KpY2Q8oMSXopRGIyRCqV6dpA0yaUGGNVIVW9KdLYtHzyPRRCpKaePRvh4xOzL9b79xEqjzHlpOHkGvPqGvmaDm9K/Noa5nZK8qVr2fpKLgwZusdBwkj6ID0YqchSG3PmOFRLpC5Lfe8KIVKXupWLHB3tWb3qO+7eg/GD/+L7afVxypR0Y1xNexTiN9jjH6/rUCNV4p+vyQRxdddLrs7xr6dPqEipFyOlOSmge5hIrRWrhOWQHoxUIg00Ya7UvTflvSuEMKTChWOWWz28K5g6xaazZvpFskXmTXKcup6M5J7XtXEeW178gKBrONF0uJWq/SRir6tPMEp8/eQmg6fW3BPljaAEH1YWUrHLuEhbJGCkgrTYQEuLr0kkJd9nIYSxXLywiC6d6zFn7kZ8/VozftAm7t9+keAYQwyXSi5wBLiWiftKfL3EDXxtN5Uzp70hTDGBXQgZIiXUkkZm2qdqgz75vgshdKHpcJlXDnfo+N1nNO1VkN+XBrFqwVH+WP4Pxcv4Uq1eIarVLUTOXFlVDpfSpQGf0tCh+JO+E19P3bVS6mkw1P4PW26+xRYbOmpxjrp9PmLrbaiJ4YlfY0rvgX9fntL7esK8SQ+GhhT+pUxdBSGMztCLAwgh0qfk9l24FHqCK4kaly6ZHek6oCo7zw5l7E/NcHZxZPaEXdQrNZ0hXdfy/MmbBEOJ9G0MJ9fYT9yToeu1VJ2jy/yE5Hpett8O17osVeUZe/J4/Pssv1vSHwkYQogk5BeBEMJQNN3kzcHRlqZtSjJndXsOB3/PuJ++IOjQTRqVn8nPk3fzLCTM6HXVJgioChIpBRJDToJOrZWlhNCVBAwhhBBC6MRYKwdlcLKnaduSbD4+gIYtirN8/hFqFZvCkG7ruHTmvt7lG2rp1dhAoaq3Q9W9Sa2QoW0PjLHmaai6z7LRXvogAUMIIUS6deXKXcLCdBtyImIknihtSJldMzJ8UiP2XhzOwDF1uXjmPq1rzWP0Nxt4/fKdxuXENsbjN6RVDd9S1/hNaWK4PpJbrjY5ya0ypSpUqFodS9V5xmDskCXMlwQMI5OhJkIIYZ5mzPidQoU74ZK5IbduPTJ1dSyeMRuOmZwdaNejIn+f+JaR05uwe8slGlf4kctnH2hcRnIhQ5NgAUlfX0qvV5t7kVLvgapQUDdXxiSPqeutSLw6lr7L4AqhjgQMDSlvnTR1FYQQQhjQut/2x/19/A8rTVgToSlraytadCzDX8cGkN0nC183+ZWgQzcSHKNJw1nbIUHJBQZVvTfqwoW2QSw2DOgSLHQ9Vgh9ScAwIum9EEII87Vm9QjKli0EgHu2LCaujdBGNk9nft3QheJlfOnVahm7Nl/UqPEcf95CcpvPpXXJDaFKTbLRXton+2AIIYRIl/LmzcGxo3P48CECR0d7U1cnTYi/n4SxZchox5xV7RnRZz2DOq9l6q9KMpVxAWI+9U9uEvSWm28T9HJosseGpnt7aHts7PV0DTq67mFhiFCh6jWqmtcicy7SJwkYRiK9F0IIYf4UCkWqhgttG9/SOEuZrZ0Nk39pAcCofutZua0nz7NGAOpDRuwxicU29hM3wg0ZMhIHMVOEDH2kNGRMVchI6RyRNskQKSGEEMKItJlIrOpckTIrKyvGzmqGb243vumwkrcv38c9p24+RkpLvaoaQqXN91Hb750+ISFxPWPrboohYMkFCXkvpy8SMIxAei+EEELoGipUlSNS5pjBjlnL2/E+PILVgw8Q+fFT3HP6rpakqpGuaWhMzZARS1XYSG0SMoQMkRJCCCEMzNANKUsZy27KBmR2nyzMWd2ezk0WsWX8CZqMK4+VlQLQP2SkRNOQEf/7l9I5sSFD02BgritDJTcf51LoCXxsAkxQI5GaJGAIIYQQFiBxY80SAkdqCyzhw+QFLRnQYTUXT9+ncDUfitf0J1egR1zYMBVdejPUhQxV4SLxeeYaQETaJgHDwGR4lBBCpG+p9Sm+pfRqpLbq9QqzYlt3/v7jHHv/vsyeFRdwcc/AZzX8+aymP7mLe2JlrfkIcW0a6No27GO/f8m9Z1LqzVC3sZ6xhkYZ4j3378tTBqiJMGcSMAxMeSNIQoYQQqRTqT1ESEKGasVK+VKslC/DJzVk5fZ/OLP7Jmd332b/mku4ZMtA2Ub5Kd80Px6+mQ12zeTmPqgLGureM4nLLevhg5VNtNr6GKvnQpv3XGouWyzMiwQMI5CQIYQQ6YspG1HmEjLMsSFpbW1FxwZlyVvCi+ZDKnDnwhNObL3O4d8vs3PxWfKW9KJCs4J8ViMXdo62RqlDSr0aqXnPDNnYj1+OObz3hPmRgGEkyhtBgAyZEkKItO7Ky1NYmfi3qSlChjkGiuTENuytrBT4F/Pki2/LcW7vbY7+eYVl3+1j5Sgr3HJkwt3HhVyBHuQr7Y1fgDs2ttYG3WdC016NxMdDTM/F7dvJH6tuuFXsMcZYgCD+9YUACRhGl1zQiH08PgkjQghhOa68PAXkN3U14qRmyLCkcBFf7NwEOwcbStfPS+n6eXl2/zWXj9zn6b3XPLn9il3LzrN57knsHG3IU9yTfKWyc8/7Ea9fviPs1XuUSiX5CnlRu0kgGTLaAcmv+JTchn7ahpYKXr5Ef0r++fjfd1UhQt3zhmAuPWnCPEjASCWqAoUmx0joEEII8/Jf40y2kkoLsuV0oUprl7h/R32K5v7V5wT/85Br/zxi+8LT/P1JiUsWR1wyZyA6WsmaX48ze8Iupi9uTYlyuVROqo6/iZ+qoJHS0ClV8znKZcuV7GuI37hPbmlYTXo49CW9GSKWBAwzpy6YSAARQgjjsqRP61PjU2RLuh/xabqqkrWNFX4B7vgFuFP76+JERyup6O2LQvHfMrcP7oYyqt8GerRYyuxV7SlXOY9GZafUo6FO0JN7eKTQY2boTf/0Efs+TO6aQSH3U60uwjQkYFg4meshhBCqWWpDWF/pfaiKoZdntbJSJAgXADl8XZm3riP9O6xkQIdVrNzeAzInPK9hbqcEvRjxbbn5VufN/4Ke3ENpFWX2+1uk1/9/IoYEjDRCVq4SQqQF6holiRvO0ohJXeZ8v42170NyHBxtmbG4LR0aLqB36+Ws2dmL4OhQjc9PLnwkllwQ0XbCuLaMNVcjtb9PwjQkYAghhDA5TRsy5tzANSfpsRcjpU3p9JXcpOyMmeyZu7o9bWrNo3eb5fQZXpOovLbY2lkDKfdiaCr2/Ea5XFQ+n9zr1Td4yP81oQ8JGEIIIUxKGjLGYeiQYSnfJ2MFjcTlxV7HM3tm5qzuwNBua+nVahnZfbPQ85e6uOVwBv7rgdA3aGy/HU7H//9ZJ7eD1vVNzNyHWAnLJktgCCGEMBlLabRaKkPc30uhJyzy+2TsBvTRx3fjGvGFi2Vny4lv+X1fX6ysFPzcdRsPgp8nOF6TOReHLzxJ8qXKlptv4770qb8QxiI9GEIIIUzCEhutlkiXnoy08r1RtXysocUOn1IoFBQM9GbJX93o/uUSJjRfT4nauanfsyRe/lmAlHszkgsTsY9XC8yu8nltQoau+3EYcr5HBS9f9ly/rnc5wrxJwBBCCJHq0koD1hJoGi7ke6K7+A11T28X1h/oy4xfdrNt4RnGNf2d0vXz0nxIeZwyxwxtit/Qjw0IlQI9gKRBI/bxxDRdhSrxfhyahgxVwSylvTuEiE8ChhBCCJHOpeVwkRq9GJCwof7Pi4dUal6Igd1r8ufqk8ydtJvJZzbQ46c65MifNcF5iXs1kgsUsermyojSKkrneiYXMrSl7W7k8ZX1zKnTecJyyByMNEST3cKFEEKkH+p6Lyx1foW5ij8vo4KXL3b2NrT6uhy/7e2Lm6sTM9pv4vqGuxR39kpybsPcTsn2SjTM7UTdXBl1qpOqMrWdu5Hc8TKPQyRHejCEEEKkKmnQml56+x6kVi9GcrL7ZGHF1h7MGL2Nn37YyZI5h2j1dVk8Krrh+f/5GbF02YAvfk+Cpq9T1a7iKQWPlHYhl+FSIjEJGEIIIUQapWqCd3oLF7FSO2Qkbng7ZrDj+2lN+LpfZZbMPsiSnw/xcVok3nmyULymP5/VzI13nixJdg3X9Fq60qU3Q9ddyEX6IQFDCDOkvHUSKBDzZ/7Spq6OEAaTXhu3piT33HRUNvxtoOrA4lToVYR/j93n7O5b7F15ka3zT+Phl5nPavpTvml+suVUvbGeNuKHh/iTx9XN89CkXAkZIiUSMNIQRZ6ypq6C0NN/82iskjwm318hhNCPqYdKxWfnYEOxarno3bYKER8/EXTwBrv/vsTe3y+zY9FZClfMSZXWARQslwNrG+2nzCYXLmL/rW/IECIlEjDSEOWNIGmEWjCZpC/SOvkkXZgDXeYrGEtsXezsbfi8VgE+r1WAEVMas33jeX6df5C5vbaRIZMdBcvnpHiVPDQoWFNtmaqGPKlaAlffkCG9GCIlEjDSGAkZlivB9y34H9WPC2GBJFgIc2XqsKFqXwkHR1vcq2bjuypfcO/f51w8dJeLh+6yetwhGqztydE/gynb1B8ra9W9Gg1zOyU7r0LfXovEoSQ2ZMhEb5GYBIw0SEKG5VP4l4LgNzF/CmGBtAkVsZOQJYgIUzKnsAGgUCjwLZwN38LZaNCzJK9DPkA4/DH1KAfXn6f195XwC3BXWVZKIUNXsb0fsX8mDisp3TMJH+mPBIw0SkKGEMJUdAkXsX+XkCHMQWyD2NRDqOLL7J4RbsM3CxuwesI+prT5k4pfFKRxv9I4ZXFMcrw2w5d0CSOxvRmaDJWSHo70RwJGGiaTg4UQqUnbcKBqEzgJGUKkLFegO8PWfsGh3/9l89x/OLLhClmzO+PlnxlP/yx4+mfBO3cWchRww9bOWqMykwsImgYPVcfJfhnpmwSMdEB6M4QQ5kj2aBBCN9Y2VlRtE0CJ2rm5ePAOj2+9IuTWS87uvsWLR29QKsHGzppcRdzJW8KLPCW88C/qgUNGO62uE3+olbbzNxL3bEi4SF8kYKQTEjKEEOZOwoUQ2nHO6kiFZgUTPBbx4ROPb4Zy42wIN04/5tAf/7Jt4RmsrBXkLelNmfp5cfXORKYsDnjndVW7sV9sSDD0nA6RtknASEdkyJQQwtzE9mJIuBDCMOwcbPAt7I5vYXeqfxWIUqnkye1XXDv1iJPbbrBi1IG4Y0vWyU2nidWwtlU/lMoYE8dF2iUBQwghhEHoGhQkXAhzZU4b88WnSUM/tudBoVDEzc34vEVh3r/5yNtXH7hxJoRVYw4S8WEXXafXxNZemoTCcLTfGlIIIYRIhqqJ20IIw9JngzvHTPZky+lCucb56TWnDleOP+Dn3tv5+C7S4NeNH4SOPr4b9yXSPgkY6YwMjxJCCCEsX8PcTnrvpF24og9959fn9sWnzOq6hZPbbxD2/J3a62pDVW9LUMh9rcoQlkf6w9IRCRdCiNQgcypEWmKuw6Ri6Ts3Il8pb/ovasCq0QdZPGQPAN55XMlf2pv8pbOTt6Q3GV3stSoz8WZ8iesX+S5C5/r+r717j4nqbvMA/j0oDAhIRSwDtUVbtbalUqu+stKVy3qPsK++W6s21q6urU1vxjWxZova+sfaZmP/KMHaxvVNE1ebrWhjdetCChrrXSAL1tdbB2gVqqUKjNxGefYPOyMH5j5nnJkz308yEc+N3zw8Q86Xc6PQwIARJhguiOhBcudUKYYQIm04Cxl9p9s7AjHy2WQUlixAy2/tuHjqKv528ipqDtej/L9qMTBqAGb9y3jMXD7e7edqEDFgEBFRQFhDCIMGBbtgP4oB9A8ZzgKHo9OcEpIGYdKc0Zg0ZzQA4LdfWnF0z3kc/LwSpw9exuL1f48nJz3iciyunplxvPaGy21QaOM1GGGARy+IKJilJ07mxeFED5C7p1QlDR+MP787Ge//9z8hbkg0Plm2H3/9t++Rm+j9kQzr6VOkbzyCQUREQYHXbhD5xpOH4rlz6pRV6qhE/Otf/xHH9v4NJVtOoOZwPUa8NA4PjRoKQ2IMDA/FIGKg879Z9w4WbU2tLsdHoY0BQ+d49IKIQglDBpHvvHn6tnVZR0EjIkLBC395CuNyRmDPfxzDyc9P35+pAIaE6HthY0gMohMHIToxBrGPDIbx7x7DsfO/ef9mKCQxYFBYsD7F3IrBiyh4OQsZvU+lYhAhcq53WHA3bLgKGoOHxuCf//0fMHhBBjp+a0fX7x3ovNmBrt/b//i3A611N3Gj8ho6m9sRPbQKj897Gj+nDIbyxxPD442D0ebje6PgxoBButc3XPSexqBBFJzcOZLBi8SJ3Odp2HB2MTgA/GV80r3tPO54G20/t+DKnlqc/8+ziBpsAP70KKImDfdo3BSaGDB0LNx3nu0FC0fLhHutiNzlzpEFrfQNGY6+B0+rIvKMu8/OcBUyXIl/NAHPrcrC6JfG4UrJOfzy/RV0H63DwIwUr7dJoYEBg3TJnXBBRO5xZ+e99veTAbsTFMMFkefcPaLha8gAgNiUeIx7MxOjFzyLK3vP4eqROp+2R8GPt6klXZHLJ7wKFwwkRPYF0867vbEE0/hIv4L9GRi+yn8izvZylzdPD48ZFov01/6E3M/+7PG6FFoYMHQqHE/58TUkMGQQ3Vf7+0mPd979sbPv7KgIwwX50w+N9bZXOLEXNPqGCW/CRW8K9z51j6dIkS5oFQ7k8omwDGdEvQXzjrv1VKxgHiOFrnALE85Yr9NwFTaI7GHAICIim2DbcedpUeRvDBWO2Ttlyptb31L44UEq0gUedSDy3fmbZwI9BBUGCfI3hgvf+HrxN+mXxwHjyJEjyM/PR2pqKhRFwb59+1TzX331VSiKonplZqp3/i5cuICsrCwMHz4cH374oWreiBEjoCgKTpxQn/KyatUq5OTkeDrcsMSdbSIKdQwX5G8MF9pgyCB7PA4Yt2/fRkZGBoqKihwuM2vWLDQ2NtpeBw8eVM1/8803sWTJEnzzzTfYv38/fvjhB9X86OhorF271tOhERGRDjBckL8xXGjL0ztQkf55fA3G7NmzMXv2bKfLGAwGGI1Gh/Nv3bqF8ePHY9y4cUhNTUVLS4tq/uuvv46tW7fi4MGDmDNnjqdDDGvhfPRCGZXp88Xe4Vw/Cl/3To16UpNt+fo8DIYL8jeGC/9xFDL6XizeYe7G/z6oQVFA+OUajIqKCjz88MMYM2YMVqxYgevXr6vmf/jhh5g+fToGDRqEiIgIzJw5UzV/xIgRWLlyJdatW4eenh5/DFGXuHN8rwa9X56uS0S+8/YWtwwX5E/heMvZYMGjG+FH87tIzZ49Gy+++CLS0tJgMplQWFiIvLw8nD17FgaDAQAwZ84c3LhxA62trRg2bJjd7bz//vvYsWMHdu7ciSVLlng0BsvdCFjuapudrNvTertaUB6fdO8LiwR2IHZY/hiTJVBjS7P/l1T56bTt62CsX8DrFqJYN8+dv3kGPXfu/V6z/quV/7t+73P21JCJDr/3fcH3u9UVf9VN7wJRtxO/NkDBgAf2/fxB6Rmg+jeU6eE9kHOaB4yXXnrJ9nV6ejomTpyItLQ0HDhwAPPnz7fNMxgMDsMFAAwbNgxr1qzB+vXrVdt0R+mlMRg0aJDng3dD2eUxftmuTy60BXoELpWWBdut7Mbe/zKI6xd8dQsNrJsn7p8aVX9mtF++gwmOPmPanJYVaP6qm949yLol66TXAODh+rxAD8Fn7e3tAL4I9DDIj/z+HIyUlBSkpaXh0qVLHq+7evVqFBcXo7i42KP1po++iMFx0R5/P2csdyNQdnkMpo26iMgBwXHalu0v70HMYhGUlpkxfVocIiOVQA8nZIRS3Zzd2tTRX679JZTqFgysP7ueOxGoPzMaaRMvIWJgcPx+CwWsm3d8rduJXxv8MKrgp/QMwMP1ebie9j0k4m6gh+OTDnN3oIdAfub3gNHc3Iyff/4ZKSkpHq8bFxeHwsJCbNy4Efn5+W6vFzmgx28hwJ/b9kSoXS8QGalwh88LoVA3ZzsIF9pO2S747Xt+vS8XArsSCnULBn1/dhEDe7ij7AXWzTue1s12/USYn5EmEXdDPmCE+vjJNY8/pmazGdXV1aiurgYAmEwmVFdXo6GhAWazGWvWrMHx48dRV1eHiooK5OfnIykpCfPmzfNqgK+99hoSEhKwa9cur9YnIv9x56JcRxfv8oLewGL9KZTw4uzQt/+KmU/+DiMeH8E4c+YMcnNzbf9fvXo1AGDp0qXYunUrampq8OWXX+LWrVtISUlBbm4uvvrqK8THx3s1wMjISGzatAmLFy/2an09CrWjFxTeHB3BoMDgz4FCDcNF6LIXKPZfMcPSzlOk9M7jgJGTkwMRx3doOXTokE8Dqqur6zdt0aJFWLRokU/bJSLt2QsPjk59Sk+czJ3bAGP9KdQwXIQ26+1p+waN2SPj+BwMnfP7NRikLR69oGDk7vUUvUOGP6/BoP4YLiiUMFjoS9/nYPAib/1jwCCiByqQwcLeTrbegw6DBWml705/Vkqa378HEYUmBowQwqMXRN5xtpNd+/tJXYYMBgvSiqOdfut0LYIGgwWRvjBghAAGCyLvuLuTHYwhw5Pb+jJMkL+4s+P/Q2O91yGDwYJInxgwghRDBZH3zt88E3LPJXAVEhgiKJh5EjJO/NqAZDx574F5Yf5MCyK9YsDQAMMAUWBZd7577kQAeNLrbTzooxgMDRTMPD264CpkWLenYIBP46LQZL2TVN8LvkmfGDC8wEBBFBxCdQc9VMdN5Iq9kMHToJzrewvXYNwBd/SAPHfH2nt9PgcjPDBguEEZlQnFIsCFNiiPTwr0cIjCmj93zv19FIPBgsJB75DBcOGcowfRAcETNOyN0dOx5T8Rh/1XzLb1OszdfA6GzjFgOMCjFETB50HsoPsjZDBYULhhsHDO0REBe8sES9Cw8nY8wfY+yL90GTBazV1erac6OtF6WzXPYhG0t7ejtTUCkZGKL8MLK6ybd1g3tR9vnnFruZ47EWhvb4e5rdOni7xbB952vZAb3B13oGlVt3Cj97r562FoSs8AtLe3o8PcDYm465fvEYz+x+Q6VNhj/TkEqm69T2eaPTJOk77o5IP2dE8REQn0ILTS2dmJkSNHoqmpKdBDISIiIiIHjEYjTCYToqOjAz0U8gNdBQzgXsjo7mYyJiIiIgpWUVFRDBc6pruAQUREREREgcNH3BARERERkWYYMIiIiIiISDMMGEREREREpBkGDCIiIiIi0gwDBhERERERaUaXAePIkSPIz89HamoqFEXBvn37VPM3btyIsWPHIjY2FkOGDMG0adNw8qT6Sbs5OTlQFEX1WrhwoWqZ48eP47nnnkNaWhq++OIL2/TMzEy88cYbqmW3bt0KRVGwfft21fTly5djypQpGrxr32lRt66uLrz99ttISkpCbGwsCgoK8Msvv6iWCae6WSwWrF27Fs8++yxiY2ORmpqKV155BdeuXVNtg/3mXd3Yb/0/pyUlJZg5cyaSkpKgKAqqq6v7bYP95l3d2G/96yYi2LhxI1JTUxETE4OcnBycO3dOtQz7zbu6hWO/kX7oMmDcvn0bGRkZKCoqsjt/zJgxKCoqQk1NDY4ePYoRI0ZgxowZuHHjhmq5FStWoLGx0fbatm2bav6yZctQWFiIXbt24aOPPkJDQwMAIDc3F+Xl5aplKyoq8Oijj9qdnpub6+tb1oQWdVu1ahX27t2L3bt34+jRozCbzZg7dy7u3r3/1NFwqlt7ezsqKytRWFiIyspKlJSU4OLFiygoKOi3LPvtPnfrxn6zPz8rKwubN292uh32W//5rurGfuvv448/xpYtW1BUVITTp0/DaDRi+vTpaGtrUy3HflNzp27h2G+kI6JzAGTv3r1Ol2lpaREAUlZWZpuWnZ0t7777rtP1HnvsMfnpp5/EbDbLxIkT5dy5cyIicujQIQEg165dsy2bnJwsxcXF8sgjj9imNTQ0CAApLS31/I35mTd1u3XrlkRGRsru3btty1y9elUiIiLku+++s00L97qdOnVKAEh9fb1tGvvN87qx35zXzWQyCQCpqqrqN4/95nnd2G/969bT0yNGo1E2b95sm9bZ2SkJCQny2Wef2aax3zyvG/uNQp0uj2B4oru7G59//jkSEhKQkZGhmrdz504kJSXhmWeewZo1a/r9RWb9+vV46qmnkJCQgMzMTDz99NMAgKysLERGRqKiogIA8OOPP6KjowPLli1Da2srLl26BAAoLy9HVFRUSB6atFe3s2fPwmKxYMaMGbblUlNTkZ6ejmPHjtmmhXPdAKClpQWKouChhx5STWe/Ode3buw337DfPMN+689kMqGpqUlVE4PBgOzsbFVNAPZbb+7Ujf1GoS5sA8a3336LuLg4REdH45NPPkFpaSmSkpJs819++WXs2rULFRUVKCwsxJ49ezB//nzVNpYvX47m5mbcuHEDn376qW16bGwsJk2aZPtgV1RU4IUXXoDBYEBWVpZq+uTJkzFo0CC/v1+tOKtbU1MToqKiMGTIENU6ycnJaGpqsv0/HOtm1dnZiffeew+LFy/G4MGDbdPZb87Zqxv7zXvsN8+x3/qzvu/k5GTV9L41Yb+puVM39huFurANGLm5uaiursaxY8cwa9YsLFiwANevX7fNX7FiBaZNm4b09HQsXLgQX3/9NcrKylBZWanajvWCZ3vb7/0BzsnJAQBkZ2erpufl5fnl/fmLq7rZIyJQFEU1LdzqBty7cHnhwoXo6elBcXGxah77zTFndbOH/eYa+0077Df0e/99a8J+s89V3exhv1GoCNuAERsbi1GjRiEzMxPbt2/HwIED+91Zobfnn38ekZGRtsOKruTm5uLixYu4evUqDh8+jOzsbAD3P9gNDQ0wmUwhd2GVs7oZjUZ0d3fj5s2bqnWuX7/e7y81jui1bhaLBQsWLIDJZEJpaanq6IU97Ld7nNWN/aYd9ptr7Lf+jEYjAKj+og64rkm495s7dWO/UagL24DRl4igq6vL4fxz587BYrEgJSXFre1NmTIFBoMBxcXF6OjowIQJEwAAEydOREtLC7Zt24bo6GhkZmZqMv5A6V23CRMmIDIyEqWlpbb5jY2NqK2tdfv8Tj3WzbqTfOnSJZSVlWHo0KEu12G/ua4b+0077DfX2G/9jRw5EkajUVWT7u5uHD582GlNwr3f3Kkb+41CXuCuL/eftrY2qaqqkqqqKgEgW7ZskaqqKqmvrxez2Szr1q2T48ePS11dnZw9e1aWL18uBoNBamtrRUTk8uXL8sEHH8jp06fFZDLJgQMHZOzYsTJ+/Hi5c+eO2+OYOnWqxMfHy6xZs1TTp02bJvHx8ZKXl6fp+/aVr3UTEVm5cqUMHz5cysrKpLKyUvLy8iQjIyNs62axWKSgoECGDx8u1dXV0tjYaHt1dXWJCPvN27qJsN/61k1EpLm5WaqqquTAgQMCQHbv3i1VVVXS2NgoIuw3b+smwn6zV7fNmzdLQkKClJSUSE1NjSxatEhSUlKktbVVRNhv3tZNJDz7jfRDlwGjvLxcAPR7LV26VDo6OmTevHmSmpoqUVFRkpKSIgUFBXLq1Cnb+g0NDTJ16lRJTEyUqKgoeeKJJ+Sdd96R5uZmj8axYcMGAaC6FZ2IyKZNmwSAbNq0SZP3qxVf6yYi0tHRIW+99ZYkJiZKTEyMzJ07VxoaGjwah57qZr3lpb1XeXm5iLDfvK2bCPutb91ERHbs2GF3/oYNG0SE/eZt3UTYb/bq1tPTIxs2bBCj0SgGg0GmTp0qNTU1tvXZb97VTSQ8+430QxERcf94BxERERERkWO8BoOIiIiIiDTDgEFERERERJphwCAiIiIiIs0wYBARERERkWYYMIiIiIiISDMMGEREREREpBkGDCIiIiIi0gwDBhERERERaYYBg4iIiIiINMOAQUREREREmmHAICIiIiIizTBgEBERERGRZv4f9zPmZNBaD+oAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 30-yr LTM of monthly precipitation from 1990-2020 \n",
+    "ltm30_ds_climo = ds_climo_ps.mean(dim='valid_time')*1000\n",
+    "#(ds_climo_ps_1020.mean(dim='valid_time')*1000).tp.plot()\n",
+    "# Anomaly of 95% day mean precipitation from 30-yr LTM\n",
+    "anom_ps95_ds_climo = ds_climo_ps95_mean.tp*1000 - ltm30_ds_climo\n",
+    "\n",
+    "# Composite mean precipitation of 95% days in Palm Springs, CA\n",
+    "make_map(\n",
+    "    data=anom_ps95_ds_climo.tp,#ds_climo_ps95_mean.tp*1000, \n",
+    "    title='95% day anomaly of precipitation from the 1990-2020 mean',\n",
+    "    marker='x',\n",
+    "    pt_col='k',\n",
+    "    res=0.25,\n",
+    "    plon=ps_lon,\n",
+    "    plat=ps_lat,\n",
+    "    cmap_title=\"Daily Precipitation Anomaly [mm]\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/final_part1_timeseries.nc b/final_part1_timeseries.nc
new file mode 100644
index 0000000000000000000000000000000000000000..28fb5fd64e8dfb0c514cb8d8c141271d9c0467ef
GIT binary patch
literal 50760
zcmeF)XH*nR|LFTs#DE}*m_f{nS!SlIx(5^k3W}oWHe$elVn#4*F<<}{14dNLikMNv
zfB_R`McpRMiaB6b%zB6M>+_uRU+3O;_r+az*JAig_w;mE|GK)Wx(BAFc{gclXH(iH
zcmDjkKj|0A`}prUb$OxKw_|aB-c9^-+wRC+!7|S(H!uBp%m36Sw=P%CB6&;X{LYmp
z=XXxZ6BazE&+FgMb;X=?IWJh{(*4i3|CugaIA_s4Y^^Qt%UdPqNv=GWEtsDb4I2^`
zII#QBVSRc94-F0r3=1AI*f5-hb-HKA{bpLSZ+9S9F2|hNxpU>p<yGkS0)Mo!&B<|L
zb2NSj#8YQoC})mU^_*#P5b--h%SQZu@7&+~XGik=-|mQQ!<<E}bdEY(^F!CYRiCh4
zy@L#mhYT6kJ9uzlSf5bKrhmt&oF#*Q_U?~4E3mC$-f#12@|rVgUbeAs!?ta8Ma?hd
z#3?6_O?+B<wQB3**Q$Hl#tnVFbha)z^R0B&zu(ZRVM{N|^42V$b2uz(wK6YM$ecOz
zTK{CON${ZH-v4{H%<sxcwyOC^{x=)L2M33RT2@=u{9;ZvdI$a;S}rtraIZe)-0Ie=
zTdQt8^G~_Dbv4V6Z9SbiLsq&1zcbY<aA2Roy#t3?){wI^Icpd?Y{<YqL&Ji5b?-Z@
zPv0TKf&&NZbWtB%T>Kh)x3KjxFJZ~BB@EqLHEum@$k0B+!h+3l%vnPP^CM?1Bl-*r
zH5UdCx0-`30rxP}R%`2P_Uj#F^r%<6o}sp~V!WEOuqFM8bj~|-lGSf=Vq!@-LCZ;b
zf1}HXf6kx+Oxs{Vv_(6l<mv30wiI&n^CC<;V9uW8Bukk!Tg)=0(-lX{xn+J{lIc=d
z8q1&)I%CdJ%1P$3VM*n%JpKttMW!oZWwe}r=I2$Ju7<8y9nFQ+l4@cttc`W>Pd#HU
z7MA3OdNiOB6%;7ZTq-R|Lle5A2iC_1=!p%n5jMsqXeo8(=S`VzhTiCd&9MdgVoPj=
ze%Kn@pg*?7cK8>z#}3#LJ7H(+f&thSyJ2_ifq~c)dtq<vgF)CA`(ZHl#{oDH2ch{)
zwxl6A6hm+rhGH20snV%^bt9QS3jfB@7>;9bERMtR7=aUTB2L1|7>Q9h1*hUPjK=9W
z183qajKSGB2j}8EoR14I78l|oT#RwJ1efA6T#hSnC9cBNxCY~KEhgYPT#p-YBW}XY
zxCIk&D{jLi+>Xh(19##s+>I%?2lwJW+>fbv01x6JJd8&$4Ugh6JdP*uB%Z?4cm~g6
zI-bMxcme;xi+Bky;}yJ$8F&q^;|;utx9~RJ!Mk`5Gx0t?z=!w<ALA2ziqG&lzQ8Pe
ziLdZAzQMQn4&UPk{D|532|wc({EFZ3JO03*_zQn`Rn0xCT)$`JMsvs1lKylwt(ne?
z`7l2gKpQNGwrGci&>jn85p=+!=!nIzIF`VYSPDyH8FWHtEQ>B!4$ET&tcaDcGFHK=
zSPfmVI@Z9NSPN@o9juG>&<*uyKqD$BP@;+&n$R6Rus$|GPi%;durW44FKmj<&>MZQ
zIkrGwY>BPV4_jj!^vAZ?4*$aT*a16YC+v(}FaWz^H|&l*Fc5oUFYJwdFbMl%KMcnH
zH~<IYARLTCa43f0Fbu^o9F8M!B#y$raWsbG7#xe^a6Crf1e}PIa56?>6i&gZI1Qt5
zI?lkEI16KNHqODhI1lIJ0*u9lxCj?x94^77xD1!$3S5b+a5b*McwCDKxDMCj2Hc37
za5HYfMBIwoFbTI~GVZ{gxC?h<3hu$ZxDWSZDjvXtcnA;U5lq9Qcnpu@2|S6X@HC#m
zvzU(O@H}3?fAAt+!pnFCuVMyX!|QkhZ{jVyjd$=a-os41j}P!6KElWN1fSwFe2y<L
z3t!?Ze2s7LExyC|_yIp+Hh#j-_yxb>H~fx2@F)I4%dG-)OP?z@?LYpx%aw;|Ys`!J
zFh3SR^UW_yDu}jdhlS7{3u6&<z@q4g#jrS*z>-)BOJf;yLT4<CE?5rBV+E{;m9R2a
z!KzpdU9mdWz?xVKYhxX(i}lbA^=LpNDkxB*iW-{G9X+r<Hb75oh>fr@HbF0Jip|g)
zeXu#UKwoT$t<Vo!V;l6xw%88;!uHq!J7Op7j9oAQyJ9!&jy*6Cdtxu_jeRf(`(i%~
z#{M_}2jU<cj6-lJhTt#^#V{O>BXA^+!oP7ehT|9<i{o%SM&JaTh?8(KMq(6B!KpY6
zqj5UUz?nD;V{kUk!MQjO=i>s5#f7*C7h@bQ!KJtim*WatiK}omuEBU*iwU?6*W(7<
zh?{UTZox#{irX*=w_`Hyz@4}YcVi0f!M(T-_hTv^z=L=Q591L`!=rc%kK+kEiKp;1
zp24%2j_2?^Uci6wB3{DFcm=Ow242JKcmr?ZExe6)@GjoNOuUZ|@F70J$M^)F;xl}X
zFE9&V;wyZOZ}2U?!}s_BKVmk1!q4~xzv4Iijz91x{=z>u`g2*){-YJ<L2Jy5`7l2g
zKpQNGwrGci&>jn85p=+!=!nIzIF`VYSPDyH8FWHtEQ>B!4$ET&tcaDcGFHK=SPfmV
zI@Z9NSPN@o9juG>&<*uyKqD$BP@;+&n$R6Rus$|GPi%;durW44FKmj<&>MZQIkrGw
zY>BPV4_jj!^vAZ?4*$aT*a16YC+v(}FaWz^H|&l*Fc5oUFYJwdFbMl%KMcnHH~<IY
zARLTCa43f0Fbu^o9F8M!B#y$raWsbG7#xe^a6Crf1e}PIa56?>6i&gZI1Qt5I?lkE
zI16KNHqODhI1lIJ0*u9lxCj?x94^77xD1!$3S5b+a5b*McwCDKxDMCj2Hc37a5HYf
zMBIwoFbTI~GVZ{gxC?h<3hu$ZxDWSZDjvXtcnA;U5lq9Qcnpu@2|S6X@HC#mvzU(O
z@H}3?fAAt+!pnFCuVMyX!|QkhZ{jVyjd$=a-os41j}P!6KElWN1fSwFe2y<L3t!?Z
ze2s7LExyC|_yIp+Hh#j-_yxb>H~fx2@F)JlKOgY_`7@Q=d4Bf;tS}E+V_wXM`LO`n
zU_rD+J1m6uSQv|-0~SR`EQZCg1eU~7SQ^Wq6FOsAbis019xGr)tb~=Z3RcBx=!(^`
z2G+z{SR3nLU95+0s7C`DQ9*$cRn*Xg?&yK_u>pEwLu`bNu?c!%Q*4Ib=!4C%1^Qx3
zY=wT<8rz^hw#9b%7q-U^*bzHnXY7Ij*cH2BckF?I*b{qUZ|s9X*cba@F!sj*I1mTn
zU>t%&F$9NUD2Cy19DyTo6#k8)F&xL>SR9ArF#;#xM4W_^F%qM23Qomo7>(0$2F}D;
z7=yEM4$j4SI3E{aEH1=FxESMb2`<HDxExpDN?e7jaSg`fT1>!oxE?p)M%;v(aSJBm
zR@{b3xE+&m2kyjOxEoV&5AMZ%xF1vT03O6cco>gh8Xm=CcpOjQNj!z8@eH2DbUcUW
z@dEyX7x5Ba#w&OgGw>Q-#~XMPZ{cmcgLm;BX5xK(fDiEzKE@~b6rbU9e1Tc`5?|qK
ze1mWC9lpm8_z|=56Mn`o_!Yn5cl?1r@fVu^7}1h)VQ#d-JZO!1F(2l~0%(H;(H8Bn
z5ZYs5EP@VL6dkb`7RM4;5=&ueEQ3zyjAhXU%VBw}fEBS4R>mq=6|12uR>vAx6Ki2@
ztb=v29=f3(4QNCK1xi#=Lle5A2iC_1=!p%n5jMsq=!H$O8G54+Hpdp|i!HGg`eAEq
zgZ|hS+u>i>9y?%1?1Y`M3kG0U?1tU32L@tK?1jCt4+ddh?1#bF9|zz-9E5{$2oA*%
z9EPD7hQo0Lj>J*;H;%?|9D`$V9FE5boPZN?5>CcQjKV266{le|PRAKI6K7!z&c-=7
z7w6%8T!68-5EtQMjKd|k6qn(0T!AZb6|TlL7>{c)0oUPr+<+T#6K=*Wn21|(8z$j)
zOvW9!6L;ZmOu;?47x&?QOvM9u5D(#DJc4O>6p!I?Jb@?i6rRR2cox&~9G=Gu_zzyh
zOL!Tt;8o1PYj_=R;7z=RxA6|%#e0~E_wfNf#7FoTpWst`hR^W@X5mYGg|G1qzQuR=
z9zWnm%*Idn8Nc9H{D$B02mZug_~#G$bLHj!KU!fPw8p%c5A$OIw84UCi*{HD?XfTx
zK?f{~j#vzfV+kyYrLZ)XK__&^vgm^4usl}4idYFNV->85)zB5IV-2i{wXinU!Ma!v
z-B6DPG@^n6C90^Q3Ej~H>th4-#D>@i8)Fmn!lu{^z0n7oV+-`fme>mYur;<pe{75G
z@GoqS9k3&I!p_(Q1F$Q0!|vDv1F<Le!rs^igRn35!(i->18^V?!ofHMhhhj0!%z&v
z;Wz?E;wbzZM`JjS!Lc|F$72Lez==2sCu1Z=;S`*T(=ZyR;|!dMvoHo{;~boe^Kd>c
zz*t;}i*PZ<;SyYm%Wyfaz?HZPSK}It$F-P%>u^18z>T;GH{%ve#I3julW;pG;||=3
zyKpzA;2zwI`*1&|;sHE}hwv~S!8AOI$M86wz>|0iPvaRpi|Kd{&*KIB2QT6!yo^`y
zDrVp{ypA{UCf>r^cn9y|J<P=W_y8Z`BYccc@F_mS=lBA%@Fl*&*Z2nC;yZkgAMhh)
z<0t%#U+^n_!|(V5f8sCv^N)PF^3ndI73M)}%!~OjKNdh6EQq#fhlS7{3u6&<z@q4g
z#jrS*z>-)BOJf;yLT4<CE?5rBV+E{;m9R2a!KzpdU9mdWz?xVKYhxX(i}lbA^=LpN
zDkxB*iW-{G9X+r<Hb75oh>fr@HbF0Jip|g)eXu#UKwoT$t<Vo!V;l6xw%88;!uHq!
zJ7Op7j9oAQyJ9!&jy*6Cdtxu_jeRf(`(i%~#{M_}2jU<cj6-lJhTt#^#V{O>BXA^+
z!oP7ehT|9<i{o%SM&JaTh?8(KMq(6B!KpY6qj5UUz?nD;V{kUk!MQjO=i>s5#f7*C
z7h@bQ!KJtim*WatiK}omuEBU*iwU?6*W(7<h?{UTZox#{irX*=w_`Hyz@4}YcVi0f
z!M(T-_hTv^z=L=Q591L`!=rc%kK+kEiKp;1p24%2j_2?^Uci6wB3{DFcm=Ow242JK
zcmr?ZExe6)@GjoNOuUZ|@F70J$M^)F;xl}XFE9&V;wyZOZ}2U?!}s_BKVmk1!q4~x
zzv4Iijz91x{zAU-L6<8(?LS&!9<;{1m=FJag+>9UZLlEPq8%1Od(8RLiJVjf9k3`m
zVlga^C9oux!qQj<ozNM}q6?P8@>l^YVkNAMRj?{nLsztXV}^NuYA{_BYhi7ygLSbU
zx}hEoXha1CN>oup6S|`Z*2f0ui4Cz4HpV9Cg-x*;dZQ0E#}?>|EwL5)VQXxI{@51V
z;a}JuJ77obgq^Vq24Gk0hTX9T24YX_g}t#424P?9hr!q%2jD;)goAMi4#f~0hM^dS
z!*K+T#8LP+j>d2tgJW?Vj>ia`fD>^NPR2-#!YMcvr(rZs#~C;iXJHJ^#yL0_=iz)@
zfU&p`7vW-z!zH*Bm*H|;fh%zpuEsSOk83dj*Wr5HfE#fWZpJN`h+A<RCgFBW#vQm5
zcj0bK!9BPa_u+m_#RGT{58+`vf@ydZkKu7VfhX}4p2jnH7Sr(@p2rLL4_?Gecp0zY
zRm{L^cpY!xO}vG-@eba_dzgv$@c}->NB9_@;8T2t&+!Fj;Y)mlukj7O#dr7~Kj25q
z#!vVezu;H=hTriA{={Es{vskv%7wYn3iF^f=EZ!N9}A!j7DQXL!$N3}g|P@aU{Q3$
zVptqYU`Z^6rLhb;p);067c7V6u>w}aN>~}IU{$P!u2>ywU`?!rwXqJ?#d_$5dNiOB
z6%;5@MGZ~pjviPa8=xmP#75W{o1hmq#b)S@KG+;vpf9$>R_KSVu?_lTTWp7aVSDU=
z9kCO3#x59uU9lT>#~v7nJ+T+|#y%K?eX$<~V}Bfg191=z#vwQqLvR>|Vi*p`5jYY@
z;omqK!*L9b#c?<uBX9yv#7Q_ABQXl6;8dK3(KsDv;7pu_F*qCN;9Q)C^Kk*j;zC@6
zi!lzD;8I+M%W(y+#8tQ&*I+!Z#ROc3>v02a#7(#vw_qY}#ch~`+c6n;;7;6yyD<g#
z;9lH^`!N*{;6Xfuhw%ue;ZZz>$MFQ7#8Y@0&)`{1$8&fdFW^6T5ij9oyn<IT1FzwA
zyn#3I7T(4?co*+sCf>&f_z)lAV|;>7@fkkH7np@F@fE(tH~1Fc;d}gmA2Az0;b;7U
zU-27$#~=6;f1%EX_8)Vj73M)}%!~OjKNdh6EQq#fhlS7{3u6&<z@q4g#jrS*z>-)B
zOJf;yLT4<CE?5rBV+E{;m9R2a!KzpdU9mdWz?xVKYhxX(i}lbA^=LpNDkxB*iW-{G
z9X+r<Hb75oh>fr@HbF0Jip|g)eXu#UKwoT$t<Vo!V;l6xw%88;!uHq!J7Op7j9oAQ
zyJ9!&jy*6Cdtxu_jeRf(`(i%~#{M_}2jU<cj6-lJhTt#^#V{O>BXA^+!oP7ehT|9<
zi{o%SM&JaTh?8(KMq(6B!KpY6qj5UUz?nD;V{kUk!MQjO=i>s5#f7*C7h@bQ!KJti
zm*WatiK}omuEBU*iwU?6*W(7<h?{UTZox#{irX*=w_`Hyz@4}YcVi0f!M(T-_hTv^
zz=L=Q591L`!=rc%kK+kEiKp;1p24%2j_2?^Uci6wB3{DFcm=Ow242JKcmr?ZExe6)
z@GjoNOuUZ|@F70J$M^)F;xl}XFE9&V;wyZOZ}2U?!}s_BKVmk1!q4~xzv4Iijz91x
z{z6?r+JDTAR+tB^F)!xB{8#{Oupru^9Tq}+ER03a0gIv|7Q^CL0!v~kERAK*37xSl
zx?njhj}@>YR>I0y1*>8;bj9je18ZU}tc`WBF4jXg)T057sGvZJDr#s#cl5ye*Z@7T
zAvVIs*aW?>DK<lI^ugxX0)4S1wn9H_jcw2$+hRNX3)^D{?1-JPGj_oM?26s6JNCdp
z?1{awH}=6G?2G*{82jS@9EgK(Fb=_?7=ptv6vJ>hj=+&P3jfB@7>;9bERMtR7=aUT
zB2L1|7>Q9h1*hUPjK=9W183qajKSGB2j}8EoR14I78l|oT#RwJ1efA6T#hSnC9cBN
zxCY~KEhgYPT#p-YBW}XYxCIk&D{jLi+>Xh(19##s+>I%?2lwJW+>fbv01x6JJd8&$
z4Ugh6JdP*uB%Z?4cm~g6I-bMxcme;xi+Bky;}yJ$8F&q^;|;utx9~RJ!Mk`5Gx0t?
zz=!w<ALA2ziqG&lzQ8PeiLdZAzQMQn4&UPk{D|532|wc({EFZ3JO03*_zTU$9{j%l
zkGau2B!ng9L2Jy5`7l2gKpQNGwrGci&>jn85p=+!=!nIzIF`VYSPDyH8FWHtEQ>B!
z4$ET&tcaDcGFHK=SPfmVI@Z9NSPN@o9juG>&<*uyKqD$BP@;+&n$R6Rus$|GPi%;d
zurW44FKmj<&>MZQIkrGwY>BPV4_jj!^vAZ?4*$aT*a16YC+v(}FaWz^H|&l*Fc5oU
zFYJwdFbMl%KMcnHH~<IYARLTCa43f0Fbu^o9F8M!B#y$raWsbG7#xe^a6Crf1e}PI
za56?>6i&gZI1Qt5I?lkEI16KNHqODhI1lIJ0*u9lxCj?x94^77xD1!$3S5b+a5b*M
zcwCDKxDMCj2Hc37a5HYfMBIwoFbTI~GVZ{gxC?h<3hu$ZxDWSZDjvXtcnA;U5lq9Q
zcnpu@2|S6X@HC#mvzU(O@H}3?fAAt+!pnFCuVMyX!|QkhZ{jVyjd$=a-os41j}P!6
zKElWN1fSwFe2y<L3t!?Ze2s7LExyC|_yIp+Hh#j-_yxb>H~fx2@F)I4ogM8z=0+>b
zgVvZA^I?80fHqhVZP5-3p*<GHBItlc(GiPbaV&u)u@siZGU$ZPSQcHd9G1rlSP?5>
zWvqf#u^PH!b*zCku@=_GI#?I$p&RPafJRhMphOilG@(0sV0~<Wp4bo@VPkB9Uf2|y
zp*Q+qb8LaW*b-ZzAGXFe=#Oo&9sY&wu>*F*PS_c{U;uW-ZrB}rU?BFyUf3J^U=a4j
zei)4XaR3g)K{yzP;7|;~VHk>GI2=ddNF0TK<7f=WF*p{-;dqR|2{;ia;be@&D4c>*
zaT-SBbew@RaTdnlY@CC0aURac1sID9aS<-YI9!5DaTzYh6}S>t;c8ri@wgTfa2>A4
z4Y(0E;bz=|iMSQFVG?e~WZZ!}aTo5!6x@S*aUbr-R6KwO@em%yBbbIq@faS*6L=C&
z;b}aBXE7bm;d#7(|KLTugqQIOUd0T&hS%{1-o#sY8}Hy<yoZ^1A0OaDe1wnj2|mSV
z_#9tg7QVz+_!{5fTYQJ_@dJLuZ2W|u@e6*%Z}=U5;7|O8=7A3_DHrBOE6juD0U<3Z
zFXqGiSO9IXAljlG7D9V0j787^i=rbI!{S&1OJXT3jb+dYov|#sU^y(06|f>!!pc|$
zt70{D#p+lCYho>|jdidt)<ZYcqXCVmpg@T#YG^`t^uYSq06noGHp0f(1b+`A+V%fw
z5K%{+c}$5S<y>^XzgnuCu0(!aiSg!AV{Mc3idFUB^AC;B?~qfJta2G<T8fm;QT^?o
zF;T7lUmr@;^Y>7q1<k`tI+_RlY#KapVEe#<!~6Unv!63!>Yvdv{;1O(8gJ|SdwfxQ
z^9ZEowfuMZQD2|7?R2Hg`&8KcC}Do&{H^W(X)QTxGmJI=GN+v9(YZe7&l%(MPk?Os
zlFn+wEQ{!D2j&dGX=NTfvu@57{k@uc`Fpi$?A6_}MaBG;-Z@+B9T*lE+9&M4o9=BM
z=yY(-SfIN6Ij{dYJpZR0{VzkuS~fY_Z;SSO+yDOlHv<1g;NJ-R8-f2{Mxa?^KVM7Z
zm(zln)1QX$&%crU8PD?ft2*5^`#;bA_1_5m8-af#@NWeEjljPV_%{OoM&REF{2PIP
zBk*qo{*A!D5%~W~1Y9CNxtVWzyXmd+8RM_zGU{}m$uUZOCESo@2pW1{aT#u{l>XLK
z=Il>ONgqYrOVaM_ik0#AQjM+wG4))hcT}Sj^1DBuKG8kTq2lgGQ*Aub9Gki4Ic;yM
z7ikc~x)+fB)8@(%e#zRTH6zrRjm3>N-8P7ay9dhb?owIyG_O4T!dbdjtSFmrb~5d{
z<KgZ*HP#fkc8Xf=(pSx~@=a6vvf(1V^=o6$@$Cjj->Ql(Y^&lLu)<A$$;zO=|6FO{
z)moi)KgyKX)JQwMxs>VcTUX(dI9>bNI9pB8CK$^d%;z5bwUcSYSO-x$)?Xc6Wuj^b
zSgB=pETMERJwmfRQ{H_{ml7tse&03whE>!NDa&Na@e{_epYE%1zY>(3n3x~>oJV|<
zU&eF&mrA{UwIQY38pA8Q4RT(q2rVec%8>dkLk!MWSZ40EGyFOJd57!OsI$&m!Fd%-
zX(uuiD<4I=r017f3%%)3(eakJ<}8~S-co7XsGSVz{!s?%x0+Ip+)%TN?NH(te{g&C
z<g*BBKhcn0W2v(L-DkD)(W#o>4m;D2HtkIdS7}<E4)vseb}k|PDo9<yd7{!~CoSdE
zXSLG4BQmYbYsLGoX3~FAZ9`C0lEJ^)5kuObYKn(VtogX>bZ4vgR@34-s9)AjQ!`(T
z6|&DM(f!3GF@Jxc2x)j$9BMpIE$BE$ov|xeX8G6{(<&D-x^{XaVm!)gWlknamry71
zsA5&=zIw9MdlfT(;^Ubdx44vByysBkq~=p)NJLE$b0brU^!lLaZt0Yz!Lvn@;f5&j
z^Rmd^T2UtNt0A8~+$7WP_ErB;Hps||Z4~>TA;NomA>r+D#OQj%UP&A4tOPZQG@cH#
zk@~_1mB5pOM8Ne-<>IsxLi^cECcS?ly4wZF$fs51t{TfkR*89vx7AoB`&c(o`Dc4M
zcR?c=_Q+FOf4DCk_C|@fb$!J^rJYQk>!LPL8pxJGZsP5$#&UCjms;n}a&>%+Ub@ZI
zWao%`V!L}0nf0=he0DEcWP9HcTl`OnRc~es|MMT@ukE?z;e*an6u2M^rPs(CN5f^(
z8V7mWafz^YSS(Dw>x6V$EwaZ)h)O*(M9C>DWK>{lnd!brv7S;xM4o%0xZJ&~RH`vw
zbdI(WRW8?7OV(SeUha~qhV8Ra6Q|5KIK^)l$=znktcgcO<&(3dZf9H7Z9`Qp{%3zR
z=ItrjvV8|3H^&H@g%y?Xu)7A2`9&3%V@-@9w<{Y{#sw;47e$KV>(|Lqt#`=I4lkvy
zQ?z0eGtHQmE6SK%bidMg%oas=)lUiWIG_a9-y@!#P82o;oP^bYc;VH&mV7(=hYUY?
z-RNO6zz}qNs3G%4Z9_m>pz&qcI2p3Jocir{wt8rZl@=V;N4r&Ly>{4DnBuye(z^S6
z)l#=ER>ME%Q_?;@tQTPaT_5?arqM6RQTmU{Qf}RUDS9obss@kVBsZr2R5zBoqm>+T
z&J=gY&i&N;z1nu$N?PN<1l1?QPeu*isCi!-FZ?@tS<b8YMJ~qo>Fc!(#p{dov#l-V
zIHxTCNp&{oQ*Yd=qMomCTXS6XOv!w^R~X*Ln$I=MIh>r5m||H^%Y#8;{{3^p+h>Ha
z+q+U~O|OBb)a7xeXX2QwUfM<N{A;F`m~d0%tk=446;UGimzKQXxX|^`EbqS+79v{Z
zdMVZ(=%|+I(O919P}Gzb*+lV|`HZ!HwiUfMtP%b-oP|rD(v~`;akFp{Jbr;1bM=w7
zVqb34mK|qIr=lCUx3!+-UZ&ax_j9Ii?)#4#OyMWZ<s!6_DE>LhwDA2TVVxErHiVaR
zAJ+f6*0Sw-acYINYCY?OmRA2S)5QQAHSME8@7gFqRElh%*7@Zpm(I+VhS?Ql#EBAO
zazY!+Ir(@_NpW(_7~vB6-YxsuWWzqMMdC(!nke14vSt55JgV3G6TkmyNX6!ge?lXz
z_Ke<|O^wAO{__W;P3jwC+S*TsL^0LiSbU+S-6(LdqYN0@$h^Ls`to;jITow;7~4oV
zlueT111p+pIy-1Vu9LJauUEMbJREHr;g=-de*Y*&*?7t9r3a+mxvr+aQr`Vq)pwQ;
zC_{$Y2uF`3_1BPlYRJM_!gc=|!`Ufq<-<`gv{Cb1q(0Q%d@MYZTUPEPtbb$+-K>qq
zOo#2pmb+?+?G-1=liS)!mq!VPuyc*HHc4AdyO#}h-=KS<b|~kgCHb^7eeYY`w7*1v
z`t0i&bx?6Dneix8B#z&tWNP-t$TB+&8yySDpdyph@Y&yuLEn9p(oXwT>mXmP#6l;N
z5?#RLoV%xV4X{u0H*^(Cs%vU|{^ORi5k9}PA;qvxiOnpf_Wzz&)eoGYzLibYTr=#X
ze6~s2)|#RYtlUS&AMRvn12VOBdYwZHMQSBPOe0@&Jb$M|am$buSX2qO&MyWAqzbLi
z5;bV8hc@z6hU#6wPXs<+D8g?BtMR{tT4sc!*1Yw55vbd(HNRWMwBz6+HKzFh;ZUu!
zT-f!b@IG-@zP?ykdY6yYI~Gh(5}QT4xxUC&4t@;Mj*p&a$wy4|8>2_{rG|i*k_IKb
zu6$s4AiK7$p*h}PBOLM{kyG;=mG%Sn%d80zGPYMPwMVy6veNju;`G56!uNb%>0nb%
zEtI}l^tsnuR{8!x#O+?FxLp0EWXu>MRuu6Ok+z9S_@R$RmkFhn<gHDGq4_GA_N9Xo
zf1#a0-=Mh?w63UHdRR+sL)$RTR6kX7{nbv3s((oh^Btwm{8CC*3@Rl{x<tyD%V~0N
z%gb`tsGf31nP~YcJ4pmBxuaxkS*gTD+*VRLPZ2JAZVK1lbA{8KqU!gR|ENLr{iXH5
zvNE94NU<opi26@_c`f*+&UAEGKkce*J<YJwS@rBUPh=%LR=W2%A^fN17jkzW5wOxE
zOuO^Q;9-5`W2Z&pd1R96SoOP%&v!x56<%j_*?3e53BIZXTwAS7awsKTyN8LTb!Ur^
z!kZOcfxF7rorUCz3j@>uUvI7G{3x|V@Ok0g@SM>lc9!z3R#jn>RZuv#N>MzGTgB$R
z&9o(jJhca%oz+Lv?PZ;IJ>=7EO|;|+&9!#B6VzPsj;3k_YH7ER1*)kt6J&`R<)!~Q
zJH_UvLDAL!rlb_fC2yVnCdO2clo4sZs_yb$S<$h940yCyiNCx-N&Vhe+;gv~E<FB0
zX6EfH9Rssu@gmo?zdlYj&9N$H8rf)v<*zopGc`9|gtH;MwN8oO*3+2PCe}?q(?|I=
z(Md**U!z2>sG`*TwoA<2<0HMQ2Ford{G|7iYKo1Yqw@T+Nqu<3U3K#DQ`4IS8Fdkk
z=Dw3o=NeGj;CMCGs6U#bq&-@1^iS|nT=bJn4wG7%W^}SOWps+yA_tVRoIg3|bU+c4
zthwpDsoFnFOjY{N6LsF&Nqt77F{9vdW0BFbWVCfYEjqTmsaoVJlXv-PhQujd4Ii9(
zs`(GwNyne|<~lbg<<$8)U1sg$M)%rnwWbY9YGYp?ls2g&M7*xHWf{F*Gxu3S^e&MD
z%ypn=^5vklV%Vp-rlz+0Oi`t7t4~*5lY!?eX?~sTwayb3XuF(StEZd}s`^XKjNxV0
zTk6l8ZR8~H%vyR6n_~LJW(_U%Y0QxhhM)seIG;U}J*sseU%!{nF8ol5ESO=b!*b>%
zHhW=k+?cBPrwlV>UJ=Sm7Z<f-d||Ep)dM1{O+J0huz17cn8o60sVLL;MOEbXBJE7|
zI=0hF53eEoKS%3-1(}a~(o9R90v76x`?K;%t20Z)+w5G@^<<(kKsXp9zggwv$L-;`
zlUl;6f~K4ph5VSKfA+Dc7IH4XR%x)ewxs@A%`Wd!&E{rp(=)G~qV$MD;$D21+Vb#C
zVN+wXWq<syRW?Lk8l_aKFj9n9zN&0aSgW-yT-mf?M{e;U^q|_kz*Q0X;<hEG8EdrU
zMe#M%J{eKw@^xtY@4ffbckNU`-ag+<HV$qoJAA1kHr#ZU>t|L{yX3iI+TeEE<k#$y
z_W0Hu%l^D=dPX^(aayL;4iZ)u>X}@d)iU|7Ijp#hxvun??<ceKq$|#A_R2vu)@$*e
z{fse<7V6_GtP+Wjt}AKFBL7pTn*Zn35LC%ksn@K(DRcK8HLK@Z(+-<MrrI9sWX6+f
zMwiG=Zdo5s850+7G-L)9G`Hu=l*v0ad1YmJHGEIBa9q$vEmZNC=~c{i>2mChL0_PN
z^6>L7aoXyEJX@x@TI5G{nb_o!lK7*V2(pP4D{eFpX^*-q-V+)t0WRl_-ibX$>Abl_
z$nNh-w)-<<$kne(__25;eZyR3#r~-xJK%xhm~HN(Pu^+_8d_V4Nq1Btw{1|Iuf?fL
zYxYu26NU?YuZ0GWtJ91gw^}Q4V?&k9dqc!Z*8(!A(q3`)Kwfz)yqX%nt%s#t1syM7
z2x>b|(IvQw^mj!?cAG6q?~QxJ)wvOJ^z1;Hpg$%O)yYaqozsffr%E!~)l&rAbyqI7
zwGoL2l9bFU*NoYDrWpgy7ciuhowhye?Q%m<P<}(!mr&#A%5gHod4hafI7kK;id7$7
z8Y)Bot|hX|R8Ybj)>m}>CMub^T8q<vrHRHr&&WY?ifPI0k)|;bnpSi2RJG{S3i4IE
z@3P-Cox0w~T3*WAS*9-;t~zJb)9gP@Py;F?DH*eCi14q9l4##a85r0~4Om;yl-akL
z>2ZdSw%0SC>YrX%O>N&ob$OXC8+?e6vPgoov%Vl})$mpqrGAkc@<plhe?3sczfV(_
zXGTcJLWN~-aaMi(YlL<)E=F7KZl{$#+)w=#nXOiHYHy0@d0p#}m?YO<Z6gn*Ef5)N
zE^hbV<*hWS=%pSDf1;lMc2Sjzv%00Nn;hJ<rs{aJpqAaYsP^t=9o65hl-gyVx2jt!
zwS<FxO`kVRHf?PZsD|7gBC;K~81;ImWc{V>#>~^cMw=-c4OwkuJ$>>)z0Py8KKtnj
zgG<OF;i%70tep!9|3)>1$5SUI&gX_9Ja<1O@`bbB#d?4~zHXR77jeVjA3aJ*nPMjb
zUOO2w#<x&1))f)%%Nj{tP?);(e2l5$<QH1v$4Vme>sY=2s3ZFHhc3qKYN7hDgT>^)
zyfc;Z1}`<Kj-wVLW~yOROQ|tyL;jb#>~|k7J*%cMsC_|W%*U@v{_WdDt&}JkQ+S1v
zHe56J@jUgJU#sXnUKAB8PMuNnf4HcfKUzn#F<vmQ=f8bG|33RfnLc(}oj0D^s>$2b
z?rHHNzUBm@Ydb3uw7#ftb+b`|f(CEbcS$r>8g@aXPN*pE4w357v5HoHQX|c;z;3nq
z+jpw|%t-C<aBJyjRa<<yIz!%CF;FIsnkj51o=}4FIv6~nGxd=k4b(*AQPb1?Z%o}w
z_BCyPl}qzbeyIsNRa5D%gDri^tRhqOgH!)fYiD0m6O}hw_bc;d!+Y;ESHE~Q|GqTw
zzC)z8c5Q;TrbKRSe(}MwQs-R%xlZ>_$?LXVZ>NPskJRF2f5qm>Vne45bF~RcE7Yt#
z=Vi;$=4(Uix&Mh{xZ@(XfS3q351UQq>l9CYOrx@vzH#`0s><8(wM<?0mrT{KmUB<8
zu~NIS-JremHA)xj4f@Q{O)T|hPCePE`cgH>P(j(THm@vUwOc06eX7LOexlticu2eJ
zv{fW*)~hEIBP{Jo%JPe}pE_O4kw^N=XEqDhN(OCJ^mbF`BUiO_(d9CHN2<Z|(Ns$w
zJ#3cfb%);QBVWAy&vjI<aU134OWkEmXi*v2X1p3a{EE82LUH#p%0bQFeyRC-E~Re3
z`8<aBp)K@rA(f2*uf2@XNrgn>l3PaCT;4)&oT}`qnIh6lt`h;HSBQ{7PYf~J9~is?
zck9E4E>v6>8N}DHIdbON>au@com@3%uR5mWVfBFTJn7-kUrDNTPI`4pkkNg*$aZbk
zh(jHEXinZ%mVQb6&U4C=RTX6N=AFXUCBNFdXE(Lq+6Z;!G~<7ckw^3neR|eS!`=Hy
z;!`h!blP=8Dpf0~Z=ZG(8T02Vu4mhexO|#eztu$+%9kWP+MhOhf3y<5wSI}UCvt0Y
z{8_D4vA$Yxh2Cn%LAkX<Z-%Miu0@5-FP)Nkv4K&yZI9tw>%rpf&pD#)xmoh_4Lg~3
z#oCzt`IIrOVJYQeCl8@J+g4;pja9z+*oj2HvcjY7GO^kAlyJ4xiS&ssN}BZ$B{F=0
zA+%=~QSHicY14YVOkJELKD2O@`_6>Q=uJ<=kk8$vYurd_Q=qw67U3lWgL;URsh*1C
ziZ3EPQzv5F{xO7)N-&1>e4=E2wK5;WRc<beS1Oy=uND7H>YyehMat-A?S;qX@rvEb
zIpSAyH#zq00~u2`Mm==csKyoSuD+_OSJ%B<s_xi1ULDlCta>t}xwv~{j<DO&S>9?n
zSu;B1(eAxiEA4Og76<Fk6C;Y37FmBUHw3gDuZ(Y(OC9L%pmkW)!d$j$nbQ0QX%)BG
zs+nKIWRI;&)z7D$wW*=LS{29ks_V&VLbvU^67hFq;l1dYQoFjZ@Sb%?$@Fwq9DDT=
zI_DXRzUw8$uId93<eQ<)AAeRnUU^f*d@e7tid-^&bF3^KcP5JLZdFv%#XQ=G`oWsp
zI$v$nmOkq4#2aenqXydMj(4@dehW+s<x-RX{Kx7w_h{87{HgZ2SXoo^u0OQ4d0J?%
zb_Z#3X~VQ{F1fUf`JrmQ84J}?r|eDpcXrdFmsZvmCSK9{rFGFvzENtmce&-;gqkA6
zqqT^M+HK6XYbgRorYixxA{CFCuSIhH`ZDYBO>?<BlpOgYM6X}9P5ER~Rt=9`X+9T!
z_dC6F-8DFlnW-#IPZZI6FNyRq<^IzT$vL-O_7@R`N=vj)u`NvD?M@l8UguMqzUU+4
z(hQ0|d6lK_`nxVYl&sf(bqlZ5%joF+PVqm~&p6Q4Nw{8XARC0}WY*g&Mw|1##!>HM
zH7BL1mag?Pw_Dzpb2@H=UOAl<E7Bbu)$pxP%y~OxnXlK|Cuf$5Q?eR9He~lJZAgFh
zO3A7`%b3zFkA7qOjq=B$(`u2(%d+_U3i8~bQtD){8LF*o3)6dD19x4wyQXo+@@wIq
zUyPA8LJeuB&nr!=%E>$qjZ7n3Z<R5_UK_IJY|!gFe3#J<=d@A5!_~Nj73H%X=d|9n
z&ZsuiGn5gFZ;G0o`p7PCYpE?G8VbkSA?$BXWDdE-jf)bId(UXPg^x9zZ%1>V`1k(g
zy!zkdsrOGgS2x=(>UaHD*5BOL&9>Bmu1jC)V;s!aAG7i+=62UDpiWm~=BR3leS>Zy
zq|{4e=JW4{&||T}zwXBW?U?*`-8s)9l5&o3K+GybMrC`&W&H$E{O}YRTdbj)w^fuH
zlWV0CKeUqm^{SI<|Nd9BvFG}!a?vNDtdyp#QK>R>@=oc|Q)qq%Zfo<S@~S_M+?5U1
z4^!iRW(a-qaecVsW;fkRy&?QVIb-&;drJ7yYR1fzdcvm5bj5Y@d9Dk5^*Y;`#`*ob
zi9w<HrT?K&HK~0glTxC$`|a-1eRq-fT8jH=nZIRKIi_H7`NKI#4ovZp;f{Oj#dR8C
za1C%u&hmL@(4APXbQpd>-in+rf)XZ~`*0og-kE#rl`dRd#Dvumahdg%74xj5N9;1W
zeOf2kEdN4zBiKsKu#V8`rsUB&xD_$C8Gq~dx{uXj3_Fz2th-w6rH?dy>OrYI9VQQl
z6jd|&#u#IcT(MmHq?DcK7WemXgH!i7QM%kdxxLgx>2PAMa4c>s!nf^I<fn5YAaTFi
zCTpl_UHYKVm-w#K?sZCJI;o2NtD3_0gr{m#BgPbc$$XFQhp*-M<{XirrgIEgMO=;H
zj-GBVK9h`(T}O++#(K>^<++;ZwMsZ`50*b(926<vFXfzvmiE^2zT6Xy{t>=P;t3an
zM^G{4@r)9p;;hc<uA)=aJS|&k2VKsq?FxIVEyWV)TBWJ^y=RQ^ZQ~XFi*ZVt*ExfW
z*E)T`?(xR(ZM~K7JH?drZDW<VbsLqb1Gk9mdi#Zc%sFMlN*~exL2emoC@K$`5=Dx4
zdExJQPVsh~q}aUwprizO8MAjSR{UpKD=t^!4ViPV7~`%jR?-5lD=`NviwwUB%Ej6>
zM6yYWfWw(e{K0hP;purIF<%>T*GVs<((UA-`mx&F8{yjH^{Hz2Z|Bri=SHd4!2{LP
z*%ej4qen$d<RazWG8?r?1264z*#%nOjnQ)Mvu3hG!*^o7UawlawO2RSQl-s`S&DbA
zU51DyjYQOr@#>db(Q0zvvf8t4H?*2luc?(olGJBQ&Z(DgFHr}tyR0?t`NY)uuhpgx
zYfs9wc{hbuhoxdmL@5~&l3TjgFCt4$pQZZkv(a1&ol`xpPL!2;6_s~yPZn9NUx@X=
z57p0QyJ*ky_-M`!<F$GlKFF+prWqO=7b@3+tH^1U3#$>vd*(Xpo~7(0HkfR_=WyLE
zAajpW@Aw(9w0j<Tqq)1ZUoO=5pL?idyL+1wk`9^dE>ttwnWn0d-nq>8g45l?ZIg{B
z`?Qru%0<ceq_b*TcC31F+6Gb5`?S1LYnIwJ@v$0O^oh`!@4YAXUZiXYX(IdIHK?yw
zt<zpL-zSs(n@h*qX>Qpk518+X=QWod&*b#8H7$9HX;j7F)#!nm9hAp(E#E>JGkSqy
z^XRye^8B(fJ79zI?TbmA-IOk8x1A)*?TC|etG*L&8;6RAE#8O~9|sAWjG_9pkJ2rr
zcBCP#VSD5JUJXRzt6ak0Fx!~+v5A}G^ZZJdtEakeU{_O1&ts~GA)GS*rwsqrCGv&7
z-1aiku3Q1tZ~fo0`ztBa=U-Aor#%&&{nlFg-T^U<>bXqWFJHbJE7NxQY4+Po3j5{T
zrORJ`u7iKKPmZsO8FcI8lvJy0>amSRwZO?l)3OU6Ol!Y4Fr^K7sV1M?sOnC(FzQ2N
z^)W{Z>h&#JEAnWJjC<JFU0>j!_AP0!h$=Th8rnIVmbHsDIUMb!&WbH5{R$dnkfE@Q
z*X@)mI<FFOi}M+x>Q&J`ZTTv75&13kd|EM`p}^`5>b0`=rp5)LEd95DyYYsYM*C?8
zJd^!DTN@V{PsxGhM$6vE%4nBYrkmym_-GY>6;o5nuC~<kaf^?;B{nNx&!$8#gU2vy
zV?g*dC1PiiWqqz^&lnP`<~77$*lIBNFVJF3c$*@U=Li>{1nK0PVDfvKrNwp1C;d}w
z-MkCTHM;g|sH81uWDI!H)i`3VwU(aPRy{O)v>KgzdQM#bldqimBs1W+lIT@ddAsA3
zh#Qivc&BetlE2><C-07t={FW?%7infm$s)Z_uoTO7Z_L0uPxu#+paC^nPlo;A+P(s
z>3g-5E|&ZA=Jk5&U2b<W-+QQ7&u_(B;h*x=F!kkrd3Kez44*NW_9<ukp2_h;6~nW`
z4OH(!4^+R}?WFgXp-M>Pa3$l+9P@qIiALR<)|TZ%Qm5+m`T)H??SVnxS5-1PY&9m%
zu~A}X^jG4pS1@>&Pt|9SI%^D`epTEGTc;kJW@ElS@~o#Dx71wja_i$Se=vH_eW3)E
z>}R=Fh#b&VAJa3z5I?H1F>r#H$QWcRn{;2PCe}WrrW~!WmCr7vJs&(yyLorffBv~B
zDC)8yV~VvBKgQfAwk{`cr}dGma(7Y(h73^uagge*29H(GY2{3FdY9B}+dq}|XBLRe
zOXY>`P*E{r`YFxh@MF`wn!i-f70+av-cbvlAE^3_?J1Mr+*Q{cpQNR{*{<F__E=r}
zMz8L*E2dU!^FsbenJ4r<EkxYwd*%;Yn~4nf2BLF;OyN*yp{%xgiOhJGPu=`Zst*n2
z<i4&?ME-X>w5)X{wcaE2>Y=gzYPCUURIBq}Wx&WhLboth334lJz6Z44;GHztkg>o?
zaXfI-5N@zCW@^Ha5>`cV?HwZY{^sj@zq~Sf-*k2U-V5r~GB;HRpBb88NH5L0@DcgC
zN^bRP>wN0x4rA1~azoXya&Br?)&aGrS0S~{o+O!mWVX~9o+u%oYl%^HXNt?Id&H~4
zkEQgAHl?>Tm})=oWZF76N?ldHn|f)<1^Me_OX=FYk<dRmXY{{nFJ0TsRfhE}s6OgA
zP>Z;GN}ZAsq22v5K@Bh7LIy34Qd}M_G9>rhqLvTst%XkVmFHJa5e`$f2*-oD)b`!{
z<gp?x)CAoiIkWu{(YuwG^cX!?@ea)^JYGytQfmrPE~S**)w7E<ome7D)Xt?Q73`;$
z-gjHQQqWmDbtF*zUj35{|FFzBe@+?kX;xAB=uB~0+`hd$Rz<H?EZ#xh@VO!vom#2t
z-#=GJC1t6uOa9R+)+wj9`qEnM6}m(g8#!6kM$a=fpW8+2(AV6ry){9fawl7#>QhL5
zZxE?Ek65jqY#J^zCKWKcIw^*@#n1KLfo=w!_cWuf^)*9C>I%JM$vldy?wv7vTLYtg
zYhTmS1+z_e-8N{q>Qxnvi7)<heVcgVt^TIBgKX^lNR;2ZM(x`3uI4>`k|}1~1d~HT
zxM~0V7TSi&S5(uwud;DNUlDh^VNO3npRuN$TiOEaoPLLXNwFYlUt*z}*y8-}Iy$1g
zzD?*08QVc;dR%a)cC%D(8F{8B{WqO%OzuUhopWa`$hWcio@mZz@4xGkidIgVxPM6t
z2(I=&>iV1-MyHEgY)q~+&{p^__t!R;ek4oif2t4O{E%J?<1FW7`q`P=e=n)iIZP@f
zGovDnIdx&iq{+YQ#+k{+n9FaKX{Ym>ZsdQUHd$~_zFHtmPNhGHfFUJ}0rq>7Q_2=d
zzEw6;rX`m*t(f;q9E%@s@(^padxOfTVRd?FH=b;>)TNCp+RB!?04+ZMhX3@J)Aw&P
z^edEC-Bog<Y2)Y8?y0v__fHPa?mLb}Yu0-z$oXlm+QQkJrOtD@J|i^97~u3yxH`R1
zt2KWlrA<q*vQCh?@6ku??4v+!{@D8FcH*NxHZViAJJw8%uX9I96i5HmeaRsgD~XKM
z%WCJ77ffwytTEY)TCez2>Tk~5pL+REB>tzK`t-B6w%eRNqv+>#wZvsbn1dSo_XN}Y
z*tx>P=A2tf)N7;5@QF%HBlG<bOZvS|n<1XYpyJ()X<e<2x<fzpi6a{s{X6zCE}K(N
z-hP=+O9-E1I{AEw$*%h;Ev5J|V|e^C!;orAwR+V`nyPf^D4V=mqgtQXV!n6Z)Znqa
zsuJXSN4b@9O1zyDD*RT?6qCM3o6m{&=CXCnO+RU!A$|TYV^;4tq4(aP?vk16w|SS;
zIaAL`?@zuW=zgp*WJ@z++?<uhthWUXna}qbKHsu3ZGCsv<kmjPH0j}GQ@i|WT7l#O
z+UfDf#e7{UVUyfNWOmzciD8`26+@=mP-BS47rjl1%Z5?Tn}tn!FEz?KRQBH6K|6o&
zwT$u4uU>ZCr7bG;L3X*8s_nXROLaIMtTrF^StPZHll?EhRI|GdGp#gVVb0e-S39ou
zmd#iHkn79rk*Udli{SX%qHO17a&LyeI`33@_5W(>%A=aN{%_bSMiG&SsH}=gL`5>0
z_dcIDiDGd<l(te=#090e;D)qfjaCGLxJGf0xL||g7K$LEf(k*UO0=#~#43s?iVI@F
z)>?l9UB16}PX3t8Idf*_ywCmI&%HM%+xm@SDMPhb;S>djbKSA{?s|v_{X{-~H6NC8
zNtk!B6>}M|4rxp=%*l7fn2&2QY}-@Nx#qwwH%HK~2%?@lt`NiMTSUi=q5V8^=sL3m
z9?TdH@!<@%#T@|1+kq86CD?b^Okk>IFr<|f!t(C&Rj1sQ5&nz$>%KgV@as#=<0nC6
zypigbScs?k1ka88i?4Z?LfN{{@WJvM@M+rvSZd#il}=v8GCX^*jLJ-yH{V3V^Q_=n
zbz9KCJ3`&;*HY7YFDiZ7kJQ;5Ai3@nsd@T(qJP?zR8Hzf%X}oDsI`Hi%VvY7w~QwA
z+)v%y&QaZ)HpFjfB24L>47KA=&?)bNa8Sp6P-c1pvl=E~YndGzVzV319vF=USN_DS
zH^<}BLpChUZ!Wfb`5nm9E2%23fL3)hLZ8tS@pMfqOmFnXMV}r~i!gy`EGeWwe~q_)
zl?IK`X}I1s10&DggHJm)V{zO*wDj(Wc6&={q;Cu@T4MlhOb~nTafLp3y_!lcJ|Z={
zJZQz-elW&X3tieTg(o-K!%JgVka=lozlJQTPbsHSr|(gpc5|s^>P8ysas}RhI)e4L
zHqeNxS)%rpOt_?Rd{uaz((M-&dM#WlBwt=2WH`^l^Q-Q*U{!Njxh?2M9m_U@;cRbo
z^c{?M@N3ZT$mZ%Y+LP3<B+8wsCZYR!(8m75`RM3t$JC7<dCs&+S!b^27X?Mp{F}AZ
zWEDq-{Qih$)NcYC<peAx_Dr^FD3v@6XsPXg@j%aQ!ke3dgsVHG%<>|J*v;KYUq`tJ
zWoNg*heI=%?&1o}_Y4C`Q#z3u_bAOHqm<FNKZqRCnGX&q;blhuT=81XpB7Be?^w|?
z2Q(k6FYV$2od$qs)U_5~Sl=U^PXEJ^1-{-U=ze()`YT6>c7%<{>!0<nYOKb3ON`Lw
znH7W2j-#by1A#09<?cJ7>_VUB-jb_LI!m7J+XlH8pVB|4*kFe#45cL#@WZ#&`0aw$
z*hLdUBi6)_ZC+;FXz!tt;==zp7RSW}ICk<Cp1n7y`dr<?I($7-#W_&sS=K-s%Qm;v
zzI|{3H6&OG&sTI7UM9X4;+OBmfVH)dI`9sQw@wt!*FMC|?4g2oekpS`t`Z)*Y{xHi
z{e_<I<_O;|sTCS`X0yDlC%`qR*=Nfm-o?+TG^UlRD6NkwXYDUSo80!Q!O3$}>6QxC
zYpyMF-|r-*A5IfVf@5x2!RD6UtC4*XP~hPn;NlEW(|;@za$|7p$`ojN@uiU3&R6(m
z!DRL!e;xFly@Ex3ks@gJu41*-657wQhZ?;-Nc4qbh}wNyn5aIZ64E)L@%2`wIX#d~
zGM&QH&oWSZavqg<4dzQX7PITU8-#H_g+hex`oDNC&T&q;ql1#!c%LlPYz`N{Kc_I4
z4^~)y{3@WzZ3>CK+bH(-FF0*Xuu}G`18=c$R%&+^^RhmoN4v_JZ1hJsS~8zSPQAgd
zcrRmy1-JRf6@Ou#PX&A<4MXoWhrnX;RC*6xi4v0$WyhX~xv6g4qAA~E_0Y@I)VY)o
zOPfv%=gKhf&Jq@z*|DWA_H^+FV@x<XA)A1&n%rA@t*7>>qU@uRE|pGVXQW$Dc4KAB
zJ~0mKohx58m2$s_&|G<cl=OGvk0&^xHgpKljBfUIMK5<*kka%W<qQ0)$l7+hfvj5#
zJ!^Wh9)1gj%lkSAGYikMRjO=OG&zALj1aREmnVY!P#w9@)`4}p6pm>VL$S}}Dypfp
zCYG<$$s&o0h8cPjUB@&cTwG1n!=15bm>So5?14h(>7Y(M4u!sD;InBM&eBzYaeg0I
zwCxJ@?(h@Ul$uFsmJQ@%0xZlM4~}bAL1gS~==Y#Cn#f(+IMY?hHR$+YoX5+EFE5EW
zNkVs@p*~bgV{7uLrL>d?RR`#@tO;<FD+GUQM=-bjNom<Ngmlp9sC<M!kc+oz?7bX%
zZ)X5R+-O6pe()sc=XXF-F$Od5AHvO12e2_@Hp`y08>hVg8GCX~ARE{dEVhT?XmtlH
z-oFx~W_Ys*vIpZ%yh7^S28*ozq<_p#1lgxo_<oJIVDo6HQ0A3{anZK$K4A}l-+OqB
zi5T_AcyvF%kew*J$^tHdF!6jPbK6^hkIU~u!pkY3AJmI>sSBi5jbffPJQK?%Wnh}E
z4eUSM6Y_JMvG)E88U(|r_&;{AbXz<)XpEpv8->T)?1f~x2c|Xp<1CM{ph?W6^5oOJ
z-Ge<e#Njij7`75F6|TeBbJn<Y<!-dz&`Q|fHHk?R@1ocBP3YS1AT|t{%4X*65wa?h
z@cAHLY?v?d?o%7lGuwdi7AY3idqZ|c1IV^z!jaBTVA1fA;8@U~oxczTO%1l7cm7*b
z)s@sJ^tIN!I^+ab;4wxK-R(MGiGR=#c@#uFTn%+0qK;qDTFK>(ZmG4Z!9k?(VlU8Y
zM)0POJV}_4L%CV@q@dytk(>JEHshUf*msJf!>b`k*^9=u&cwK%2Q~9J@!bEGd8A*i
ze9kCdc8rjsoC8!CI|i?PW589mL$K5BaLm>)sLSn2KfPTIZuc8u{DrRQ6x9b)yFCPl
zq&#qJE9!EtpYhydHD8ypU1>43R(igh0cU57WDyC!i9VLV>A$<j>v!0R_uY)~fw{5j
z9~8zHMm|h(l9&!sCbKva^P}Cwv&oKVyL<7$KOG^#nW4m--$vAw8~*DD|GVp!e(~RP
z#Hy#YV4unLFciL#v}7OD(p~|s(;8q<U^uE*8#(<BZ$<Q?CZ%V`5Wav+<iiRYxPsm7
zI7^aU%lu$;){?4Amz3)3*Ll|I2A#6xPnhTw0iBZEaDB%FYOxw8glaXaMFR#1RU`GZ
z;PZui#G1b~0Qr$G_^{0uQuq6Hu@^aW3j;Hevzo%>^X;MX*7Ige5k1KmF1*JG)PAa@
z5#w4nW5_@E|MxrLxakVdAyfY8trCg3TosUO>q)uphg*7!MDm{V>e3x-nzHHYEen`3
zauy38H-h#1qYtxOJ|*gCVT#zhyNG?40ZiNDB&2=lfU3S}_#vGzZ6vnLJ+f$5e%5cx
zg~gE`Y@Blr)IuGr^FPP-PxfH40x_d1E~9)lsT<XqySZZm6gR$LcDJ*I*a0a})V>${
zcAS%N?U_=jJ>Lh*ey?WsGAm~6E+@`W_0;=uxRB8MmJlo%EjaA%fmh!qV8&uA9ClC&
zhQRGgiI;<zck@^3V~6sx$&<*sE8Stos|0X%Z3RJHCG@IyU$9lrW&xAlh+Jhdr|;ZG
zsmmA0!)Z%U_NrNf`kNn&PJRQUi`Sr9N(0ol?b)9@D?u6`$7|gGBH9DXN$@otse5>V
zG@dy_@()NLHl~T_nmU1TO%Yhd$Fb1;C)wbL7Z7{dUd*?@RK%*cbLQX-J{C`iy3psu
zvj-)Phsz<kv>4xC?TtUL+XdmNYsJj>GWu~%E?q6N!kSI9(e^mORGa;{d*WJzxpo*b
zs|TK*ufREv-$7{Ab(k_$C(ikMq2Z@VSk&qR$c;xt&C6A(J0Pc_1DdGAl}^ys=nPk<
z0rlJ>=gsK@`NqKMyx~oIuIlYzJ{oHYkW4t8puhm@c+7HAVC}W%^rfsfBvpQ-S1os_
zzViYabg7(X+Z=<v7yLnXFrG%*GMcb@Hobpw9(cdW5p(b-sp+LPIIi@Al&@W&ZdV2$
z5osU;w_5OatL>P<XQT1BPB{2RDWrs$*v;8*QGa{|1}?pWJN?9*;gvf`Q&zFIXY=v1
z5qr_qUdqlLJ&S9Xy5OnE_fWIg2VXr?V0zF+DA(KKnJ9O*JJE@aE%9RR-O4b>u?JIa
z>xBk`R?I~hxVrj}%D~@_(X(spFmupiR@Ym>F2r9#b3*}!SD2vSr&3sL-GEZvWhR8E
zS+ctZmi%T7zA1rd(sInUl^siPI|7T9qv7~>DX`(qCJ?4c;A;L>TF_xCQ76vjWn=ac
z&w)?Kx2+7o3{o5}W=iIG_D6@(hjdxWFI4twFE4#OlxP?BqK@_ox_Dj|m6<AudE^n!
z&||BZ0qM_2?0mxqKl_<T?$1U;WHn^i9;UI5?TOjfi})OMp>x`vpn9K6#FFhu8@;}#
z0nyd8taT#JwC^sA%uf-DZ=7SY>A$k{Yy&(T{}a~h<Jh8?qd=DR4Xynx4ICES#GbFa
zv(3|f7ViA&hgT!EQ(aU&k%7-YJU%e@VE5DX%3*i5G~xh;>zzS=(S=A?gb>{i7sMKx
z!E?nUh{PwI?0=g^xna8hhbba{jI`$^rKv=|XeTV%)tOGwREe3_V=WjQ26x5m-1!#F
z{2vZUBoU2C#IQexs8^rjq+xz^++l$BtsDeydI=3PDKXu*2sAg_^1-`;NJ1wC`s}k(
zT{2A<a<9+8QH3_ltb0mApUEicED^5OMyiH<Z4q><mx~<VGxz$(sr26FuVL9X9p&Og
zFHRPqZ1nA)tI3O2y5-ohSHJ!Rp@T2cFmU4Jb6zNmid?9)(49&eWVF;YSr8Kcf>h6q
zu!P5EtylE)`UT9pHjHHsz9$|_Br@Zd3eC-W?snpGT>YX(sHSI`<IxzJd-W(y^-RK^
zLHns{&?Vt{>kGKBu10A5#!qE;EKzVd?xcFsUB`?YDv0Mdp~~`Q%UOL%3~ko-o3HyX
z?liwAjjWwwZyf>sVP^>K_PLNMdfNS74pfDH@1*)-r&bW!?GZZsK9vP8%M<td0mUN2
zA@;!a9P6|*x>@thwT<m36pb!axgYWp3g%vB<4<p8cVesrlWiE<+)!iQmOH}W_w9tn
zuNp;8OBH(eC%l%s!q5Dx7k*P!g5Hsh;FDA&96Yd#y*rqV4)Qm+>6E7`Ra(ee=j+&^
zgL*i4J_$n#ce0wV3WZmPpJLd<Zep)f=IZZm<qT8b@z-A{X-;w~-PX5+`NVY<c1+rW
z(dKe^Fv=e+-IYq+JOf`|*$z5PlVT9*Of@QA^cwAyvF28!F0&2h8w#<@&Lj*vc7z4M
z2-JI=Cc#y*+^nu!FnL^8*t}ms<2}}*`IUr9shu*aY%9HWZxicd{TOv66F5^+7h3w`
zXZY!57hFHW2HzU>VBVTfYCAurbFwTn^2S2gZ|#92le!7#->X;`OoocJd#LHtIr_2a
zHC@_S4b_Dln_t?UeRwhgz4{Jg-4`DeoQ2D5yZvpny4(>nUYEih&mF++j}#Q-02-=S
z^3R`!39ZMZvkybgV%6!cLanKSo%Kq^d7Fmd=$d#ICd*{wR`kN&k0xN2(FN;^E<%KF
zIo8lM7+4&F)BD#z@T+ogRGxx)e@26B_HwFeJD8Wot>E=1b9jyQUb6iA_VBZ=4OTun
z14(^ffH5{1wUZA+<nn4d-Y^H;|4PAyZs*}z_;eWBV+rKcEP&WLIaJ!oKxW&8dJiwB
zwvr8Cd0flO9yRfEHl@>3*6xs;(gEtUw`sz(E3~9O6`VHPLeP5`YBOX5y;FM}#_sZk
zJC_|neP}<?gbX5akG9isZST;ix<abGb%YiaBR$WRqrYwr^S<Aa-JcW9UTra>&-Peq
z_7gq0XPb%1zZ*KNi@<W(U5GHRfjymP(Sqej5Bj#Jmj<=N-y1uz=vFgO-qxK4|G0)G
zJFbK}zeEzfuPu@F|B{6HUmy@Rfy#Hs!sfAk!G<lOy58@I^zC+{IqpK2``?11h{N>T
z$WACtcB5{uSJ3&!DG<Bz6EUq4f4kwQrlz<O3|smZ<9dBWm-(5vOxlZW-FOlmq6=y0
zFMVigWg?AkS_LKn04^kw2%QsOx6wseXZstmJ2wF2lN`aYAw!vUo`Pj!3=MADLVW&E
z&<?F%V4deUHr8qpi#;_&F!dHSu>va=G;<xA%hxLk&Wu#b=KaXYkEAJeC09hx{&R)A
zvRL$Wx^vpgPRi?ZyU^1gvZ%JrL}hahLegy$F?Ncl+EzdE5xQ7T)^8Xox{ac*I+D`|
zh*^k#miEP<0JU_wh`G&tu1~IL*n!soYn0DP`j6)|pEJJL$?IF^iJ0gpX3{n)bk&ta
z`lya*5ARZnI<ts}l}h;!24Wewg4cNUC6eW<Nqxj*8WxO1SMsGo?slEC8TcpbVu@Eh
z{<K%9XsQA8ffYo3DT$K@?In@YPjuX^IN|4*;i{t})vCbxKcOT^&Z2wX=k+yax~zMc
zs;A1EtzI!1f3z7QY*%^<!)KK-&o7a3bH#mDCFW(_Kad({4a$ELnC=B_=~2OR*Yk$<
zclfF$BU<{(^N0y}t=Dwb@D<@gM!N;f`^HXHPQ`aZa3>{A@DCEbmRam&)UKA<`~Lvx
Cg?bbK

literal 0
HcmV?d00001


From e6107107a2a7197cd6887d70497e4075c971a69b Mon Sep 17 00:00:00 2001
From: Michael Heslar <heslarm@gmail.com>
Date: Wed, 10 Dec 2025 14:05:28 -0800
Subject: [PATCH 2/2] cleaned up the notebook

---
 atms523_project.ipynb | 3315 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 3315 insertions(+)
 create mode 100644 atms523_project.ipynb

diff --git a/atms523_project.ipynb b/atms523_project.ipynb
new file mode 100644
index 0000000..79f7923
--- /dev/null
+++ b/atms523_project.ipynb
@@ -0,0 +1,3315 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "collapsed_sections": [
+        "4CV6airuX90S"
+      ],
+      "authorship_tag": "ABX9TyPLgUNbplkhW5Cm3Ta0qWYF"
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Module 8 Project: The Spatial Correlation between Housing Costs and “Perfect” Weather (Air Temperatures) within Coastal Regions of Southern California"
+      ],
+      "metadata": {
+        "id": "3T4HDLA9Xh3N"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "#### Set up environment and import libraries"
+      ],
+      "metadata": {
+        "id": "4CV6airuX90S"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# install necessary packages for GHCN data processing\n",
+        "!pip install metpy\n",
+        "!pip install cartopy\n",
+        "!pip install goes2go\n",
+        "!git clone https://github.com/scotthosking/get-station-data.git\n",
+        "!ls\n",
+        "%cd get-station-data/\n",
+        "!pip install -v -e .\n",
+        "%cd .."
+      ],
+      "metadata": {
+        "id": "ET_1y0OQwYk_",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "ca45d8d7-26a8-46a2-fcc8-2a6b476cedd3"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Requirement already satisfied: metpy in /usr/local/lib/python3.12/dist-packages (1.7.1)\n",
+            "Requirement already satisfied: matplotlib>=3.5.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (3.10.7)\n",
+            "Requirement already satisfied: numpy>=1.23.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (2.3.5)\n",
+            "Requirement already satisfied: pandas>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (2.3.3)\n",
+            "Requirement already satisfied: pint>=0.17 in /usr/local/lib/python3.12/dist-packages (from metpy) (0.25.2)\n",
+            "Requirement already satisfied: pooch>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (1.8.2)\n",
+            "Requirement already satisfied: pyproj>=3.3.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (3.7.2)\n",
+            "Requirement already satisfied: scipy>=1.8.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (1.16.3)\n",
+            "Requirement already satisfied: traitlets>=5.1.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (5.7.1)\n",
+            "Requirement already satisfied: xarray>=2022.6.0 in /usr/local/lib/python3.12/dist-packages (from metpy) (2025.11.0)\n",
+            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (1.3.3)\n",
+            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (0.12.1)\n",
+            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (4.61.0)\n",
+            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (1.4.9)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (25.0)\n",
+            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (11.3.0)\n",
+            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (3.2.5)\n",
+            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.5.0->metpy) (2.9.0.post0)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.4.0->metpy) (2025.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=1.4.0->metpy) (2025.2)\n",
+            "Requirement already satisfied: flexcache>=0.3 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy) (0.3)\n",
+            "Requirement already satisfied: flexparser>=0.4 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy) (0.4)\n",
+            "Requirement already satisfied: platformdirs>=2.1.0 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy) (4.5.1)\n",
+            "Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy) (4.15.0)\n",
+            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.2.0->metpy) (2.32.4)\n",
+            "Requirement already satisfied: certifi in /usr/local/lib/python3.12/dist-packages (from pyproj>=3.3.0->metpy) (2025.11.12)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib>=3.5.0->metpy) (1.17.0)\n",
+            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (3.4.4)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (3.11)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (2.5.0)\n",
+            "Requirement already satisfied: cartopy in /usr/local/lib/python3.12/dist-packages (0.25.0)\n",
+            "Requirement already satisfied: numpy>=1.23 in /usr/local/lib/python3.12/dist-packages (from cartopy) (2.3.5)\n",
+            "Requirement already satisfied: matplotlib>=3.6 in /usr/local/lib/python3.12/dist-packages (from cartopy) (3.10.7)\n",
+            "Requirement already satisfied: shapely>=2.0 in /usr/local/lib/python3.12/dist-packages (from cartopy) (2.1.2)\n",
+            "Requirement already satisfied: packaging>=21 in /usr/local/lib/python3.12/dist-packages (from cartopy) (25.0)\n",
+            "Requirement already satisfied: pyshp>=2.3 in /usr/local/lib/python3.12/dist-packages (from cartopy) (3.0.3)\n",
+            "Requirement already satisfied: pyproj>=3.3.1 in /usr/local/lib/python3.12/dist-packages (from cartopy) (3.7.2)\n",
+            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (1.3.3)\n",
+            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (0.12.1)\n",
+            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (4.61.0)\n",
+            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (1.4.9)\n",
+            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (11.3.0)\n",
+            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (3.2.5)\n",
+            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.6->cartopy) (2.9.0.post0)\n",
+            "Requirement already satisfied: certifi in /usr/local/lib/python3.12/dist-packages (from pyproj>=3.3.1->cartopy) (2025.11.12)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib>=3.6->cartopy) (1.17.0)\n",
+            "Requirement already satisfied: goes2go in /usr/local/lib/python3.12/dist-packages (2025.10.0)\n",
+            "Requirement already satisfied: cartopy>=0.24.1 in /usr/local/lib/python3.12/dist-packages (from goes2go) (0.25.0)\n",
+            "Requirement already satisfied: h5netcdf>=1.6.1 in /usr/local/lib/python3.12/dist-packages (from goes2go) (1.7.3)\n",
+            "Requirement already satisfied: matplotlib>=3.10.1 in /usr/local/lib/python3.12/dist-packages (from goes2go) (3.10.7)\n",
+            "Requirement already satisfied: metpy>=1.7.0 in /usr/local/lib/python3.12/dist-packages (from goes2go) (1.7.1)\n",
+            "Requirement already satisfied: numpy>=2.2.5 in /usr/local/lib/python3.12/dist-packages (from goes2go) (2.3.5)\n",
+            "Requirement already satisfied: pandas>=2.2.3 in /usr/local/lib/python3.12/dist-packages (from goes2go) (2.3.3)\n",
+            "Requirement already satisfied: s3fs>=2025.3.2 in /usr/local/lib/python3.12/dist-packages (from goes2go) (2025.12.0)\n",
+            "Requirement already satisfied: toml>=0.10.2 in /usr/local/lib/python3.12/dist-packages (from goes2go) (0.10.2)\n",
+            "Requirement already satisfied: xarray>=2025.4.0 in /usr/local/lib/python3.12/dist-packages (from goes2go) (2025.11.0)\n",
+            "Requirement already satisfied: shapely>=2.0 in /usr/local/lib/python3.12/dist-packages (from cartopy>=0.24.1->goes2go) (2.1.2)\n",
+            "Requirement already satisfied: packaging>=21 in /usr/local/lib/python3.12/dist-packages (from cartopy>=0.24.1->goes2go) (25.0)\n",
+            "Requirement already satisfied: pyshp>=2.3 in /usr/local/lib/python3.12/dist-packages (from cartopy>=0.24.1->goes2go) (3.0.3)\n",
+            "Requirement already satisfied: pyproj>=3.3.1 in /usr/local/lib/python3.12/dist-packages (from cartopy>=0.24.1->goes2go) (3.7.2)\n",
+            "Requirement already satisfied: h5py in /usr/local/lib/python3.12/dist-packages (from h5netcdf>=1.6.1->goes2go) (3.15.1)\n",
+            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (1.3.3)\n",
+            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (0.12.1)\n",
+            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (4.61.0)\n",
+            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (1.4.9)\n",
+            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (11.3.0)\n",
+            "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (3.2.5)\n",
+            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10.1->goes2go) (2.9.0.post0)\n",
+            "Requirement already satisfied: pint>=0.17 in /usr/local/lib/python3.12/dist-packages (from metpy>=1.7.0->goes2go) (0.25.2)\n",
+            "Requirement already satisfied: pooch>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from metpy>=1.7.0->goes2go) (1.8.2)\n",
+            "Requirement already satisfied: scipy>=1.8.0 in /usr/local/lib/python3.12/dist-packages (from metpy>=1.7.0->goes2go) (1.16.3)\n",
+            "Requirement already satisfied: traitlets>=5.1.0 in /usr/local/lib/python3.12/dist-packages (from metpy>=1.7.0->goes2go) (5.7.1)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=2.2.3->goes2go) (2025.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas>=2.2.3->goes2go) (2025.2)\n",
+            "Requirement already satisfied: aiobotocore<3.0.0,>=2.5.4 in /usr/local/lib/python3.12/dist-packages (from s3fs>=2025.3.2->goes2go) (2.26.0)\n",
+            "Requirement already satisfied: fsspec==2025.12.0 in /usr/local/lib/python3.12/dist-packages (from s3fs>=2025.3.2->goes2go) (2025.12.0)\n",
+            "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from s3fs>=2025.3.2->goes2go) (3.13.2)\n",
+            "Requirement already satisfied: aioitertools<1.0.0,>=0.5.1 in /usr/local/lib/python3.12/dist-packages (from aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (0.13.0)\n",
+            "Requirement already satisfied: botocore<1.41.6,>=1.41.0 in /usr/local/lib/python3.12/dist-packages (from aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (1.41.5)\n",
+            "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/local/lib/python3.12/dist-packages (from aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (1.0.1)\n",
+            "Requirement already satisfied: multidict<7.0.0,>=6.0.0 in /usr/local/lib/python3.12/dist-packages (from aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (6.7.0)\n",
+            "Requirement already satisfied: wrapt<2.0.0,>=1.10.10 in /usr/local/lib/python3.12/dist-packages (from aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (1.17.3)\n",
+            "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (2.6.1)\n",
+            "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (1.4.0)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (25.4.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (1.8.0)\n",
+            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (0.4.1)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->s3fs>=2025.3.2->goes2go) (1.22.0)\n",
+            "Requirement already satisfied: flexcache>=0.3 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy>=1.7.0->goes2go) (0.3)\n",
+            "Requirement already satisfied: flexparser>=0.4 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy>=1.7.0->goes2go) (0.4)\n",
+            "Requirement already satisfied: platformdirs>=2.1.0 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy>=1.7.0->goes2go) (4.5.1)\n",
+            "Requirement already satisfied: typing-extensions>=4.0.0 in /usr/local/lib/python3.12/dist-packages (from pint>=0.17->metpy>=1.7.0->goes2go) (4.15.0)\n",
+            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.12/dist-packages (from pooch>=1.2.0->metpy>=1.7.0->goes2go) (2.32.4)\n",
+            "Requirement already satisfied: certifi in /usr/local/lib/python3.12/dist-packages (from pyproj>=3.3.1->cartopy>=0.24.1->goes2go) (2025.11.12)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.7->matplotlib>=3.10.1->goes2go) (1.17.0)\n",
+            "Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/local/lib/python3.12/dist-packages (from botocore<1.41.6,>=1.41.0->aiobotocore<3.0.0,>=2.5.4->s3fs>=2025.3.2->goes2go) (2.5.0)\n",
+            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy>=1.7.0->goes2go) (3.4.4)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy>=1.7.0->goes2go) (3.11)\n",
+            "fatal: destination path 'get-station-data' already exists and is not an empty directory.\n",
+            "get-station-data  sample_data\n",
+            "/content/get-station-data\n",
+            "Using pip 24.1.2 from /usr/local/lib/python3.12/dist-packages/pip (python 3.12)\n",
+            "Obtaining file:///content/get-station-data\n",
+            "  Running command python setup.py egg_info\n",
+            "  running egg_info\n",
+            "  creating /tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info\n",
+            "  writing /tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/PKG-INFO\n",
+            "  writing dependency_links to /tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/dependency_links.txt\n",
+            "  writing requirements to /tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/requires.txt\n",
+            "  writing top-level names to /tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/top_level.txt\n",
+            "  writing manifest file '/tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/SOURCES.txt'\n",
+            "  reading manifest file '/tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/SOURCES.txt'\n",
+            "  adding license file 'LICENSE'\n",
+            "  writing manifest file '/tmp/pip-pip-egg-info-9_w6br06/get_station_data.egg-info/SOURCES.txt'\n",
+            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from get-station-data==0.1) (2.3.5)\n",
+            "Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (from get-station-data==0.1) (2.3.3)\n",
+            "Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from get-station-data==0.1) (1.16.3)\n",
+            "Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from get-station-data==0.1) (4.67.1)\n",
+            "Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (from get-station-data==0.1) (1.5.2)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->get-station-data==0.1) (2.9.0.post0)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->get-station-data==0.1) (2025.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->get-station-data==0.1) (2025.2)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->get-station-data==0.1) (1.17.0)\n",
+            "Installing collected packages: get-station-data\n",
+            "  Running setup.py develop for get-station-data\n",
+            "    Running command python setup.py develop\n",
+            "    running develop\n",
+            "    /usr/local/lib/python3.12/dist-packages/setuptools/command/develop.py:41: EasyInstallDeprecationWarning: easy_install command is deprecated.\n",
+            "    !!\n",
+            "\n",
+            "            ********************************************************************************\n",
+            "            Please avoid running ``setup.py`` and ``easy_install``.\n",
+            "            Instead, use pypa/build, pypa/installer or other\n",
+            "            standards-based tools.\n",
+            "\n",
+            "            See https://github.com/pypa/setuptools/issues/917 for details.\n",
+            "            ********************************************************************************\n",
+            "\n",
+            "    !!\n",
+            "      easy_install.initialize_options(self)\n",
+            "    /usr/local/lib/python3.12/dist-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n",
+            "    !!\n",
+            "\n",
+            "            ********************************************************************************\n",
+            "            Please avoid running ``setup.py`` directly.\n",
+            "            Instead, use pypa/build, pypa/installer or other\n",
+            "            standards-based tools.\n",
+            "\n",
+            "            See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n",
+            "            ********************************************************************************\n",
+            "\n",
+            "    !!\n",
+            "      self.initialize_options()\n",
+            "    running egg_info\n",
+            "    creating get_station_data.egg-info\n",
+            "    writing get_station_data.egg-info/PKG-INFO\n",
+            "    writing dependency_links to get_station_data.egg-info/dependency_links.txt\n",
+            "    writing requirements to get_station_data.egg-info/requires.txt\n",
+            "    writing top-level names to get_station_data.egg-info/top_level.txt\n",
+            "    writing manifest file 'get_station_data.egg-info/SOURCES.txt'\n",
+            "    reading manifest file 'get_station_data.egg-info/SOURCES.txt'\n",
+            "    adding license file 'LICENSE'\n",
+            "    writing manifest file 'get_station_data.egg-info/SOURCES.txt'\n",
+            "    running build_ext\n",
+            "    Creating /usr/local/lib/python3.12/dist-packages/get-station-data.egg-link (link to .)\n",
+            "    Adding get-station-data 0.1 to easy-install.pth file\n",
+            "\n",
+            "    Installed /content/get-station-data\n",
+            "Successfully installed get-station-data-0.1\n",
+            "/content\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# access data from Google Drive directory\n",
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')\n",
+        "dir = '/content/drive/My Drive/'\n",
+        "\n",
+        "# import Python libs\n",
+        "import cartopy.crs as ccrs         # map projections\n",
+        "import cartopy.feature as cfeature # map features\n",
+        "import pandas as pd\n",
+        "import geopandas as gpd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "from datetime import datetime, timedelta\n",
+        "import xarray as xr\n",
+        "import glob, os\n",
+        "from metpy.interpolate import interpolate_to_grid\n",
+        "from matplotlib.colors import BoundaryNorm\n",
+        "from scipy.stats import spearmanr\n",
+        "import matplotlib\n",
+        "# add Latex to matplotlib figures\n",
+        "plt.rcParams['text.usetex'] = False\n",
+        "# update standard matplotlib fig font size\n",
+        "matplotlib.rcParams.update({'font.size': 14})\n",
+        "\n",
+        "# Celsius to Fahr conversion\n",
+        "def CtoF(celsius):\n",
+        "    return (celsius * 9/5) + 32"
+      ],
+      "metadata": {
+        "id": "jERBi1JCwZKn",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "8f39f7b3-9939-4787-90a0-37a13ae76ec9"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Data Uploading and Processing"
+      ],
+      "metadata": {
+        "id": "GiBu-mrNFvcp"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Zillow housing price and neighborhood/city polygon datasets"
+      ],
+      "metadata": {
+        "id": "Qy2jv9O-ZEDa"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# import Zillow housing prices data by neighborhood/city\n",
+        "# Source: https://www.zillow.com/research/data/\n",
+        "zillow = pd.read_csv(dir + \\\n",
+        "  'Neighborhood_zhvi_uc_sfrcondo_tier_0.33_0.67_sm_sa_month.csv')\n",
+        "# preview San Diego data\n",
+        "zillow[zillow['City'] == 'San Diego'].head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 689
+        },
+        "id": "3IQvzi5WrHSD",
+        "outputId": "c128e184-e279-4842-cdfa-263a6e7949a3"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     RegionID  SizeRank          RegionName    RegionType StateName State  \\\n",
+              "90     116625        90           Mira Mesa  neighborhood        CA    CA   \n",
+              "182    117557       187  Rancho Penasquitos  neighborhood        CA    CA   \n",
+              "198    273140       204       Carmel Valley  neighborhood        CA    CA   \n",
+              "201    118673       207     University City  neighborhood        CA    CA   \n",
+              "244    275127       253     Rancho Bernardo  neighborhood        CA    CA   \n",
+              "\n",
+              "          City                               Metro        CountyName  \\\n",
+              "90   San Diego  San Diego-Chula Vista-Carlsbad, CA  San Diego County   \n",
+              "182  San Diego  San Diego-Chula Vista-Carlsbad, CA  San Diego County   \n",
+              "198  San Diego  San Diego-Chula Vista-Carlsbad, CA  San Diego County   \n",
+              "201  San Diego  San Diego-Chula Vista-Carlsbad, CA  San Diego County   \n",
+              "244  San Diego  San Diego-Chula Vista-Carlsbad, CA  San Diego County   \n",
+              "\n",
+              "        2000-01-31  ...    2025-01-31    2025-02-28    2025-03-31  \\\n",
+              "90   191416.089151  ...  1.039073e+06  1.037145e+06  1.033259e+06   \n",
+              "182  271126.145538  ...  1.421131e+06  1.421003e+06  1.418756e+06   \n",
+              "198  366382.134223  ...  1.912922e+06  1.922616e+06  1.929222e+06   \n",
+              "201  239295.197946  ...  1.031472e+06  1.032541e+06  1.031954e+06   \n",
+              "244  227026.346283  ...  1.026712e+06  1.028332e+06  1.026332e+06   \n",
+              "\n",
+              "       2025-04-30    2025-05-31    2025-06-30    2025-07-31    2025-08-31  \\\n",
+              "90   1.026706e+06  1.017029e+06  1.006201e+06  9.979971e+05  9.923184e+05   \n",
+              "182  1.411852e+06  1.398213e+06  1.379820e+06  1.362104e+06  1.346695e+06   \n",
+              "198  1.932028e+06  1.923279e+06  1.906092e+06  1.887525e+06  1.875190e+06   \n",
+              "201  1.029312e+06  1.021563e+06  1.012229e+06  1.003587e+06  9.975299e+05   \n",
+              "244  1.020554e+06  1.012038e+06  1.002171e+06  9.923332e+05  9.838859e+05   \n",
+              "\n",
+              "       2025-09-30    2025-10-31  \n",
+              "90   9.892974e+05  9.886401e+05  \n",
+              "182  1.337279e+06  1.334219e+06  \n",
+              "198  1.871520e+06  1.874691e+06  \n",
+              "201  9.932426e+05  9.904795e+05  \n",
+              "244  9.781136e+05  9.749681e+05  \n",
+              "\n",
+              "[5 rows x 319 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-53541b58-f08d-46e3-b567-1c21d030c916\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>RegionID</th>\n",
+              "      <th>SizeRank</th>\n",
+              "      <th>RegionName</th>\n",
+              "      <th>RegionType</th>\n",
+              "      <th>StateName</th>\n",
+              "      <th>State</th>\n",
+              "      <th>City</th>\n",
+              "      <th>Metro</th>\n",
+              "      <th>CountyName</th>\n",
+              "      <th>2000-01-31</th>\n",
+              "      <th>...</th>\n",
+              "      <th>2025-01-31</th>\n",
+              "      <th>2025-02-28</th>\n",
+              "      <th>2025-03-31</th>\n",
+              "      <th>2025-04-30</th>\n",
+              "      <th>2025-05-31</th>\n",
+              "      <th>2025-06-30</th>\n",
+              "      <th>2025-07-31</th>\n",
+              "      <th>2025-08-31</th>\n",
+              "      <th>2025-09-30</th>\n",
+              "      <th>2025-10-31</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>90</th>\n",
+              "      <td>116625</td>\n",
+              "      <td>90</td>\n",
+              "      <td>Mira Mesa</td>\n",
+              "      <td>neighborhood</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>San Diego</td>\n",
+              "      <td>San Diego-Chula Vista-Carlsbad, CA</td>\n",
+              "      <td>San Diego County</td>\n",
+              "      <td>191416.089151</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.039073e+06</td>\n",
+              "      <td>1.037145e+06</td>\n",
+              "      <td>1.033259e+06</td>\n",
+              "      <td>1.026706e+06</td>\n",
+              "      <td>1.017029e+06</td>\n",
+              "      <td>1.006201e+06</td>\n",
+              "      <td>9.979971e+05</td>\n",
+              "      <td>9.923184e+05</td>\n",
+              "      <td>9.892974e+05</td>\n",
+              "      <td>9.886401e+05</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>182</th>\n",
+              "      <td>117557</td>\n",
+              "      <td>187</td>\n",
+              "      <td>Rancho Penasquitos</td>\n",
+              "      <td>neighborhood</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>San Diego</td>\n",
+              "      <td>San Diego-Chula Vista-Carlsbad, CA</td>\n",
+              "      <td>San Diego County</td>\n",
+              "      <td>271126.145538</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.421131e+06</td>\n",
+              "      <td>1.421003e+06</td>\n",
+              "      <td>1.418756e+06</td>\n",
+              "      <td>1.411852e+06</td>\n",
+              "      <td>1.398213e+06</td>\n",
+              "      <td>1.379820e+06</td>\n",
+              "      <td>1.362104e+06</td>\n",
+              "      <td>1.346695e+06</td>\n",
+              "      <td>1.337279e+06</td>\n",
+              "      <td>1.334219e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>198</th>\n",
+              "      <td>273140</td>\n",
+              "      <td>204</td>\n",
+              "      <td>Carmel Valley</td>\n",
+              "      <td>neighborhood</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>San Diego</td>\n",
+              "      <td>San Diego-Chula Vista-Carlsbad, CA</td>\n",
+              "      <td>San Diego County</td>\n",
+              "      <td>366382.134223</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.912922e+06</td>\n",
+              "      <td>1.922616e+06</td>\n",
+              "      <td>1.929222e+06</td>\n",
+              "      <td>1.932028e+06</td>\n",
+              "      <td>1.923279e+06</td>\n",
+              "      <td>1.906092e+06</td>\n",
+              "      <td>1.887525e+06</td>\n",
+              "      <td>1.875190e+06</td>\n",
+              "      <td>1.871520e+06</td>\n",
+              "      <td>1.874691e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>201</th>\n",
+              "      <td>118673</td>\n",
+              "      <td>207</td>\n",
+              "      <td>University City</td>\n",
+              "      <td>neighborhood</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>San Diego</td>\n",
+              "      <td>San Diego-Chula Vista-Carlsbad, CA</td>\n",
+              "      <td>San Diego County</td>\n",
+              "      <td>239295.197946</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.031472e+06</td>\n",
+              "      <td>1.032541e+06</td>\n",
+              "      <td>1.031954e+06</td>\n",
+              "      <td>1.029312e+06</td>\n",
+              "      <td>1.021563e+06</td>\n",
+              "      <td>1.012229e+06</td>\n",
+              "      <td>1.003587e+06</td>\n",
+              "      <td>9.975299e+05</td>\n",
+              "      <td>9.932426e+05</td>\n",
+              "      <td>9.904795e+05</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>244</th>\n",
+              "      <td>275127</td>\n",
+              "      <td>253</td>\n",
+              "      <td>Rancho Bernardo</td>\n",
+              "      <td>neighborhood</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>San Diego</td>\n",
+              "      <td>San Diego-Chula Vista-Carlsbad, CA</td>\n",
+              "      <td>San Diego County</td>\n",
+              "      <td>227026.346283</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.026712e+06</td>\n",
+              "      <td>1.028332e+06</td>\n",
+              "      <td>1.026332e+06</td>\n",
+              "      <td>1.020554e+06</td>\n",
+              "      <td>1.012038e+06</td>\n",
+              "      <td>1.002171e+06</td>\n",
+              "      <td>9.923332e+05</td>\n",
+              "      <td>9.838859e+05</td>\n",
+              "      <td>9.781136e+05</td>\n",
+              "      <td>9.749681e+05</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 319 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-53541b58-f08d-46e3-b567-1c21d030c916')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-53541b58-f08d-46e3-b567-1c21d030c916 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-53541b58-f08d-46e3-b567-1c21d030c916');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-4276ed66-c337-4926-909e-489f31f7c1e6\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4276ed66-c337-4926-909e-489f31f7c1e6')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-4276ed66-c337-4926-909e-489f31f7c1e6 button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe"
+            }
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# import 2008 Zillow geopandas df w/ neighborhood polygons\n",
+        "# Source: https://github.com/stepps00/zillow-neighborhoods\n",
+        "neigh_df = gpd.read_file(dir + 'ZillowNeighborhoods-CA.shp')\n",
+        "\n",
+        "# import California city boundary polygons (for SoCal counties) as geopandas df\n",
+        "# Source: https://data.ca.gov/dataset/california-city-boundaries-and-identifiers\n",
+        "ca_city = gpd.read_file(dir + 'California_City_Boundaries_and_Identifiers.shp')\n",
+        "ca_city = ca_city[ca_city['CDTFA_COUN'].isin(['San Bernardino County',\n",
+        "                                    'Los Angeles County', 'Riverside County', 'Orange County', 'San Diego County'])]\n",
+        "ca_city.head()"
+      ],
+      "metadata": {
+        "id": "itw-bA7Pw2uF",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 486
+        },
+        "outputId": "1598993a-6ac7-47cb-c21d-af8b9bdc94e2"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  CDTFA_COPR    CDTFA_CITY             CDTFA_COUN    CENSUS_PLA CENSUS_GEO  \\\n",
+              "0      36014      Adelanto  San Bernardino County      Adelanto    0600296   \n",
+              "1      19205  Agoura Hills     Los Angeles County  Agoura Hills    0600394   \n",
+              "4      19206      Alhambra     Los Angeles County      Alhambra    0600884   \n",
+              "5      30034   Aliso Viejo          Orange County   Aliso Viejo    0600947   \n",
+              "9      30001       Anaheim          Orange County       Anaheim    0602000   \n",
+              "\n",
+              "  CENSUS_P_1            GNIS_PLACE  GNIS_ID CDT_CITY_A CDT_COUNTY PRIMARY_DO  \\\n",
+              "0       City      City of Adelanto  2409663       ADEL        SBD       None   \n",
+              "1       City  City of Agoura Hills  2409666       AGRH        LAC       None   \n",
+              "4       City      City of Alhambra  2409681       ALHB        LAC       None   \n",
+              "5       City   City of Aliso Viejo  2409683       ASVJ        ORA       None   \n",
+              "9       City       City of Anaheim  2409704       ANAH        ORA       None   \n",
+              "\n",
+              "   CENSUS_POP    CDT_NAME_S OFFSHORE  AREA_SQMI  \\\n",
+              "0           0      Adelanto     None  52.882650   \n",
+              "1           0  Agoura Hills     None   7.818240   \n",
+              "4           0      Alhambra     None   7.632097   \n",
+              "5           0   Aliso Viejo     None   6.919420   \n",
+              "9           0       Anaheim     None  50.925300   \n",
+              "\n",
+              "                               GlobalID  \\\n",
+              "0  749cd1c9-3f7a-401e-a4f1-617fd2c52375   \n",
+              "1  a255e6b6-e979-4461-9865-484410b2e2d5   \n",
+              "4  d6d6ba34-88f9-4935-a053-c8a671cbdf00   \n",
+              "5  f6b37bc2-26b0-4ffc-9d1d-18ef199d0dea   \n",
+              "9  9a9de2d8-2c24-45fd-8743-bc0e61785839   \n",
+              "\n",
+              "                                            geometry  \n",
+              "0  MULTIPOLYGON (((241939.832 -371206.919, 241780...  \n",
+              "1  POLYGON ((118062.449 -430252.243, 118062.451 -...  \n",
+              "4  POLYGON ((173339.516 -432761.043, 173388.249 -...  \n",
+              "5  POLYGON ((212022.629 -488236.554, 212015.998 -...  \n",
+              "9  POLYGON ((214298.749 -457860.239, 214303.562 -...  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-d285c9e5-e4b6-43b5-9d5a-cc68551060fc\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>CDTFA_COPR</th>\n",
+              "      <th>CDTFA_CITY</th>\n",
+              "      <th>CDTFA_COUN</th>\n",
+              "      <th>CENSUS_PLA</th>\n",
+              "      <th>CENSUS_GEO</th>\n",
+              "      <th>CENSUS_P_1</th>\n",
+              "      <th>GNIS_PLACE</th>\n",
+              "      <th>GNIS_ID</th>\n",
+              "      <th>CDT_CITY_A</th>\n",
+              "      <th>CDT_COUNTY</th>\n",
+              "      <th>PRIMARY_DO</th>\n",
+              "      <th>CENSUS_POP</th>\n",
+              "      <th>CDT_NAME_S</th>\n",
+              "      <th>OFFSHORE</th>\n",
+              "      <th>AREA_SQMI</th>\n",
+              "      <th>GlobalID</th>\n",
+              "      <th>geometry</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>36014</td>\n",
+              "      <td>Adelanto</td>\n",
+              "      <td>San Bernardino County</td>\n",
+              "      <td>Adelanto</td>\n",
+              "      <td>0600296</td>\n",
+              "      <td>City</td>\n",
+              "      <td>City of Adelanto</td>\n",
+              "      <td>2409663</td>\n",
+              "      <td>ADEL</td>\n",
+              "      <td>SBD</td>\n",
+              "      <td>None</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Adelanto</td>\n",
+              "      <td>None</td>\n",
+              "      <td>52.882650</td>\n",
+              "      <td>749cd1c9-3f7a-401e-a4f1-617fd2c52375</td>\n",
+              "      <td>MULTIPOLYGON (((241939.832 -371206.919, 241780...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>19205</td>\n",
+              "      <td>Agoura Hills</td>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Agoura Hills</td>\n",
+              "      <td>0600394</td>\n",
+              "      <td>City</td>\n",
+              "      <td>City of Agoura Hills</td>\n",
+              "      <td>2409666</td>\n",
+              "      <td>AGRH</td>\n",
+              "      <td>LAC</td>\n",
+              "      <td>None</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Agoura Hills</td>\n",
+              "      <td>None</td>\n",
+              "      <td>7.818240</td>\n",
+              "      <td>a255e6b6-e979-4461-9865-484410b2e2d5</td>\n",
+              "      <td>POLYGON ((118062.449 -430252.243, 118062.451 -...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>19206</td>\n",
+              "      <td>Alhambra</td>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Alhambra</td>\n",
+              "      <td>0600884</td>\n",
+              "      <td>City</td>\n",
+              "      <td>City of Alhambra</td>\n",
+              "      <td>2409681</td>\n",
+              "      <td>ALHB</td>\n",
+              "      <td>LAC</td>\n",
+              "      <td>None</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Alhambra</td>\n",
+              "      <td>None</td>\n",
+              "      <td>7.632097</td>\n",
+              "      <td>d6d6ba34-88f9-4935-a053-c8a671cbdf00</td>\n",
+              "      <td>POLYGON ((173339.516 -432761.043, 173388.249 -...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>30034</td>\n",
+              "      <td>Aliso Viejo</td>\n",
+              "      <td>Orange County</td>\n",
+              "      <td>Aliso Viejo</td>\n",
+              "      <td>0600947</td>\n",
+              "      <td>City</td>\n",
+              "      <td>City of Aliso Viejo</td>\n",
+              "      <td>2409683</td>\n",
+              "      <td>ASVJ</td>\n",
+              "      <td>ORA</td>\n",
+              "      <td>None</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Aliso Viejo</td>\n",
+              "      <td>None</td>\n",
+              "      <td>6.919420</td>\n",
+              "      <td>f6b37bc2-26b0-4ffc-9d1d-18ef199d0dea</td>\n",
+              "      <td>POLYGON ((212022.629 -488236.554, 212015.998 -...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>30001</td>\n",
+              "      <td>Anaheim</td>\n",
+              "      <td>Orange County</td>\n",
+              "      <td>Anaheim</td>\n",
+              "      <td>0602000</td>\n",
+              "      <td>City</td>\n",
+              "      <td>City of Anaheim</td>\n",
+              "      <td>2409704</td>\n",
+              "      <td>ANAH</td>\n",
+              "      <td>ORA</td>\n",
+              "      <td>None</td>\n",
+              "      <td>0</td>\n",
+              "      <td>Anaheim</td>\n",
+              "      <td>None</td>\n",
+              "      <td>50.925300</td>\n",
+              "      <td>9a9de2d8-2c24-45fd-8743-bc0e61785839</td>\n",
+              "      <td>POLYGON ((214298.749 -457860.239, 214303.562 -...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d285c9e5-e4b6-43b5-9d5a-cc68551060fc')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-d285c9e5-e4b6-43b5-9d5a-cc68551060fc button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-d285c9e5-e4b6-43b5-9d5a-cc68551060fc');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-2ac9c01b-af41-4c28-8416-2a078e122e9a\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2ac9c01b-af41-4c28-8416-2a078e122e9a')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-2ac9c01b-af41-4c28-8416-2a078e122e9a button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "ca_city",
+              "repr_error": "Out of range float values are not JSON compliant: nan"
+            }
+          },
+          "metadata": {},
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Joining Zillow neighborhood and CA city geopandas dataframes"
+      ],
+      "metadata": {
+        "id": "qyoHUXWekhu7"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# projections used for GIS analysis\n",
+        "to_proj = ccrs.AlbersEqualArea(central_longitude=-117.5, central_latitude=33.5)\n",
+        "\n",
+        "# append LA & SD neighborhoods with southern CA city polygons\n",
+        "socal_cities = ca_city[~ca_city['CDTFA_CITY'].isin(\n",
+        "    ['Los Angeles','San Diego'])]\n",
+        "socal_cities = socal_cities[['CDTFA_COUN', 'CDTFA_CITY',\n",
+        "                             'GNIS_PLACE', 'geometry']]\n",
+        "socal_cities.columns = ['COUNTY', 'CITY', 'NAME', 'geometry']\n",
+        "la_sd_neigh = neigh_df[neigh_df['CITY'].isin(['Los Angeles','San Diego'])]\n",
+        "la_sd_neigh = la_sd_neigh[['COUNTY', 'CITY', 'NAME', 'geometry']]\n",
+        "# maintain same CRS for both geopandas dfs\n",
+        "la_sd_neigh = la_sd_neigh.to_crs(socal_cities.crs)\n",
+        "\n",
+        "# create final geopandas df for all neighborhood/city boundaries to crop\n",
+        "# weather datasets and Zillow housing prices\n",
+        "polys_neigh = pd.concat([la_sd_neigh, socal_cities])\n",
+        "# reproject neigh/city polygons to AlbersEqual CRS for overlay analysis w/\n",
+        "# temperature extrema GCHN data\n",
+        "polys_neigh = polys_neigh.to_crs(to_proj)\n",
+        "polys_neigh = polys_neigh.reset_index()\n",
+        "# preview geopandas df\n",
+        "polys_neigh.head()"
+      ],
+      "metadata": {
+        "id": "uFtOPmTTGhxU",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "outputId": "3b942e43-46fc-4ff4-b313-a704e151642c"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   index       COUNTY         CITY             NAME  \\\n",
+              "0    295  Los Angeles  Los Angeles           Arleta   \n",
+              "1    296  Los Angeles  Los Angeles  Atwater Village   \n",
+              "2    297  Los Angeles  Los Angeles          Bel Air   \n",
+              "3    298  Los Angeles  Los Angeles     Beverly Glen   \n",
+              "4    299  Los Angeles  Los Angeles    Boyle Heights   \n",
+              "\n",
+              "                                            geometry  \n",
+              "0  POLYGON ((-80420.84 86166.712, -81576.054 8509...  \n",
+              "1  POLYGON ((-69443.937 75178.013, -69262.271 752...  \n",
+              "2  POLYGON ((-87262.496 71797.305, -87144.305 717...  \n",
+              "3  MULTIPOLYGON (((-84360.169 72183.073, -84311.7...  \n",
+              "4  POLYGON ((-64647.186 63609.528, -64494.645 637...  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-86adf004-329f-4730-b099-b86bf6be9a23\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>index</th>\n",
+              "      <th>COUNTY</th>\n",
+              "      <th>CITY</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>geometry</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>295</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Arleta</td>\n",
+              "      <td>POLYGON ((-80420.84 86166.712, -81576.054 8509...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>296</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Atwater Village</td>\n",
+              "      <td>POLYGON ((-69443.937 75178.013, -69262.271 752...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>297</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Bel Air</td>\n",
+              "      <td>POLYGON ((-87262.496 71797.305, -87144.305 717...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>298</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Beverly Glen</td>\n",
+              "      <td>MULTIPOLYGON (((-84360.169 72183.073, -84311.7...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>299</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Boyle Heights</td>\n",
+              "      <td>POLYGON ((-64647.186 63609.528, -64494.645 637...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-86adf004-329f-4730-b099-b86bf6be9a23')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-86adf004-329f-4730-b099-b86bf6be9a23 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-86adf004-329f-4730-b099-b86bf6be9a23');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-e8d92232-ee2f-401b-b2e8-84ca4a05b5dc\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e8d92232-ee2f-401b-b2e8-84ca4a05b5dc')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-e8d92232-ee2f-401b-b2e8-84ca4a05b5dc button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "polys_neigh",
+              "summary": "{\n  \"name\": \"polys_neigh\",\n  \"rows\": 360,\n  \"fields\": [\n    {\n      \"column\": \"index\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 234,\n        \"min\": 0,\n        \"max\": 788,\n        \"num_unique_values\": 329,\n        \"samples\": [\n          304,\n          783,\n          758\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"COUNTY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Los Angeles\",\n          \"San Diego\",\n          \"Riverside County\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 192,\n        \"samples\": [\n          \"Cudahy\",\n          \"Placentia\",\n          \"Huntington Park\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 358,\n        \"samples\": [\n          \"City of El Segundo\",\n          \"New Downtown\",\n          \"City of Laguna Hills\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"geometry\",\n        \"num_unique_values\": 360,\n        \"samples\": [\n          \"POLYGON ((-44519.65756410544 67464.61484692025, -44520.735128063854 67461.94740798339, -44523.85622910958 67454.23129315062, -44529.60083714047 67439.78893986002, -44539.164379225025 67415.01366098998, -44540.827146513075 67410.63280025977, -44545.391710851756 67398.48967145072, -44551.28162943102 67382.55771461922, -44557.07198129971 67366.59178439941, -44557.76512942985 67364.63427039629, -44558.61210603115 67362.25401283878, -44558.628523755164 67362.20780451408, -44559.306485215675 67360.36057128747, -44560.886393585686 67356.03340783028, -44563.14459379236 67349.78649795138, -44567.00737793724 67338.99936201064, -44568.85969584953 67333.77712102175, -44569.1562750921 67332.93370970666, -44571.665622350934 67325.79889846127, -44574.47487505266 67317.73251952326, -44579.06782910785 67304.37063406396, -44579.99283789187 67301.65276766782, -44582.08476937237 67295.46875227934, -44584.49575242919 67288.28251671241, -44585.41983397047 67285.53151905852, -44588.07268104414 67277.49271647452, -44590.73777260677 67269.36889867486, -44591.671214954076 67266.48883836716, -44593.37891600066 67261.33008518304, -44595.96172816797 67253.17732046908, -44596.38365917384 67251.84582865894, -44598.52037330687 67245.10665732209, -44601.094363676086 67236.95075358612, -44602.97446795999 67230.86904194023, -44606.11520256551 67220.69194743152, -44606.342665962715 67219.94916564751, -44611.03013604382 67204.40127040661, -44615.865630317436 67188.05658425321, -44616.632854338066 67185.41850146902, -44620.595339469895 67171.69875595564, -44625.227735681 67155.30577484965, -44629.21442745394 67140.8329165854, -44631.17682033131 67133.59455262196, -44632.57526765612 67128.39338827322, -44633.700636139416 67124.2090500931, -44635.82234817571 67116.3283533554, -44637.88858340562 67108.3435084553, -44639.531607798075 67101.93913755417, -44640.23142335735 67099.22192557144, -44642.58053470924 67090.0025421783, -44645.071653016654 67080.07776121875, -44645.702857105665 67077.5430259464, -44647.57797578257 67070.04590662681, -44649.86981869906 67060.5078626441, -44650.17360292905 67059.24513690868, -44650.79314450934 67056.65359531442, -44652.87175407269 67047.94055623212, -44654.02081244966 67043.12258212942, -44654.800469121634 67039.7499962098, -44656.254222249874 67033.47079050208, -44657.78051426429 67026.81378844219, -44658.488093681175 67023.72145296272, -44659.83429660967 67017.75690713956, -44661.166048686595 67011.7230640007, -44661.5671790538 67009.85230954378, -44670.40154010938 66968.58092699727, -44670.73960633635 66966.94639113644, -44670.89360882244 66966.16217906508, -44678.73078493201 66926.39273947546, -44679.58599478621 66921.99594669984, -44679.75261568456 66921.06031146314, -44686.99020833233 66880.90034135507, -44687.65507601273 66876.88101285238, -44691.75737474091 66851.92942829702, -44692.4860267866 66847.49099139735, -44695.094380342525 66831.63998001964, -44697.20039389368 66817.22409295347, -44701.68241076969 66786.25301887286, -44706.051205636344 66751.8860231544, -44706.53838541924 66748.03614613488, -44709.71790838527 66722.52212568454, -44709.96311193102 66720.55709060165, -44710.38319291527 66717.19430429323, -44710.950928598155 66711.90395025794, -44712.65758203029 66696.02646452945, -44713.51858497098 66688.00754702414, -44714.29384552106 66680.05735349184, -44716.02734339275 66662.24443595833, -44716.28318163135 66659.61416398076, -44716.563823655335 66656.73017507118, -44716.74067364165 66654.90562105055, -44716.83924527615 66654.02326204568, -44717.150523360935 66651.20332384875, -44717.53256867024 66647.77845603303, -44717.89948949274 66644.42590280584, -44720.49225504799 66608.76969255423, -44721.5647526902 66594.01541978166, -44721.645615300826 66592.54670780501, -44721.71074092871 66590.63974159265, -44722.52281029537 66578.74590650074, -44724.38907783867 66558.44976388678, -44725.7081491611 66539.16252258288, -44729.03236207347 66490.46862756426, -44730.29791525989 66471.93462365516, -44731.25252287615 66457.96710099412, -44732.69576799841 66436.83006231241, -44733.51252580275 66417.89010985763, -44735.00817080179 66403.5660072368, -44738.498166633 66376.60340938874, -44748.50021365658 66299.31378946686, -44749.78170654796 66289.40373944728, -44750.180944449094 66286.31453545262, -44752.13761666336 66272.54020267415, -44754.203511603955 66258.95404768892, -44757.096781008826 66240.82838846782, -44758.942387096664 66229.7089870328, -44760.813953360484 66218.7061667324, -44768.37179334529 66176.95900008739, -44776.546056188854 66135.70027056702, -44785.39165954926 66094.59618385152, -44787.610922248445 66084.81517837074, -44789.833726814824 66074.93329714856, -44791.80991191341 66066.04641666806, -44793.78959856788 66057.06817730263, -44794.612413328396 66053.28915073532, -44795.2484410879 66050.37289343073, -44795.60393570394 66048.74152113662, -44796.716257644584 66043.61154039283, -44798.724213292 66034.27394664435, -44799.357567935716 66031.30112924942, -44801.20313018697 66022.6247175665, -44806.13524978404 65999.72333985702, -44809.21877285707 65988.57505583431, -44813.82310222683 65971.91423152745, -44818.51750038572 65954.92585140362, -44823.28667972148 65937.67312163026, -44828.017037275284 65920.55568135086, -44832.76600184683 65903.3816425163, -44837.621688228835 65885.80456774095, -44842.361455579194 65868.66627736595, -44846.446484592736 65853.87110620837, -44847.10339090956 65851.49090487241, -44851.89122698357 65834.19522891495, -44856.65450578928 65816.95815902566, -44861.444874046785 65799.64599753851, -44866.13916193292 65782.65408691815, -44871.0283849857 65764.96381242377, -44875.68960435947 65748.10134761847, -44880.39894595749 65731.07539581339, -44885.1888507123 65713.72690365132, -44893.939249704636 65682.08519849608, -44902.60473872278 65650.74604677373, -44904.5690192913 65643.6390912849, -44905.83173874174 65639.08036839338, -44908.10535831502 65630.86643111476, -44909.42812263396 65626.08413057993, -44951.7010559169 65473.16430397035, -44960.34745046469 65440.35377869761, -44972.215715577775 65396.40514828424, -44983.474881122565 65355.33182024743, -44992.70410667469 65321.42386206942, -45000.77528348784 65291.76299118727, -45005.4300876455 65274.61002699455, -45009.94512314809 65257.94930198672, -45018.444762489926 65226.808954739165, -45024.97098948914 65202.77728597686, -45065.89742017044 65052.2600394162, -45067.67370303133 65045.7302706604, -45068.37581063693 65043.15183867382, -45072.693352130416 65027.29347164059, -45082.9759784281 64989.48788342964, -45092.41526276103 64954.82441159846, -45115.50955300464 64874.19734231555, -45115.975807749666 64872.57334370697, -45116.05343762268 64872.303278594176, -45116.1436696351 64871.98876241741, -45118.09342146468 64865.18554982407, -45117.471094339555 64865.26429980977, -45116.18695560619 64865.44627156587, -45086.931168616014 64869.7432417264, -45084.87039234016 64870.04473787351, -45085.87432869388 64866.353941969326, -45086.21989000413 64865.08355902743, -45087.44521078572 64860.57842472879, -45088.8214003706 64855.51896990648, -45095.018651809274 64832.73576565244, -45095.70445882992 64830.21451043554, -45096.76730301939 64826.307036399645, -45099.00602085919 64818.07639617865, -45103.973220691805 64799.88851156261, -45101.34311684868 64809.56581000999, -45107.903498858475 64808.35199892306, -45133.66348242276 64803.59321705515, -45142.05544119271 64802.04482956749, -45153.83355438281 64799.869778684064, -45195.36267313279 64792.20488307286, -45195.61743893597 64791.92560060246, -45198.88246896956 64788.36637215188, -45216.71601051189 64769.32321552622, -45238.26741612732 64746.30067846786, -45242.28138861079 64742.01677281371, -45271.753536611395 64738.10181229089, -45289.63325131574 64735.72930383483, -45314.16413438301 64719.41376470351, -45337.837816530686 64703.626876060865, -45386.92947562388 64670.93614276182, -45436.695780772134 64545.71966561307, -45444.27416319464 64526.55443048059, -45457.383045220275 64493.62370531575, -45488.83771070155 64414.4115275711, -45557.67806103186 64444.96693670973, -45574.98311755974 64452.81316710451, -45537.71731103316 64543.00126984258, -45529.42093716205 64567.44347604603, -45493.44660248725 64655.5554731338, -45541.74661934539 64677.42420338135, -45543.10519726306 64678.03921451778, -45552.98178920398 64759.42460891723, -45640.8013512642 64747.36767978146, -45652.47211769391 64718.08356174847, -45656.99680154239 64706.159854709775, -45661.131663224194 64694.075563437655, -45671.41485383047 64667.17223141316, -45668.870670860226 64666.14972589377, -45660.027062816764 64662.368198581324, -45617.33584177827 64667.79562815762, -45628.036602112305 64641.04164556536, -45638.342138754524 64614.3666347519, -45645.21604898403 64596.635531342894, -45672.91219798935 64609.30760922601, -45672.95179194356 64609.286554063, -45692.35610660632 64618.31666366728, -45726.49166314442 64534.7568196679, -45743.04654934011 64494.32778232333, -45755.39713203047 64464.02572172248, -45752.0962256733 64461.02438844595, -45740.4934075537 64450.70390859752, -45738.57427950107 64448.99543797149, -45737.08083882303 64447.629476777816, -45728.025252064814 64439.55018619004, -45719.990811709555 64432.38350997294, -45711.633755706855 64424.9191485714, -45702.93319987791 64417.14101149491, -45695.27146747108 64410.30401005239, -45684.578572535545 64400.75404312896, -45678.88277631606 64395.67303855332, -45665.205533276385 64383.47314789909, -45618.11412937194 64341.4343473453, -45612.59465703179 64336.483552893405, -45602.95820712883 64327.846532779615, -45546.476588476085 64277.471512014556, -45503.04717220254 64238.72575731911, -45506.285589300445 64227.862209698935, -45332.217329741616 64073.459433484204, -45335.51581585357 64061.1349816562, -45346.37880996999 64020.95233726638, -45346.547944266385 64020.7136421526, -45349.19423992097 64010.4082655925, -45352.06575453976 63999.21509577957, -45353.37429230844 63994.33823419655, -45365.87838298281 63946.93482723549, -45365.97138636977 63946.598039510565, -45386.14586490997 63873.207940261556, -45415.910826409956 63764.93478521433, -45457.79572974618 63612.56688910281, -45464.81484140997 63587.03399478105, -45492.56182503436 63486.0999784628, -45492.72338376881 63485.60264205751, -45501.346129089136 63458.75673209531, -45501.475476085136 63458.35400323306, -45513.10210619249 63424.80158420831, -45525.33270234311 63391.29953328011, -45537.82374690115 63358.7791668295, -45538.22069309932 63357.75972054873, -45544.661240453905 63341.789743263565, -45551.42888783668 63325.009455534426, -45565.27093828393 63292.23071511439, -45579.382665646735 63260.37690701662, -45580.24346238947 63258.492753941784, -45588.78508306849 63240.02898515664, -45594.94241863574 63227.083228040006, -45600.22431696589 63215.98366793489, -45604.98815998989 63205.96303497603, -45613.093777442926 63189.89608650092, -45621.9553435413 63172.32293245605, -45639.33989176555 63138.93085737567, -45657.27091916381 63105.86607540426, -45659.09930962719 63102.5933484572, -45675.61053113838 63073.06811557087, -45676.54965882997 63071.483852209596, -45677.244695422116 63070.311383683, -45687.680648315836 63052.619734933374, -45694.598162223614 63040.89756169428, -45694.72008164857 63040.68695351126, -45694.889297952715 63040.413394416595, -45695.70029371972 63039.08395134025, -45734.36836089449 62977.17345583649, -45734.5703227519 62976.862307699004, -45754.88445975101 62945.88345325931, -45759.695986338564 62938.80422692025, -45765.932285822135 62929.62909823916, -45770.82990755096 62922.427356971806, -45776.01405604101 62915.06296620698, -45786.427362867835 62900.21468223504, -45797.457903878 62884.48674820206, -45798.73124406975 62882.74765673768, -45799.92065069175 62881.12575851142, -45806.482350651 62872.22934900197, -45829.7515296689 62840.83593354822, -45840.368838187365 62827.054270029985, -45843.23949029745 62823.35776680587, -45852.41211129228 62811.54555336276, -45869.523911289005 62790.07171768123, -45875.56868500175 62782.70832965887, -45897.995554124056 62755.44682059384, -45899.07432598064 62754.19433244894, -45911.039486958536 62740.22351029135, -45922.60977532684 62726.83726259426, -45923.7715685896 62725.496833501755, -45944.18574742779 62702.44682497118, -45945.056972275444 62701.46115616018, -45947.498280059495 62698.79965956111, -45948.42275557262 62697.79217119346, -45966.98427259966 62677.55788249425, -45968.02122614747 62676.42487764276, -45972.251538322904 62671.94043078136, -45973.4067733607 62670.71341581819, -45987.82811350915 62655.51135186138, -45997.418946032645 62645.40496738843, -45998.89609106011 62643.98057811708, -46003.54087025384 62639.69680221376, -46032.54018180788 62612.965187382724, -46033.96391612697 62611.69513966551, -46035.15670976051 62610.63230206654, -46058.975415298344 62589.66792851828, -46060.51849789074 62588.33131496712, -46061.74682852171 62587.259000705744, -46065.5705570821 62583.92646799001, -46066.854865286594 62582.83551235135, -46076.078899679706 62575.01776294791, -46080.62728812841 62571.165339576364, -46085.16670006029 62567.3160840797, -46093.114917785584 62560.680665155116, -46101.07678684728 62554.22190815031, -46112.506399496 62544.95201107918, -46113.03903957053 62544.51966381088, -46125.17966673853 62535.07669931033, -46137.97711686371 62525.12305410185, -46155.36114387502 62511.91620518653, -46164.57175927594 62505.0502836177, -46174.328646147806 62497.94129678072, -46174.78114970187 62497.60938341527, -46184.952167572264 62490.20281268693, -46187.23842486769 62488.533653145634, -46187.430615640136 62488.395835063435, -46200.241023539485 62479.42277704251, -46212.347495731825 62470.94100007245, -46212.66678503299 62470.72824178183, -46225.12959891468 62462.32087790188, -46237.657444451776 62453.87277100739, -46238.70115797569 62453.16546111712, -46250.746010865696 62445.28244829807, -46260.05295416301 62439.19258596146, -46264.1736768433 62436.61791672055, -46276.9882252803 62428.60637220116, -46280.16306381202 62426.62312978319, -46290.706330071895 62420.230255037335, -46299.44363987561 62414.9289565112, -46304.68385885473 62411.83009609903, -46317.91009020122 62404.00651534782, -46320.46675468702 62402.49621265178, -46330.79312655614 62396.45535089348, -46341.19641932716 62390.374072389066, -46344.036183059725 62388.80520313205, -46358.1671842189 62381.0047257324, -46371.508999467806 62373.641882865464, -46385.27935280771 62366.04464546535, -46398.30790993634 62358.85375173226, -46411.78582193659 62351.41579085619, -46425.53543596352 62343.82801071753, -46579.16691230062 62259.58443362825, -46579.18472248619 62259.572092542534, -46612.076343274945 62241.559738299016, -46612.12916373542 62241.531802458856, -46672.72439919579 62308.648521385585, -46673.36757454006 62308.12639362877, -46677.30714594093 62304.928791041246, -46677.4104682348 62304.84130163054, -46690.31858998368 62319.14142168667, -46701.05382179493 62331.034542819754, -46718.91805640773 62350.82602169612, -46726.66957322953 62359.413676732, -46743.17610724534 62377.708013822965, -46796.95805899831 62437.30523443108, -46848.00217066501 62493.86903637867, -46865.47860290827 62475.57155237448, -46883.39956170733 62456.806086826036, -46901.70135731751 62437.59810531699, -46916.292845320415 62422.33485988604, -46919.92273695095 62418.52551326233, -46930.763731658066 62430.40534205289, -46932.64855670488 62432.51393999721, -46950.8856687159 62452.5616652648, -46951.46290649694 62453.19623269909, -46970.56061529418 62474.19539905412, -46971.399961661526 62475.11015956271, -46972.42364341812 62476.23056580954, -46974.07108153822 62478.04485107974, -46975.4382205636 62479.55951275749, -46979.14800514437 62483.630745499904, -46980.0014749811 62484.56906652081, -46990.09408308184 62495.66262023344, -46991.58848967467 62497.3041872247, -46992.14322016785 62497.9139295247, -47002.429858628115 62509.22404761737, -47018.23639622086 62526.59752105885, -47029.742528454844 62539.24693018635, -47041.26326517234 62551.91215115667, -47046.29968555805 62557.449857616244, -47052.75132286037 62564.54926618616, -47064.0555972206 62576.970092184885, -47066.54743989755 62579.705892753474, -47086.8656236076 62602.04412843098, -47096.76775321062 62612.93029445692, -47098.0375062667 62614.32621014098, -47108.760332456666 62626.11068943929, -47096.7322630206 62638.56855492235, -47081.4191197094 62654.426314041295, -47036.550886350924 62700.889718731254, -47025.79593261863 62712.02288608368, -46995.223897158525 62743.67931884934, -46962.20181776996 62777.884370707376, -46977.73137019229 62795.36313653239, -46993.664966580924 62813.301642682614, -46994.90898510697 62811.99613372455, -47005.465891936125 62800.97549524666, -47016.010960487176 62789.96425547332, -47019.80680322406 62794.225713839216, -47044.87422860766 62822.36216660055, -47047.72938821027 62819.422062719175, -47067.17533397937 62841.1257254405, -47111.82411581529 62890.950570911875, -47152.818781595015 62848.30585061968, -47154.555091712224 62846.56853258231, -47174.97783362693 62869.02948896078, -47213.98366004879 62912.008417149016, -47227.45391587453 62926.81105013835, -47240.923983165456 62941.645021384706, -47254.30304499758 62956.38400928408, -47265.75625132182 62968.995389046984, -47267.80251114468 62971.21826003494, -47281.12596484085 62985.893955794585, -47283.544408199734 62988.56628304786, -47294.22940110098 63000.36364795002, -47300.863869075474 63007.576754756505, -47306.556343984885 63013.91533588141, -47315.95176457024 63024.23761746022, -47321.95244208591 63030.842441071174, -47355.36805821129 63067.628345578734, -47384.6153162428 63099.80740840857, -47409.098842714455 63126.77447817001, -47421.109037650276 63139.990653978486, -47423.18160328072 63142.27672542221, -47427.01000987675 63146.50035065222, -47428.23202605838 63147.843326619324, -47436.41129431282 63156.83218356137, -47460.28792156188 63183.12805862652, -47463.974275664434 63187.188783082864, -47494.8234787929 63221.148730584915, -47507.416772586555 63235.03281514082, -47511.61466742533 63239.630602503115, -47515.115070337524 63243.464840569046, -47525.21664817601 63254.603836637885, -47535.66153832825 63266.103661612724, -47554.69541837946 63287.06132137531, -47565.9110232824 63299.4191807125, -47572.23147323398 63306.33139736575, -47578.217786327536 63312.87941247238, -47639.78655169235 63380.73890087042, -47661.306316812355 63404.43533214247, -47681.759141066206 63426.95710696696, -47703.183361626 63404.690171267524, -47724.31151904469 63382.73387682946, -47739.67050125664 63400.039002461606, -47745.751794692726 63406.8984118594, -47749.734400291556 63411.389214644754, -47707.75073269716 63455.105563585355, -47705.07251078132 63465.84284102485, -47703.89681073716 63470.43578752862, -47703.62775874849 63475.39297059533, -47703.924309297436 63475.55471361013, -47703.94001756196 63478.40463112538, -47703.14490163005 63540.24924176291, -47703.14339846978 63540.36558860621, -47702.758247506325 63570.16433648152, -47702.67054179903 63570.16338604046, -47680.773740534125 63569.96403311042, -47680.75901975185 63601.56756110179, -47696.114319225024 63601.748458308255, -47725.84703276583 63602.10242687844, -47725.65105931237 63618.207536958704, -47725.460917067816 63633.716796311455, -47725.07336947456 63665.617904322215, -47724.74858128259 63691.86386009865, -47724.69783879763 63695.50153448857, -47724.48977828638 63713.0283124576, -47724.21000361391 63736.074674155345, -47724.009170814876 63752.55488138762, -47723.766840647455 63772.76105567412, -47723.61939684999 63784.33001469163, -47723.42517301061 63800.088175343764, -47723.236011956185 63815.978897493485, -47723.12740258321 63825.013420467, -47723.11141385361 63825.87715028126, -47723.10308915569 63826.570594390025, -47723.04257845188 63831.55127192877, -47722.85127487468 63847.31261456993, -47722.46637316035 63879.283199492864, -47722.36583202236 63886.6185755838, -47722.27178155848 63895.6864978297, -47766.383732433824 63896.43971991504, -47813.65698370147 63897.24191365075, -47854.74560339994 63897.9405210655, -47865.64635343465 63898.14935150627, -47894.86587120898 63898.80628565943, -47894.73927284801 63908.325316390954, -47893.80378050263 63960.238925869475, -47911.36726281917 63960.496599981496, -47928.933820010585 63960.68814085579, -47939.8611212691 63960.81626292833, -47946.70093859403 63960.893333822176, -47963.79306416515 63961.10447829078, -47963.511622044534 63985.09357611353, -47963.50691526267 63985.462474445514, -47963.49245323926 63986.60671458962, -47963.05031650443 64023.07874508059, -48029.04612779714 64023.972501547854, -48028.76530225924 64045.40801254524, -48028.49493374259 64065.89780831641, -48028.22475853927 64086.38760848781, -48027.890111429675 64111.605955790124, -48027.558542004066 64136.82107532376, -48027.22740382583 64162.010755182266, -48027.22699305531 64162.03929775699, -48027.20945239259 64163.21831791507, -48026.904986992406 64179.503662970805, -48026.88405890753 64193.99538814004, -48026.88274321958 64194.87214017769, -48026.871444089134 64202.713264493555, -48064.673951549754 64203.10532303735, -48065.49909089866 64203.11391924882, -48079.08446109327 64203.254795210065, -48093.229762578834 64203.407771286766, -48107.375025638175 64203.554431899815, -48125.02725778075 64203.7432868412, -48135.66872038414 64203.82900000235, -48135.6546797774 64205.49963433004, -48144.31866632728 64205.62635174936, -48161.70522770767 64205.87693587379, -48177.32368214133 64206.10317249064, -48198.426274961195 64206.406104310685, -48200.60407678631 64206.45137232887, -48217.81684247265 64206.60273185021, -48218.25442532737 64206.60662642715, -48218.38878789713 64189.63816759505, -48218.73816420726 64145.532194266016, -48218.75398955363 64143.51710064776, -48225.83247860466 64143.62362976202, -48240.47240880043 64143.848234403595, -48243.80241455331 64143.89655281746, -48262.57402400747 64144.16862803636, -48262.58012511454 64143.538128157445, -48262.58864665846 64142.38762204555, -48277.264110794895 64142.58711764102, -48276.65261267755 64190.28142801895, -48276.72272449864 64207.39969464076, -48278.873992277724 64207.42261186983, -48310.7007123492 64207.808685767355, -48310.71243791974 64205.98021804359, -48395.76572979751 64207.16054298794, -48404.21182313583 64207.28612544123, -48404.19845531287 64208.79942187946, -48412.466278911364 64208.83467504201, -48432.20681655051 64208.892542960704, -48459.198810540285 64208.98114296552, -48459.49659311233 64208.98245538529, -48479.91660433679 64209.04884593517, -48508.38900779761 64209.14364764488, -48532.73537488493 64209.225067639396, -48534.940745812215 64209.23083184649, -48540.6274180089 64209.50080632901, -48546.51551826793 64210.14696851657, -48547.33999764571 64210.29272192467, -48552.637293428415 64211.23868754476, -48565.01525942724 64214.84138357758, -48569.92139899649 64216.80366095439, -48572.89111494854 64218.21445222942, -48575.79315265207 64219.59649485113, -48582.19150017018 64223.21150537002, -48589.18760166162 64227.50414402514, -48612.13214160037 64241.59992175981, -48613.810814805016 64242.63112010028, -48618.08317284579 64245.22535767277, -48675.85472167581 64245.315013729814, -48678.94306159797 64245.36135601155, -48711.72254992026 64245.568813237995, -48711.878715992585 64245.56666738758, -48715.87729087254 64245.61067773466, -48715.88938071944 64264.47793035067, -48735.953767794665 64264.73210704222, -48735.99010909973 64264.729272460296, -48736.14343612798 64264.72063468953, -48736.296710034 64264.718099351536, -48772.07263958516 64265.07870074997, -48771.540049500436 64246.066661074015, -48807.49286473349 64246.42814296302, -48807.71216205781 64246.42327367508, -48807.821437860264 64246.41632850985, -48830.133607774354 64246.174071207104, -48882.91536592872 64246.297633803544, -48900.394408444394 64246.346705989316, -48918.194556682465 64246.400513320485, -48929.98268790715 64246.4349569357, -48941.77389682994 64246.46617156993, -48949.159104533486 64246.533090413606, -48968.288423134305 64246.5364061444, -48976.522482529595 64246.56010005574, -48988.31078917091 64246.59132894293, -49002.28292713937 64246.62709160304, -49002.48013547673 64246.62761835172, -49015.86281482019 64246.64447599042, -49030.00867813017 64246.683841056205, -49055.500694499446 64246.75547350722, -49078.163483695134 64246.81671900917, -49091.69799264934 64246.68107518131, -49091.58915292149 64255.83238632117, -49404.96209141186 64257.41353384557, -49404.972153217044 64248.239246554345, -49404.97022779279 64236.8903013512, -49405.003885967264 64226.32962657497, -49405.0756482076 64205.460519534914, -49405.08231270585 64204.10191323481, -49405.1261887183 64184.750567551615, -49405.165831059865 64169.30197548489, -49405.165913687364 64169.27497577336, -49405.17780951957 64163.81542089378, -49405.215914401895 64148.082799967815, -49405.21519875027 64148.06467564368, -49405.06276653455 64143.195708865365, -49405.08169790171 64135.06253056116, -49405.11092763103 64122.35812814648, -49405.11230537431 64122.0774901689, -49405.14693899406 64106.466540513975, -49405.126500740625 64101.55172751004, -49405.18143572113 64090.86510453747, -49405.143713068086 64081.02915005646, -49405.21488795798 64070.05143179182, -49405.42659456511 64060.4133742096, -49405.3400658344 64049.09863305914, -49405.5610549044 64049.099704614855, -49414.47293310317 64049.12033301225, -49437.87255131879 64049.18180228719, -49443.97303992716 64049.19834965802, -49461.71422388288 64049.24230277095, -49470.025032602935 64049.25995085911, -49472.44744478294 64049.27781455001, -49485.028326124666 64049.347557246234, -49508.784156810674 64049.44541946493, -49520.569419840955 64049.48607389566, -49531.91537681914 64049.549693020446, -49531.99271334888 64031.833133222295, -49532.012106088754 64026.00123718455, -49532.08427907608 64002.04263116877, -49532.155089826265 63978.3679730109, -49532.22578750869 63954.7215540272, -49536.95877228062 63954.734667581906, -49551.971021623904 63954.76860023659, -49571.59845330486 63954.81531816366, -49586.910270700115 63954.84873440107, -49600.55116666334 63954.88636834692, -49600.64919674762 63983.62069886865, -49609.799903308965 63983.6760633981, -49665.97333346238 63983.92267164545, -49665.882450504505 64002.64807472644, -49665.79370024865 64021.49933761254, -49665.70320437659 64040.13019115648, -49665.60932390154 64059.45431242754, -49665.562534743614 64072.73231291409, -49665.54136308993 64078.30583056094, -49665.45811947844 64097.251902933276, -49665.407894044474 64107.58545615228, -49665.3654008017 64116.35538237228, -49665.27354885845 64135.23842040708, -49665.18624631629 64153.83769924432, -49665.15441658837 64161.633672638796, -49665.10899915252 64172.75227492446, -49665.0237306702 64191.540518128175, -49664.93750606468 64210.48981513367, -49664.849524413425 64229.81398714828, -49688.4259774617 64229.86693819791, -49696.70712552186 64229.89119078261, -49720.87296096396 64229.9621925506, -49738.9073466484 64230.33208831985, -49738.85799881491 64244.13981111705, -49743.35395682093 64249.25249267816, -49767.40471170398 64249.35809218128, -49793.927783236955 64249.5133098895, -49794.005628075625 64230.4441908055, -49794.08410894341 64211.27432237871, -49812.149130934 64211.40491030187, -49823.93701041709 64211.4927473576, -49823.81518624883 64230.50159274173, -49823.766246784086 64239.97142582358, -49823.71337685641 64249.63678622898, -49823.59992828567 64268.733899707215, -49827.07757577905 64268.741152266775, -49827.54893594028 64268.74026664094, -49827.79351909538 64289.98600259579, -49826.96840034914 64289.98839945897, -49825.81606324984 64289.982893742344, -49802.84661404307 64289.939338342454, -49802.772941802956 64289.941981653894, -49802.67830679126 64309.42704921214, -49802.606643635874 64329.63103672765, -49802.50850698902 64349.2390159033, -49802.41307583793 64368.87862217203, -49802.34405211086 64388.54967524906, -49802.24774513571 64408.37857998446, -49802.1756232371 64428.04975370878, -49802.08821734399 64446.0428709961, -49784.35248900977 64446.09135569531, -49695.70637850877 64445.607599352596, -49695.66986422867 64451.912332486514, -49695.590625598765 64466.41342038521, -49695.54329947291 64481.009317322605, -49695.460100511766 64495.10050802698, -49695.32503372398 64523.50379430577, -49695.2626796008 64542.387001115625, -49676.28395271457 64542.30890645395, -49673.82618121358 64542.297120979696, -49672.747559341646 64542.29507404309, -49672.6956402132 64551.75219798347, -49672.640816215804 64561.20944929116, -49672.604925509324 64567.5793750263, -49672.53300445089 64580.37612306498, -49644.065046482836 64580.20227701021, -49643.93357475582 64595.74331935049, -49643.80093615824 64611.505207232054, -49643.66249797691 64627.26693616436, -49606.55895581335 64627.199932522446, -49588.87597232673 64627.3138350475, -49566.06306791942 64627.220455130235, -49566.0658464982 64629.679569513915, -49566.06906591665 64658.745534771835, -49566.073168086186 64674.4139075484, -49578.83395240144 64674.488438825814, -49578.84904502012 64690.59948778118, -49578.92897548585 64717.238612359884, -49579.0344561016 64753.145992430975, -49584.00315610538 64753.16347132061, -49599.195104614904 64753.22661044791, -49608.035842268146 64753.2536435131, -49608.09688890738 64777.89658883074, -49616.68164549041 64777.79165360366, -49636.031503609 64777.9174601599, -49646.56409770325 64777.98594241911, -49651.37941280349 64778.02229607946, -49661.917835000735 64778.1015905578, -49673.14888145086 64778.169903447124, -49673.15906285068 64810.04487046381, -49673.321059355636 64810.04557100809, -49676.07634298315 64810.10914124742, -49705.578912202414 64810.2501909972, -49705.56563198943 64778.40679692967, -49732.1478859829 64778.508620256995, -49737.15778368311 64778.52638304853, -49756.60815024757 64778.60047517398, -49761.373384711274 64778.62013996363, -49761.26058065409 64793.97225842181, -49761.25593522717 64794.3190183625, -49766.53415808185 64794.34421084442, -49786.632657593305 64794.446651056445, -49791.20052098902 64794.46847474141, -49820.70016746493 64794.62210858088, -49820.66928495181 64798.53095786196, -49850.19572116382 64798.621682472316, -49850.20254603205 64795.342014176786, -49856.974930772725 64795.41214465969, -49863.752741549055 64795.489767866595, -49877.10280138331 64795.547425535886, -49881.55277056014 64795.568711782464, -49897.4961023022 64795.63863428761, -49897.55092741472 64762.53763086807, -49902.56382654496 64762.55525380255, -49915.23600608212 64762.606389659115, -49932.9181619443 64762.67206277333, -49932.90671623125 64767.08537568142, -49932.82581968047 64784.10845061875, -49932.8157376066 64786.78809064973, -49932.75017737698 64794.823459832565, -49938.6736894199 64794.83915367077, -49952.52492046028 64794.86754623974, -49952.61559756673 64773.77468968116, -49952.66317603033 64762.77265174354, -49968.40025748284 64762.832058850305, -49981.66196148052 64762.87972618459, -49987.11405684076 64762.902507662264, -49987.047936658186 64782.54227638967, -49986.97052046128 64799.691558219165, -49986.935770377284 64810.43509957291, -49986.92931214499 64812.4274790666, -50004.49379224233 64812.44832642039, -50004.30339404809 64858.28794480325, -50024.35545699094 64858.29229958442, -50029.85762347409 64858.47400711007, -50035.34172835439 64858.98162339029, -50035.82278673053 64776.84880168618, -50035.86305661526 64769.8945773879, -50050.129535642714 64769.95011418768, -50057.20230238201 64770.01414630948, -50063.921539437746 64770.03490024017, -50071.937226310394 64770.104816301464, -50093.9218692205 64770.238064233425, -50108.95443381886 64770.33188634896, -50117.64514234497 64770.38288128914, -50120.24450370994 64770.39530629787, -50122.802375186744 64770.40752933083, -50147.08567377865 64770.548797486066, -50159.02693490113 64770.61840430201, -50164.53198768832 64770.650994321644, -50165.34834210492 64770.65497423216, -50173.0016076461 64770.70101282725, -50176.526246310954 64770.72090652937, -50178.57741539155 64770.73553348826, -50179.264042444614 64770.74031600374, -50179.38483649394 64770.74092455392, -50188.146304913644 64770.78970240017, -50191.2612795656 64770.80709923339, -50191.549989409636 64770.81156863296, -50195.53426304447 64770.84328761393, -50204.52269563755 64770.88615596196, -50205.58366019642 64770.8943315571, -50218.63868661243 64771.00406229501, -50232.754657105004 64771.1188607943, -50232.9904661254 64771.12302353314, -50256.89325692607 64771.31913439764, -50256.79307380632 64794.96243026928, -50256.75774863712 64810.72479625766, -50256.721430752295 64819.16092304103, -50265.568402736 64819.099463504106, -50273.78376129307 64819.065656562576, -50296.41659484976 64819.220971091425, -50296.62938711112 64803.33340722444, -50318.411415198585 64803.30812652974, -50319.14815502575 64803.30858549619, -50321.29946281093 64803.306284735605, -50330.131945768255 64803.295216042716, -50333.353260466654 64803.29129969123, -50333.50933957769 64779.6482890145, -50333.67190027735 64755.910688735545, -50336.61892588934 64755.92162966599, -50353.50246254341 64755.989676078716, -50355.45043938086 64755.99589247276, -50361.94273763011 64756.02148401882, -50363.02430573139 64756.025667084825, -50363.71387064214 64756.028975694804, -50374.871230862555 64756.0727883842, -50387.99745913774 64756.122867188664, -50394.115442355236 64756.1362696913, -50412.829316667514 64756.17202284426, -50418.61903698947 64763.515915197604, -50420.30124911878 64765.6440943612, -50431.816822659835 64780.108530778925, -50434.03608512322 64778.06338339108, -50441.86917449347 64770.87208820185, -50459.75534372136 64754.42253644752, -50507.43345834609 64813.803657551965, -50507.14620184314 64814.0669726774, -50507.30453763989 64814.26010180367, -50541.69951050771 64857.385492091875, -50566.0119361242 64887.88011589029, -50570.462304483204 64883.59501722022, -50589.34795918729 64878.91937512984, -50623.70983285543 64870.32799279372, -50626.87926580202 64869.45102942184, -50668.90934589403 64858.80005888131, -50674.62184464664 64857.352534582984, -50680.38459143264 64855.910933354615, -50682.12250967382 64855.47482152221, -50682.54748880564 64855.369620732, -50695.17650100182 64852.16385815619, -50700.08279996031 64846.812255445184, -50700.64873082576 64846.19393419331, -50702.04127708169 64844.68104247988, -50716.579724535986 64828.817664032846, -50718.11361833515 64822.469596062845, -50733.24546121334 64759.73765528991, -50749.071878223964 64694.13379955089, -50773.67676209953 64694.200807219146, -50795.03995390518 64694.25867293418, -50856.50947565662 64694.41957590312, -50861.6756459794 64694.43467446548, -50855.92297219388 64702.91590009968, -50789.48484510147 64800.900077569204, -50779.90594124935 64815.03447341832, -50774.45707741287 64847.680975647876, -50772.067012764324 64861.02038100627, -50771.498608785885 64864.24106183275, -50771.409263286194 64864.756004723, -50768.94010421834 64879.8986547114, -50763.74221930673 64911.77380891132, -50763.24203818926 64916.852655652394, -50763.415431225956 64921.95578479692, -50764.25890327493 64926.9813006, -50764.40512409626 64927.57726479593, -50785.48453478896 65015.67679875995, -50785.69791857196 65016.66131301419, -50785.57901701594 65016.85939218474, -50785.48743754233 65017.65836303068, -50785.270417778804 65018.429287547784, -50784.934216555375 65019.149679793205, -50784.48853945135 65019.7984928308, -50783.94632010551 65020.357147302886, -50783.32343529856 65020.80931677206, -50782.637913916944 65021.14163026523, -50781.90962159292 65021.344698297515, -50781.15978754174 65021.41268604996, -50759.58409988363 65021.448436621125, -50751.598298039426 65009.99714764845, -50744.142946781605 64998.143513655996, -50737.235542939285 64985.915531622624, -50730.89268546217 64973.34231200049, -50725.12912407277 64960.45343205271, -50719.95871316926 64947.2794791507, -50704.59373209062 64959.75953783319, -50701.68557735665 64962.120673224264, -50694.66128329584 64967.82352420771, -50677.74678588222 64981.804008364175, -50677.5271157233 64981.98557704962, -50716.62333422489 65030.2119715015, -50871.77290444848 65221.5933305397, -51003.237131271024 65383.75843644781, -51066.138655669056 65461.34931344004, -51075.061420875034 65473.27035265517, -51083.43344250169 65485.64025498272, -51091.23502584378 65498.42992946634, -51098.44804560208 65511.60939688403, -51105.05546510879 65525.147673152605, -51111.96511709752 65541.06684378126, -51117.05255005362 65554.47342559288, -51121.379187877894 65567.46466615342, -51125.492706330886 65581.7692509214, -51129.38736967179 65598.12114329387, -51132.02262816245 65611.866971505, -51134.19933785298 65626.49041679612, -51136.093149096974 65645.42695873177, -51136.913202001706 65662.75681328514, -51138.21009360693 65769.39610205278, -50197.59403340024 65778.96780663931, -49600.90508592097 65785.03052817097, -49600.92893649735 65787.43507039931, -49600.99417736773 65794.02727467341, -49601.329782275905 65832.92782457857, -49601.364821114454 65837.84291483379, -49601.48395958059 65853.9591458517, -49601.64992131819 65870.7840835686, -49601.72956426435 65887.7327749513, -49601.90264454119 65904.8429255914, -49601.97711264183 65921.71874523466, -49602.09022614297 65936.66224519358, -49602.204929904285 65953.06544047412, -49602.20873610807 65953.49736731728, -49602.38314131909 65970.39205417284, -49602.51802878848 65988.70310339327, -49602.5053663676 65989.99874331226, -49602.489006050026 65991.66951494779, -49602.673880173934 66017.30036346536, -49602.729129744825 66024.7249006279, -49602.82514109295 66037.72958998343, -49602.93627695672 66053.06088649217, -49603.051142669625 66068.87448993893, -49603.21492477766 66088.54955618666, -49603.341505645556 66107.60463191362, -49603.49981570641 66125.14298675318, -49603.567690393815 66139.67959604572, -49603.72998610031 66156.01963163105, -49603.85587353036 66173.17669365958, -49603.996320908576 66192.09248002738, -49604.11038029337 66207.54106632862, -49604.22396400805 66222.98932876618, -49604.31481644347 66241.88834356105, -49604.50286223677 66260.82342861571, -49604.644120909594 66279.6825401204, -49604.72474284569 66298.27339013616, -49604.85399998054 66315.93136630916, -49604.98120920166 66333.42851631259, -49605.10309849949 66350.79961522201, -49605.17632289596 66360.00531112863, -49605.25680785195 66368.29686708361, -49605.32354350451 66380.04366177325, -49605.34716560048 66384.06075273166, -49605.463303681434 66399.82648007611, -49605.57826389574 66415.58896761392, -49605.69617489252 66431.35339742745, -49605.7935252307 66447.11612706851, -49605.829707184545 66458.4685412542, -49605.84154792072 66462.09093812824, -49605.927085064795 66469.97584408404, -49606.04093901786 66478.07836570368, -49606.15075955377 66493.08507278882, -49606.27453264713 66510.06825997203, -49606.37720036571 66524.71236681168, -49606.38494716282 66525.56680870464, -49606.50170817171 66541.582910138, -49606.61178359458 66556.96133699016, -49606.72649565309 66572.9505864801, -49606.83976218949 66588.45903929925, -49606.688118156606 66604.5142582908, -49606.84089547407 66622.19128057863, -49607.19228876434 66637.22744549897, -49607.19646488161 66637.57734180764, -49607.42442204531 66676.19400095307, -49607.43453739496 66678.35038813941, -49607.50284044509 66680.05936898528, -49612.52205473667 66683.01531836619, -49615.863301877405 66684.98574832581, -49631.732458432234 66693.8303427062, -49622.017514627005 66724.28342173343, -49621.91871001892 66724.58870906412, -49608.01927840991 66767.88224925981, -49607.959543693425 66768.06176766918, -49608.979108746644 66882.14465109502, -49609.29343844913 66915.7114150476, -49609.45888282801 66933.21527735957, -49609.769258412765 66968.20361086917, -49609.7714414817 66968.37075062445, -49609.8945885295 66989.73616177485, -49609.89675109581 66989.90019730777, -49609.8814395097 67009.43966932547, -49609.871899832 67018.06498413923, -49609.87944100148 67035.1256725777, -49610.0008882928 67050.42307827999, -49610.015181446906 67051.6687585774, -49610.214814658735 67072.46394127996, -49610.44259040162 67095.31161453188, -49610.520235955955 67117.55318021351, -49610.6496053192 67123.08970258082, -49610.76506739123 67138.74903497625, -49611.185192112636 67195.44358425797, -49611.19272843336 67196.31053725515, -49611.292712803304 67196.35506428574, -49650.400898373926 67213.19081349527, -49675.97196509407 67224.19889653238, -49697.68181276861 67233.5270179592, -49716.4044810184 67174.0773652229, -49749.3713039744 67069.5102452952, -49769.765005772046 67004.59586316529, -49778.1714926784 66977.61541109948, -49809.19306217785 66990.7837860047, -49819.38356941792 66995.10741485686, -49827.32719588344 66998.46816684163, -49832.012281200965 67000.44507611573, -49841.81164305189 67004.60283508028, -49844.6731953924 67005.81454702267, -49846.04375742595 67006.39491198605, -49857.3020223966 67011.15541263994, -49865.14257272162 67014.48727321673, -49869.93055620757 67016.52792456854, -49876.83014559936 67019.43909289376, -49882.5621510234 67021.86244565542, -49895.22306894489 67027.23180136191, -49907.854776446795 67032.5696301793, -49920.04524297708 67037.74125744624, -49920.13048636632 67037.7794844062, -49931.756481357625 66997.77875236017, -49933.94742302908 66990.24197674815, -49934.3004251895 66990.38559169006, -49947.286998148295 66995.44446339204, -49960.36917014924 66951.13475105025, -49961.33573272557 66948.12556530583, -49947.994065724466 66943.33922454744, -49947.626340586656 66943.19251776952, -49935.15265641524 66938.72244951109, -49922.278772274185 66934.10861238201, -49920.57831804434 66933.49523817767, -49909.43717016746 66929.49182600871, -49896.598681958385 66924.87822529108, -49884.81023060435 66920.68260087508, -49917.10217559593 66817.5954461787, -50189.41451459614 66809.42745872866, -50246.05449785449 66807.99522142364, -50245.15788121494 66812.92241670153, -50239.365908119085 66844.65351057758, -50238.2881401811 66850.5373752624, -50233.72585245278 66875.61004254853, -50233.60509393111 66876.27372094482, -50226.01624673684 66917.9876927419, -50223.993221469136 66929.10944276504, -50219.76644921252 66952.3078644137, -50215.45466494461 66975.97861574848, -50211.20092864531 66999.27458067355, -50207.074259796085 67021.87444989913, -50202.91346684133 67044.82409900503, -50200.261380330376 67059.30058267455, -50198.6290482005 67068.33751226199, -50194.411366634056 67091.47285900517, -50191.401982974625 67107.91485392697, -50190.157823592446 67114.70571441631, -50186.86033510634 67132.83609203728, -50186.039969425874 67137.30892104101, -50182.57881634616 67156.3810293367, -50178.14295708759 67180.74794350739, -50173.88909759427 67204.04089218777, -50173.29878851098 67207.26312584204, -50169.64188537022 67227.30339822138, -50165.447462610005 67250.37771103192, -50161.25683281617 67273.41570979691, -50156.7287029342 67298.16050128854, -50149.359101472684 67339.02028737041, -50145.914696645974 67357.65440008797, -50145.070560231004 67362.19320241146, -50140.27649079435 67388.09387182981, -50139.62240425821 67391.68783525113, -50136.54899065205 67408.60230672928, -50136.53890774747 67408.65841442307, -50134.358467561186 67420.8965804129, -50107.073451583965 67409.0321691369, -49857.297590602204 67301.98197447581, -49846.72041065304 67330.90788839135, -49839.759415984416 67349.94935232366, -49820.11679067202 67341.55794520944, -49819.22285077397 67341.17216128802, -49819.205209977015 67341.16578254152, -49721.07621963942 67298.90636441714, -49721.048747230045 67298.89464779578, -49682.538709739565 67282.30671919949, -49662.99013380623 67273.57145610059, -49617.6018420741 67419.09783580278, -49608.97131070933 67447.00445677145, -49607.24536913084 67452.58537129463, -49606.76327454947 67454.14989249474, -49590.984509096364 67505.17753915497, -49577.816342077174 67547.77186128122, -49570.251847483705 67572.23429251685, -49522.95872870816 67725.38121558097, -49531.19728486073 67728.30851478051, -49539.26243618764 67731.1521396561, -49586.45752959306 67747.90673269084, -49587.02864384531 67728.01986354751, -49587.55445724049 67710.14726693567, -49599.97851028802 67707.88650679424, -49613.018923843905 67705.50250203277, -49625.065409562216 67703.30280675161, -49630.99711208813 67702.2183036635, -49648.20270825575 67699.05028094778, -49652.27553627149 67723.90569588996, -49655.74175053985 67745.04457441425, -49638.23498592989 67748.33720904162, -49620.64009576071 67751.59473915547, -49603.378305421385 67754.82556713762, -49586.169416015575 67758.0566967869, -49534.96539596117 67767.5941054909, -49517.90116301039 67771.29574762784, -49508.18578506419 67773.09231053424, -49507.33586910653 67775.89269061344, -49246.08941901292 67822.06077063031, -49247.704158511566 67832.24285859501, -49250.22018987513 67844.39028387901, -49259.84305717633 67906.73116252857, -49261.08246760259 67914.75216438589, -49237.55944406246 67919.18455290182, -49235.154015674736 67904.63637426177, -49231.50516735379 67881.67116031647, -49226.16252997819 67848.84002820561, -49222.727354490555 67827.70228474084, -48830.11497348111 67899.33515136094, -48572.0075834009 67945.57642949051, -48571.30825547695 67941.00757033695, -48448.537401397945 67963.6386383973, -48420.78441783664 67968.75444483367, -48425.41346231915 67999.73819608719, -48431.53319274688 68040.70068346467, -48436.32841730818 68072.81073401937, -48391.90898664759 68081.03390497481, -48369.33222916596 68085.18163556013, -48369.32114546598 68085.10912099128, -48368.34503127213 68078.71105877006, -48367.660216456046 68074.46113282061, -48365.55390744165 68061.5191658268, -48362.7759127539 68044.29287014925, -48360.066378279735 68026.93747127688, -48359.27456619426 68021.87694665781, -48356.839135895374 68006.34188186565, -48355.16425117046 67993.85563227136, -48353.56132904303 67980.96373698527, -48336.10319422635 67983.98841025989, -48318.644863347676 67987.01317613476, -48289.47122545463 67992.07176614698, -48272.032050312664 67996.2976360959, -48265.396976576034 67997.6844051546, -48263.82335834334 68002.04039185657, -48166.67398895783 68019.43062253023, -48168.02426151746 68028.6831035513, -48171.27341380146 68049.09122137283, -48171.302916632645 68049.28021262362, -48171.37466804591 68049.75361871888, -48173.79590699534 68065.74422860482, -48123.92010719286 68074.86496414499, -48074.92287577537 68083.91418881189, -48072.34719472508 68066.70551492026, -48072.211937265274 68065.61595317996, -48069.87107008235 68046.75448823515, -48068.777822312695 68037.51679212802, -47914.03776249219 68065.85339478777, -47837.898150810826 68079.77021632841, -47839.31227728875 68088.87216507978, -47841.224142433035 68101.20020907553, -47843.43091650999 68115.89560807408, -47845.985832481725 68132.9254705303, -47846.44490016521 68135.4969831823, -47846.54081140508 68136.08547152013, -47847.387816988914 68141.6080934267, -47851.87107753141 68171.20087612722, -47832.149352079236 68174.89553440892, -47830.31958474466 68175.1678602058, -47827.23076092098 68175.32919696343, -47827.15377859049 68175.32874695322, -47827.079502754954 68175.32837095525, -47827.00786721833 68175.32682571278, -47825.608979667646 68175.28929348772, -47824.94615516232 68175.24851009075, -47824.288088615955 68175.17940669817, -47823.104002010485 68175.06022585643, -47820.89606507133 68174.91004472277, -47811.17533483015 68174.24941889607, -47810.85995322176 68174.26355392007, -47810.730412830664 68174.25670068947, -47810.680294307764 68174.25336440917, -47810.50056176191 68174.24617306619, -47810.32075304826 68174.2420832958, -47810.137978684004 68174.24453352965, -47809.958208408476 68174.24675556197, -47809.77845862599 68174.25208179964, -47809.598645545426 68174.26392396422, -47809.41883500815 68174.27566274958, -47809.24194476888 68174.29058504502, -47809.062020332836 68174.31483875563, -47808.88216952424 68174.33609428698, -47808.70514235844 68174.36053068854, -47808.52535302245 68174.39109884735, -47808.34828559065 68174.42505200623, -47808.17133784987 68174.46200862549, -47807.99729245771 68174.49894116598, -47807.8201872985 68174.54230769306, -47807.784769491474 68174.55478822654, -47807.64610418027 68174.58865360034, -47807.47193981388 68174.63830784427, -47807.29789259879 68174.69106893911, -47807.12666902811 68174.74701089988, -47806.95538723508 68174.80926202067, -47806.784283351975 68174.86820745456, -47806.61591932346 68174.93374547169, -47806.44459980731 68175.00540996068, -47806.279275772205 68175.07713496947, -47806.113875569084 68175.1519615367, -47805.94849331778 68175.22999569132, -47805.78593470742 68175.31121071616, -47805.623475298366 68175.39232500589, -47805.46395160391 68175.47993377653, -47805.30435428032 68175.57054074058, -47805.14767725837 68175.66433120336, -47804.99099769682 68175.75822505807, -47804.887454731776 68175.82708763193, -47804.837355589385 68175.85840928224, -47804.77820626878 68175.89589762822, -47804.68064084197 68175.96161312031, -47804.53282138653 68176.06495676869, -47804.379044891946 68176.17455171554, -47804.23406957415 68176.28418043809, -47804.08911474545 68176.39691338158, -47803.9441753319 68176.51295729309, -47803.80212031636 68176.6257695356, -47803.66304453579 68176.75118130332, -47803.52385160612 68176.87348621732, -47803.38779278963 68177.00208413778, -47803.25442251463 68177.12754847882, -47803.12128654017 68177.2592265344, -47802.99387148228 68177.39426814122, -47802.86355915386 68177.5291270585, -47802.7390643998 68177.66735218104, -47802.61759168698 68177.80855668803, -47802.49611643968 68177.94986457705, -47802.37748532074 68178.09745754873, -47802.261947338244 68178.24513511188, -47802.1491209255 68178.39267991472, -47802.036406584164 68178.54353834948, -47801.92661762378 68178.69737352458, -47801.82274290192 68178.85457754057, -47801.71877405932 68179.0116755375, -47801.61781964076 68179.1720630692, -47801.51986677195 68179.33232577573, -47801.42173853682 68179.49579079419, -47801.32960578736 68179.65931632253, -47801.240299217636 68179.82591933198, -47801.151107257465 68179.99573258284, -47801.06781412682 68180.16560369806, -47800.98442687273 68180.33536878432, -47800.904051508325 68180.50852679447, -47800.82950641176 68180.68453408983, -47800.75205388518 68180.860772228, -47800.68340507501 68181.03694077258, -47800.61767402976 68181.21639620782, -47800.55204218754 68181.39575092215, -47800.48931269284 68181.57508153505, -47800.42940430253 68181.7576964101, -47800.3753972802 68181.94026575757, -47800.321601526695 68182.12604799481, -47800.27049431275 68182.30869665687, -47800.22540561994 68182.49440665217, -47800.18033487319 68182.68332423911, -47800.141142461216 68182.86919549071, -47800.10197054466 68183.0581709392, -47800.068506665055 68183.24709558889, -47800.03523357334 68183.43612892156, -47800.0077831317 68183.62832167419, -47799.980294250774 68183.81420261705, -47799.95876566715 68184.00945406874, -47799.94011132683 68184.20188738519, -47799.924542324065 68184.39078415072, -47799.91178934911 68184.583171941, -47799.90194380396 68184.77532888424, -47799.89509473178 68184.9675677706, -47799.891262626166 68185.16299282387, -47799.89040903745 68185.35529222435, -47799.8923586054 68185.54766828967, -47799.89730718605 68185.74002290759, -47799.908157129474 68185.9323320135, -47799.983823493545 68186.7543852522, -47800.16549228011 68187.55709465742, -47794.26299947364 68188.69227260476, -47792.056836247604 68189.06458630788, -47771.60842800249 68194.9011439589, -47729.762884468204 68202.31056799313, -47726.84651070694 68202.82287927851, -47723.76927507959 68203.36306884985, -47728.11898892368 68231.36313786074, -47678.184270903956 68239.8685789673, -47673.896651481475 68211.86875631403, -47672.92775953434 68205.62202822111, -47669.66184534936 68184.50300311994, -47668.54577631595 68177.20311256954, -47661.45316366534 68178.51201511711, -47654.28607473328 68179.83263928392, -47625.6863115493 68185.05151578828, -47610.04428090063 68187.9144814142, -47596.73243917059 68190.35690508323, -47588.02798783439 68191.95752618203, -47569.63989193251 68195.30226787039, -47568.459861021685 68195.5456986663, -47542.165736844276 68266.79698347223, -47541.45515186521 68268.68515242984, -47535.785062844065 68284.0825420984, -47520.21072700335 68326.2595838447, -47506.30563550678 68362.90471267857, -47501.87537717975 68375.25739844494, -47504.42758256335 68391.64101450452, -47507.2312217452 68409.66516379885, -47508.69189831551 68419.01005892012, -47510.149573391165 68428.35507863712, -47512.47595012152 68443.31590742327, -47512.95311270021 68446.41088068097, -47514.439318865494 68455.94507150301, -47517.10592469201 68473.0544457568, -47518.70908316427 68483.39950723985, -47519.51479274512 68488.61456734888, -47521.42466559742 68500.73595848493, -47525.53092484655 68527.1168159899, -47525.660258044554 68527.94737192208, -47353.15870208877 68558.29116591059, -47353.65051391512 68559.86409872497, -47337.386996320995 68562.66053314238, -47322.83689296547 68565.21985262971, -47308.28673089313 68567.77761485787, -47293.76757673685 68570.34491178131, -47237.54614908625 68580.21644280704, -47225.35873427875 68582.3552758509, -47213.171110642754 68584.4907899463, -47198.62100353381 68587.0501801772, -47170.79190938772 68591.9541932294, -47156.269111032154 68594.2838220529, -47155.67080036629 68594.38487370576, -47156.42768658829 68599.34679317546, -47142.45027413554 68601.68233939266, -47114.17275322418 68606.70078725037, -47099.86433351091 68609.24555597772, -47103.16915195385 68630.89452274813, -47103.89697040689 68635.7875739578, -47103.62177488885 68636.00071363943, -47096.572767399266 68641.40185859741, -47096.464602278946 68641.23750953929, -47091.61034552103 68633.95130689463, -47088.14372255934 68628.74806290427, -47073.00006261564 68606.01736421167, -47066.46106495459 68596.19397245652, -47059.5445266279 68585.83190562614, -47052.73939746262 68575.58875546933, -47033.586002471755 68590.3106218267, -47032.160963320726 68591.40477113405, -47014.698863048325 68604.81309693208, -47012.178601566135 68606.74609186113, -47003.26604381054 68613.58225990133, -46991.9220288841 68622.27615569977, -46985.75434920392 68627.02884225006, -46976.89006424544 68633.8489462677, -46957.321626091936 68648.88148293049, -46942.88345832079 68659.95013407075, -46938.19791769833 68663.54039858158, -46906.647403154064 68687.7770614403, -46899.44295139288 68682.09608562464, -46899.41358842191 68682.07076333382, -46907.17614455734 68617.76904185022, -46907.17246586797 68617.75735424036, -46907.17744716715 68617.71600515403, -46909.088114954735 68601.92159004851, -46911.61781954909 68581.00375159616, -46913.706589437614 68563.5264459123, -46907.86054991371 68562.72898499228, -46902.01456610849 68561.92531768813, -46890.15121868526 68560.41178053596, -46890.15444994035 68560.37079737538, -46890.163543448805 68560.30773183117, -46892.69759331862 68538.9806403104, -46892.70162613335 68538.94640365042, -46893.57081659051 68531.63244419418, -46894.99343343078 68519.6373977963, -46895.40208359073 68516.1999116719, -46895.61401359598 68514.43539100968, -46894.72470173918 68514.88508576404, -46876.16834133418 68524.36710851245, -46870.50707181679 68528.03463981161, -46824.51349155453 68557.6558449225, -46678.80106561687 68651.4851216647, -46651.32103480174 68669.18048188677, -46651.29743761477 68669.19607847948, -46638.062288544716 68677.67913314332, -46579.13598073888 68715.45667541631, -46552.61001250281 68732.46012099668, -46553.7560660061 68735.23842213371, -46554.252867607014 68736.43088780253, -46554.707253387045 68737.51118547368, -46556.98574828574 68742.92888894824, -46559.129017588806 68748.10256549704, -46560.57157403348 68751.58419833315, -46543.81102394251 68764.51116327931, -46531.80114912709 68773.79132794948, -46528.3254132952 68776.47323176044, -46518.45714624037 68784.08328103399, -46507.444170215305 68792.58967565767, -46500.31219357814 68798.10372135279, -46453.435472938174 68834.23381110176, -46453.25537228785 68834.30854154372, -46450.62198128066 68840.11879706616, -46450.60726144641 68840.13132600216, -46440.36863899081 68846.34296278223, -46421.807197598915 68857.4957948988, -46420.389838162824 68858.34805394939, -46418.254523650685 68859.63193031312, -46417.13719325302 68860.30752822285, -46419.040588886535 68852.37891827479, -46419.74193719368 68849.45720611751, -46420.42769364418 68846.6189689851, -46422.912062612435 68836.25893436251, -46423.7658924391 68832.79205081225, -46423.67579802397 68831.31307743116, -46419.54929510119 68762.6957478965, -46406.291666250974 68542.24348786005, -46405.922198718596 68536.40627779537, -46395.9195076639 68537.71057142338, -46367.28458042144 68541.66154722225, -46361.66683686208 68542.43834374995, -46344.40635883355 68544.78582495432, -46326.02550401404 68547.2792283178, -46317.35222063913 68548.4569584623, -46308.26677210065 68549.69054644345, -46290.82936290459 68552.06244522061, -46273.12668835169 68554.46763101827, -46257.85092836337 68556.5469493473, -46255.45631348299 68556.87307467617, -46234.745669116324 68559.69569259157, -46231.29231135977 68560.17087821639, -46188.63248052576 68565.96457146498, -46161.54909845293 68569.64869132747, -46142.117024150444 68567.0897949901, -46122.68775831977 68564.53076182358, -46101.90070755583 68561.80440113645, -46096.07222739499 68561.0323714409, -46072.63771481168 68557.9274956899, -46072.19596425102 68557.86863927603, -46036.76558065027 68578.18968863176, -45989.83334016572 68605.10408937179, -45944.8014484164 68630.92420375724, -45939.44360905052 68634.00053061428, -45925.146012373065 68642.20396421099, -45921.600033554205 68644.23286602256, -45908.90711251223 68651.49513719587, -45896.96197271261 68658.36375159748, -45879.62707445485 68673.66811717821, -45863.750184746474 68687.91050387174, -45862.27581670227 68689.22104480163, -45852.26030954557 68698.12323505974, -45846.861627629005 68702.93316530086, -45839.45985305484 68706.96747343367, -45826.40535696206 68714.07664225914, -45813.17961544084 68721.28591832955, -45792.607984282404 68732.49491748991, -45771.859359359005 68743.76630756861, -45763.06883301744 68748.54738322942, -45760.91923621558 68751.23565695668, -45736.10573221879 68782.17214529055, -45733.63592809207 68785.25605379815, -45728.861946242694 68791.2099095606, -45712.16975062155 68812.02837535564, -45709.21963432661 68815.7057880675, -45696.00801588231 68832.1648011238, -45685.65140045644 68845.09732162235, -45638.85444522492 68874.51541429362, -45609.589636284996 68892.95238920223, -45540.814098403825 68885.82793838275, -45540.72494912414 68885.81877212842, -45540.704881822014 68885.81667068675, -45539.345980338854 68885.67506607895, -45539.28037560066 68885.66819995356, -45539.1782101628 68885.657332289, -45538.88684605329 68885.61903990625, -45533.26636512838 68884.8846162143, -45472.117158427456 69043.48102707176, -45464.00142274124 69039.8926279353, -45456.39621346093 69036.52439645129, -45450.21621678098 69033.77599625412, -45428.658967118194 69024.2471396573, -45298.65940636961 68966.78603735825, -45261.3766355729 68950.310032093, -45252.743389629766 68946.50237713587, -45218.454026454405 68931.37938928876, -45209.10177000192 68927.25480465239, -45190.98906308139 68919.24427095932, -45122.27439112473 68888.85480650653, -45122.13143291433 68888.79171381744, -45118.64443022964 68887.24998754637, -45118.05949965591 68886.99136097799, -45011.01077285552 68839.61379188519, -45001.02403971481 68835.196183849, -44992.290117762874 68831.30141312678, -44985.16484465294 68828.12700040269, -44979.61866597956 68825.69479316851, -44977.82463547578 68824.91369562544, -44957.11894255083 68815.75621128375, -44937.29539419795 68806.99615459002, -44920.70057283898 68799.68798925309, -44906.54995213435 68793.39009189188, -44903.37392783313 68791.97812166552, -44901.61264426722 68791.1751588003, -44882.66823790022 68782.8206088321, -44876.20763722629 68779.9268591472, -44872.96967765933 68778.5397779583, -44863.43512010955 68774.46155523544, -44844.197094732095 68765.86917305729, -44842.35643045825 68765.0058914773, -44842.14180486333 68764.90710797206, -44835.383907203504 68761.93309900718, -44825.10578387966 68757.43505545238, -44807.926224063856 68749.80150253527, -44805.72352198682 68748.83560357134, -44787.220438756936 68740.64405388967, -44780.80380611806 68737.79143118362, -44773.85776536401 68734.69980345988, -44767.83812003226 68732.05089758697, -44753.44600834533 68725.7045467587, -44751.77275438011 68724.95240813817, -44748.602784785486 68723.53418052495, -44722.70651939279 68712.10061147592, -44713.78423995262 68708.16401094195, -44712.77265843104 68707.7082970122, -44712.14232152968 68709.36502671118, -44711.48820604396 68711.08410878011, -44711.41220820923 68711.28376315066, -44711.08163797872 68712.15241541108, -44710.05703305273 68714.84530392675, -44709.98279272895 68715.04035098941, -44709.81031986699 68715.49361928807, -44707.43757740469 68721.72930903792, -44707.12779210724 68722.54328594227, -44705.81583240018 68725.9914862628, -44702.96412796082 68733.48623477644, -44699.896630756084 68741.54789904495, -44696.517687263826 68750.42814975626, -44696.51263089849 68750.44104650585, -44696.46609113695 68750.56371005623, -44696.42120714472 68750.68197042293, -44696.292074369994 68751.02076380132, -44696.167260385046 68751.34912313815, -44696.11628485329 68751.48304517336, -44696.03686863834 68751.69191676554, -44696.029947939045 68751.70983170984, -44696.02249822351 68751.72959434122, -44695.94773902998 68751.92607552744, -44695.891068758334 68752.07525626391, -44695.79594427512 68752.3250793356, -44695.777440775535 68752.37350641545, -44695.68902080767 68752.60633970983, -44695.59730707106 68752.84725567338, -44695.485518025176 68753.14152148017, -44695.33359866721 68753.54165987622, -44695.242411407264 68753.78083152622, -44695.16426686018 68753.98518595927, -44677.41135938578 68800.25831154746, -44675.991154571944 68803.89586679978, -44674.555767632424 68807.56476657312, -44659.80789840682 68846.14125626053, -44647.80701693583 68877.55614734492, -44644.735543350995 68885.45279024217, -44625.78484571297 68877.11805202448, -44607.905662961166 68869.1184851803, -44605.45893452286 68868.03788398254, -44588.96415628244 68860.76401912661, -44569.57901284301 68852.16761477196, -44550.490506879505 68843.73348100219, -44529.19659071748 68834.33345993965, -44507.46456561128 68824.69485690459, -44485.879641287094 68815.13579886922, -44463.55948348481 68805.25480294572, -44441.9743676769 68795.6957220793, -44431.10550282381 68790.87642935656, -44422.79180215381 68787.23589464049, -44420.09510927706 68786.05004818711, -44401.76724797519 68777.96280000744, -44399.53627785611 68776.97821243918, -44399.29580052063 68776.8726148069, -44396.620701910484 68775.70546366088, -44388.570825997806 68772.19267986996, -44386.3159477678 68771.20878135467, -44384.416404227486 68770.37987297488, -44383.698083309355 68770.06637223001, -44383.19862809876 68769.84835896785, -44379.36355987492 68768.17476165284, -44379.064019534875 68768.04406076543, -44378.750127423715 68767.90696612089, -44373.62569727437 68765.67071783212, -44372.527642167144 68765.19141927165, -44371.787211104376 68764.86841520808, -44371.25732517296 68764.63704969258, -44371.272718090586 68764.59712421572, -44371.319074928586 68764.47797338676, -44371.39633203875 68764.27825055562, -44371.457155975 68764.12142488573, -44371.50610456835 68763.99520670764, -44371.567350703284 68763.8369442375, -44371.60700046845 68763.73488653102, -44371.66411604748 68763.58727015754, -44371.71274926137 68763.46207788438, -44371.7442523559 68763.38059131143, -44371.859231404174 68763.08641358853, -44372.09588864738 68762.47341260636, -44372.609038750525 68761.14959966535, -44373.23538483229 68759.53331886094, -44373.98688873264 68757.59437886218, -44374.04513869029 68757.443896829, -44374.64184346597 68755.90418776785, -44376.09731283057 68752.2447427988, -44376.59906296786 68751.01093342817, -44376.60566575831 68750.9941478034, -44377.67579063166 68748.39738134669, -44378.55167621508 68746.26187225625, -44383.09020460841 68736.05340661838, -44387.959190897665 68726.02035355804, -44393.59009584789 68715.34503793309, -44399.602762361654 68704.91047594328, -44405.988196511054 68694.73235297903, -44408.81734077061 68690.44379143602, -44413.82297034562 68683.19172679953, -44413.8439063739 68683.16240217927, -44415.5714486922 68680.76356191609, -44416.07056116777 68680.07023147543, -44416.12332986231 68679.99719030801, -44416.3793950691 68679.64149600382, -44416.42984659824 68679.5722191541, -44416.48375997746 68679.4998300803, -44416.66694499545 68679.25624893306, -44416.87733089341 68678.97637649486, -44417.0494208721 68678.74738874183, -44417.14431111254 68678.62129172229, -44417.24470562436 68678.48768990395, -44417.330596735635 68678.37355390757, -44417.4307953848 68678.24005018307, -44417.44169456218 68678.2255548685, -44417.49318650058 68678.15723762145, -44417.51578607199 68678.12713095563, -44418.424723959164 68676.9180342564, -44419.19907417707 68675.88784648165, -44419.25776440429 68675.81000177765, -44419.58314233148 68675.37716772105, -44420.05860840092 68674.74474477618, -44420.08440524011 68674.71048408418, -44420.373288089606 68674.32610116636, -44420.6850681111 68673.91130937038, -44420.86495158154 68673.67218972863, -44420.93874548798 68673.57406802244, -44421.11133400612 68673.34447319355, -44421.317818073396 68673.069873434, -44421.336116478175 68673.04554580747, -44421.50420542869 68672.8219314781, -44421.65369836799 68672.62294699186, -44421.848983120086 68672.36324814409, -44421.8992795722 68672.29634649062, -44421.90956322731 68672.28328268102, -44422.204830898205 68671.90279912134, -44422.2604638482 68671.83128482364, -44422.33718042874 68671.73231212412, -44422.46023068525 68671.57419173168, -44422.57450814591 68671.42669365172, -44422.792456714684 68671.15395993643, -44423.17246139571 68670.67875825582, -44423.616635321916 68670.1231722052, -44424.24102647141 68669.34244204518, -44424.32075984699 68669.24272439403, -44424.41965395397 68669.1190131061, -44424.45918613778 68669.068989934, -44424.53294717915 68668.97614352226, -44424.59199372113 68668.90348131134, -44424.62682031898 68668.85995027346, -44424.660754116834 68668.81732585278, -44424.84586516704 68668.5859016855, -44424.971395576664 68668.42919418166, -44425.03506374355 68668.34952026531, -44425.13585281151 68668.2234814557, -44425.51595923087 68667.74807563389, -44425.5915007964 68667.65362273618, -44425.931088102014 68667.22904067472, -44425.902753730115 68667.22485005029, -44426.29520429717 68666.73912670164, -44427.50651056633 68665.25029901875, -44427.56862977288 68665.17461737945, -44427.80623029077 68664.88545569152, -44427.91122655368 68664.75746308372, -44427.93256207208 68664.73156342105, -44428.22795015439 68664.37373974288, -44428.7261121505 68663.7702854189, -44429.51408161414 68662.81568246707, -44429.544187389394 68662.77926387111, -44430.02619767531 68662.19543707714, -44430.39485094497 68661.74920194264, -44430.92889517733 68661.1025558403, -44431.30672565917 68660.64498528565, -44432.216608749586 68659.54309348499, -44432.27532213077 68659.47218087582, -44435.01981570397 68656.14891108774, -44438.23993512973 68652.24970875809, -44439.023013271566 68651.30128233481, -44439.24552025407 68651.03198404307, -44441.363955643654 68648.46674193755, -44444.93130111151 68644.1469941784, -44451.29168910548 68636.44519879829, -44454.77100377418 68632.23218243649, -44457.06828293103 68629.45044799034, -44461.59964092623 68623.9633549893, -44462.98345061196 68622.28775942487, -44464.56295286045 68620.3752360428, -44470.343537168075 68613.37552371062, -44473.30197038359 68609.79306398176, -44474.82744444574 68607.94578786177, -44477.83052754631 68604.30972052146, -44478.66414892887 68603.30008853255, -44471.79468934226 68600.25293734085, -44453.89449018814 68592.29432828406, -44400.59043812181 68568.75449332755, -44409.606493746425 68545.37117108222, -44412.081341298595 68538.88906730551, -44418.358103073784 68522.44055860525, -44426.87539374304 68500.42933935192, -44427.284145424404 68499.37847457756, -44431.83993044129 68487.60116508561, -44432.945490808015 68484.74310917253, -44438.53265324751 68470.21775118877, -44443.472321311994 68457.43327564349, -44443.580615885556 68457.15132897084, -44443.70327580549 68456.83191153471, -44443.76972569847 68456.65868709343, -44443.789048211715 68456.60842032396, -44443.85126327806 68456.44614948981, -44443.914816200355 68456.28060476316, -44444.020262058475 68456.00437348579, -44445.21452601183 68452.88224849975, -44445.77219268728 68451.42361095108, -44445.83556245053 68451.25764738972, -44446.50908755173 68449.48871690876, -44446.73986126404 68448.8828992537, -44446.876253072325 68448.52423492634, -44446.98202954046 68448.2463574264, -44451.28963482805 68436.84626758748, -44455.926776246604 68424.93855526242, -44458.78322600919 68417.49091304743, -44465.141006032005 68400.83511935704, -44474.15744414345 68377.37295653255, -44483.468750576976 68353.29452223233, -44492.967597009105 68328.8069916107, -44501.086284585515 68307.53166893798, -44504.36028594462 68299.04498501107, -44516.18513232158 68268.31085836714, -44517.241674163364 68265.57001545143, -44528.19511585255 68237.07642381197, -44528.39480018015 68236.59824457667, -44529.74082313963 68233.1021477233, -44531.85394176199 68227.61115095683, -44540.10025509711 68206.18816835587, -44540.80759985994 68204.33791604362, -44548.6569551522 68183.93456691374, -44560.32955903711 68153.60955396129, -44568.545921183424 68132.2717141982, -44571.33947726229 68125.02169589783, -44576.06695341469 68112.75569420103, -44589.64959808562 68077.46524296624, -44590.834368963886 68074.39085542358, -44592.23124207293 68070.76589965538, -44597.34969098706 68057.46788672991, -44612.25456054854 68018.74429862858, -44623.368892701386 67989.86681664066, -44646.82148985597 67928.94324245826, -44651.701293069666 67916.26820457041, -44655.03496253417 67907.60850816099, -44656.42872108645 67903.98036054539, -44656.86348305496 67902.85106251687, -44676.67588906026 67851.38612579233, -44685.46834114075 67828.54397795256, -44714.50446268447 67753.24962012218, -44718.715508159265 67742.33049997072, -44720.06740419161 67738.83145231103, -44721.43742942261 67735.27558729131, -44736.784844283226 67695.21128926316, -44751.03103033002 67658.02958488803, -44758.04073078387 67640.01481637302, -44765.33510928286 67621.06226767162, -44772.626376151566 67602.10642490633, -44780.7771648983 67580.92895076728, -44781.060663364406 67580.19277364833, -44771.69447462902 67576.04589091513, -44757.72739396544 67569.86552578393, -44743.35142938665 67563.51297604357, -44742.62513550077 67563.1972949149, -44736.911174917266 67560.66972804544, -44730.83854581144 67557.98904641063, -44718.86377326377 67552.68842572658, -44715.94944470444 67551.40061977528, -44690.10600550295 67539.9612092071, -44656.64905406791 67525.17772398399, -44654.97872033607 67524.44469605558, -44646.10934774972 67520.52090341547, -44633.50517170263 67514.94913596378, -44632.530317016375 67514.51832392094, -44616.74289259484 67507.54160617094, -44600.32462541332 67500.27747356604, -44586.69708752373 67494.26900111912, -44572.275711108276 67487.87522753824, -44551.278589002395 67478.59018774949, -44526.84736707866 67467.79171925788, -44519.65756410544 67464.61484692025))\",\n          \"POLYGON ((-67700.96962797137 62621.45419221469, -68030.71972629981 62902.293146351665, -68095.30752960165 62902.261804569636, -68174.39662755473 62945.806663669995, -68408.75182698267 63108.55604484001, -68094.12855075901 63327.89198472205, -67836.10384678285 63552.95121929003, -67629.9255773919 63838.991033145896, -67426.55449072758 64134.60743807495, -67247.69130586827 64340.37900590044, -67088.59448968466 64212.88073149144, -66744.83204239559 63906.46525125548, -67175.3483155856 63330.506500670475, -67700.96962797137 62621.45419221469))\",\n          \"POLYGON ((-54215.045204868045 65709.74087105457, -54214.80078440529 65662.49140873477, -54214.663023889276 65649.68898154925, -54214.456723410076 65592.88282224644, -54214.45378240547 65591.66279581064, -54216.50345652073 65585.94942307279, -54219.14716022553 65580.5219357086, -54222.35047147941 65575.45078047935, -54226.07182787829 65570.80176109134, -54230.26283690991 65566.63521903373, -54234.86935953629 65563.00523540363, -54252.87415175971 65551.32515903637, -54252.79523335602 65551.18293124305, -54257.741267827354 65547.97818564708, -54260.54493654991 65529.054324865356, -54214.267175372755 65529.01803761773, -54214.2140765166 65529.02579910695, -54210.437641737226 65519.30470282928, -54206.61641001912 65510.26984752726, -54206.61609161514 65509.78628812563, -54206.56074521168 65461.300386032715, -54206.530748006655 65431.79272853799, -54206.5098512944 65415.55710107419, -54206.52357642659 65399.79458667757, -54206.497653117876 65395.065759029545, -54206.47510885362 65379.14552117318, -54206.486802771484 65363.446058081965, -54206.460778547946 65347.65183662904, -54206.3985640988 65329.58443636498, -54206.39014822566 65327.093930302624, -54206.33733331437 65311.33115269382, -54206.33287482484 65297.14490471095, -54206.2989795861 65282.936335910665, -54206.268929362115 65264.29542421549, -54206.24861253215 65248.532701899174, -54206.229843293986 65239.10667062581, -54206.23070898425 65232.8017021738, -54206.19994524256 65213.7918467437, -54206.19686646789 65208.97166742501, -54206.18496402615 65196.929018728995, -54206.172922756385 65180.05675226605, -54206.17143453535 65179.75089724061, -54206.156180494385 65163.569108246644, -54206.13798982428 65150.95904054095, -54206.10925921257 65139.92514069208, -54206.119995021385 65138.34887437038, -54206.064080277676 65112.34039147213, -54200.73157120779 65093.247185424545, -54200.881345752096 65033.54728010771, -54195.97738290936 65033.536736670794, -54191.07053573195 65033.52942481931, -54191.2665407512 64971.583509328084, -54191.0262762044 64957.39300187355, -54190.96840343001 64894.342705690375, -54193.91531207241 64894.366163613755, -54206.49932850579 64894.37522617165, -54206.47230387836 64860.64021238376, -54206.479374314506 64844.691692094464, -54206.43252964037 64795.071252615446, -54206.441610375936 64779.308798039, -54206.375285694114 64698.633032207144, -54206.45520898323 64687.566285224755, -54278.155792144025 64686.46550222243, -54278.114562556184 64681.59968930113, -54278.12028545406 64680.08184082625, -54278.39777257787 64605.629794991444, -54278.52919973786 64376.207822261254, -54278.54109353067 64323.02747153558, -54278.687557481215 64165.904678021194, -54278.81602330449 64026.712605940214, -54278.84880738455 63866.0088067894, -54278.28185247948 63846.50032890021, -54278.385495438495 63814.97613255899, -54278.63159701352 63783.84666967195, -54278.58371240758 63771.315314356696, -54278.77651275091 63728.75790795604, -54278.81432331765 63724.02935097807, -54278.84458907014 63720.24658859189, -54279.077810419156 63672.40896121305, -54279.48894366169 63638.8748068779, -54279.491998928825 63638.83702522909, -54279.52574591546 63634.34496022086, -54279.58935764453 63608.02204077484, -54279.52860934309 63596.909331039365, -54279.63969553247 63564.43952733066, -54279.586096751416 63555.43151049945, -54279.549803089394 63546.73516000604, -54279.558097607995 63543.01211264922, -54279.596184102214 63521.62261400842, -54279.61409358656 63504.93287580667, -54279.61582063814 63502.900014853614, -54279.6464764568 63480.7216678688, -54279.63411841692 63477.292286111624, -54279.59227134474 63459.380139576206, -54279.659260180335 63432.348215713966, -54279.71885208596 63411.453920381195, -54279.722921923036 63410.07041204264, -54279.77124042387 63399.72375853901, -54279.76083276354 63363.782480416005, -54279.81397310103 63324.936853467996, -54279.8217302608 63319.257438358625, -54279.8293535293 63311.69191467536, -54279.84182925044 63299.31406394726, -54279.85086710507 63290.32740445601, -54279.854301857406 63286.234885095975, -54279.85917162965 63280.16080999516, -54279.86012817297 63279.38491659933, -54279.88370677185 63255.80826299987, -54279.849099385065 63251.429272450725, -54279.811163501574 63246.508082136344, -54279.888620936734 63236.65694487256, -54279.89942097263 63212.099489206485, -54279.911325361565 63184.86855379525, -54279.913135008515 63177.236450935714, -54279.92740839282 63158.318574238, -54279.92527949952 63157.84572256173, -54279.990409637576 63112.45071181622, -54279.99208942243 63075.24850940068, -54280.00411864576 63074.30128375145, -54279.97775003392 63066.11481885002, -54279.967426215284 63057.96034481616, -54279.96764375065 63057.93965954575, -54280.002414256924 63055.624537532356, -54279.96427193555 63023.548110854346, -54279.96289743014 63023.22973937415, -54280.07155990328 62972.5577834591, -54279.999770408074 62963.09684696422, -54280.14286374539 62929.53972133114, -54280.1686825615 62923.06532015252, -54280.169741302045 62904.70159765773, -54262.588368573146 62891.556691886784, -54229.77821924892 62867.0057809594, -54228.897145177856 62866.36798180372, -54213.076117116645 62854.493435543125, -54208.97705752539 62851.38778575821, -54196.96359640684 62842.53873361117, -54195.48249780039 62843.47119439886, -54170.7534958027 62858.5583132963, -54169.82058221138 62857.18735693157, -54168.704043604026 62855.98365390244, -54167.429895675894 62854.97491472249, -54166.02725966327 62854.184485912934, -54164.5287693168 62853.630533379874, -54162.968927664944 62853.32599768966, -54161.383738147015 62853.27785981974, -54159.575545839645 62853.53929283802, -54157.83670306405 62854.13181156083, -54156.219882974416 62855.0374007889, -54154.77382822736 62856.228730738236, -54153.881608736236 62857.25482035285, -54152.84105024962 62858.1060640905, -54151.681668048026 62858.75822942455, -54145.192679381726 62829.658613088395, -54143.628882118675 62822.78844275035, -54129.13868092882 62828.65899488161, -54128.40045363023 62828.96756890895, -54115.53687900586 62834.29747854548, -54104.59922679054 62838.70321402196, -54101.34517003988 62840.018175549514, -54083.899056928174 62847.12313542736, -54080.20463118238 62848.666016326, -54063.76001763285 62859.486246914945, -54061.16053491838 62861.32752058948, -54060.35315581357 62861.90381663931, -54056.00113689479 62864.761505850554, -54053.24275709785 62866.570414754155, -54042.72270908292 62873.578981708975, -54037.601673074845 62876.99083589783, -54029.117757517306 62882.647959527, -54028.94740479134 62882.76312171014, -54022.13221199883 62887.27977885293, -54007.51664432786 62890.46706291942, -53993.19877716054 62893.6589342768, -53984.194991193726 62895.55181729779, -53980.15022929564 62896.45634340096, -53978.73110364708 62896.77119863899, -53964.26575182622 62899.962252489815, -53953.1935262638 62902.3908687473, -53950.73905263208 62902.883606485135, -53949.798072891994 62903.074716064715, -53935.48059470779 62906.18764615882, -53921.16313434849 62909.30378018361, -53919.88536325293 62909.62879507981, -53919.0916624759 62909.833019980135, -53909.70993793128 62911.85350310902, -53906.400899800865 62912.571152259625, -53892.08238299525 62915.679076960325, -53877.61422445907 62918.87013519014, -53861.29581185264 62914.086161817504, -53846.29947885155 62909.54821309745, -53855.97503148522 62897.41298741911, -53835.77727024505 62880.14275068217, -53798.60101309423 62848.38849651784, -53770.20638023174 62824.03684084163, -53764.351464430794 62819.025048107884, -53757.762810909735 62813.39808375325, -53748.11562377598 62805.15943580722, -53735.385652939185 62794.28040533467, -53735.36938071547 62794.273444311904, -53731.27829131447 62790.76439374673, -53726.77033588753 62786.90009852359, -53712.536243648385 62774.695679581484, -53699.80150582687 62763.87299728015, -53699.364364419256 62763.47685250655, -53686.83241782046 62752.77794183167, -53673.895361534975 62741.74924337691, -53668.77391434162 62737.37153687618, -53665.90086915226 62734.86742748539, -53661.74844905003 62731.244450608145, -53649.89130376343 62721.13840626004, -53648.08357959987 62719.62721935298, -53647.22924630622 62718.912754075, -53646.08741664696 62717.95530065822, -53638.03725970878 62711.032133250126, -53635.401582544655 62708.803578198174, -53629.94408885268 62704.13934678079, -53626.467235548946 62701.17257888276, -53623.19242812114 62698.38356969462, -53613.58651145811 62690.185747597076, -53593.42075838754 62672.97556637548, -53592.22623858792 62671.95801661059, -53579.857593224566 62661.40381495849, -53586.29732987125 62646.87722700651, -53646.795497233485 62510.42793600138, -53655.121050583664 62491.64976640848, -53658.467957545174 62484.10102558834, -53677.629188584295 62463.24301292027, -53708.75836680868 62429.35743650717, -53761.17915180489 62372.29503070268, -53768.54981041411 62364.27188615598, -53798.609161922905 62346.48157585984, -53805.893445349706 62342.170458709574, -54147.67481024329 62139.89169338467, -54127.85616801297 62133.760433465744, -53895.67366267667 62055.77010265515, -53895.810791042124 62038.526965292745, -53896.33382944139 61972.83845054707, -53896.33541628471 61972.61223502639, -53896.985419435376 61890.528115391695, -53896.994947071886 61889.32817915582, -53765.749493098905 61845.464613942546, -53765.45828940429 61845.368743192346, -53516.13416973622 61762.06648612888, -53231.039832854745 61666.803833896534, -52959.01267601897 61578.263491259524, -53110.04535520572 61531.98095680958, -53127.55284845423 61526.83090332658, -53181.06150475198 61541.8288137172, -53203.52046026957 61548.12652104711, -53327.94304887159 61585.08862899661, -53369.918762833026 61564.901823426764, -53381.930716383795 61559.51452078475, -53421.85877155127 61542.50416438134, -53457.58130679236 61373.0862894927, -53457.62656712663 61372.88164457793, -53485.891454246244 61238.82693224281, -53493.52412548474 61202.62921849464, -53506.1253731538 61199.74151613273, -53518.72961965659 61196.853789156725, -53518.96294877579 61196.80127987058, -53546.516641210044 61190.48842600206, -53570.41767799173 61185.10077543319, -53577.672661254626 61183.464366182125, -53588.93426705698 61180.90441578941, -53600.40862384801 61178.29491034132, -53611.94167778722 61175.63868757656, -53623.4778323188 61172.98223651113, -53634.66294136516 61170.40601917122, -53646.47683120271 61167.6848140348, -53657.68791420047 61165.21285952669, -53669.498613145064 61162.47583717428, -53680.75161266872 61159.86845753128, -53692.491326445444 61157.14677359693, -53704.30512065428 61154.40972469019, -53714.93559874022 61151.94449457532, -53721.17252629036 61150.577561882645, -53723.82571328337 61149.98027241889, -53733.86590013651 61147.55782416284, -53745.88750963555 61149.87830717814, -53757.6268771048 61152.14371563585, -53769.651371179985 61154.460961440454, -53770.9461726309 61154.71080295571, -53780.15419032258 61156.48731811796, -53791.781353819024 61158.733213097556, -53803.41448722878 61160.97626802575, -53813.53136872058 61162.928168811806, -53823.659971654284 61164.8832838373, -53834.409871962074 61166.95495014611, -53846.06064897744 61169.20427025042, -53857.69380855537 61171.45021122353, -53869.200407157274 61173.670459057255, -53892.187010781774 61178.110740410746, -53910.08427641381 61133.49116399548, -53927.38197705411 61090.37574502657, -53940.64310058612 61057.31309570205, -53940.77435964728 61056.985817440844, -53978.18020521723 60963.7383098408, -54046.29858390296 60903.61676944218, -54106.046865988275 60821.20270197793, -54201.70288331514 60689.273828476325, -54213.295404563105 60673.27031428804, -54227.48108273497 60653.70444047735, -54264.87554830334 60602.0780498658, -54302.66624623855 60646.276906614105, -54335.39307884068 60684.55689298865, -54374.81306725545 60730.664346482874, -54409.7026577616 60771.470095396304, -54454.681604352634 60824.08201353, -54553.21031593176 60939.437281378996, -54576.26669242666 60966.43320031783, -54604.87911690301 60999.93364125066, -54610.85079160757 61006.92652761328, -54616.826231352316 61013.92365398855, -54643.71839710116 61045.40773449024, -54657.74924336537 61061.82879358491, -54669.69337750191 61075.82212584342, -54681.962992649635 61090.185689665195, -54693.91310565517 61104.17586797039, -54705.79581285627 61118.086822710764, -54717.74594783099 61132.08009925051, -54729.69606300016 61146.070268530064, -54741.57879288417 61159.984318570554, -54753.6962800485 61174.11084180589, -54775.7183340881 61199.85668468324, -54785.526304665254 61211.33681323834, -54799.34234715251 61227.426405234655, -54813.6467233773 61244.179096585685, -54824.75279221286 61257.18174049448, -54843.9176882998 61279.607138492815, -54848.77035214759 61285.2885357448, -54858.9682119929 61297.218228079815, -54860.13018442241 61298.5647898657, -54887.31021779208 61330.419803045676, -54903.10417330854 61348.90142376558, -54908.866580413654 61355.644625739515, -54915.173368688054 61363.025452916314, -54916.9291601272 61365.08009378855, -54918.685228868075 61367.13525942957, -54925.49928131469 61375.10935250712, -54948.093625979396 61374.980333361345, -55178.35388233874 61373.64904391361, -55209.231558255735 61373.46830568189, -55237.86103105141 61373.30157711366, -55245.75541162431 61373.254888436015, -55248.196190022245 61373.240929453765, -55460.00668361785 61372.06257653023, -55609.65790958584 61371.1743946863, -55810.91298137669 61369.98952386024, -56007.611638066344 61368.85740948519, -56127.025504087156 61368.15681207057, -56261.64211716352 61367.39642759284, -56356.93948596455 61366.8293218152, -56418.23862712938 61366.46921577894, -56444.14086216676 61366.32236260806, -56463.06138765132 61366.21500384024, -56464.099962700835 61366.208898750614, -56550.391459096696 61365.721516168494, -56735.14804152836 61364.64198784354, -56769.03106656411 61364.45063782194, -56796.88960574154 61364.332392210956, -56961.33529075515 61363.35054358936, -57055.952048824096 61362.851984379144, -57214.12753136072 61361.956034368464, -57226.449832786275 61361.896886824245, -57305.97683812418 61361.27951175625, -57404.276805455556 61360.75393501265, -57509.969759273336 61360.14096017409, -57601.68409018929 61359.37523946293, -57615.58676572891 61359.26449331861, -57658.4400554473 61358.953628101575, -57690.443272775265 61358.71384502504, -57731.4314216278 61357.99770039319, -57744.211105163784 61357.88423944328, -57744.67770586627 61357.880053768575, -57772.6767391773 61357.58584613629, -57800.11471459471 61356.89597201992, -57801.85855709293 61356.85210259065, -57802.20536852549 61357.06657559136, -57805.0677851724 61358.8374076144, -57827.44567076952 61372.68128096603, -57842.23398119861 61381.49374617258, -57857.02220314678 61390.30589445923, -57865.889677193 61395.59019843113, -57871.81041551896 61399.11845217115, -57875.998159753944 61401.61378844339, -57879.67188415712 61403.80289555457, -57884.89452369424 61406.91511673729, -57890.11735916081 61410.02723927954, -57893.54798939058 61412.07162697421, -57894.0536174342 61412.372972151104, -57901.38685466074 61416.74303829284, -57911.7146915825 61422.89734905941, -57916.174979695046 61425.55527084665, -57922.9899136973 61429.61629926722, -57930.96329354221 61434.367711301726, -57937.73189832353 61438.401097849186, -57941.47273278053 61440.63030265372, -57960.53983390478 61451.99226705094, -57988.42787190742 61469.29357029286, -58002.97735073178 61478.319967692514, -58003.92507052363 61478.90644607011, -58012.15452799884 61483.82143513846, -58037.33183505464 61498.85828426686, -58040.92216590307 61500.91413914214, -58045.79777669427 61503.7656221378, -58050.876771817966 61506.783710964024, -58051.09136085796 61506.911515153624, -58054.470648911774 61508.91973640234, -58065.82555003683 61505.07897142666, -58084.01012617327 61498.87218550371, -58103.61430891891 61492.11373760434, -58111.78064093812 61485.410100515044, -58112.712774574706 61484.64501487722, -58117.62802860457 61480.61027832323, -58123.47551788737 61475.81025130476, -58129.3228061295 61471.01052854935, -58141.01758573539 61461.41067276209, -58152.885504751255 61451.668712886465, -58161.88791548696 61444.27910288711, -58164.40733435348 61442.21106191134, -58170.25462687299 61437.41112776788, -58176.78470395922 61432.05090129121, -58183.19741532025 61426.786907540605, -58184.54117651089 61425.6839399582, -58193.171582068804 61436.79078827225, -58194.60043501338 61438.62963473803, -58204.1896566662 61450.97058339159, -58209.827446940035 61458.217609690306, -58221.082407330156 61472.684822233605, -58221.83797470882 61473.65610778648, -58225.62785442541 61478.49082630873, -58227.51396780374 61480.92692993969, -58231.82726720574 61486.49292020878, -58257.01306505279 61518.994349820925, -58257.28345652878 61519.343203031625, -58260.751266543484 61524.78421828445, -58263.27278160368 61528.7410047966, -58265.421568114645 61532.112554216474, -58267.36535737583 61535.16247678795, -58267.847887252654 61535.735074114236, -58283.03836033026 61553.7652225882, -58283.15193797772 61553.96528810898, -58286.018657824614 61559.01018752464, -58289.01304639125 61564.28005408033, -58294.99218211196 61574.80276475473, -58295.675905739525 61575.53270004412, -58297.75866094647 61577.755848937646, -58303.91304113605 61584.32539281756, -58309.58690503227 61590.38219142371, -58310.37318113924 61591.22147176318, -58314.12462561888 61595.22593730343, -58316.286082389546 61597.53316027618, -58316.995730365335 61598.29059452541, -58323.20854824668 61604.92255537949, -58324.533582195734 61606.33709738772, -58324.713424192436 61606.52892728217, -58324.72838449665 61608.434273173414, -58324.72924154195 61608.54520153141, -58324.72945927843 61608.56786435726, -58330.92189768839 61614.06725262611, -58335.05066498375 61617.55909674907, -58335.3643386075 61617.81932501513, -58335.83017343191 61618.18538340051, -58335.88815666783 61618.2308236437, -58338.316393790934 61620.13922559697, -58339.69179016165 61621.21993683587, -58340.24018129034 61621.65093184865, -58340.463182996056 61621.82613940834, -58342.60190077241 61623.50693691211, -58342.8524187072 61623.703893402424, -58343.59942673115 61624.29081152114, -58344.09847334683 61624.68301516063, -58345.379734103495 61625.68978478542, -58346.017035946104 61626.19085486824, -58346.294126355235 61626.40860354448, -58346.41132148865 61626.5006553997, -58346.8130964029 61626.785105647126, -58348.41992891274 61627.92196822805, -58348.65523118683 61628.0886125971, -58356.39625880139 61633.56653437284, -58356.95528770625 61633.962125724465, -58357.33871940965 61634.23335258139, -58357.382563969215 61634.263718026574, -58357.424299788414 61634.293301996964, -58357.519645812165 61634.3612758576, -58357.72632802224 61634.50779656686, -58357.79630488128 61634.55718348588, -58357.84126876529 61634.58923463248, -58358.01779904805 61634.707106712565, -58358.03121491864 61634.716161397635, -58358.58834202661 61635.08676812613, -58359.33286890768 61635.5816460537, -58359.48343484483 61635.68153577265, -58359.711595966524 61635.831743505965, -58360.07920414642 61636.073779766215, -58361.57262427895 61637.04720460387, -58369.634700109935 61642.070877227736, -58372.78844711869 61643.93256279621, -58381.75514546483 61648.92214249338, -58386.003702268565 61651.13489600702, -58390.22931073724 61653.24222480026, -58392.0979134855 61654.1450389196, -58392.14638702072 61654.16808120612, -58392.34744688179 61654.26385898784, -58392.5317740182 61654.35173349013, -58392.59411094057 61654.38135965287, -58392.64669516164 61654.40637578714, -58392.786951964816 61654.47308635281, -58393.02052083494 61654.58423090412, -58393.116328284246 61654.629456856, -58393.174656248586 61654.65690502554, -58393.38444107663 61654.7558165368, -58393.428137456314 61654.776453036466, -58393.69252366137 61654.90095274439, -58393.81835995408 61654.960133187655, -58394.17578600669 61655.128335303074, -58396.30565359891 61656.113354074005, -58396.34745738025 61656.13228386671, -58396.7140074553 61656.29918192379, -58396.97858164331 61656.419962297776, -58397.2937048716 61656.56197909817, -58397.32412542353 61656.57573730278, -58397.64985606788 61656.72300808617, -58397.6659324736 61656.73006590124, -58397.75930795313 61656.77191520032, -58397.81536429894 61656.79733599567, -58398.20521485206 61656.972522595126, -58398.2654937633 61656.99929954203, -58398.60752710873 61657.15228934767, -58398.75429306344 61657.21783174235, -58398.77199491442 61657.22565788535, -58398.80002435571 61657.23831658351, -58398.96851380477 61657.3133461986, -58398.9885126519 61657.32216582474, -58399.22723463757 61657.42827749078, -58399.43401235472 61657.51965846751, -58399.89685264687 61657.72393288776, -58400.09254725978 61657.80973658572, -58400.2466111226 61657.877442845274, -58400.398772234745 61657.94385594864, -58400.6650860306 61658.0607522173, -58401.29826471193 61658.335657811906, -58401.46890856773 61658.40960790215, -58401.64807899409 61658.48689325018, -58401.755465262155 61658.533261297394, -58401.78331913899 61658.54519104168, -58401.90094901314 61658.59587209268, -58401.92372814873 61658.605698341766, -58402.01063988056 61658.642923467065, -58402.288779346 61658.76272730311, -58402.5198418942 61658.86169936957, -58402.55066430743 61658.8748477494, -58402.67156030065 61658.92644514712, -58402.69692640421 61658.93727275926, -58402.99597016509 61659.06447242362, -58403.04019296157 61659.08336445961, -58403.06986814553 61659.09596439552, -58403.301622529914 61659.19433451428, -58403.37820413872 61659.22683047493, -58403.49576272232 61659.27647502193, -58403.5816391074 61659.31253401704, -58403.80470404131 61659.40632297719, -58404.02038709166 61659.49742850551, -58404.11152646609 61659.53580301549, -58404.15230757945 61659.55304973389, -58404.2424014568 61659.590671654514, -58404.46078589451 61659.682057466256, -58405.179255142626 61659.981418999334, -58405.90171278959 61660.279854283406, -58405.971617036834 61660.30854793031, -58406.70755116838 61660.60962523564, -58406.721152483435 61660.61506398153, -58406.86690312178 61660.67468177248, -58406.88777951143 61660.68321486678, -58409.96458672022 61661.91203612202, -58414.60688528684 61663.68410125307, -58415.31219609323 61663.944205754706, -58417.103202890576 61664.595685623084, -58418.000279211 61664.916450615674, -58418.03920831834 61664.9303364326, -58418.085717696085 61664.946704148875, -58418.89830917943 61665.23382745, -58418.97646243804 61665.261400177056, -58419.06938961286 61665.29392620712, -58419.19703346976 61665.33856834755, -58419.79747595839 61665.548234906964, -58420.711599557006 61665.8640831183, -58421.626768389775 61666.176752546955, -58424.37810609465 61667.093917505474, -58424.47943247523 61667.12708546203, -58425.297392162945 61667.39252519017, -58425.34805789139 61667.40900577863, -58425.4326058846 61667.43613143275, -58426.217430951554 61667.68804961837, -58427.13832418893 61667.9802866319, -58429.906822426885 61668.836671280675, -58430.83173370997 61669.11494731082, -58430.903840300394 61669.13666570893, -58431.757517196194 61669.3892122224, -58431.849416367266 61669.41633058434, -58431.992693394124 61669.458500488356, -58432.048008914506 61669.47469353238, -58432.14731025976 61669.50366822181, -58432.87361324608 61669.71633891715, -58432.90607352603 61669.7258073385, -58432.93459868446 61669.73403086173, -58432.98185316801 61669.74762548317, -58433.70661188071 61669.95621944311, -58434.13478680394 61670.07927010606, -58434.23631131599 61670.108305168, -58434.442158377504 61670.166658198184, -58434.839358423 61670.27883239044, -58435.23866975442 61670.39168464572, -58436.55541984895 61670.75622857467, -58437.13726227771 61670.915834270425, -58437.166278337965 61670.923760771795, -58437.39312608991 61670.98558089811, -58437.48959868669 61671.011581985564, -58437.63806460983 61671.0512029317, -58437.91190223638 61671.125575924074, -58438.11051734972 61671.179077013716, -58438.3514139356 61671.24386508133, -58439.47185246314 61671.53986579507, -58439.91460211351 61671.65627721, -58440.062612644186 61671.69474775743, -58440.218890208635 61671.735305036134, -58440.25474117281 61671.74455516815, -58440.32586061146 61671.76314305723, -58440.35719649741 61671.771132552545, -58440.77644220111 61671.87966370463, -58440.936764232436 61671.920951548884, -58441.1159325483 61671.96678601978, -58441.87501692108 61672.16006945008, -58442.02920857224 61672.19891477328, -58442.30952210463 61672.26953228383, -58442.50851344134 61672.31952605355, -58442.7618382211 61672.38237558571, -58443.56431271669 61672.58118252191, -58443.735188363295 61672.62203279047, -58443.91020006551 61672.66382302989, -58444.992282784704 61672.92257230051, -58446.14753508004 61673.19913746849, -58446.23556508146 61673.222322858055, -58446.25373221218 61673.22695448263, -58446.27201121872 61673.23096840535, -58446.37355829439 61673.25514161739, -58446.3994277255 61673.26122389436, -58446.42923989141 61673.26824089932, -58446.451744007645 61673.27350759016, -58446.57292586033 61673.30162808984, -58446.62812923344 61673.314507462266, -58447.078038484804 61673.419008878, -58447.62232654394 61673.54417822947, -58449.55021849082 61673.97797820088, -58449.584367641924 61673.985630262185, -58449.96525071706 61674.06901421208, -58450.19046968969 61674.118375310376, -58450.21981124361 61674.12486224277, -58450.5512499115 61674.19717850813, -58450.956122502655 61674.284421091026, -58450.982101279646 61674.289989051, -58451.04108197308 61674.302660643945, -58451.31616496626 61674.36175587259, -58451.34627725801 61674.3683671897, -58451.38505590721 61674.37655880808, -58451.400450359084 61674.37987365798, -58451.518027649865 61674.40510294208, -58451.53842808869 61674.40938139548, -58452.14724647767 61674.53785502327, -58452.35663590017 61674.58192377854, -58452.52041430427 61674.616373891426, -58452.569973128564 61674.626720475084, -58452.76272167189 61674.66702670703, -58452.78879964122 61674.67249390926, -58455.29169810233 61675.17394790395, -58456.53554929996 61675.42291667966, -58456.55451507199 61675.42653542297, -58456.7689076804 61675.46773980449, -58456.80327805104 61675.47425985685, -58456.921305397016 61675.496914944415, -58457.27009907565 61675.56359857479, -58457.398346935275 61675.587565787544, -58457.616321008354 61675.62866051313, -58457.65310025386 61675.635556349625, -58457.835365944986 61675.66947395119, -58457.965351130806 61675.6935918056, -58458.05007896556 61675.70944555468, -58458.10399760388 61675.71949671398, -58458.83007154097 61675.85477560321, -58459.04760544122 61675.89409961388, -58459.44232014087 61675.96565129441, -58459.55046261219 61675.98514115688, -58459.58686029052 61675.99181971522, -58459.60399714693 61675.99507842997, -58459.672272351214 61676.007381681084, -58459.691334783936 61676.01100305575, -58459.71849122588 61676.01587879888, -58460.04802381727 61676.07521121788, -58460.34637579291 61676.12811022244, -58460.70925102025 61676.192486387794, -58460.8843459047 61676.22300209932, -58461.561605861745 61676.3412299437, -58461.7220770279 61676.36855519573, -58462.31059258414 61676.469061449556, -58462.41442597512 61676.486778978346, -58462.46287562189 61676.49502631408, -58462.52953805844 61676.50604428891, -58463.162112741426 61676.6124025958, -58463.18937345334 61676.61697079589, -58464.01814517504 61676.7531764029, -58464.04511844657 61676.757633346715, -58464.58097928221 61676.84388104439, -58464.61469840703 61676.84934883435, -58464.64042271391 61676.85346149811, -58464.89660002261 61676.8946625883, -58465.4259539826 61676.978043701485, -58465.457365968505 61676.98293156047, -58465.545621732505 61676.99691544573, -58465.74853926114 61677.02880746745, -58466.183784367255 61677.09628698278, -58466.20257203842 61677.09928015423, -58466.22666328879 61677.10293464321, -58466.54214905393 61677.15133301889, -58466.79586902985 61677.190191324684, -58466.969709616315 61677.216638163736, -58467.45482354643 61677.28971368183, -58467.711372006845 61677.327614243055, -58468.20336142919 61677.400359180276, -58468.341572534904 61677.42035524332, -58468.95725615869 61677.50949485336, -58469.21759969357 61677.54646391136, -58469.668409208556 61677.610331290096, -58469.86398290606 61677.63798906748, -58469.88461217945 61677.64082533896, -58470.13244328357 61677.67528200758, -58470.16193984274 61677.67939364456, -58470.24570589245 61677.69108301622, -58470.292746235544 61677.69763676355, -58470.45151786264 61677.71932920215, -58470.688670521704 61677.75142674872, -58470.849568647965 61677.773176931296, -58471.617135189954 61677.87699376084, -58471.98921227978 61677.925066756055, -58472.024694102125 61677.929651315026, -58472.491358001964 61677.98991444416, -58472.51874073896 61677.99345139305, -58472.56337982395 61677.99931919602, -58473.06315980074 61678.062033497954, -58473.119489576566 61678.06842569724, -58473.15216827836 61678.072934129545, -58473.17847508151 61678.07695914277, -58473.28852256816 61678.093707391796, -58473.4187817216 61678.10665937438, -58474.47599491653 61678.21213477319, -58475.21238685803 61678.28561992473, -58476.692984918795 61678.43342313731, -58478.1385518922 61678.54644478514, -58479.73788998555 61678.64843430858, -58481.82223243098 61678.74517983205, -58481.92157784852 61678.74870540435, -58482.35859995297 61678.76347038486, -58483.496113915244 61678.79322381152, -58485.62027492362 61678.81635516338, -58485.898263859504 61678.816145263794, -58486.519605946974 61678.81263812798, -58486.618185435254 61678.811901189394, -58486.81853162659 61678.810617319425, -58486.937908071515 61678.80982442414, -58486.93344980108 61678.069060324466, -58490.34951309721 61678.586414220386, -58491.24484728308 61678.72194409264, -58493.25830947092 61679.026883874605, -58499.828133745155 61680.021671793605, -58500.43658595537 61680.113821823375, -58500.47050600689 61680.11898467758, -58500.76596529306 61680.16363186404, -58513.734271271314 61682.12744702686, -58516.665520808994 61682.57131851447, -58546.118323464885 61686.952485472044, -58549.1928200788 61687.408211359034, -58552.99490169759 61687.287166665374, -58553.94450383692 61687.25688050787, -58554.65607588916 61687.234200513056, -58566.88134182055 61686.84488792061, -58588.855904983524 61689.87986892458, -58602.060943157936 61691.70370131042, -58602.79940865065 61691.708442687224, -58610.50600966924 61691.75777017412, -58611.462070098125 61691.7638680877, -58613.379313900856 61691.77620296749, -58637.71252215181 61691.9317800783, -58637.71764640317 61691.352357557116, -58637.72246105675 61690.821033751316, -58639.38651064925 61691.71921606764, -58641.16058210055 61692.3316396015, -58643.00189259984 61692.64379678368, -58644.866527875405 61692.64787393261, -58646.70960251109 61692.34410061507, -58648.48703027626 61691.739556239394, -58650.1559921777 61690.848803425106, -58651.147002225975 61690.1400361695, -58651.13034171335 61692.017520850284, -58681.25464212528 61692.21032036864, -58681.638188054996 61692.212768813784, -58686.79091275232 61692.24570882373, -58687.062424492724 61771.57129310529, -58687.13895888339 61796.35909414175, -58687.21873965915 61804.71338158181, -58687.2800595724 61814.80171391167, -58687.297485745155 61831.98532719939, -58687.314084880214 61848.4536214159, -58687.47654654996 61865.24110666138, -58687.48799141377 61877.36223859742, -58687.47613338732 61881.55520193112, -58687.50643672568 61898.26916111014, -58687.66597811449 61915.05346160918, -58687.6771531952 61927.20924275894, -58687.66334350427 61931.84049638559, -58687.69438101543 61948.39049572781, -58687.85664948284 61965.17797219264, -58687.8813825068 61980.62485323999, -58687.9011061401 61996.46907625475, -58688.05129671597 62014.51756028367, -58688.074484351484 62030.279732051546, -58688.098924908954 62045.72670649224, -58688.26602309891 62061.568307839814, -58688.28910903751 62077.33068220803, -58688.28642264897 62095.933261271166, -58688.45149244786 62112.168973660664, -58688.474215167545 62128.013170259874, -58688.53939405449 62138.17681310715, -58688.56325023086 62153.781642188806, -58688.64419522303 62180.5776259525, -58688.65336446128 62193.23303879157, -58671.40276610886 62193.308496448284, -58671.34742531001 62205.89273826986, -58671.38713096898 62219.44811653787, -58671.2563552631 62235.919016828855, -58671.27656153499 62251.6844109356, -58671.18175523629 62263.811441722646, -58671.153011678674 62267.285233757764, -58671.175616706845 62283.12631835808, -58671.08229116153 62294.36118334593, -58671.04802855951 62298.966634755096, -58671.068018451595 62314.72902068117, -58670.98876699181 62324.917188206506, -58670.94458583027 62330.33294829785, -58670.954358018374 62336.15551420778, -58670.9671908943 62346.17403079082, -58670.89208259348 62355.49555525544, -58670.837760327326 62361.77800142269, -58670.862126671185 62377.858734925816, -58670.73530873247 62393.54150551369, -58670.7583001918 62409.303762887066, -58670.70182005744 62416.62029641663, -58670.630691515886 62425.14097084701, -58670.64369242123 62434.525821841686, -58670.649542960695 62441.14292586703, -58670.52601371204 62456.74684670281, -58670.55064730558 62472.19381257106, -58670.421490669556 62488.3464138433, -58670.43737040772 62499.553512840976, -58670.44198424995 62504.033077345455, -58670.318068657776 62519.71581913002, -58670.34105765393 62535.47817569904, -58670.2108544144 62551.239786114056, -58670.237615125996 62566.8444736321, -58670.10877131323 62582.92124692732, -58670.12432344314 62599.62929776234, -58670.12275998232 62599.9413821021, -58670.11900630893 62600.10225771937, -58670.0703826679 62608.0407722525, -58670.06654865584 62608.441456718865, -58670.04418873951 62610.70498429447, -59072.017672509915 62610.418232026015, -59653.82880903276 62610.399398376976, -59747.11590205038 62610.43557835219, -59780.57248256205 62610.43907074079, -59780.9620423967 62620.37624300137, -59762.181777966114 62677.9574083407, -59755.85862752683 62676.33010830384, -59736.56522789086 62693.11757880777, -59736.25407625902 62713.843471260225, -59736.037436553015 62722.58727792364, -59734.57951384787 62738.030627699765, -59733.622031290106 62748.18336891558, -59733.49526929177 62748.78483632566, -59731.32733721164 62759.04201869801, -59730.10211012669 62764.62581084377, -59727.806318294235 62774.85107297882, -59726.63076313368 62778.39833729619, -59722.37434435329 62791.199524662195, -59721.423186388405 62793.44581513985, -59716.086059990244 62806.06218295442, -59715.075724177936 62808.244690467785, -59704.62143714222 62827.33024631499, -59704.19507713998 62828.11487409686, -59696.659469096754 62840.18503061123, -59696.37544729627 62840.640082138634, -59684.780794079954 62859.20482547276, -59671.26245740316 62880.86211599589, -59667.832353988204 62886.195819870816, -59656.077208853465 62886.01857285931, -59655.82837632506 63031.37183183083, -59650.30633131918 63050.843433433634, -59640.44926957687 63085.60218859925, -59650.02822876168 63085.68086614192, -59748.541821122 63086.48870092787, -59746.9722768967 63299.34617692509, -59746.94340601254 63303.24733402021, -59746.85486343667 63315.250257406624, -59746.76062101736 63327.91131531236, -59746.74449822487 63330.10217586327, -59746.485674285286 63365.38021227912, -59745.955413211916 63436.8880388383, -59745.945639721685 63438.287841138655, -59745.83160336353 63452.552130602315, -59744.11462195138 63704.895849398155, -59743.63210636412 63773.30228282012, -59743.53323474457 63787.48462293756, -59743.43536186455 63801.43700764945, -59743.14341958163 63842.969560745594, -59743.06667159928 63853.8451231873, -59743.01897857945 63860.54393184407, -59741.65386617198 64031.47726373034, -59741.40666556632 64062.68582415041, -59741.156859768904 64093.81527169401, -59740.49258523141 64177.09767473389, -59740.49218466385 64177.18891174791, -59740.24284134243 64194.68570370551, -59740.23357293594 64208.57478630174, -59740.239017518594 64208.95213330509, -59739.27956922111 64328.97839201926, -59739.062832248244 64356.11047042288, -59738.905850590425 64375.78791626002, -59738.844806606954 64383.43700885578, -59738.81450265325 64387.21521291441, -59738.720155723044 64398.642531364596, -59738.62649071368 64410.54276358711, -59738.50520498569 64425.67419887488, -59738.40752214224 64437.880136128406, -59738.20687231507 64462.929256216215, -59738.20327588675 64463.367603406245, -59738.19436764435 64464.48375093485, -59738.19155870078 64464.83480298141, -59738.17117455223 64467.376774377946, -59738.16682809119 64467.92848854531, -59738.16607666822 64468.022198914565, -59738.16542472355 64468.11973984712, -59738.164559719735 64468.225965260564, -59738.163770256644 64468.32122643666, -59738.16290497401 64468.42352052906, -59738.16219242989 64468.52747406454, -59738.16110136599 64468.67445484774, -59738.159890535644 64468.81843216349, -59738.157492810176 64469.12118160132, -59738.15617429892 64469.28926115612, -59738.15351527705 64469.638144702476, -59738.15318720924 64469.67517289662, -59738.15273397607 64469.74095835335, -59738.1520059376 64469.84160088541, -59738.15122435779 64469.940483216655, -59738.150880514426 64469.97026909625, -59738.149965614124 64470.09035620397, -59738.14907805784 64470.201443422, -59738.14861920351 64470.25957301201, -59738.14817021337 64470.31335773163, -59738.14754026585 64470.39817422459, -59738.14710930644 64470.45516655568, -59738.146430890236 64470.53801607243, -59738.14608165035 64470.599562672156, -59738.145082496456 64470.7151989046, -59738.14436432669 64470.811496570524, -59738.143933092986 64470.86455758057, -59738.143453667115 64470.91958294538, -59738.14279328163 64471.005640077856, -59738.141986615345 64471.10948759146, -59738.141210386995 64471.21209447262, -59738.139886524456 64471.37644947183, -59738.13908322179 64471.4919875708, -59738.1380510959 64471.60896783329, -59738.13731065022 64471.714058612095, -59738.136420283394 64471.8213178996, -59738.1354738367 64471.92692036831, -59738.13476383352 64472.030770513265, -59738.133650212694 64472.18261310105, -59738.13148108615 64472.444503785686, -59738.13126743116 64472.48081089029, -59738.12987028991 64472.652095437945, -59738.12955688463 64472.68064066952, -59738.129492321 64472.7029853306, -59738.12931588098 64472.72594767938, -59738.12922821176 64472.74529149728, -59738.12909207846 64472.762668333315, -59738.12894044841 64472.77673418009, -59738.12878936919 64472.798662666144, -59738.12875243073 64472.81593874726, -59738.1285325946 64472.8367273572, -59738.12822144901 64472.86123789279, -59738.12815941949 64472.88347915627, -59738.12798524148 64472.9024068048, -59738.12788208017 64472.91843961646, -59738.12767238702 64472.93881467706, -59738.12740209899 64472.965602337754, -59738.12729414383 64472.98577325008, -59738.12720647465 64473.00511706374, -59738.12695647711 64473.031077628584, -59738.12681808167 64473.05248918752, -59738.12671238403 64473.06862538969, -59738.12643167193 64473.09189528009, -59738.1262380331 64473.12344397771, -59738.125331016076 64473.247152249074, -59738.12233267088 64473.617752254715, -59738.117573558804 64474.23359767437, -59738.112974288575 64474.80744446472, -59738.112780924 64474.8429244848, -59738.11230006806 64474.913778511574, -59738.10988149732 64475.209492405986, -59738.109478441926 64475.265347481, -59738.1090297284 64475.32306352167, -59738.10879296775 64475.35636979725, -59738.10861173167 64475.3834702382, -59738.10828310626 64475.41263580158, -59738.10644513945 64475.64525753939, -59738.103080634704 64476.08992180332, -59738.10134781248 64476.29854470395, -59738.09938722359 64476.55982030533, -59738.096621951736 64476.91697741036, -59738.09380821127 64477.27216754201, -59738.091397526194 64477.57150259723, -59738.0899129949 64477.76606226826, -59738.0888041727 64477.91376675254, -59738.08432720408 64478.70735651584, -59738.076370478855 64479.50085186044, -59738.07341806677 64479.87352222006, -59737.776130588616 64516.727196029286, -59737.81861888696 64530.91159084569, -59737.76546321209 64539.90292063737, -59737.76099513998 64540.56998437787, -59736.93322615685 64650.521299926746, -59736.671850444 64684.84665391318, -59705.27802117611 64684.64358150049, -59695.14671398586 64684.569688307325, -59645.74528788963 64684.219251511124, -59637.302926765966 64684.1593136874, -59472.37821703604 64683.57315381589, -59462.60224443669 64683.543829409464, -59461.1934726088 64683.543151490885, -59459.78450492855 64683.5425716902, -59441.321707886076 64683.58506647759, -59390.04964696283 64683.43110038043, -59382.87439284175 64683.37033826642, -59371.64563618902 64683.31677701387, -59366.29596696738 64683.31073253185, -59361.40327464974 64683.31046897977, -59356.360999053206 64683.31214563855, -59355.29112635718 64683.3123865281, -59354.784108090804 64683.3119714903, -59348.46302996713 64683.27862950304, -59346.588744474044 64683.269245588184, -59337.22759649156 64683.229121748365, -59316.94739351889 64683.15552013732, -59234.176156568275 64682.648954793905, -59204.774814960045 64682.431193452314, -59190.197932965486 64682.315166273576, -59186.14451184596 64682.248075632604, -59176.78588496821 64682.13671229203, -59166.47097454987 64682.04387585904, -59163.08386599613 64682.001284197206, -59148.15430599661 64681.77573478658, -59128.2724849883 64681.60849142125, -59122.793006500026 64681.5947616149, -59076.206964845645 64681.57381053495, -59070.74003775931 64681.572830976176, -59061.898556620356 64681.54976766714, -59046.54916257268 64681.46425305732, -59035.94711379155 64681.39753106974, -59032.56082196171 64681.357126181734, -59028.03391151421 64681.29889609315, -59023.50703404191 64681.23932160488, -58999.92200169822 64681.0218852812, -58967.82288437088 64680.403531781754, -58954.2077041606 64680.33982826236, -58948.87056997479 64680.32746269, -58930.13325188538 64680.28381199477, -58911.63772581813 64680.24485710345, -58908.17178620525 64680.23776753932, -58907.698738698535 64680.23651193165, -58905.71678742888 64680.23153548317, -58900.96037453124 64680.21961974542, -58894.43561825705 64680.20500848545, -58892.2222790269 64680.20099149943, -58861.608221080154 64680.13634432271, -58841.123234851366 64680.09094250894, -58821.82008666687 64680.05092883347, -58819.441853601034 64680.04605297988, -58803.69573386761 64680.01022148669, -58796.37824353995 64679.994870059134, -58794.26519641926 64679.991296155116, -58783.800214317926 64679.967560572586, -58764.499871916334 64679.92749967998, -58750.48373714227 64679.896621447326, -58745.78307422587 64679.88713721092, -58732.88399680206 64679.84882317258, -58726.77470676008 64679.832747861255, -58714.570956762305 64679.80720519782, -58706.88208968896 64679.79003473071, -58698.17647433338 64679.76822308371, -58686.69177069252 64679.742748545235, -58669.30418137381 64679.705346088, -58651.32721711595 64679.66538391377, -58631.726367323856 64679.620738023164, -58612.5734895699 64679.578317732354, -58609.826680346705 64679.57180446232, -58590.89485025678 64679.52410238506, -58590.17580902054 64679.52381995888, -58571.0169939703 64679.47501676634, -58549.79837825494 64679.41672431827, -58532.643537706186 64679.37411581745, -58528.87429786661 64679.365904752805, -58507.802902816235 64679.31128374317, -58497.29950619257 64679.28417493795, -58487.17358356243 64679.25872814203, -58470.07777359089 64679.207047424614, -58458.43686025725 64679.17759390467, -58453.86900051439 64679.172001827705, -58435.59708333346 64679.149409848804, -58431.99291520567 64679.13874356235, -58413.78900389171 64679.08819606051, -58405.8525482841 64679.06995002834, -58392.2754197173 64679.0439722492, -58368.99074243903 64678.99478099523, -58346.88768887054 64678.979430237545, -58324.78463280417 64678.96417406709, -58315.83143261404 64678.9568900927, -58313.95117524212 64678.95434408765, -58288.95423132042 64678.91913658156, -58266.54789156805 64678.92179433996, -58243.84127026804 64678.91463190509, -58238.17094870519 64678.912908420054, -58221.62061502746 64667.163038104576, -58199.82269725879 64654.810149882345, -58176.99331533812 64644.81057654479, -58170.977561410604 64642.54733923137, -58163.605714587764 64639.77633713177, -58164.141671826925 64638.67222976389, -58163.79150893685 64638.55088311706, -58158.85154235208 64636.86631767004, -58132.94447023612 64630.0961900832, -58119.16877903979 64627.29845326303, -58098.88438350954 64625.396853278464, -58091.901494518184 64625.03719700174, -58091.95835683531 64623.53180764126, -57995.49368806009 64619.39692658696, -57981.51692107652 64618.47503294531, -57967.5743329483 64617.08654849392, -57967.59514179359 64618.67463966252, -57962.47580332403 64618.12722999446, -57946.40423234329 64615.96944071403, -57930.42137717976 64613.16042448422, -57914.55035508247 64609.70411994942, -57898.81396540539 64605.605595172674, -57883.23479390199 64600.87074007421, -57867.83559680239 64595.506380333296, -57852.63833675257 64589.520147710966, -57837.664948503094 64582.92081128526, -57825.53391300257 64577.06991236596, -57813.58551162665 64570.804356699635, -57801.83186290549 64564.130887880776, -57795.396518846595 64560.314617757336, -57784.98736292908 64553.100080813965, -57767.17281918565 64542.739272573825, -57737.616508634805 64520.40381909186, -57734.377240232425 64516.287350791274, -57725.83165714286 64505.24188404498, -57725.303601010935 64504.750709833155, -57691.30859841146 64471.68225635392, -57676.05306220469 64458.11792123549, -57659.75875894104 64446.0179111556, -57642.53749438305 64435.477131846106, -57624.53016248616 64426.57182984685, -57574.07617958692 64412.7518540889, -57562.54988427306 64412.261328220506, -57551.01675627845 64412.53804816411, -57539.52131994494 64413.580740851336, -57528.10806636118 64415.38554597379, -57516.82118116854 64417.94528436807, -57505.70414015929 64421.250171216925, -57494.731318546204 64425.30385540247, -57484.01180455468 64430.07154011283, -57473.586084625575 64435.535186378715, -57463.49373949629 64441.67424772033, -57453.7729685039 64448.465346824756, -57444.4605794387 64455.88268912498, -57439.48284534841 64459.844778288905, -57439.58664580515 64466.60832052665, -57439.11661505615 64473.35471683914, -57439.104098156036 64473.517940019185, -57439.091001300614 64473.681147447904, -57439.07799856446 64473.84446088575, -57439.06422255306 64474.00775330816, -57439.050349883175 64474.1710431077, -57439.0360956447 64474.33411562768, -57439.021744743295 64474.49718551206, -57439.00691562116 64474.66003550109, -57438.99179144508 64474.823084371434, -57438.97618650828 64474.98601672846, -57438.960495057516 64475.1485329062, -57438.94440428274 64475.31155551395, -57438.92793701505 64475.474154073854, -57438.911278968 64475.636643983344, -57438.894325866975 64475.79933279114, -57438.87670629196 64475.96158966408, -57438.85917830762 64476.12405593527, -57438.84126621706 64476.286408317406, -57438.823069221566 64476.44854604285, -57438.804287193314 64476.610874781014, -57438.78522026014 64476.77298886672, -57438.76625252428 64476.93500219044, -57438.74670736457 64477.09689636665, -57438.72677302997 64477.2588834292, -57438.706556326084 64477.42055244027, -57438.68604457067 64477.582420352475, -57438.665247908146 64477.74407360939, -57438.64416380301 64477.90561559872, -57438.62278718194 64478.06725309441, -57438.60103153275 64478.22856992567, -57438.579080024305 64478.389984880494, -57438.556744418915 64478.55128595336, -57438.534027245485 64478.71236973251, -57438.511017551566 64478.87354903076, -57438.48762122535 64479.03471781916, -57438.464138380885 64479.195470433944, -57438.44026382628 64479.35641931284, -57438.41600516811 64479.51725429703, -57438.39146160755 64479.67787462594, -57438.36662552665 64479.838590471125, -57438.34150708123 64479.99898826625, -57438.31600453004 64480.159272168086, -57438.29020692764 64480.31975496114, -57438.264126953836 64480.47991972539, -57438.23756368228 64480.640071345595, -57438.210997876056 64480.80032635915, -57438.184053039804 64480.960260694126, -57438.15682075885 64481.12008377709, -57438.12901105695 64481.279787699794, -57438.10100803826 64481.43948637961, -57438.072814233936 64481.599076409024, -57437.42766840287 64483.36480890463, -57435.00375161224 64489.482790889764, -57432.049506526906 64495.32834254885, -57428.22839664946 64501.39552638335, -57423.84091276993 64507.007632046894, -57420.362409714464 64510.73692480217, -57416.633114461816 64514.1778991642, -57412.67410770809 64517.31105757897, -57410.062905798826 64519.1335408859, -57405.96977340988 64521.68204712876, -57400.6919315957 64525.00044886808, -57387.93628556707 64532.97618416451, -57379.04949516698 64538.66247424504, -57378.526219560925 64538.99741622596, -57377.25570704326 64539.65335110359, -57373.862112951356 64541.77497210405, -57360.4028811417 64550.188750253816, -57351.05854147883 64556.0305094887, -57347.33730925333 64558.23229993478, -57341.24427031628 64561.36559873911, -57334.96732231952 64564.051005325295, -57332.62233980017 64564.92210031921, -57317.699951673974 64570.60843036719, -57302.92808661558 64576.238739530665, -57294.959042325456 64579.2750099803, -57281.893701315006 64585.192330728365, -57279.703049299715 64587.12938265198, -57271.65834683417 64593.81257580512, -57233.04519423978 64626.06175686462, -57232.92127512495 64626.156982058536, -57232.79726188405 64626.252101230566, -57232.67324864564 64626.347220415344, -57232.549136207956 64626.442440350795, -57232.424927113316 64626.53765765205, -57232.3006289679 64626.63256218296, -57232.17633335835 64626.7273633106, -57232.05212933545 64626.82237384922, -57231.92802704566 64626.91718023392, -57231.80373397241 64627.01187797954, -57231.679247582484 64627.10657047802, -57231.55486292567 64627.2010588254, -57231.43047572917 64627.29565055055, -57231.30589521376 64627.39023702857, -57231.181223114516 64627.484614102694, -57231.056840994286 64627.57899905955, -57230.93207730689 64627.67316673543, -57230.80740520847 64627.767543813796, -57230.682832303086 64627.861820131584, -57230.55797449242 64627.95588179408, -57230.4332133416 64628.04994608086, -57230.30816475231 64628.14389910286, -57230.18340613748 64628.23786000337, -57230.05845420382 64628.331815648235, -57229.93370320042 64628.42546638709, -57229.808751271856 64628.51942203054, -57229.68351696658 64628.613059633855, -57229.55857264482 64628.706705124154, -57229.433437539665 64628.800241965466, -57229.30830243474 64628.893778812446, -57229.183070670566 64628.98731302665, -57229.05784398204 64629.08064046972, -57228.9324239701 64629.173962657165, -57228.80719981756 64629.26718670972, -57228.681975660715 64629.36041076511, -57228.55636486588 64629.45362431348, -57228.431145787225 64629.546641596324, -57228.30553499295 64629.63985514044, -57228.18021925301 64629.73286979334, -57228.05452194816 64629.825667168094, -57227.92901796268 64629.91846979848, -57227.80322399431 64630.01126453622, -57227.677722547065 64630.103963776084, -57227.55202777871 64630.196657761735, -57227.42623888417 64630.28924573259, -57227.30054665402 64630.3818363263, -57227.17456951399 64630.47421226755, -57227.04868903833 64630.566590833085, -57226.92280856063 64630.658969404285, -57226.79702727816 64630.751247210654, -57226.67076270045 64630.84351188431, -57213.69370442475 64639.52103111362, -57200.326865428535 64647.492214335165, -57186.60381080453 64654.737282480804, -57172.55923767306 64661.23762525952, -57172.42138630543 64661.28570971629, -57172.28354762235 64661.33327722471, -57172.14589718501 64661.381056774044, -57172.008145013584 64661.429040458905, -57171.87030886736 64661.47650457962, -57171.732276864685 64661.52406684657, -57171.59453483897 64661.57163698492, -57171.45660203329 64661.61909847712, -57171.31867429855 64661.66635320385, -57171.18055578607 64661.713499292935, -57171.04263058899 64661.76065062631, -57170.90460366 64661.80800611646, -57170.76658687839 64661.85494804736, -57170.628567558844 64661.90199337302, -57170.490451583755 64661.94903607299, -57170.35243733887 64661.99587462328, -57170.21422977244 64662.042707913686, -57170.07602728144 64662.08933444005, -57169.9377205216 64662.13626848678, -57169.799525644536 64662.182584851485, -57169.66132314873 64662.22921137218, -57169.52312319591 64662.2757345066, -57169.38473246085 64662.3221489892, -57169.24634679893 64662.36835670917, -57169.10795860138 64662.414667815414, -57168.96966959696 64662.460878162485, -57168.83128139775 64662.50718926023, -57168.69261590272 64662.55297555379, -57168.55432943503 64662.599082508925, -57168.41576060204 64662.64487142817, -57168.27728081639 64662.690973131925, -57168.138620394246 64662.73655263877, -57168.00033900614 64662.78245282703, -57167.861482729015 64662.82813047018, -57167.72302070125 64662.873508457276, -57167.584459478596 64662.91898721204, -57167.44569985807 64662.96466748513, -57167.30704705069 64663.009936838826, -57167.16820092172 64663.05520093405, -57167.02955064731 64663.10036689864, -57166.89060785735 64663.14562836676, -57166.75196012492 64663.19069095074, -57166.61321572566 64663.235750893444, -57166.47418642402 64663.28059619078, -57166.335538688974 64663.32565876485, -57166.19650938787 64663.37050405227, -57166.05738850277 64663.41513995845, -57165.91855505764 64663.45988710532, -57165.779624949915 64663.50463165057, -57165.640794042185 64663.54927541542, -57165.50158664226 64663.5934951324, -57165.36256748816 64663.637926880394, -57165.22344914154 64663.68245938473, -57165.08433840036 64663.72668172882, -57164.945227658296 64663.77090407008, -57164.80611691986 64663.81512641134, -57164.66682047066 64663.85903334523, -57164.52780892656 64663.90315492875, -57164.38851248012 64663.94706185414, -57164.249119369 64663.99096615101, -57164.11012051149 64664.03457080174, -57163.97072740308 64664.07847509578, -57152.14327068626 64668.83253276152, -57140.14201077203 64673.05796474102, -57127.987731589776 64676.74736977899, -57115.70137994484 64679.89459253226, -57103.303887428 64682.494097997966, -57092.12321889815 64684.20540377948, -57080.89463380215 64685.50437585045, -56983.33161487844 64696.04460959946, -56980.72802220164 64697.529289687256, -56962.40199469526 64697.22417039094, -56914.22624943679 64700.198957205066, -56912.607589017 64700.198095463966, -56898.01726101445 64700.1920052306, -56881.808270082634 64700.18515191078, -56859.634458832865 64700.17535498759, -56843.42554406529 64700.16538886021, -56827.2165532112 64700.15851960071, -56811.00475924175 64700.151569392285, -56794.7957709708 64700.144587286086, -56778.586894853805 64700.14091406179, -56766.79862652095 64700.13265319823, -56763.633375658625 64700.13050099601, -56762.377804638374 64700.13019530682, -56746.169002395116 64700.127445736995, -56744.83992169707 64700.12710675504, -56729.960001274325 64700.11703029903, -56724.06007274311 64700.11449622714, -56724.07009903301 64701.05393858286, -56724.235219776325 64732.39688096338, -56724.464966954205 64776.435058947674, -56724.474435513126 64778.11853839909, -56724.10399254952 64779.74989275098, -56677.51271101251 64779.924697291, -56677.329922401084 64779.92386569154, -56677.427996258266 64797.26299459023, -56677.52295393595 64814.5990379169, -56677.62093116743 64831.93816291105, -56677.71900000992 64849.27749668029, -56677.81697727908 64866.61662041399, -56677.91493402494 64883.95263929368, -56678.010009001286 64901.29178629747, -56678.1050634473 64918.627828458586, -56678.20594059182 64935.96702849881, -56678.303991533125 64953.30315085116, -56678.40196384492 64970.64247756049, -56678.49984205119 64987.981697620555, -56678.59499325076 65005.317739239246, -56678.692874036846 65022.65685463843, -56678.79094561911 65039.99607805354, -56678.886000214596 65057.33211514313, -56678.993846284924 65076.24774757654, -56679.05092732242 65086.28241377913, -56679.06371009908 65088.40235754441, -56689.28838694899 65088.33388076318, -56689.37053732846 65095.644210549886, -56688.988032166075 65105.07081402161, -56688.390456651185 65113.98318955893, -56688.48130842011 65134.00522790015, -56688.56613776423 65152.81036172516, -56688.651237082544 65171.580844559096, -56688.69260977614 65180.600183402996, -56688.73926456442 65190.953310209195, -56688.78733034416 65201.0163860081, -56688.81326716873 65207.1606909135, -56688.993866801335 65246.80435622845, -56689.0159842141 65251.93365862171, -56689.112105637105 65272.65540020617, -56689.20204646978 65292.828865866526, -56689.29510606795 65313.00531221144, -56727.60929357262 65313.14777194938, -56745.10586821613 65313.21119388525, -56745.47717086798 65313.20028724034, -56745.548112295815 65328.2475344423, -56745.62548486166 65344.971968705264, -56745.67922846872 65356.28969611739, -56745.73478696699 65367.82514281896, -56745.784313212724 65378.786557970125, -56745.855739822844 65394.33826496252, -56745.91790885278 65407.53176367945, -56745.977808836695 65420.00970263816, -56746.03743988422 65432.538016741986, -56746.099159846715 65445.2334678083, -56746.176294789795 65461.38423120653, -56746.25451694489 65477.947914171804, -56746.41324938715 65511.80977046478, -56746.481219724585 65520.38776091291, -56738.02461209106 65520.33196176627, -56621.36522062536 65521.35960686695, -56498.818942771955 65520.78445246919, -56418.63419431009 65520.82137423641, -56376.508004470976 65520.59893654851, -56287.4795505506 65520.26874851061, -56266.359947733254 65520.41453388163, -56155.85109776841 65520.12792095897, -56093.934875436746 65520.094615207396, -56044.2942101431 65520.011732913394, -56015.552629603626 65519.84561347033, -55932.28499477356 65519.83015064488, -55876.16137728947 65519.20287983051, -55820.19468730974 65519.02323124828, -55735.4483178665 65519.19712327673, -55708.20630836094 65518.90269885773, -55594.70605371679 65518.86371009017, -55495.78880634031 65518.01883285854, -55410.411123277525 65517.983140745135, -55399.03360906723 65518.046186010324, -55302.30127518834 65517.74086623236, -55231.79443294102 65517.19959134096, -55167.07067549338 65516.960870753435, -55052.28831842449 65516.97298862701, -55041.88463039756 65516.96883913558, -54915.16076629844 65517.303483621625, -54874.99317042654 65517.37892678747, -54868.61208400062 65517.3936178308, -54807.68348235675 65517.60488020912, -54710.17476421523 65517.97954542204, -54375.37921159805 65518.73550984309, -54375.38774504989 65528.18856879855, -54375.38442114096 65529.49046493173, -54375.3917939825 65552.09391877087, -54375.40726723215 65599.107588477, -54375.417988354675 65630.15371261882, -54375.429640531445 65661.58750748826, -54375.441486565105 65693.58875840607, -54375.443097339456 65698.76043414633, -54375.44424132075 65702.7058403155, -54375.09800285416 65724.2053058677, -54285.03019259229 65724.1883200955, -54272.11569652067 65727.75542035403, -54269.86330143196 65728.37678514136, -54215.12921058585 65728.95782585081, -54215.045204868045 65709.74087105457))\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Daily Temperature Extrema from GCHN weather station dataset"
+      ],
+      "metadata": {
+        "id": "TvydKnPEZKGX"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "'''\n",
+        "DATA PROCESSING FOR GCHN STATION TEMPERATURE EXTREMA IN SOUTHERN CA\n",
+        "'''\n",
+        "# import custom GCHN python lib functions\n",
+        "from get_station_data import ghcnd\n",
+        "from get_station_data.util import nearest_stn\n",
+        "\n",
+        "# get station metadata\n",
+        "stn_md = ghcnd.get_stn_metadata()\n",
+        "\n",
+        "# extract relevant 2025 operating stations in SoCal\n",
+        "sd_stns = nearest_stn(stn_md, -117.5, 32.9,\n",
+        "                      n_neighbours=500).query(\n",
+        "                          'end_year == 2025'\n",
+        "                      )\n",
+        "la_stns = nearest_stn(stn_md, -118.15, 33.6,\n",
+        "                      n_neighbours=800).query(\n",
+        "                          'end_year == 2025'\n",
+        "                      )\n",
+        "stns = pd.concat([la_stns, sd_stns]).drop_duplicates().reset_index(drop=True)\n",
+        "\n",
+        "# download and save station weather data into csv file\n",
+        "df = ghcnd.get_data(stns)\n",
+        "df.to_csv(dir + 'socal_temps_GHCN.csv', index=False)"
+      ],
+      "metadata": {
+        "id": "vGU8K4Mri8qt"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# get daily GCHN weather station data and convert dates to usable format\n",
+        "df = pd.read_csv(dir + 'socal_temps_GHCN.csv')\n",
+        "df['date'] = pd.to_datetime(df['date'])\n",
+        "\n",
+        "# subset desired time range and station min & max temps (TMIN & TMAX)\n",
+        "temps = df[df['element'].isin(['TMIN', 'TMAX']) & (df['date'].dt.year == 2024)\\\n",
+        "           & df['date'].dt.month.isin([6, 7, 8])]\n",
+        "\n",
+        "# suppress annoying pandas notices\n",
+        "import warnings\n",
+        "import warnings; warnings.filterwarnings(\"ignore\")\n",
+        "# get day number (of year) for every date for easier indexing\n",
+        "temps['day_num'] = 0.0\n",
+        "for i in range(len(temps.date)):\n",
+        "    temps.day_num.iloc[i] = temps.date.iloc[i].timetuple().tm_yday"
+      ],
+      "metadata": {
+        "id": "_A9tNWryEO9u"
+      },
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Interpolate GCHN data to a 2 km grid and calculate neighborhood and city-scale TMIN and TMAX"
+      ],
+      "metadata": {
+        "id": "-aLM_TLhp_6K"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# get daily mean TMIN & TMAX for all neigh/city polygons from Jun-Aug 2024\n",
+        "# using day number as index\n",
+        "for idx in np.arange(153, 244+1):\n",
+        "    # index tracker\n",
+        "    print(idx)\n",
+        "\n",
+        "    # create column names for mean TMIN & TMAX of each neigh/city polygon\n",
+        "    polys = polys_neigh.copy()\n",
+        "    polys['TMIN_mean' + str(idx)] = np.nan\n",
+        "    polys['TMAX_mean' + str(idx)] = np.nan\n",
+        "\n",
+        "    # get TMIN/TMAX records to create daily interpolated 2 km res grid\n",
+        "    temps_daily = temps[temps['day_num'] == idx]\n",
+        "    max_temps_daily = temps_daily[temps_daily['element'] == 'TMAX']\n",
+        "    max_temps_daily = max_temps_daily.dropna(subset=['value'])\n",
+        "    max_temps_daily = max_temps_daily[max_temps_daily['value'] >= 0]\n",
+        "    min_temps_daily = temps_daily[temps_daily['element'] == 'TMIN']\n",
+        "    min_temps_daily = min_temps_daily.dropna(subset=['value'])\n",
+        "    min_temps_daily = min_temps_daily[min_temps_daily['value'] >= 0]\n",
+        "\n",
+        "    ############# TMAX #############\n",
+        "    # reproject points to create interpolated 2 km grid with metpy\n",
+        "    from_proj = ccrs.Geodetic()\n",
+        "    if from_proj is not None and to_proj is not None:\n",
+        "        proj_points = to_proj.transform_points(from_proj,\n",
+        "                                               max_temps_daily.lon,\n",
+        "                                               max_temps_daily.lat)\n",
+        "    long, lati = proj_points[:, 0], proj_points[:, 1]\n",
+        "    # convert interpolated TMAX/TMIN grids into xarray Datasets\n",
+        "    gx, gy, img = interpolate_to_grid(long,\n",
+        "                                      lati,\n",
+        "                                      max_temps_daily.value,\n",
+        "                                      interp_type='natural_neighbor',\n",
+        "                                      hres=2000) # meters\n",
+        "    maxtemps_xr = xr.Dataset({\n",
+        "                'temperature': (['y', 'x'], img),\n",
+        "            },\n",
+        "            coords={\n",
+        "                'latitude': (['y', 'x'], gy),\n",
+        "                'longitude': (['y', 'x'], gx),\n",
+        "            }\n",
+        "        )\n",
+        "    ############# TMIN #############\n",
+        "    # reproject points to create interpolated 2 km grid with metpy\n",
+        "    from_proj = ccrs.Geodetic()\n",
+        "    to_proj = ccrs.AlbersEqualArea(central_longitude=-117.5,\n",
+        "                                   central_latitude=33.5)\n",
+        "    #to_proj = ccrs.PlateCarree(central_longitude=-117.5)\n",
+        "    if from_proj is not None and to_proj is not None:\n",
+        "        proj_points = to_proj.transform_points(from_proj,\n",
+        "                                               min_temps_daily.lon,\n",
+        "                                               min_temps_daily.lat)\n",
+        "    long, lati = proj_points[:, 0], proj_points[:, 1]\n",
+        "    # convert interpolated TMIN grids into xarray Datasets\n",
+        "    gx, gy, img = interpolate_to_grid(long,\n",
+        "                                      lati,\n",
+        "                                      min_temps_daily.value,\n",
+        "                                      interp_type='natural_neighbor',\n",
+        "                                      hres=2000)\n",
+        "    mintemps_xr = xr.Dataset({\n",
+        "                'temperature': (['y', 'x'], img),\n",
+        "            },\n",
+        "            coords={\n",
+        "                'latitude': (['y', 'x'], gy),\n",
+        "                'longitude': (['y', 'x'], gx),\n",
+        "            }\n",
+        "        )\n",
+        "\n",
+        "    # convert interpolated grids back to shapely points for easier data\n",
+        "    # extraction with neighborhood/city polygons\n",
+        "    mint = mintemps_xr.to_dataframe()\n",
+        "    mint = mint.reset_index()\n",
+        "    mint_gdf = gpd.GeoDataFrame(mint, geometry=gpd.points_from_xy(\n",
+        "        mint.longitude, mint.latitude), crs=to_proj.proj4_init)#\"EPSG:3310\")\n",
+        "    maxt = maxtemps_xr.to_dataframe()\n",
+        "    maxt = maxt.reset_index()\n",
+        "    maxt_gdf = gpd.GeoDataFrame(maxt, geometry=gpd.points_from_xy(\n",
+        "        maxt.longitude, maxt.latitude), crs=to_proj.proj4_init)#\"EPSG:3310\")\n",
+        "\n",
+        "    # append daily mean TMIN/TMAX for each neigh/city boundary to polys df\n",
+        "    for row in range(polys.shape[0]):\n",
+        "        # subset grid pts within each neighborhood/city polygon\n",
+        "        pip_min = mint_gdf.within(polys.loc[row, 'geometry'])\n",
+        "        pts_in_poly_min = mint_gdf.loc[pip_min]\n",
+        "        pip_max = maxt_gdf.within(polys.loc[row, 'geometry'])\n",
+        "        pts_in_poly_max = maxt_gdf.loc[pip_max]\n",
+        "        # calculate daily mean of TMIN/TMAX\n",
+        "        polys.loc[row,'TMIN_mean'+str(idx)] = pts_in_poly_min.temperature.mean()\n",
+        "        polys.loc[row,'TMAX_mean'+str(idx)] = pts_in_poly_max.temperature.mean()\n",
+        "\n",
+        "# export data to csv file\n",
+        "polys.to_csv(dir + 'neighpolys_daily_temp_extrema_GCHN.csv', index=False)"
+      ],
+      "metadata": {
+        "id": "LNQOhdNDEkl4",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "76f01535-df56-4cc2-c3d4-a95dab980d5d"
+      },
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "153\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Calculate monthly averages for TMIN and TMAX for each neighborhood and city for Jun-Aug 2024"
+      ],
+      "metadata": {
+        "id": "vyIeCegcqkCy"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# upload csv table of daily TMIN/TMAX at neigh/city scale\n",
+        "polys = pd.read_csv(dir + 'neighpolys_daily_temp_extrema_GCHN.csv')\n",
+        "\n",
+        "# subset columns of daily TMIN/TMAX and create list of day numbers for Jun-Aug\n",
+        "tmin_cols = polys.filter(like='TMIN_mean').columns\n",
+        "tmax_cols = polys.filter(like='TMAX_mean').columns\n",
+        "months_list = [np.arange(153, 182+1),\n",
+        "               np.arange(183, 213+1),\n",
+        "               np.arange(213, 244+1)]\n",
+        "\n",
+        "for i in [0,1,2]:\n",
+        "  # create list of daily TMIN values for a given month\n",
+        "  m = []\n",
+        "  # subset daily TMIN columns for each month and calculate monthly mean\n",
+        "  for idx in months_list[i]:\n",
+        "    m.append(tmin_cols.str.contains(str(idx)))\n",
+        "  if i==0:\n",
+        "    june_tmin = polys[tmin_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29]]\n",
+        "    june_tmin['TMIN_jun_mean'] = june_tmin.mean(axis=1)\n",
+        "  if i==1:\n",
+        "    jul_tmin = polys[tmin_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29] | m[30]]\n",
+        "    jul_tmin['TMIN_jul_mean'] = jul_tmin.mean(axis=1)\n",
+        "  if i==2:\n",
+        "    aug_tmin = polys[tmin_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29] | m[30]]\n",
+        "    aug_tmin['TMIN_aug_mean'] = aug_tmin.mean(axis=1)\n",
+        "\n",
+        "for i in [0,1,2]:\n",
+        "  # create list of daily TMAX values for a given month\n",
+        "  m = []\n",
+        "  # subset daily TMAX columns for each month and calculate monthly mean\n",
+        "  for idx in months_list[i]:\n",
+        "    m.append(tmax_cols.str.contains(str(idx)))\n",
+        "  if i==0:\n",
+        "    june_tmax = polys[tmax_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29]]\n",
+        "    june_tmax['TMAX_jun_mean'] = june_tmax.mean(axis=1)\n",
+        "  if i==1:\n",
+        "    jul_tmax = polys[tmax_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29] | m[30]]\n",
+        "    jul_tmax['TMAX_jul_mean'] = jul_tmax.mean(axis=1)\n",
+        "  if i==2:\n",
+        "    aug_tmax = polys[tmax_cols].loc[:,\n",
+        "      m[0] | m[1] | m[2] | m[3] | m[4] | m[5] | m[6] | m[7] | m[8] |\\\n",
+        "      m[9] | m[10] | m[11] | m[12] | m[13] | m[14] | m[15] | m[16] | m[17] |\\\n",
+        "      m[18] | m[19] | m[20] | m[21] | m[22] | m[23] | m[24] | m[25] | m[26] |\\\n",
+        "      m[28] | m[29] | m[30]]\n",
+        "    aug_tmax['TMAX_aug_mean'] = aug_tmax.mean(axis=1)\n",
+        "\n",
+        "# append all 6 monthly mean columns into one df\n",
+        "temp_extrema = pd.concat([\n",
+        "    june_tmin['TMIN_jun_mean'], june_tmax['TMAX_jun_mean'],\n",
+        "    jul_tmin['TMIN_jul_mean'], jul_tmax['TMAX_jul_mean'],\n",
+        "    aug_tmin['TMIN_aug_mean'], aug_tmax['TMAX_aug_mean']\n",
+        "    ], axis = 1)\n",
+        "\n",
+        "# concatenate and preview monthly TMIN/TMAX data\n",
+        "monthly_t_polys = pd.concat([polys[['COUNTY',\t'CITY',\t'NAME','geometry']],\n",
+        "                             temp_extrema\n",
+        "                             ], axis=1)\n",
+        "monthly_t_polys.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 293
+        },
+        "id": "ucpU6S4t7wpD",
+        "outputId": "17f0288d-cb5c-4a20-8a2b-dd1a52c132a8"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "        COUNTY         CITY             NAME  \\\n",
+              "0  Los Angeles  Los Angeles           Arleta   \n",
+              "1  Los Angeles  Los Angeles  Atwater Village   \n",
+              "2  Los Angeles  Los Angeles          Bel Air   \n",
+              "3  Los Angeles  Los Angeles     Beverly Glen   \n",
+              "4  Los Angeles  Los Angeles    Boyle Heights   \n",
+              "\n",
+              "                                            geometry  TMIN_jun_mean  \\\n",
+              "0  POLYGON ((-80420.84018370246 86166.7122923506,...      16.023328   \n",
+              "1  POLYGON ((-69443.93669937954 75178.01344484498...      15.584058   \n",
+              "2  POLYGON ((-87262.49578034013 71797.30478773602...      15.284292   \n",
+              "3  MULTIPOLYGON (((-84360.16896754658 72183.07312...      15.215470   \n",
+              "4  POLYGON ((-64647.18646021297 63609.52769269179...      16.340755   \n",
+              "\n",
+              "   TMAX_jun_mean  TMIN_jul_mean  TMAX_jul_mean  TMIN_aug_mean  TMAX_aug_mean  \n",
+              "0      29.357237      19.184581      35.041955      18.643946      34.462522  \n",
+              "1      28.039536      17.664263      32.218391      17.804987      32.313541  \n",
+              "2      24.698875      17.028975      28.172477      17.276562      28.796151  \n",
+              "3      25.056942      17.097233      28.854722      17.305115      29.354612  \n",
+              "4      27.519060      18.176685      31.179310      18.413999      31.622314  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-455c1a11-9acd-4896-8050-8fe264300002\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>COUNTY</th>\n",
+              "      <th>CITY</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>TMIN_jun_mean</th>\n",
+              "      <th>TMAX_jun_mean</th>\n",
+              "      <th>TMIN_jul_mean</th>\n",
+              "      <th>TMAX_jul_mean</th>\n",
+              "      <th>TMIN_aug_mean</th>\n",
+              "      <th>TMAX_aug_mean</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Arleta</td>\n",
+              "      <td>POLYGON ((-80420.84018370246 86166.7122923506,...</td>\n",
+              "      <td>16.023328</td>\n",
+              "      <td>29.357237</td>\n",
+              "      <td>19.184581</td>\n",
+              "      <td>35.041955</td>\n",
+              "      <td>18.643946</td>\n",
+              "      <td>34.462522</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Atwater Village</td>\n",
+              "      <td>POLYGON ((-69443.93669937954 75178.01344484498...</td>\n",
+              "      <td>15.584058</td>\n",
+              "      <td>28.039536</td>\n",
+              "      <td>17.664263</td>\n",
+              "      <td>32.218391</td>\n",
+              "      <td>17.804987</td>\n",
+              "      <td>32.313541</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Bel Air</td>\n",
+              "      <td>POLYGON ((-87262.49578034013 71797.30478773602...</td>\n",
+              "      <td>15.284292</td>\n",
+              "      <td>24.698875</td>\n",
+              "      <td>17.028975</td>\n",
+              "      <td>28.172477</td>\n",
+              "      <td>17.276562</td>\n",
+              "      <td>28.796151</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Beverly Glen</td>\n",
+              "      <td>MULTIPOLYGON (((-84360.16896754658 72183.07312...</td>\n",
+              "      <td>15.215470</td>\n",
+              "      <td>25.056942</td>\n",
+              "      <td>17.097233</td>\n",
+              "      <td>28.854722</td>\n",
+              "      <td>17.305115</td>\n",
+              "      <td>29.354612</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Boyle Heights</td>\n",
+              "      <td>POLYGON ((-64647.18646021297 63609.52769269179...</td>\n",
+              "      <td>16.340755</td>\n",
+              "      <td>27.519060</td>\n",
+              "      <td>18.176685</td>\n",
+              "      <td>31.179310</td>\n",
+              "      <td>18.413999</td>\n",
+              "      <td>31.622314</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-455c1a11-9acd-4896-8050-8fe264300002')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-455c1a11-9acd-4896-8050-8fe264300002 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-455c1a11-9acd-4896-8050-8fe264300002');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-18b22624-724b-42d4-8b00-31e26716d93e\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-18b22624-724b-42d4-8b00-31e26716d93e')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-18b22624-724b-42d4-8b00-31e26716d93e button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "monthly_t_polys",
+              "summary": "{\n  \"name\": \"monthly_t_polys\",\n  \"rows\": 360,\n  \"fields\": [\n    {\n      \"column\": \"COUNTY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Los Angeles\",\n          \"San Diego\",\n          \"Riverside County\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 192,\n        \"samples\": [\n          \"Cudahy\",\n          \"Placentia\",\n          \"Huntington Park\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 358,\n        \"samples\": [\n          \"City of El Segundo\",\n          \"New Downtown\",\n          \"City of Laguna Hills\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 360,\n        \"samples\": [\n          \"POLYGON ((-44519.65756410544 67464.61484692025, -44520.735128063854 67461.94740798339, -44523.85622910958 67454.23129315062, -44529.60083714047 67439.78893986002, -44539.164379225025 67415.01366098998, -44540.827146513075 67410.63280025977, -44545.391710851756 67398.48967145072, -44551.28162943102 67382.55771461922, -44557.07198129971 67366.59178439941, -44557.76512942985 67364.63427039629, -44558.61210603115 67362.25401283878, -44558.628523755164 67362.20780451408, -44559.306485215675 67360.36057128747, -44560.886393585686 67356.03340783028, -44563.14459379236 67349.78649795138, -44567.00737793724 67338.99936201064, -44568.85969584953 67333.77712102175, -44569.1562750921 67332.93370970666, -44571.665622350934 67325.79889846127, -44574.47487505266 67317.73251952326, -44579.06782910785 67304.37063406396, -44579.99283789187 67301.65276766782, -44582.08476937237 67295.46875227934, -44584.49575242919 67288.28251671241, -44585.41983397047 67285.53151905852, -44588.07268104414 67277.49271647452, -44590.73777260677 67269.36889867486, -44591.671214954076 67266.48883836716, -44593.37891600066 67261.33008518304, -44595.96172816797 67253.17732046908, -44596.38365917384 67251.84582865894, -44598.52037330687 67245.10665732209, -44601.094363676086 67236.95075358612, -44602.97446795999 67230.86904194023, -44606.11520256551 67220.69194743152, -44606.342665962715 67219.94916564751, -44611.03013604382 67204.40127040661, -44615.865630317436 67188.05658425321, -44616.632854338066 67185.41850146902, -44620.595339469895 67171.69875595564, -44625.227735681 67155.30577484965, -44629.21442745394 67140.8329165854, -44631.17682033131 67133.59455262196, -44632.57526765612 67128.39338827322, -44633.700636139416 67124.2090500931, -44635.82234817571 67116.3283533554, -44637.88858340562 67108.3435084553, -44639.531607798075 67101.93913755417, -44640.23142335735 67099.22192557144, -44642.58053470924 67090.0025421783, -44645.071653016654 67080.07776121875, -44645.702857105665 67077.5430259464, -44647.57797578257 67070.04590662681, -44649.86981869906 67060.5078626441, -44650.17360292905 67059.24513690868, -44650.79314450934 67056.65359531442, -44652.87175407269 67047.94055623212, -44654.02081244966 67043.12258212942, -44654.800469121634 67039.7499962098, -44656.254222249874 67033.47079050208, -44657.78051426429 67026.81378844219, -44658.488093681175 67023.72145296272, -44659.83429660967 67017.75690713956, -44661.166048686595 67011.7230640007, -44661.5671790538 67009.85230954378, -44670.40154010938 66968.58092699727, -44670.73960633635 66966.94639113644, -44670.89360882244 66966.16217906508, -44678.73078493201 66926.39273947546, -44679.58599478621 66921.99594669984, -44679.75261568456 66921.06031146314, -44686.99020833233 66880.90034135507, -44687.65507601273 66876.88101285238, -44691.75737474091 66851.92942829702, -44692.4860267866 66847.49099139735, -44695.094380342525 66831.63998001964, -44697.20039389368 66817.22409295347, -44701.68241076969 66786.25301887286, -44706.051205636344 66751.8860231544, -44706.53838541924 66748.03614613488, -44709.71790838527 66722.52212568454, -44709.96311193102 66720.55709060165, -44710.38319291527 66717.19430429323, -44710.950928598155 66711.90395025794, -44712.65758203029 66696.02646452945, -44713.51858497098 66688.00754702414, -44714.29384552106 66680.05735349184, -44716.02734339275 66662.24443595833, -44716.28318163135 66659.61416398076, -44716.563823655335 66656.73017507118, -44716.74067364165 66654.90562105055, -44716.83924527615 66654.02326204568, -44717.150523360935 66651.20332384875, -44717.53256867024 66647.77845603303, -44717.89948949274 66644.42590280584, -44720.49225504799 66608.76969255423, -44721.5647526902 66594.01541978166, -44721.645615300826 66592.54670780501, -44721.71074092871 66590.63974159265, -44722.52281029537 66578.74590650074, -44724.38907783867 66558.44976388678, -44725.7081491611 66539.16252258288, -44729.03236207347 66490.46862756426, -44730.29791525989 66471.93462365516, -44731.25252287615 66457.96710099412, -44732.69576799841 66436.83006231241, -44733.51252580275 66417.89010985763, -44735.00817080179 66403.5660072368, -44738.498166633 66376.60340938874, -44748.50021365658 66299.31378946686, -44749.78170654796 66289.40373944728, -44750.180944449094 66286.31453545262, -44752.13761666336 66272.54020267415, -44754.203511603955 66258.95404768892, -44757.096781008826 66240.82838846782, -44758.942387096664 66229.7089870328, -44760.813953360484 66218.7061667324, -44768.37179334529 66176.95900008739, -44776.546056188854 66135.70027056702, -44785.39165954926 66094.59618385152, -44787.610922248445 66084.81517837074, -44789.833726814824 66074.93329714856, -44791.80991191341 66066.04641666806, -44793.78959856788 66057.06817730263, -44794.612413328396 66053.28915073532, -44795.2484410879 66050.37289343073, -44795.60393570394 66048.74152113662, -44796.716257644584 66043.61154039283, -44798.724213292 66034.27394664435, -44799.357567935716 66031.30112924942, -44801.20313018697 66022.6247175665, -44806.13524978404 65999.72333985702, -44809.21877285707 65988.57505583431, -44813.82310222683 65971.91423152745, -44818.51750038572 65954.92585140362, -44823.28667972148 65937.67312163026, -44828.017037275284 65920.55568135086, -44832.76600184683 65903.3816425163, -44837.621688228835 65885.80456774095, -44842.361455579194 65868.66627736595, -44846.446484592736 65853.87110620837, -44847.10339090956 65851.49090487241, -44851.89122698357 65834.19522891495, -44856.65450578928 65816.95815902566, -44861.444874046785 65799.64599753851, -44866.13916193292 65782.65408691815, -44871.0283849857 65764.96381242377, -44875.68960435947 65748.10134761847, -44880.39894595749 65731.07539581339, -44885.1888507123 65713.72690365132, -44893.939249704636 65682.08519849608, -44902.60473872278 65650.74604677373, -44904.5690192913 65643.6390912849, -44905.83173874174 65639.08036839338, -44908.10535831502 65630.86643111476, -44909.42812263396 65626.08413057993, -44951.7010559169 65473.16430397035, -44960.34745046469 65440.35377869761, -44972.215715577775 65396.40514828424, -44983.474881122565 65355.33182024743, -44992.70410667469 65321.42386206942, -45000.77528348784 65291.76299118727, -45005.4300876455 65274.61002699455, -45009.94512314809 65257.94930198672, -45018.444762489926 65226.808954739165, -45024.97098948914 65202.77728597686, -45065.89742017044 65052.2600394162, -45067.67370303133 65045.7302706604, -45068.37581063693 65043.15183867382, -45072.693352130416 65027.29347164059, -45082.9759784281 64989.48788342964, -45092.41526276103 64954.82441159846, -45115.50955300464 64874.19734231555, -45115.975807749666 64872.57334370697, -45116.05343762268 64872.303278594176, -45116.1436696351 64871.98876241741, -45118.09342146468 64865.18554982407, -45117.471094339555 64865.26429980977, -45116.18695560619 64865.44627156587, -45086.931168616014 64869.7432417264, -45084.87039234016 64870.04473787351, -45085.87432869388 64866.353941969326, -45086.21989000413 64865.08355902743, -45087.44521078572 64860.57842472879, -45088.8214003706 64855.51896990648, -45095.018651809274 64832.73576565244, -45095.70445882992 64830.21451043554, -45096.76730301939 64826.307036399645, -45099.00602085919 64818.07639617865, -45103.973220691805 64799.88851156261, -45101.34311684868 64809.56581000999, -45107.903498858475 64808.35199892306, -45133.66348242276 64803.59321705515, -45142.05544119271 64802.04482956749, -45153.83355438281 64799.869778684064, -45195.36267313279 64792.20488307286, -45195.61743893597 64791.92560060246, -45198.88246896956 64788.36637215188, -45216.71601051189 64769.32321552622, -45238.26741612732 64746.30067846786, -45242.28138861079 64742.01677281371, -45271.753536611395 64738.10181229089, -45289.63325131574 64735.72930383483, -45314.16413438301 64719.41376470351, -45337.837816530686 64703.626876060865, -45386.92947562388 64670.93614276182, -45436.695780772134 64545.71966561307, -45444.27416319464 64526.55443048059, -45457.383045220275 64493.62370531575, -45488.83771070155 64414.4115275711, -45557.67806103186 64444.96693670973, -45574.98311755974 64452.81316710451, -45537.71731103316 64543.00126984258, -45529.42093716205 64567.44347604603, -45493.44660248725 64655.5554731338, -45541.74661934539 64677.42420338135, -45543.10519726306 64678.03921451778, -45552.98178920398 64759.42460891723, -45640.8013512642 64747.36767978146, -45652.47211769391 64718.08356174847, -45656.99680154239 64706.159854709775, -45661.131663224194 64694.075563437655, -45671.41485383047 64667.17223141316, -45668.870670860226 64666.14972589377, -45660.027062816764 64662.368198581324, -45617.33584177827 64667.79562815762, -45628.036602112305 64641.04164556536, -45638.342138754524 64614.3666347519, -45645.21604898403 64596.635531342894, -45672.91219798935 64609.30760922601, -45672.95179194356 64609.286554063, -45692.35610660632 64618.31666366728, -45726.49166314442 64534.7568196679, -45743.04654934011 64494.32778232333, -45755.39713203047 64464.02572172248, -45752.0962256733 64461.02438844595, -45740.4934075537 64450.70390859752, -45738.57427950107 64448.99543797149, -45737.08083882303 64447.629476777816, -45728.025252064814 64439.55018619004, -45719.990811709555 64432.38350997294, -45711.633755706855 64424.9191485714, -45702.93319987791 64417.14101149491, -45695.27146747108 64410.30401005239, -45684.578572535545 64400.75404312896, -45678.88277631606 64395.67303855332, -45665.205533276385 64383.47314789909, -45618.11412937194 64341.4343473453, -45612.59465703179 64336.483552893405, -45602.95820712883 64327.846532779615, -45546.476588476085 64277.471512014556, -45503.04717220254 64238.72575731911, -45506.285589300445 64227.862209698935, -45332.217329741616 64073.459433484204, -45335.51581585357 64061.1349816562, -45346.37880996999 64020.95233726638, -45346.547944266385 64020.7136421526, -45349.19423992097 64010.4082655925, -45352.06575453976 63999.21509577957, -45353.37429230844 63994.33823419655, -45365.87838298281 63946.93482723549, -45365.97138636977 63946.598039510565, -45386.14586490997 63873.207940261556, -45415.910826409956 63764.93478521433, -45457.79572974618 63612.56688910281, -45464.81484140997 63587.03399478105, -45492.56182503436 63486.0999784628, -45492.72338376881 63485.60264205751, -45501.346129089136 63458.75673209531, -45501.475476085136 63458.35400323306, -45513.10210619249 63424.80158420831, -45525.33270234311 63391.29953328011, -45537.82374690115 63358.7791668295, -45538.22069309932 63357.75972054873, -45544.661240453905 63341.789743263565, -45551.42888783668 63325.009455534426, -45565.27093828393 63292.23071511439, -45579.382665646735 63260.37690701662, -45580.24346238947 63258.492753941784, -45588.78508306849 63240.02898515664, -45594.94241863574 63227.083228040006, -45600.22431696589 63215.98366793489, -45604.98815998989 63205.96303497603, -45613.093777442926 63189.89608650092, -45621.9553435413 63172.32293245605, -45639.33989176555 63138.93085737567, -45657.27091916381 63105.86607540426, -45659.09930962719 63102.5933484572, -45675.61053113838 63073.06811557087, -45676.54965882997 63071.483852209596, -45677.244695422116 63070.311383683, -45687.680648315836 63052.619734933374, -45694.598162223614 63040.89756169428, -45694.72008164857 63040.68695351126, -45694.889297952715 63040.413394416595, -45695.70029371972 63039.08395134025, -45734.36836089449 62977.17345583649, -45734.5703227519 62976.862307699004, -45754.88445975101 62945.88345325931, -45759.695986338564 62938.80422692025, -45765.932285822135 62929.62909823916, -45770.82990755096 62922.427356971806, -45776.01405604101 62915.06296620698, -45786.427362867835 62900.21468223504, -45797.457903878 62884.48674820206, -45798.73124406975 62882.74765673768, -45799.92065069175 62881.12575851142, -45806.482350651 62872.22934900197, -45829.7515296689 62840.83593354822, -45840.368838187365 62827.054270029985, -45843.23949029745 62823.35776680587, -45852.41211129228 62811.54555336276, -45869.523911289005 62790.07171768123, -45875.56868500175 62782.70832965887, -45897.995554124056 62755.44682059384, -45899.07432598064 62754.19433244894, -45911.039486958536 62740.22351029135, -45922.60977532684 62726.83726259426, -45923.7715685896 62725.496833501755, -45944.18574742779 62702.44682497118, -45945.056972275444 62701.46115616018, -45947.498280059495 62698.79965956111, -45948.42275557262 62697.79217119346, -45966.98427259966 62677.55788249425, -45968.02122614747 62676.42487764276, -45972.251538322904 62671.94043078136, -45973.4067733607 62670.71341581819, -45987.82811350915 62655.51135186138, -45997.418946032645 62645.40496738843, -45998.89609106011 62643.98057811708, -46003.54087025384 62639.69680221376, -46032.54018180788 62612.965187382724, -46033.96391612697 62611.69513966551, -46035.15670976051 62610.63230206654, -46058.975415298344 62589.66792851828, -46060.51849789074 62588.33131496712, -46061.74682852171 62587.259000705744, -46065.5705570821 62583.92646799001, -46066.854865286594 62582.83551235135, -46076.078899679706 62575.01776294791, -46080.62728812841 62571.165339576364, -46085.16670006029 62567.3160840797, -46093.114917785584 62560.680665155116, -46101.07678684728 62554.22190815031, -46112.506399496 62544.95201107918, -46113.03903957053 62544.51966381088, -46125.17966673853 62535.07669931033, -46137.97711686371 62525.12305410185, -46155.36114387502 62511.91620518653, -46164.57175927594 62505.0502836177, -46174.328646147806 62497.94129678072, -46174.78114970187 62497.60938341527, -46184.952167572264 62490.20281268693, -46187.23842486769 62488.533653145634, -46187.430615640136 62488.395835063435, -46200.241023539485 62479.42277704251, -46212.347495731825 62470.94100007245, -46212.66678503299 62470.72824178183, -46225.12959891468 62462.32087790188, -46237.657444451776 62453.87277100739, -46238.70115797569 62453.16546111712, -46250.746010865696 62445.28244829807, -46260.05295416301 62439.19258596146, -46264.1736768433 62436.61791672055, -46276.9882252803 62428.60637220116, -46280.16306381202 62426.62312978319, -46290.706330071895 62420.230255037335, -46299.44363987561 62414.9289565112, -46304.68385885473 62411.83009609903, -46317.91009020122 62404.00651534782, -46320.46675468702 62402.49621265178, -46330.79312655614 62396.45535089348, -46341.19641932716 62390.374072389066, -46344.036183059725 62388.80520313205, -46358.1671842189 62381.0047257324, -46371.508999467806 62373.641882865464, -46385.27935280771 62366.04464546535, -46398.30790993634 62358.85375173226, -46411.78582193659 62351.41579085619, -46425.53543596352 62343.82801071753, -46579.16691230062 62259.58443362825, -46579.18472248619 62259.572092542534, -46612.076343274945 62241.559738299016, -46612.12916373542 62241.531802458856, -46672.72439919579 62308.648521385585, -46673.36757454006 62308.12639362877, -46677.30714594093 62304.928791041246, -46677.4104682348 62304.84130163054, -46690.31858998368 62319.14142168667, -46701.05382179493 62331.034542819754, -46718.91805640773 62350.82602169612, -46726.66957322953 62359.413676732, -46743.17610724534 62377.708013822965, -46796.95805899831 62437.30523443108, -46848.00217066501 62493.86903637867, -46865.47860290827 62475.57155237448, -46883.39956170733 62456.806086826036, -46901.70135731751 62437.59810531699, -46916.292845320415 62422.33485988604, -46919.92273695095 62418.52551326233, -46930.763731658066 62430.40534205289, -46932.64855670488 62432.51393999721, -46950.8856687159 62452.5616652648, -46951.46290649694 62453.19623269909, -46970.56061529418 62474.19539905412, -46971.399961661526 62475.11015956271, -46972.42364341812 62476.23056580954, -46974.07108153822 62478.04485107974, -46975.4382205636 62479.55951275749, -46979.14800514437 62483.630745499904, -46980.0014749811 62484.56906652081, -46990.09408308184 62495.66262023344, -46991.58848967467 62497.3041872247, -46992.14322016785 62497.9139295247, -47002.429858628115 62509.22404761737, -47018.23639622086 62526.59752105885, -47029.742528454844 62539.24693018635, -47041.26326517234 62551.91215115667, -47046.29968555805 62557.449857616244, -47052.75132286037 62564.54926618616, -47064.0555972206 62576.970092184885, -47066.54743989755 62579.705892753474, -47086.8656236076 62602.04412843098, -47096.76775321062 62612.93029445692, -47098.0375062667 62614.32621014098, -47108.760332456666 62626.11068943929, -47096.7322630206 62638.56855492235, -47081.4191197094 62654.426314041295, -47036.550886350924 62700.889718731254, -47025.79593261863 62712.02288608368, -46995.223897158525 62743.67931884934, -46962.20181776996 62777.884370707376, -46977.73137019229 62795.36313653239, -46993.664966580924 62813.301642682614, -46994.90898510697 62811.99613372455, -47005.465891936125 62800.97549524666, -47016.010960487176 62789.96425547332, -47019.80680322406 62794.225713839216, -47044.87422860766 62822.36216660055, -47047.72938821027 62819.422062719175, -47067.17533397937 62841.1257254405, -47111.82411581529 62890.950570911875, -47152.818781595015 62848.30585061968, -47154.555091712224 62846.56853258231, -47174.97783362693 62869.02948896078, -47213.98366004879 62912.008417149016, -47227.45391587453 62926.81105013835, -47240.923983165456 62941.645021384706, -47254.30304499758 62956.38400928408, -47265.75625132182 62968.995389046984, -47267.80251114468 62971.21826003494, -47281.12596484085 62985.893955794585, -47283.544408199734 62988.56628304786, -47294.22940110098 63000.36364795002, -47300.863869075474 63007.576754756505, -47306.556343984885 63013.91533588141, -47315.95176457024 63024.23761746022, -47321.95244208591 63030.842441071174, -47355.36805821129 63067.628345578734, -47384.6153162428 63099.80740840857, -47409.098842714455 63126.77447817001, -47421.109037650276 63139.990653978486, -47423.18160328072 63142.27672542221, -47427.01000987675 63146.50035065222, -47428.23202605838 63147.843326619324, -47436.41129431282 63156.83218356137, -47460.28792156188 63183.12805862652, -47463.974275664434 63187.188783082864, -47494.8234787929 63221.148730584915, -47507.416772586555 63235.03281514082, -47511.61466742533 63239.630602503115, -47515.115070337524 63243.464840569046, -47525.21664817601 63254.603836637885, -47535.66153832825 63266.103661612724, -47554.69541837946 63287.06132137531, -47565.9110232824 63299.4191807125, -47572.23147323398 63306.33139736575, -47578.217786327536 63312.87941247238, -47639.78655169235 63380.73890087042, -47661.306316812355 63404.43533214247, -47681.759141066206 63426.95710696696, -47703.183361626 63404.690171267524, -47724.31151904469 63382.73387682946, -47739.67050125664 63400.039002461606, -47745.751794692726 63406.8984118594, -47749.734400291556 63411.389214644754, -47707.75073269716 63455.105563585355, -47705.07251078132 63465.84284102485, -47703.89681073716 63470.43578752862, -47703.62775874849 63475.39297059533, -47703.924309297436 63475.55471361013, -47703.94001756196 63478.40463112538, -47703.14490163005 63540.24924176291, -47703.14339846978 63540.36558860621, -47702.758247506325 63570.16433648152, -47702.67054179903 63570.16338604046, -47680.773740534125 63569.96403311042, -47680.75901975185 63601.56756110179, -47696.114319225024 63601.748458308255, -47725.84703276583 63602.10242687844, -47725.65105931237 63618.207536958704, -47725.460917067816 63633.716796311455, -47725.07336947456 63665.617904322215, -47724.74858128259 63691.86386009865, -47724.69783879763 63695.50153448857, -47724.48977828638 63713.0283124576, -47724.21000361391 63736.074674155345, -47724.009170814876 63752.55488138762, -47723.766840647455 63772.76105567412, -47723.61939684999 63784.33001469163, -47723.42517301061 63800.088175343764, -47723.236011956185 63815.978897493485, -47723.12740258321 63825.013420467, -47723.11141385361 63825.87715028126, -47723.10308915569 63826.570594390025, -47723.04257845188 63831.55127192877, -47722.85127487468 63847.31261456993, -47722.46637316035 63879.283199492864, -47722.36583202236 63886.6185755838, -47722.27178155848 63895.6864978297, -47766.383732433824 63896.43971991504, -47813.65698370147 63897.24191365075, -47854.74560339994 63897.9405210655, -47865.64635343465 63898.14935150627, -47894.86587120898 63898.80628565943, -47894.73927284801 63908.325316390954, -47893.80378050263 63960.238925869475, -47911.36726281917 63960.496599981496, -47928.933820010585 63960.68814085579, -47939.8611212691 63960.81626292833, -47946.70093859403 63960.893333822176, -47963.79306416515 63961.10447829078, -47963.511622044534 63985.09357611353, -47963.50691526267 63985.462474445514, -47963.49245323926 63986.60671458962, -47963.05031650443 64023.07874508059, -48029.04612779714 64023.972501547854, -48028.76530225924 64045.40801254524, -48028.49493374259 64065.89780831641, -48028.22475853927 64086.38760848781, -48027.890111429675 64111.605955790124, -48027.558542004066 64136.82107532376, -48027.22740382583 64162.010755182266, -48027.22699305531 64162.03929775699, -48027.20945239259 64163.21831791507, -48026.904986992406 64179.503662970805, -48026.88405890753 64193.99538814004, -48026.88274321958 64194.87214017769, -48026.871444089134 64202.713264493555, -48064.673951549754 64203.10532303735, -48065.49909089866 64203.11391924882, -48079.08446109327 64203.254795210065, -48093.229762578834 64203.407771286766, -48107.375025638175 64203.554431899815, -48125.02725778075 64203.7432868412, -48135.66872038414 64203.82900000235, -48135.6546797774 64205.49963433004, -48144.31866632728 64205.62635174936, -48161.70522770767 64205.87693587379, -48177.32368214133 64206.10317249064, -48198.426274961195 64206.406104310685, -48200.60407678631 64206.45137232887, -48217.81684247265 64206.60273185021, -48218.25442532737 64206.60662642715, -48218.38878789713 64189.63816759505, -48218.73816420726 64145.532194266016, -48218.75398955363 64143.51710064776, -48225.83247860466 64143.62362976202, -48240.47240880043 64143.848234403595, -48243.80241455331 64143.89655281746, -48262.57402400747 64144.16862803636, -48262.58012511454 64143.538128157445, -48262.58864665846 64142.38762204555, -48277.264110794895 64142.58711764102, -48276.65261267755 64190.28142801895, -48276.72272449864 64207.39969464076, -48278.873992277724 64207.42261186983, -48310.7007123492 64207.808685767355, -48310.71243791974 64205.98021804359, -48395.76572979751 64207.16054298794, -48404.21182313583 64207.28612544123, -48404.19845531287 64208.79942187946, -48412.466278911364 64208.83467504201, -48432.20681655051 64208.892542960704, -48459.198810540285 64208.98114296552, -48459.49659311233 64208.98245538529, -48479.91660433679 64209.04884593517, -48508.38900779761 64209.14364764488, -48532.73537488493 64209.225067639396, -48534.940745812215 64209.23083184649, -48540.6274180089 64209.50080632901, -48546.51551826793 64210.14696851657, -48547.33999764571 64210.29272192467, -48552.637293428415 64211.23868754476, -48565.01525942724 64214.84138357758, -48569.92139899649 64216.80366095439, -48572.89111494854 64218.21445222942, -48575.79315265207 64219.59649485113, -48582.19150017018 64223.21150537002, -48589.18760166162 64227.50414402514, -48612.13214160037 64241.59992175981, -48613.810814805016 64242.63112010028, -48618.08317284579 64245.22535767277, -48675.85472167581 64245.315013729814, -48678.94306159797 64245.36135601155, -48711.72254992026 64245.568813237995, -48711.878715992585 64245.56666738758, -48715.87729087254 64245.61067773466, -48715.88938071944 64264.47793035067, -48735.953767794665 64264.73210704222, -48735.99010909973 64264.729272460296, -48736.14343612798 64264.72063468953, -48736.296710034 64264.718099351536, -48772.07263958516 64265.07870074997, -48771.540049500436 64246.066661074015, -48807.49286473349 64246.42814296302, -48807.71216205781 64246.42327367508, -48807.821437860264 64246.41632850985, -48830.133607774354 64246.174071207104, -48882.91536592872 64246.297633803544, -48900.394408444394 64246.346705989316, -48918.194556682465 64246.400513320485, -48929.98268790715 64246.4349569357, -48941.77389682994 64246.46617156993, -48949.159104533486 64246.533090413606, -48968.288423134305 64246.5364061444, -48976.522482529595 64246.56010005574, -48988.31078917091 64246.59132894293, -49002.28292713937 64246.62709160304, -49002.48013547673 64246.62761835172, -49015.86281482019 64246.64447599042, -49030.00867813017 64246.683841056205, -49055.500694499446 64246.75547350722, -49078.163483695134 64246.81671900917, -49091.69799264934 64246.68107518131, -49091.58915292149 64255.83238632117, -49404.96209141186 64257.41353384557, -49404.972153217044 64248.239246554345, -49404.97022779279 64236.8903013512, -49405.003885967264 64226.32962657497, -49405.0756482076 64205.460519534914, -49405.08231270585 64204.10191323481, -49405.1261887183 64184.750567551615, -49405.165831059865 64169.30197548489, -49405.165913687364 64169.27497577336, -49405.17780951957 64163.81542089378, -49405.215914401895 64148.082799967815, -49405.21519875027 64148.06467564368, -49405.06276653455 64143.195708865365, -49405.08169790171 64135.06253056116, -49405.11092763103 64122.35812814648, -49405.11230537431 64122.0774901689, -49405.14693899406 64106.466540513975, -49405.126500740625 64101.55172751004, -49405.18143572113 64090.86510453747, -49405.143713068086 64081.02915005646, -49405.21488795798 64070.05143179182, -49405.42659456511 64060.4133742096, -49405.3400658344 64049.09863305914, -49405.5610549044 64049.099704614855, -49414.47293310317 64049.12033301225, -49437.87255131879 64049.18180228719, -49443.97303992716 64049.19834965802, -49461.71422388288 64049.24230277095, -49470.025032602935 64049.25995085911, -49472.44744478294 64049.27781455001, -49485.028326124666 64049.347557246234, -49508.784156810674 64049.44541946493, -49520.569419840955 64049.48607389566, -49531.91537681914 64049.549693020446, -49531.99271334888 64031.833133222295, -49532.012106088754 64026.00123718455, -49532.08427907608 64002.04263116877, -49532.155089826265 63978.3679730109, -49532.22578750869 63954.7215540272, -49536.95877228062 63954.734667581906, -49551.971021623904 63954.76860023659, -49571.59845330486 63954.81531816366, -49586.910270700115 63954.84873440107, -49600.55116666334 63954.88636834692, -49600.64919674762 63983.62069886865, -49609.799903308965 63983.6760633981, -49665.97333346238 63983.92267164545, -49665.882450504505 64002.64807472644, -49665.79370024865 64021.49933761254, -49665.70320437659 64040.13019115648, -49665.60932390154 64059.45431242754, -49665.562534743614 64072.73231291409, -49665.54136308993 64078.30583056094, -49665.45811947844 64097.251902933276, -49665.407894044474 64107.58545615228, -49665.3654008017 64116.35538237228, -49665.27354885845 64135.23842040708, -49665.18624631629 64153.83769924432, -49665.15441658837 64161.633672638796, -49665.10899915252 64172.75227492446, -49665.0237306702 64191.540518128175, -49664.93750606468 64210.48981513367, -49664.849524413425 64229.81398714828, -49688.4259774617 64229.86693819791, -49696.70712552186 64229.89119078261, -49720.87296096396 64229.9621925506, -49738.9073466484 64230.33208831985, -49738.85799881491 64244.13981111705, -49743.35395682093 64249.25249267816, -49767.40471170398 64249.35809218128, -49793.927783236955 64249.5133098895, -49794.005628075625 64230.4441908055, -49794.08410894341 64211.27432237871, -49812.149130934 64211.40491030187, -49823.93701041709 64211.4927473576, -49823.81518624883 64230.50159274173, -49823.766246784086 64239.97142582358, -49823.71337685641 64249.63678622898, -49823.59992828567 64268.733899707215, -49827.07757577905 64268.741152266775, -49827.54893594028 64268.74026664094, -49827.79351909538 64289.98600259579, -49826.96840034914 64289.98839945897, -49825.81606324984 64289.982893742344, -49802.84661404307 64289.939338342454, -49802.772941802956 64289.941981653894, -49802.67830679126 64309.42704921214, -49802.606643635874 64329.63103672765, -49802.50850698902 64349.2390159033, -49802.41307583793 64368.87862217203, -49802.34405211086 64388.54967524906, -49802.24774513571 64408.37857998446, -49802.1756232371 64428.04975370878, -49802.08821734399 64446.0428709961, -49784.35248900977 64446.09135569531, -49695.70637850877 64445.607599352596, -49695.66986422867 64451.912332486514, -49695.590625598765 64466.41342038521, -49695.54329947291 64481.009317322605, -49695.460100511766 64495.10050802698, -49695.32503372398 64523.50379430577, -49695.2626796008 64542.387001115625, -49676.28395271457 64542.30890645395, -49673.82618121358 64542.297120979696, -49672.747559341646 64542.29507404309, -49672.6956402132 64551.75219798347, -49672.640816215804 64561.20944929116, -49672.604925509324 64567.5793750263, -49672.53300445089 64580.37612306498, -49644.065046482836 64580.20227701021, -49643.93357475582 64595.74331935049, -49643.80093615824 64611.505207232054, -49643.66249797691 64627.26693616436, -49606.55895581335 64627.199932522446, -49588.87597232673 64627.3138350475, -49566.06306791942 64627.220455130235, -49566.0658464982 64629.679569513915, -49566.06906591665 64658.745534771835, -49566.073168086186 64674.4139075484, -49578.83395240144 64674.488438825814, -49578.84904502012 64690.59948778118, -49578.92897548585 64717.238612359884, -49579.0344561016 64753.145992430975, -49584.00315610538 64753.16347132061, -49599.195104614904 64753.22661044791, -49608.035842268146 64753.2536435131, -49608.09688890738 64777.89658883074, -49616.68164549041 64777.79165360366, -49636.031503609 64777.9174601599, -49646.56409770325 64777.98594241911, -49651.37941280349 64778.02229607946, -49661.917835000735 64778.1015905578, -49673.14888145086 64778.169903447124, -49673.15906285068 64810.04487046381, -49673.321059355636 64810.04557100809, -49676.07634298315 64810.10914124742, -49705.578912202414 64810.2501909972, -49705.56563198943 64778.40679692967, -49732.1478859829 64778.508620256995, -49737.15778368311 64778.52638304853, -49756.60815024757 64778.60047517398, -49761.373384711274 64778.62013996363, -49761.26058065409 64793.97225842181, -49761.25593522717 64794.3190183625, -49766.53415808185 64794.34421084442, -49786.632657593305 64794.446651056445, -49791.20052098902 64794.46847474141, -49820.70016746493 64794.62210858088, -49820.66928495181 64798.53095786196, -49850.19572116382 64798.621682472316, -49850.20254603205 64795.342014176786, -49856.974930772725 64795.41214465969, -49863.752741549055 64795.489767866595, -49877.10280138331 64795.547425535886, -49881.55277056014 64795.568711782464, -49897.4961023022 64795.63863428761, -49897.55092741472 64762.53763086807, -49902.56382654496 64762.55525380255, -49915.23600608212 64762.606389659115, -49932.9181619443 64762.67206277333, -49932.90671623125 64767.08537568142, -49932.82581968047 64784.10845061875, -49932.8157376066 64786.78809064973, -49932.75017737698 64794.823459832565, -49938.6736894199 64794.83915367077, -49952.52492046028 64794.86754623974, -49952.61559756673 64773.77468968116, -49952.66317603033 64762.77265174354, -49968.40025748284 64762.832058850305, -49981.66196148052 64762.87972618459, -49987.11405684076 64762.902507662264, -49987.047936658186 64782.54227638967, -49986.97052046128 64799.691558219165, -49986.935770377284 64810.43509957291, -49986.92931214499 64812.4274790666, -50004.49379224233 64812.44832642039, -50004.30339404809 64858.28794480325, -50024.35545699094 64858.29229958442, -50029.85762347409 64858.47400711007, -50035.34172835439 64858.98162339029, -50035.82278673053 64776.84880168618, -50035.86305661526 64769.8945773879, -50050.129535642714 64769.95011418768, -50057.20230238201 64770.01414630948, -50063.921539437746 64770.03490024017, -50071.937226310394 64770.104816301464, -50093.9218692205 64770.238064233425, -50108.95443381886 64770.33188634896, -50117.64514234497 64770.38288128914, -50120.24450370994 64770.39530629787, -50122.802375186744 64770.40752933083, -50147.08567377865 64770.548797486066, -50159.02693490113 64770.61840430201, -50164.53198768832 64770.650994321644, -50165.34834210492 64770.65497423216, -50173.0016076461 64770.70101282725, -50176.526246310954 64770.72090652937, -50178.57741539155 64770.73553348826, -50179.264042444614 64770.74031600374, -50179.38483649394 64770.74092455392, -50188.146304913644 64770.78970240017, -50191.2612795656 64770.80709923339, -50191.549989409636 64770.81156863296, -50195.53426304447 64770.84328761393, -50204.52269563755 64770.88615596196, -50205.58366019642 64770.8943315571, -50218.63868661243 64771.00406229501, -50232.754657105004 64771.1188607943, -50232.9904661254 64771.12302353314, -50256.89325692607 64771.31913439764, -50256.79307380632 64794.96243026928, -50256.75774863712 64810.72479625766, -50256.721430752295 64819.16092304103, -50265.568402736 64819.099463504106, -50273.78376129307 64819.065656562576, -50296.41659484976 64819.220971091425, -50296.62938711112 64803.33340722444, -50318.411415198585 64803.30812652974, -50319.14815502575 64803.30858549619, -50321.29946281093 64803.306284735605, -50330.131945768255 64803.295216042716, -50333.353260466654 64803.29129969123, -50333.50933957769 64779.6482890145, -50333.67190027735 64755.910688735545, -50336.61892588934 64755.92162966599, -50353.50246254341 64755.989676078716, -50355.45043938086 64755.99589247276, -50361.94273763011 64756.02148401882, -50363.02430573139 64756.025667084825, -50363.71387064214 64756.028975694804, -50374.871230862555 64756.0727883842, -50387.99745913774 64756.122867188664, -50394.115442355236 64756.1362696913, -50412.829316667514 64756.17202284426, -50418.61903698947 64763.515915197604, -50420.30124911878 64765.6440943612, -50431.816822659835 64780.108530778925, -50434.03608512322 64778.06338339108, -50441.86917449347 64770.87208820185, -50459.75534372136 64754.42253644752, -50507.43345834609 64813.803657551965, -50507.14620184314 64814.0669726774, -50507.30453763989 64814.26010180367, -50541.69951050771 64857.385492091875, -50566.0119361242 64887.88011589029, -50570.462304483204 64883.59501722022, -50589.34795918729 64878.91937512984, -50623.70983285543 64870.32799279372, -50626.87926580202 64869.45102942184, -50668.90934589403 64858.80005888131, -50674.62184464664 64857.352534582984, -50680.38459143264 64855.910933354615, -50682.12250967382 64855.47482152221, -50682.54748880564 64855.369620732, -50695.17650100182 64852.16385815619, -50700.08279996031 64846.812255445184, -50700.64873082576 64846.19393419331, -50702.04127708169 64844.68104247988, -50716.579724535986 64828.817664032846, -50718.11361833515 64822.469596062845, -50733.24546121334 64759.73765528991, -50749.071878223964 64694.13379955089, -50773.67676209953 64694.200807219146, -50795.03995390518 64694.25867293418, -50856.50947565662 64694.41957590312, -50861.6756459794 64694.43467446548, -50855.92297219388 64702.91590009968, -50789.48484510147 64800.900077569204, -50779.90594124935 64815.03447341832, -50774.45707741287 64847.680975647876, -50772.067012764324 64861.02038100627, -50771.498608785885 64864.24106183275, -50771.409263286194 64864.756004723, -50768.94010421834 64879.8986547114, -50763.74221930673 64911.77380891132, -50763.24203818926 64916.852655652394, -50763.415431225956 64921.95578479692, -50764.25890327493 64926.9813006, -50764.40512409626 64927.57726479593, -50785.48453478896 65015.67679875995, -50785.69791857196 65016.66131301419, -50785.57901701594 65016.85939218474, -50785.48743754233 65017.65836303068, -50785.270417778804 65018.429287547784, -50784.934216555375 65019.149679793205, -50784.48853945135 65019.7984928308, -50783.94632010551 65020.357147302886, -50783.32343529856 65020.80931677206, -50782.637913916944 65021.14163026523, -50781.90962159292 65021.344698297515, -50781.15978754174 65021.41268604996, -50759.58409988363 65021.448436621125, -50751.598298039426 65009.99714764845, -50744.142946781605 64998.143513655996, -50737.235542939285 64985.915531622624, -50730.89268546217 64973.34231200049, -50725.12912407277 64960.45343205271, -50719.95871316926 64947.2794791507, -50704.59373209062 64959.75953783319, -50701.68557735665 64962.120673224264, -50694.66128329584 64967.82352420771, -50677.74678588222 64981.804008364175, -50677.5271157233 64981.98557704962, -50716.62333422489 65030.2119715015, -50871.77290444848 65221.5933305397, -51003.237131271024 65383.75843644781, -51066.138655669056 65461.34931344004, -51075.061420875034 65473.27035265517, -51083.43344250169 65485.64025498272, -51091.23502584378 65498.42992946634, -51098.44804560208 65511.60939688403, -51105.05546510879 65525.147673152605, -51111.96511709752 65541.06684378126, -51117.05255005362 65554.47342559288, -51121.379187877894 65567.46466615342, -51125.492706330886 65581.7692509214, -51129.38736967179 65598.12114329387, -51132.02262816245 65611.866971505, -51134.19933785298 65626.49041679612, -51136.093149096974 65645.42695873177, -51136.913202001706 65662.75681328514, -51138.21009360693 65769.39610205278, -50197.59403340024 65778.96780663931, -49600.90508592097 65785.03052817097, -49600.92893649735 65787.43507039931, -49600.99417736773 65794.02727467341, -49601.329782275905 65832.92782457857, -49601.364821114454 65837.84291483379, -49601.48395958059 65853.9591458517, -49601.64992131819 65870.7840835686, -49601.72956426435 65887.7327749513, -49601.90264454119 65904.8429255914, -49601.97711264183 65921.71874523466, -49602.09022614297 65936.66224519358, -49602.204929904285 65953.06544047412, -49602.20873610807 65953.49736731728, -49602.38314131909 65970.39205417284, -49602.51802878848 65988.70310339327, -49602.5053663676 65989.99874331226, -49602.489006050026 65991.66951494779, -49602.673880173934 66017.30036346536, -49602.729129744825 66024.7249006279, -49602.82514109295 66037.72958998343, -49602.93627695672 66053.06088649217, -49603.051142669625 66068.87448993893, -49603.21492477766 66088.54955618666, -49603.341505645556 66107.60463191362, -49603.49981570641 66125.14298675318, -49603.567690393815 66139.67959604572, -49603.72998610031 66156.01963163105, -49603.85587353036 66173.17669365958, -49603.996320908576 66192.09248002738, -49604.11038029337 66207.54106632862, -49604.22396400805 66222.98932876618, -49604.31481644347 66241.88834356105, -49604.50286223677 66260.82342861571, -49604.644120909594 66279.6825401204, -49604.72474284569 66298.27339013616, -49604.85399998054 66315.93136630916, -49604.98120920166 66333.42851631259, -49605.10309849949 66350.79961522201, -49605.17632289596 66360.00531112863, -49605.25680785195 66368.29686708361, -49605.32354350451 66380.04366177325, -49605.34716560048 66384.06075273166, -49605.463303681434 66399.82648007611, -49605.57826389574 66415.58896761392, -49605.69617489252 66431.35339742745, -49605.7935252307 66447.11612706851, -49605.829707184545 66458.4685412542, -49605.84154792072 66462.09093812824, -49605.927085064795 66469.97584408404, -49606.04093901786 66478.07836570368, -49606.15075955377 66493.08507278882, -49606.27453264713 66510.06825997203, -49606.37720036571 66524.71236681168, -49606.38494716282 66525.56680870464, -49606.50170817171 66541.582910138, -49606.61178359458 66556.96133699016, -49606.72649565309 66572.9505864801, -49606.83976218949 66588.45903929925, -49606.688118156606 66604.5142582908, -49606.84089547407 66622.19128057863, -49607.19228876434 66637.22744549897, -49607.19646488161 66637.57734180764, -49607.42442204531 66676.19400095307, -49607.43453739496 66678.35038813941, -49607.50284044509 66680.05936898528, -49612.52205473667 66683.01531836619, -49615.863301877405 66684.98574832581, -49631.732458432234 66693.8303427062, -49622.017514627005 66724.28342173343, -49621.91871001892 66724.58870906412, -49608.01927840991 66767.88224925981, -49607.959543693425 66768.06176766918, -49608.979108746644 66882.14465109502, -49609.29343844913 66915.7114150476, -49609.45888282801 66933.21527735957, -49609.769258412765 66968.20361086917, -49609.7714414817 66968.37075062445, -49609.8945885295 66989.73616177485, -49609.89675109581 66989.90019730777, -49609.8814395097 67009.43966932547, -49609.871899832 67018.06498413923, -49609.87944100148 67035.1256725777, -49610.0008882928 67050.42307827999, -49610.015181446906 67051.6687585774, -49610.214814658735 67072.46394127996, -49610.44259040162 67095.31161453188, -49610.520235955955 67117.55318021351, -49610.6496053192 67123.08970258082, -49610.76506739123 67138.74903497625, -49611.185192112636 67195.44358425797, -49611.19272843336 67196.31053725515, -49611.292712803304 67196.35506428574, -49650.400898373926 67213.19081349527, -49675.97196509407 67224.19889653238, -49697.68181276861 67233.5270179592, -49716.4044810184 67174.0773652229, -49749.3713039744 67069.5102452952, -49769.765005772046 67004.59586316529, -49778.1714926784 66977.61541109948, -49809.19306217785 66990.7837860047, -49819.38356941792 66995.10741485686, -49827.32719588344 66998.46816684163, -49832.012281200965 67000.44507611573, -49841.81164305189 67004.60283508028, -49844.6731953924 67005.81454702267, -49846.04375742595 67006.39491198605, -49857.3020223966 67011.15541263994, -49865.14257272162 67014.48727321673, -49869.93055620757 67016.52792456854, -49876.83014559936 67019.43909289376, -49882.5621510234 67021.86244565542, -49895.22306894489 67027.23180136191, -49907.854776446795 67032.5696301793, -49920.04524297708 67037.74125744624, -49920.13048636632 67037.7794844062, -49931.756481357625 66997.77875236017, -49933.94742302908 66990.24197674815, -49934.3004251895 66990.38559169006, -49947.286998148295 66995.44446339204, -49960.36917014924 66951.13475105025, -49961.33573272557 66948.12556530583, -49947.994065724466 66943.33922454744, -49947.626340586656 66943.19251776952, -49935.15265641524 66938.72244951109, -49922.278772274185 66934.10861238201, -49920.57831804434 66933.49523817767, -49909.43717016746 66929.49182600871, -49896.598681958385 66924.87822529108, -49884.81023060435 66920.68260087508, -49917.10217559593 66817.5954461787, -50189.41451459614 66809.42745872866, -50246.05449785449 66807.99522142364, -50245.15788121494 66812.92241670153, -50239.365908119085 66844.65351057758, -50238.2881401811 66850.5373752624, -50233.72585245278 66875.61004254853, -50233.60509393111 66876.27372094482, -50226.01624673684 66917.9876927419, -50223.993221469136 66929.10944276504, -50219.76644921252 66952.3078644137, -50215.45466494461 66975.97861574848, -50211.20092864531 66999.27458067355, -50207.074259796085 67021.87444989913, -50202.91346684133 67044.82409900503, -50200.261380330376 67059.30058267455, -50198.6290482005 67068.33751226199, -50194.411366634056 67091.47285900517, -50191.401982974625 67107.91485392697, -50190.157823592446 67114.70571441631, -50186.86033510634 67132.83609203728, -50186.039969425874 67137.30892104101, -50182.57881634616 67156.3810293367, -50178.14295708759 67180.74794350739, -50173.88909759427 67204.04089218777, -50173.29878851098 67207.26312584204, -50169.64188537022 67227.30339822138, -50165.447462610005 67250.37771103192, -50161.25683281617 67273.41570979691, -50156.7287029342 67298.16050128854, -50149.359101472684 67339.02028737041, -50145.914696645974 67357.65440008797, -50145.070560231004 67362.19320241146, -50140.27649079435 67388.09387182981, -50139.62240425821 67391.68783525113, -50136.54899065205 67408.60230672928, -50136.53890774747 67408.65841442307, -50134.358467561186 67420.8965804129, -50107.073451583965 67409.0321691369, -49857.297590602204 67301.98197447581, -49846.72041065304 67330.90788839135, -49839.759415984416 67349.94935232366, -49820.11679067202 67341.55794520944, -49819.22285077397 67341.17216128802, -49819.205209977015 67341.16578254152, -49721.07621963942 67298.90636441714, -49721.048747230045 67298.89464779578, -49682.538709739565 67282.30671919949, -49662.99013380623 67273.57145610059, -49617.6018420741 67419.09783580278, -49608.97131070933 67447.00445677145, -49607.24536913084 67452.58537129463, -49606.76327454947 67454.14989249474, -49590.984509096364 67505.17753915497, -49577.816342077174 67547.77186128122, -49570.251847483705 67572.23429251685, -49522.95872870816 67725.38121558097, -49531.19728486073 67728.30851478051, -49539.26243618764 67731.1521396561, -49586.45752959306 67747.90673269084, -49587.02864384531 67728.01986354751, -49587.55445724049 67710.14726693567, -49599.97851028802 67707.88650679424, -49613.018923843905 67705.50250203277, -49625.065409562216 67703.30280675161, -49630.99711208813 67702.2183036635, -49648.20270825575 67699.05028094778, -49652.27553627149 67723.90569588996, -49655.74175053985 67745.04457441425, -49638.23498592989 67748.33720904162, -49620.64009576071 67751.59473915547, -49603.378305421385 67754.82556713762, -49586.169416015575 67758.0566967869, -49534.96539596117 67767.5941054909, -49517.90116301039 67771.29574762784, -49508.18578506419 67773.09231053424, -49507.33586910653 67775.89269061344, -49246.08941901292 67822.06077063031, -49247.704158511566 67832.24285859501, -49250.22018987513 67844.39028387901, -49259.84305717633 67906.73116252857, -49261.08246760259 67914.75216438589, -49237.55944406246 67919.18455290182, -49235.154015674736 67904.63637426177, -49231.50516735379 67881.67116031647, -49226.16252997819 67848.84002820561, -49222.727354490555 67827.70228474084, -48830.11497348111 67899.33515136094, -48572.0075834009 67945.57642949051, -48571.30825547695 67941.00757033695, -48448.537401397945 67963.6386383973, -48420.78441783664 67968.75444483367, -48425.41346231915 67999.73819608719, -48431.53319274688 68040.70068346467, -48436.32841730818 68072.81073401937, -48391.90898664759 68081.03390497481, -48369.33222916596 68085.18163556013, -48369.32114546598 68085.10912099128, -48368.34503127213 68078.71105877006, -48367.660216456046 68074.46113282061, -48365.55390744165 68061.5191658268, -48362.7759127539 68044.29287014925, -48360.066378279735 68026.93747127688, -48359.27456619426 68021.87694665781, -48356.839135895374 68006.34188186565, -48355.16425117046 67993.85563227136, -48353.56132904303 67980.96373698527, -48336.10319422635 67983.98841025989, -48318.644863347676 67987.01317613476, -48289.47122545463 67992.07176614698, -48272.032050312664 67996.2976360959, -48265.396976576034 67997.6844051546, -48263.82335834334 68002.04039185657, -48166.67398895783 68019.43062253023, -48168.02426151746 68028.6831035513, -48171.27341380146 68049.09122137283, -48171.302916632645 68049.28021262362, -48171.37466804591 68049.75361871888, -48173.79590699534 68065.74422860482, -48123.92010719286 68074.86496414499, -48074.92287577537 68083.91418881189, -48072.34719472508 68066.70551492026, -48072.211937265274 68065.61595317996, -48069.87107008235 68046.75448823515, -48068.777822312695 68037.51679212802, -47914.03776249219 68065.85339478777, -47837.898150810826 68079.77021632841, -47839.31227728875 68088.87216507978, -47841.224142433035 68101.20020907553, -47843.43091650999 68115.89560807408, -47845.985832481725 68132.9254705303, -47846.44490016521 68135.4969831823, -47846.54081140508 68136.08547152013, -47847.387816988914 68141.6080934267, -47851.87107753141 68171.20087612722, -47832.149352079236 68174.89553440892, -47830.31958474466 68175.1678602058, -47827.23076092098 68175.32919696343, -47827.15377859049 68175.32874695322, -47827.079502754954 68175.32837095525, -47827.00786721833 68175.32682571278, -47825.608979667646 68175.28929348772, -47824.94615516232 68175.24851009075, -47824.288088615955 68175.17940669817, -47823.104002010485 68175.06022585643, -47820.89606507133 68174.91004472277, -47811.17533483015 68174.24941889607, -47810.85995322176 68174.26355392007, -47810.730412830664 68174.25670068947, -47810.680294307764 68174.25336440917, -47810.50056176191 68174.24617306619, -47810.32075304826 68174.2420832958, -47810.137978684004 68174.24453352965, -47809.958208408476 68174.24675556197, -47809.77845862599 68174.25208179964, -47809.598645545426 68174.26392396422, -47809.41883500815 68174.27566274958, -47809.24194476888 68174.29058504502, -47809.062020332836 68174.31483875563, -47808.88216952424 68174.33609428698, -47808.70514235844 68174.36053068854, -47808.52535302245 68174.39109884735, -47808.34828559065 68174.42505200623, -47808.17133784987 68174.46200862549, -47807.99729245771 68174.49894116598, -47807.8201872985 68174.54230769306, -47807.784769491474 68174.55478822654, -47807.64610418027 68174.58865360034, -47807.47193981388 68174.63830784427, -47807.29789259879 68174.69106893911, -47807.12666902811 68174.74701089988, -47806.95538723508 68174.80926202067, -47806.784283351975 68174.86820745456, -47806.61591932346 68174.93374547169, -47806.44459980731 68175.00540996068, -47806.279275772205 68175.07713496947, -47806.113875569084 68175.1519615367, -47805.94849331778 68175.22999569132, -47805.78593470742 68175.31121071616, -47805.623475298366 68175.39232500589, -47805.46395160391 68175.47993377653, -47805.30435428032 68175.57054074058, -47805.14767725837 68175.66433120336, -47804.99099769682 68175.75822505807, -47804.887454731776 68175.82708763193, -47804.837355589385 68175.85840928224, -47804.77820626878 68175.89589762822, -47804.68064084197 68175.96161312031, -47804.53282138653 68176.06495676869, -47804.379044891946 68176.17455171554, -47804.23406957415 68176.28418043809, -47804.08911474545 68176.39691338158, -47803.9441753319 68176.51295729309, -47803.80212031636 68176.6257695356, -47803.66304453579 68176.75118130332, -47803.52385160612 68176.87348621732, -47803.38779278963 68177.00208413778, -47803.25442251463 68177.12754847882, -47803.12128654017 68177.2592265344, -47802.99387148228 68177.39426814122, -47802.86355915386 68177.5291270585, -47802.7390643998 68177.66735218104, -47802.61759168698 68177.80855668803, -47802.49611643968 68177.94986457705, -47802.37748532074 68178.09745754873, -47802.261947338244 68178.24513511188, -47802.1491209255 68178.39267991472, -47802.036406584164 68178.54353834948, -47801.92661762378 68178.69737352458, -47801.82274290192 68178.85457754057, -47801.71877405932 68179.0116755375, -47801.61781964076 68179.1720630692, -47801.51986677195 68179.33232577573, -47801.42173853682 68179.49579079419, -47801.32960578736 68179.65931632253, -47801.240299217636 68179.82591933198, -47801.151107257465 68179.99573258284, -47801.06781412682 68180.16560369806, -47800.98442687273 68180.33536878432, -47800.904051508325 68180.50852679447, -47800.82950641176 68180.68453408983, -47800.75205388518 68180.860772228, -47800.68340507501 68181.03694077258, -47800.61767402976 68181.21639620782, -47800.55204218754 68181.39575092215, -47800.48931269284 68181.57508153505, -47800.42940430253 68181.7576964101, -47800.3753972802 68181.94026575757, -47800.321601526695 68182.12604799481, -47800.27049431275 68182.30869665687, -47800.22540561994 68182.49440665217, -47800.18033487319 68182.68332423911, -47800.141142461216 68182.86919549071, -47800.10197054466 68183.0581709392, -47800.068506665055 68183.24709558889, -47800.03523357334 68183.43612892156, -47800.0077831317 68183.62832167419, -47799.980294250774 68183.81420261705, -47799.95876566715 68184.00945406874, -47799.94011132683 68184.20188738519, -47799.924542324065 68184.39078415072, -47799.91178934911 68184.583171941, -47799.90194380396 68184.77532888424, -47799.89509473178 68184.9675677706, -47799.891262626166 68185.16299282387, -47799.89040903745 68185.35529222435, -47799.8923586054 68185.54766828967, -47799.89730718605 68185.74002290759, -47799.908157129474 68185.9323320135, -47799.983823493545 68186.7543852522, -47800.16549228011 68187.55709465742, -47794.26299947364 68188.69227260476, -47792.056836247604 68189.06458630788, -47771.60842800249 68194.9011439589, -47729.762884468204 68202.31056799313, -47726.84651070694 68202.82287927851, -47723.76927507959 68203.36306884985, -47728.11898892368 68231.36313786074, -47678.184270903956 68239.8685789673, -47673.896651481475 68211.86875631403, -47672.92775953434 68205.62202822111, -47669.66184534936 68184.50300311994, -47668.54577631595 68177.20311256954, -47661.45316366534 68178.51201511711, -47654.28607473328 68179.83263928392, -47625.6863115493 68185.05151578828, -47610.04428090063 68187.9144814142, -47596.73243917059 68190.35690508323, -47588.02798783439 68191.95752618203, -47569.63989193251 68195.30226787039, -47568.459861021685 68195.5456986663, -47542.165736844276 68266.79698347223, -47541.45515186521 68268.68515242984, -47535.785062844065 68284.0825420984, -47520.21072700335 68326.2595838447, -47506.30563550678 68362.90471267857, -47501.87537717975 68375.25739844494, -47504.42758256335 68391.64101450452, -47507.2312217452 68409.66516379885, -47508.69189831551 68419.01005892012, -47510.149573391165 68428.35507863712, -47512.47595012152 68443.31590742327, -47512.95311270021 68446.41088068097, -47514.439318865494 68455.94507150301, -47517.10592469201 68473.0544457568, -47518.70908316427 68483.39950723985, -47519.51479274512 68488.61456734888, -47521.42466559742 68500.73595848493, -47525.53092484655 68527.1168159899, -47525.660258044554 68527.94737192208, -47353.15870208877 68558.29116591059, -47353.65051391512 68559.86409872497, -47337.386996320995 68562.66053314238, -47322.83689296547 68565.21985262971, -47308.28673089313 68567.77761485787, -47293.76757673685 68570.34491178131, -47237.54614908625 68580.21644280704, -47225.35873427875 68582.3552758509, -47213.171110642754 68584.4907899463, -47198.62100353381 68587.0501801772, -47170.79190938772 68591.9541932294, -47156.269111032154 68594.2838220529, -47155.67080036629 68594.38487370576, -47156.42768658829 68599.34679317546, -47142.45027413554 68601.68233939266, -47114.17275322418 68606.70078725037, -47099.86433351091 68609.24555597772, -47103.16915195385 68630.89452274813, -47103.89697040689 68635.7875739578, -47103.62177488885 68636.00071363943, -47096.572767399266 68641.40185859741, -47096.464602278946 68641.23750953929, -47091.61034552103 68633.95130689463, -47088.14372255934 68628.74806290427, -47073.00006261564 68606.01736421167, -47066.46106495459 68596.19397245652, -47059.5445266279 68585.83190562614, -47052.73939746262 68575.58875546933, -47033.586002471755 68590.3106218267, -47032.160963320726 68591.40477113405, -47014.698863048325 68604.81309693208, -47012.178601566135 68606.74609186113, -47003.26604381054 68613.58225990133, -46991.9220288841 68622.27615569977, -46985.75434920392 68627.02884225006, -46976.89006424544 68633.8489462677, -46957.321626091936 68648.88148293049, -46942.88345832079 68659.95013407075, -46938.19791769833 68663.54039858158, -46906.647403154064 68687.7770614403, -46899.44295139288 68682.09608562464, -46899.41358842191 68682.07076333382, -46907.17614455734 68617.76904185022, -46907.17246586797 68617.75735424036, -46907.17744716715 68617.71600515403, -46909.088114954735 68601.92159004851, -46911.61781954909 68581.00375159616, -46913.706589437614 68563.5264459123, -46907.86054991371 68562.72898499228, -46902.01456610849 68561.92531768813, -46890.15121868526 68560.41178053596, -46890.15444994035 68560.37079737538, -46890.163543448805 68560.30773183117, -46892.69759331862 68538.9806403104, -46892.70162613335 68538.94640365042, -46893.57081659051 68531.63244419418, -46894.99343343078 68519.6373977963, -46895.40208359073 68516.1999116719, -46895.61401359598 68514.43539100968, -46894.72470173918 68514.88508576404, -46876.16834133418 68524.36710851245, -46870.50707181679 68528.03463981161, -46824.51349155453 68557.6558449225, -46678.80106561687 68651.4851216647, -46651.32103480174 68669.18048188677, -46651.29743761477 68669.19607847948, -46638.062288544716 68677.67913314332, -46579.13598073888 68715.45667541631, -46552.61001250281 68732.46012099668, -46553.7560660061 68735.23842213371, -46554.252867607014 68736.43088780253, -46554.707253387045 68737.51118547368, -46556.98574828574 68742.92888894824, -46559.129017588806 68748.10256549704, -46560.57157403348 68751.58419833315, -46543.81102394251 68764.51116327931, -46531.80114912709 68773.79132794948, -46528.3254132952 68776.47323176044, -46518.45714624037 68784.08328103399, -46507.444170215305 68792.58967565767, -46500.31219357814 68798.10372135279, -46453.435472938174 68834.23381110176, -46453.25537228785 68834.30854154372, -46450.62198128066 68840.11879706616, -46450.60726144641 68840.13132600216, -46440.36863899081 68846.34296278223, -46421.807197598915 68857.4957948988, -46420.389838162824 68858.34805394939, -46418.254523650685 68859.63193031312, -46417.13719325302 68860.30752822285, -46419.040588886535 68852.37891827479, -46419.74193719368 68849.45720611751, -46420.42769364418 68846.6189689851, -46422.912062612435 68836.25893436251, -46423.7658924391 68832.79205081225, -46423.67579802397 68831.31307743116, -46419.54929510119 68762.6957478965, -46406.291666250974 68542.24348786005, -46405.922198718596 68536.40627779537, -46395.9195076639 68537.71057142338, -46367.28458042144 68541.66154722225, -46361.66683686208 68542.43834374995, -46344.40635883355 68544.78582495432, -46326.02550401404 68547.2792283178, -46317.35222063913 68548.4569584623, -46308.26677210065 68549.69054644345, -46290.82936290459 68552.06244522061, -46273.12668835169 68554.46763101827, -46257.85092836337 68556.5469493473, -46255.45631348299 68556.87307467617, -46234.745669116324 68559.69569259157, -46231.29231135977 68560.17087821639, -46188.63248052576 68565.96457146498, -46161.54909845293 68569.64869132747, -46142.117024150444 68567.0897949901, -46122.68775831977 68564.53076182358, -46101.90070755583 68561.80440113645, -46096.07222739499 68561.0323714409, -46072.63771481168 68557.9274956899, -46072.19596425102 68557.86863927603, -46036.76558065027 68578.18968863176, -45989.83334016572 68605.10408937179, -45944.8014484164 68630.92420375724, -45939.44360905052 68634.00053061428, -45925.146012373065 68642.20396421099, -45921.600033554205 68644.23286602256, -45908.90711251223 68651.49513719587, -45896.96197271261 68658.36375159748, -45879.62707445485 68673.66811717821, -45863.750184746474 68687.91050387174, -45862.27581670227 68689.22104480163, -45852.26030954557 68698.12323505974, -45846.861627629005 68702.93316530086, -45839.45985305484 68706.96747343367, -45826.40535696206 68714.07664225914, -45813.17961544084 68721.28591832955, -45792.607984282404 68732.49491748991, -45771.859359359005 68743.76630756861, -45763.06883301744 68748.54738322942, -45760.91923621558 68751.23565695668, -45736.10573221879 68782.17214529055, -45733.63592809207 68785.25605379815, -45728.861946242694 68791.2099095606, -45712.16975062155 68812.02837535564, -45709.21963432661 68815.7057880675, -45696.00801588231 68832.1648011238, -45685.65140045644 68845.09732162235, -45638.85444522492 68874.51541429362, -45609.589636284996 68892.95238920223, -45540.814098403825 68885.82793838275, -45540.72494912414 68885.81877212842, -45540.704881822014 68885.81667068675, -45539.345980338854 68885.67506607895, -45539.28037560066 68885.66819995356, -45539.1782101628 68885.657332289, -45538.88684605329 68885.61903990625, -45533.26636512838 68884.8846162143, -45472.117158427456 69043.48102707176, -45464.00142274124 69039.8926279353, -45456.39621346093 69036.52439645129, -45450.21621678098 69033.77599625412, -45428.658967118194 69024.2471396573, -45298.65940636961 68966.78603735825, -45261.3766355729 68950.310032093, -45252.743389629766 68946.50237713587, -45218.454026454405 68931.37938928876, -45209.10177000192 68927.25480465239, -45190.98906308139 68919.24427095932, -45122.27439112473 68888.85480650653, -45122.13143291433 68888.79171381744, -45118.64443022964 68887.24998754637, -45118.05949965591 68886.99136097799, -45011.01077285552 68839.61379188519, -45001.02403971481 68835.196183849, -44992.290117762874 68831.30141312678, -44985.16484465294 68828.12700040269, -44979.61866597956 68825.69479316851, -44977.82463547578 68824.91369562544, -44957.11894255083 68815.75621128375, -44937.29539419795 68806.99615459002, -44920.70057283898 68799.68798925309, -44906.54995213435 68793.39009189188, -44903.37392783313 68791.97812166552, -44901.61264426722 68791.1751588003, -44882.66823790022 68782.8206088321, -44876.20763722629 68779.9268591472, -44872.96967765933 68778.5397779583, -44863.43512010955 68774.46155523544, -44844.197094732095 68765.86917305729, -44842.35643045825 68765.0058914773, -44842.14180486333 68764.90710797206, -44835.383907203504 68761.93309900718, -44825.10578387966 68757.43505545238, -44807.926224063856 68749.80150253527, -44805.72352198682 68748.83560357134, -44787.220438756936 68740.64405388967, -44780.80380611806 68737.79143118362, -44773.85776536401 68734.69980345988, -44767.83812003226 68732.05089758697, -44753.44600834533 68725.7045467587, -44751.77275438011 68724.95240813817, -44748.602784785486 68723.53418052495, -44722.70651939279 68712.10061147592, -44713.78423995262 68708.16401094195, -44712.77265843104 68707.7082970122, -44712.14232152968 68709.36502671118, -44711.48820604396 68711.08410878011, -44711.41220820923 68711.28376315066, -44711.08163797872 68712.15241541108, -44710.05703305273 68714.84530392675, -44709.98279272895 68715.04035098941, -44709.81031986699 68715.49361928807, -44707.43757740469 68721.72930903792, -44707.12779210724 68722.54328594227, -44705.81583240018 68725.9914862628, -44702.96412796082 68733.48623477644, -44699.896630756084 68741.54789904495, -44696.517687263826 68750.42814975626, -44696.51263089849 68750.44104650585, -44696.46609113695 68750.56371005623, -44696.42120714472 68750.68197042293, -44696.292074369994 68751.02076380132, -44696.167260385046 68751.34912313815, -44696.11628485329 68751.48304517336, -44696.03686863834 68751.69191676554, -44696.029947939045 68751.70983170984, -44696.02249822351 68751.72959434122, -44695.94773902998 68751.92607552744, -44695.891068758334 68752.07525626391, -44695.79594427512 68752.3250793356, -44695.777440775535 68752.37350641545, -44695.68902080767 68752.60633970983, -44695.59730707106 68752.84725567338, -44695.485518025176 68753.14152148017, -44695.33359866721 68753.54165987622, -44695.242411407264 68753.78083152622, -44695.16426686018 68753.98518595927, -44677.41135938578 68800.25831154746, -44675.991154571944 68803.89586679978, -44674.555767632424 68807.56476657312, -44659.80789840682 68846.14125626053, -44647.80701693583 68877.55614734492, -44644.735543350995 68885.45279024217, -44625.78484571297 68877.11805202448, -44607.905662961166 68869.1184851803, -44605.45893452286 68868.03788398254, -44588.96415628244 68860.76401912661, -44569.57901284301 68852.16761477196, -44550.490506879505 68843.73348100219, -44529.19659071748 68834.33345993965, -44507.46456561128 68824.69485690459, -44485.879641287094 68815.13579886922, -44463.55948348481 68805.25480294572, -44441.9743676769 68795.6957220793, -44431.10550282381 68790.87642935656, -44422.79180215381 68787.23589464049, -44420.09510927706 68786.05004818711, -44401.76724797519 68777.96280000744, -44399.53627785611 68776.97821243918, -44399.29580052063 68776.8726148069, -44396.620701910484 68775.70546366088, -44388.570825997806 68772.19267986996, -44386.3159477678 68771.20878135467, -44384.416404227486 68770.37987297488, -44383.698083309355 68770.06637223001, -44383.19862809876 68769.84835896785, -44379.36355987492 68768.17476165284, -44379.064019534875 68768.04406076543, -44378.750127423715 68767.90696612089, -44373.62569727437 68765.67071783212, -44372.527642167144 68765.19141927165, -44371.787211104376 68764.86841520808, -44371.25732517296 68764.63704969258, -44371.272718090586 68764.59712421572, -44371.319074928586 68764.47797338676, -44371.39633203875 68764.27825055562, -44371.457155975 68764.12142488573, -44371.50610456835 68763.99520670764, -44371.567350703284 68763.8369442375, -44371.60700046845 68763.73488653102, -44371.66411604748 68763.58727015754, -44371.71274926137 68763.46207788438, -44371.7442523559 68763.38059131143, -44371.859231404174 68763.08641358853, -44372.09588864738 68762.47341260636, -44372.609038750525 68761.14959966535, -44373.23538483229 68759.53331886094, -44373.98688873264 68757.59437886218, -44374.04513869029 68757.443896829, -44374.64184346597 68755.90418776785, -44376.09731283057 68752.2447427988, -44376.59906296786 68751.01093342817, -44376.60566575831 68750.9941478034, -44377.67579063166 68748.39738134669, -44378.55167621508 68746.26187225625, -44383.09020460841 68736.05340661838, -44387.959190897665 68726.02035355804, -44393.59009584789 68715.34503793309, -44399.602762361654 68704.91047594328, -44405.988196511054 68694.73235297903, -44408.81734077061 68690.44379143602, -44413.82297034562 68683.19172679953, -44413.8439063739 68683.16240217927, -44415.5714486922 68680.76356191609, -44416.07056116777 68680.07023147543, -44416.12332986231 68679.99719030801, -44416.3793950691 68679.64149600382, -44416.42984659824 68679.5722191541, -44416.48375997746 68679.4998300803, -44416.66694499545 68679.25624893306, -44416.87733089341 68678.97637649486, -44417.0494208721 68678.74738874183, -44417.14431111254 68678.62129172229, -44417.24470562436 68678.48768990395, -44417.330596735635 68678.37355390757, -44417.4307953848 68678.24005018307, -44417.44169456218 68678.2255548685, -44417.49318650058 68678.15723762145, -44417.51578607199 68678.12713095563, -44418.424723959164 68676.9180342564, -44419.19907417707 68675.88784648165, -44419.25776440429 68675.81000177765, -44419.58314233148 68675.37716772105, -44420.05860840092 68674.74474477618, -44420.08440524011 68674.71048408418, -44420.373288089606 68674.32610116636, -44420.6850681111 68673.91130937038, -44420.86495158154 68673.67218972863, -44420.93874548798 68673.57406802244, -44421.11133400612 68673.34447319355, -44421.317818073396 68673.069873434, -44421.336116478175 68673.04554580747, -44421.50420542869 68672.8219314781, -44421.65369836799 68672.62294699186, -44421.848983120086 68672.36324814409, -44421.8992795722 68672.29634649062, -44421.90956322731 68672.28328268102, -44422.204830898205 68671.90279912134, -44422.2604638482 68671.83128482364, -44422.33718042874 68671.73231212412, -44422.46023068525 68671.57419173168, -44422.57450814591 68671.42669365172, -44422.792456714684 68671.15395993643, -44423.17246139571 68670.67875825582, -44423.616635321916 68670.1231722052, -44424.24102647141 68669.34244204518, -44424.32075984699 68669.24272439403, -44424.41965395397 68669.1190131061, -44424.45918613778 68669.068989934, -44424.53294717915 68668.97614352226, -44424.59199372113 68668.90348131134, -44424.62682031898 68668.85995027346, -44424.660754116834 68668.81732585278, -44424.84586516704 68668.5859016855, -44424.971395576664 68668.42919418166, -44425.03506374355 68668.34952026531, -44425.13585281151 68668.2234814557, -44425.51595923087 68667.74807563389, -44425.5915007964 68667.65362273618, -44425.931088102014 68667.22904067472, -44425.902753730115 68667.22485005029, -44426.29520429717 68666.73912670164, -44427.50651056633 68665.25029901875, -44427.56862977288 68665.17461737945, -44427.80623029077 68664.88545569152, -44427.91122655368 68664.75746308372, -44427.93256207208 68664.73156342105, -44428.22795015439 68664.37373974288, -44428.7261121505 68663.7702854189, -44429.51408161414 68662.81568246707, -44429.544187389394 68662.77926387111, -44430.02619767531 68662.19543707714, -44430.39485094497 68661.74920194264, -44430.92889517733 68661.1025558403, -44431.30672565917 68660.64498528565, -44432.216608749586 68659.54309348499, -44432.27532213077 68659.47218087582, -44435.01981570397 68656.14891108774, -44438.23993512973 68652.24970875809, -44439.023013271566 68651.30128233481, -44439.24552025407 68651.03198404307, -44441.363955643654 68648.46674193755, -44444.93130111151 68644.1469941784, -44451.29168910548 68636.44519879829, -44454.77100377418 68632.23218243649, -44457.06828293103 68629.45044799034, -44461.59964092623 68623.9633549893, -44462.98345061196 68622.28775942487, -44464.56295286045 68620.3752360428, -44470.343537168075 68613.37552371062, -44473.30197038359 68609.79306398176, -44474.82744444574 68607.94578786177, -44477.83052754631 68604.30972052146, -44478.66414892887 68603.30008853255, -44471.79468934226 68600.25293734085, -44453.89449018814 68592.29432828406, -44400.59043812181 68568.75449332755, -44409.606493746425 68545.37117108222, -44412.081341298595 68538.88906730551, -44418.358103073784 68522.44055860525, -44426.87539374304 68500.42933935192, -44427.284145424404 68499.37847457756, -44431.83993044129 68487.60116508561, -44432.945490808015 68484.74310917253, -44438.53265324751 68470.21775118877, -44443.472321311994 68457.43327564349, -44443.580615885556 68457.15132897084, -44443.70327580549 68456.83191153471, -44443.76972569847 68456.65868709343, -44443.789048211715 68456.60842032396, -44443.85126327806 68456.44614948981, -44443.914816200355 68456.28060476316, -44444.020262058475 68456.00437348579, -44445.21452601183 68452.88224849975, -44445.77219268728 68451.42361095108, -44445.83556245053 68451.25764738972, -44446.50908755173 68449.48871690876, -44446.73986126404 68448.8828992537, -44446.876253072325 68448.52423492634, -44446.98202954046 68448.2463574264, -44451.28963482805 68436.84626758748, -44455.926776246604 68424.93855526242, -44458.78322600919 68417.49091304743, -44465.141006032005 68400.83511935704, -44474.15744414345 68377.37295653255, -44483.468750576976 68353.29452223233, -44492.967597009105 68328.8069916107, -44501.086284585515 68307.53166893798, -44504.36028594462 68299.04498501107, -44516.18513232158 68268.31085836714, -44517.241674163364 68265.57001545143, -44528.19511585255 68237.07642381197, -44528.39480018015 68236.59824457667, -44529.74082313963 68233.1021477233, -44531.85394176199 68227.61115095683, -44540.10025509711 68206.18816835587, -44540.80759985994 68204.33791604362, -44548.6569551522 68183.93456691374, -44560.32955903711 68153.60955396129, -44568.545921183424 68132.2717141982, -44571.33947726229 68125.02169589783, -44576.06695341469 68112.75569420103, -44589.64959808562 68077.46524296624, -44590.834368963886 68074.39085542358, -44592.23124207293 68070.76589965538, -44597.34969098706 68057.46788672991, -44612.25456054854 68018.74429862858, -44623.368892701386 67989.86681664066, -44646.82148985597 67928.94324245826, -44651.701293069666 67916.26820457041, -44655.03496253417 67907.60850816099, -44656.42872108645 67903.98036054539, -44656.86348305496 67902.85106251687, -44676.67588906026 67851.38612579233, -44685.46834114075 67828.54397795256, -44714.50446268447 67753.24962012218, -44718.715508159265 67742.33049997072, -44720.06740419161 67738.83145231103, -44721.43742942261 67735.27558729131, -44736.784844283226 67695.21128926316, -44751.03103033002 67658.02958488803, -44758.04073078387 67640.01481637302, -44765.33510928286 67621.06226767162, -44772.626376151566 67602.10642490633, -44780.7771648983 67580.92895076728, -44781.060663364406 67580.19277364833, -44771.69447462902 67576.04589091513, -44757.72739396544 67569.86552578393, -44743.35142938665 67563.51297604357, -44742.62513550077 67563.1972949149, -44736.911174917266 67560.66972804544, -44730.83854581144 67557.98904641063, -44718.86377326377 67552.68842572658, -44715.94944470444 67551.40061977528, -44690.10600550295 67539.9612092071, -44656.64905406791 67525.17772398399, -44654.97872033607 67524.44469605558, -44646.10934774972 67520.52090341547, -44633.50517170263 67514.94913596378, -44632.530317016375 67514.51832392094, -44616.74289259484 67507.54160617094, -44600.32462541332 67500.27747356604, -44586.69708752373 67494.26900111912, -44572.275711108276 67487.87522753824, -44551.278589002395 67478.59018774949, -44526.84736707866 67467.79171925788, -44519.65756410544 67464.61484692025))\",\n          \"POLYGON ((-67700.96962797137 62621.45419221469, -68030.71972629981 62902.293146351665, -68095.30752960165 62902.261804569636, -68174.39662755473 62945.806663669995, -68408.75182698267 63108.55604484001, -68094.12855075901 63327.89198472205, -67836.10384678285 63552.95121929003, -67629.9255773919 63838.991033145896, -67426.55449072758 64134.60743807495, -67247.69130586827 64340.37900590044, -67088.59448968466 64212.88073149144, -66744.83204239559 63906.46525125548, -67175.3483155856 63330.506500670475, -67700.96962797137 62621.45419221469))\",\n          \"POLYGON ((-54215.045204868045 65709.74087105457, -54214.80078440529 65662.49140873477, -54214.663023889276 65649.68898154925, -54214.456723410076 65592.88282224644, -54214.45378240547 65591.66279581064, -54216.50345652073 65585.94942307279, -54219.14716022553 65580.5219357086, -54222.35047147941 65575.45078047935, -54226.07182787829 65570.80176109134, -54230.26283690991 65566.63521903373, -54234.86935953629 65563.00523540363, -54252.87415175971 65551.32515903637, -54252.79523335602 65551.18293124305, -54257.741267827354 65547.97818564708, -54260.54493654991 65529.054324865356, -54214.267175372755 65529.01803761773, -54214.2140765166 65529.02579910695, -54210.437641737226 65519.30470282928, -54206.61641001912 65510.26984752726, -54206.61609161514 65509.78628812563, -54206.56074521168 65461.300386032715, -54206.530748006655 65431.79272853799, -54206.5098512944 65415.55710107419, -54206.52357642659 65399.79458667757, -54206.497653117876 65395.065759029545, -54206.47510885362 65379.14552117318, -54206.486802771484 65363.446058081965, -54206.460778547946 65347.65183662904, -54206.3985640988 65329.58443636498, -54206.39014822566 65327.093930302624, -54206.33733331437 65311.33115269382, -54206.33287482484 65297.14490471095, -54206.2989795861 65282.936335910665, -54206.268929362115 65264.29542421549, -54206.24861253215 65248.532701899174, -54206.229843293986 65239.10667062581, -54206.23070898425 65232.8017021738, -54206.19994524256 65213.7918467437, -54206.19686646789 65208.97166742501, -54206.18496402615 65196.929018728995, -54206.172922756385 65180.05675226605, -54206.17143453535 65179.75089724061, -54206.156180494385 65163.569108246644, -54206.13798982428 65150.95904054095, -54206.10925921257 65139.92514069208, -54206.119995021385 65138.34887437038, -54206.064080277676 65112.34039147213, -54200.73157120779 65093.247185424545, -54200.881345752096 65033.54728010771, -54195.97738290936 65033.536736670794, -54191.07053573195 65033.52942481931, -54191.2665407512 64971.583509328084, -54191.0262762044 64957.39300187355, -54190.96840343001 64894.342705690375, -54193.91531207241 64894.366163613755, -54206.49932850579 64894.37522617165, -54206.47230387836 64860.64021238376, -54206.479374314506 64844.691692094464, -54206.43252964037 64795.071252615446, -54206.441610375936 64779.308798039, -54206.375285694114 64698.633032207144, -54206.45520898323 64687.566285224755, -54278.155792144025 64686.46550222243, -54278.114562556184 64681.59968930113, -54278.12028545406 64680.08184082625, -54278.39777257787 64605.629794991444, -54278.52919973786 64376.207822261254, -54278.54109353067 64323.02747153558, -54278.687557481215 64165.904678021194, -54278.81602330449 64026.712605940214, -54278.84880738455 63866.0088067894, -54278.28185247948 63846.50032890021, -54278.385495438495 63814.97613255899, -54278.63159701352 63783.84666967195, -54278.58371240758 63771.315314356696, -54278.77651275091 63728.75790795604, -54278.81432331765 63724.02935097807, -54278.84458907014 63720.24658859189, -54279.077810419156 63672.40896121305, -54279.48894366169 63638.8748068779, -54279.491998928825 63638.83702522909, -54279.52574591546 63634.34496022086, -54279.58935764453 63608.02204077484, -54279.52860934309 63596.909331039365, -54279.63969553247 63564.43952733066, -54279.586096751416 63555.43151049945, -54279.549803089394 63546.73516000604, -54279.558097607995 63543.01211264922, -54279.596184102214 63521.62261400842, -54279.61409358656 63504.93287580667, -54279.61582063814 63502.900014853614, -54279.6464764568 63480.7216678688, -54279.63411841692 63477.292286111624, -54279.59227134474 63459.380139576206, -54279.659260180335 63432.348215713966, -54279.71885208596 63411.453920381195, -54279.722921923036 63410.07041204264, -54279.77124042387 63399.72375853901, -54279.76083276354 63363.782480416005, -54279.81397310103 63324.936853467996, -54279.8217302608 63319.257438358625, -54279.8293535293 63311.69191467536, -54279.84182925044 63299.31406394726, -54279.85086710507 63290.32740445601, -54279.854301857406 63286.234885095975, -54279.85917162965 63280.16080999516, -54279.86012817297 63279.38491659933, -54279.88370677185 63255.80826299987, -54279.849099385065 63251.429272450725, -54279.811163501574 63246.508082136344, -54279.888620936734 63236.65694487256, -54279.89942097263 63212.099489206485, -54279.911325361565 63184.86855379525, -54279.913135008515 63177.236450935714, -54279.92740839282 63158.318574238, -54279.92527949952 63157.84572256173, -54279.990409637576 63112.45071181622, -54279.99208942243 63075.24850940068, -54280.00411864576 63074.30128375145, -54279.97775003392 63066.11481885002, -54279.967426215284 63057.96034481616, -54279.96764375065 63057.93965954575, -54280.002414256924 63055.624537532356, -54279.96427193555 63023.548110854346, -54279.96289743014 63023.22973937415, -54280.07155990328 62972.5577834591, -54279.999770408074 62963.09684696422, -54280.14286374539 62929.53972133114, -54280.1686825615 62923.06532015252, -54280.169741302045 62904.70159765773, -54262.588368573146 62891.556691886784, -54229.77821924892 62867.0057809594, -54228.897145177856 62866.36798180372, -54213.076117116645 62854.493435543125, -54208.97705752539 62851.38778575821, -54196.96359640684 62842.53873361117, -54195.48249780039 62843.47119439886, -54170.7534958027 62858.5583132963, -54169.82058221138 62857.18735693157, -54168.704043604026 62855.98365390244, -54167.429895675894 62854.97491472249, -54166.02725966327 62854.184485912934, -54164.5287693168 62853.630533379874, -54162.968927664944 62853.32599768966, -54161.383738147015 62853.27785981974, -54159.575545839645 62853.53929283802, -54157.83670306405 62854.13181156083, -54156.219882974416 62855.0374007889, -54154.77382822736 62856.228730738236, -54153.881608736236 62857.25482035285, -54152.84105024962 62858.1060640905, -54151.681668048026 62858.75822942455, -54145.192679381726 62829.658613088395, -54143.628882118675 62822.78844275035, -54129.13868092882 62828.65899488161, -54128.40045363023 62828.96756890895, -54115.53687900586 62834.29747854548, -54104.59922679054 62838.70321402196, -54101.34517003988 62840.018175549514, -54083.899056928174 62847.12313542736, -54080.20463118238 62848.666016326, -54063.76001763285 62859.486246914945, -54061.16053491838 62861.32752058948, -54060.35315581357 62861.90381663931, -54056.00113689479 62864.761505850554, -54053.24275709785 62866.570414754155, -54042.72270908292 62873.578981708975, -54037.601673074845 62876.99083589783, -54029.117757517306 62882.647959527, -54028.94740479134 62882.76312171014, -54022.13221199883 62887.27977885293, -54007.51664432786 62890.46706291942, -53993.19877716054 62893.6589342768, -53984.194991193726 62895.55181729779, -53980.15022929564 62896.45634340096, -53978.73110364708 62896.77119863899, -53964.26575182622 62899.962252489815, -53953.1935262638 62902.3908687473, -53950.73905263208 62902.883606485135, -53949.798072891994 62903.074716064715, -53935.48059470779 62906.18764615882, -53921.16313434849 62909.30378018361, -53919.88536325293 62909.62879507981, -53919.0916624759 62909.833019980135, -53909.70993793128 62911.85350310902, -53906.400899800865 62912.571152259625, -53892.08238299525 62915.679076960325, -53877.61422445907 62918.87013519014, -53861.29581185264 62914.086161817504, -53846.29947885155 62909.54821309745, -53855.97503148522 62897.41298741911, -53835.77727024505 62880.14275068217, -53798.60101309423 62848.38849651784, -53770.20638023174 62824.03684084163, -53764.351464430794 62819.025048107884, -53757.762810909735 62813.39808375325, -53748.11562377598 62805.15943580722, -53735.385652939185 62794.28040533467, -53735.36938071547 62794.273444311904, -53731.27829131447 62790.76439374673, -53726.77033588753 62786.90009852359, -53712.536243648385 62774.695679581484, -53699.80150582687 62763.87299728015, -53699.364364419256 62763.47685250655, -53686.83241782046 62752.77794183167, -53673.895361534975 62741.74924337691, -53668.77391434162 62737.37153687618, -53665.90086915226 62734.86742748539, -53661.74844905003 62731.244450608145, -53649.89130376343 62721.13840626004, -53648.08357959987 62719.62721935298, -53647.22924630622 62718.912754075, -53646.08741664696 62717.95530065822, -53638.03725970878 62711.032133250126, -53635.401582544655 62708.803578198174, -53629.94408885268 62704.13934678079, -53626.467235548946 62701.17257888276, -53623.19242812114 62698.38356969462, -53613.58651145811 62690.185747597076, -53593.42075838754 62672.97556637548, -53592.22623858792 62671.95801661059, -53579.857593224566 62661.40381495849, -53586.29732987125 62646.87722700651, -53646.795497233485 62510.42793600138, -53655.121050583664 62491.64976640848, -53658.467957545174 62484.10102558834, -53677.629188584295 62463.24301292027, -53708.75836680868 62429.35743650717, -53761.17915180489 62372.29503070268, -53768.54981041411 62364.27188615598, -53798.609161922905 62346.48157585984, -53805.893445349706 62342.170458709574, -54147.67481024329 62139.89169338467, -54127.85616801297 62133.760433465744, -53895.67366267667 62055.77010265515, -53895.810791042124 62038.526965292745, -53896.33382944139 61972.83845054707, -53896.33541628471 61972.61223502639, -53896.985419435376 61890.528115391695, -53896.994947071886 61889.32817915582, -53765.749493098905 61845.464613942546, -53765.45828940429 61845.368743192346, -53516.13416973622 61762.06648612888, -53231.039832854745 61666.803833896534, -52959.01267601897 61578.263491259524, -53110.04535520572 61531.98095680958, -53127.55284845423 61526.83090332658, -53181.06150475198 61541.8288137172, -53203.52046026957 61548.12652104711, -53327.94304887159 61585.08862899661, -53369.918762833026 61564.901823426764, -53381.930716383795 61559.51452078475, -53421.85877155127 61542.50416438134, -53457.58130679236 61373.0862894927, -53457.62656712663 61372.88164457793, -53485.891454246244 61238.82693224281, -53493.52412548474 61202.62921849464, -53506.1253731538 61199.74151613273, -53518.72961965659 61196.853789156725, -53518.96294877579 61196.80127987058, -53546.516641210044 61190.48842600206, -53570.41767799173 61185.10077543319, -53577.672661254626 61183.464366182125, -53588.93426705698 61180.90441578941, -53600.40862384801 61178.29491034132, -53611.94167778722 61175.63868757656, -53623.4778323188 61172.98223651113, -53634.66294136516 61170.40601917122, -53646.47683120271 61167.6848140348, -53657.68791420047 61165.21285952669, -53669.498613145064 61162.47583717428, -53680.75161266872 61159.86845753128, -53692.491326445444 61157.14677359693, -53704.30512065428 61154.40972469019, -53714.93559874022 61151.94449457532, -53721.17252629036 61150.577561882645, -53723.82571328337 61149.98027241889, -53733.86590013651 61147.55782416284, -53745.88750963555 61149.87830717814, -53757.6268771048 61152.14371563585, -53769.651371179985 61154.460961440454, -53770.9461726309 61154.71080295571, -53780.15419032258 61156.48731811796, -53791.781353819024 61158.733213097556, -53803.41448722878 61160.97626802575, -53813.53136872058 61162.928168811806, -53823.659971654284 61164.8832838373, -53834.409871962074 61166.95495014611, -53846.06064897744 61169.20427025042, -53857.69380855537 61171.45021122353, -53869.200407157274 61173.670459057255, -53892.187010781774 61178.110740410746, -53910.08427641381 61133.49116399548, -53927.38197705411 61090.37574502657, -53940.64310058612 61057.31309570205, -53940.77435964728 61056.985817440844, -53978.18020521723 60963.7383098408, -54046.29858390296 60903.61676944218, -54106.046865988275 60821.20270197793, -54201.70288331514 60689.273828476325, -54213.295404563105 60673.27031428804, -54227.48108273497 60653.70444047735, -54264.87554830334 60602.0780498658, -54302.66624623855 60646.276906614105, -54335.39307884068 60684.55689298865, -54374.81306725545 60730.664346482874, -54409.7026577616 60771.470095396304, -54454.681604352634 60824.08201353, -54553.21031593176 60939.437281378996, -54576.26669242666 60966.43320031783, -54604.87911690301 60999.93364125066, -54610.85079160757 61006.92652761328, -54616.826231352316 61013.92365398855, -54643.71839710116 61045.40773449024, -54657.74924336537 61061.82879358491, -54669.69337750191 61075.82212584342, -54681.962992649635 61090.185689665195, -54693.91310565517 61104.17586797039, -54705.79581285627 61118.086822710764, -54717.74594783099 61132.08009925051, -54729.69606300016 61146.070268530064, -54741.57879288417 61159.984318570554, -54753.6962800485 61174.11084180589, -54775.7183340881 61199.85668468324, -54785.526304665254 61211.33681323834, -54799.34234715251 61227.426405234655, -54813.6467233773 61244.179096585685, -54824.75279221286 61257.18174049448, -54843.9176882998 61279.607138492815, -54848.77035214759 61285.2885357448, -54858.9682119929 61297.218228079815, -54860.13018442241 61298.5647898657, -54887.31021779208 61330.419803045676, -54903.10417330854 61348.90142376558, -54908.866580413654 61355.644625739515, -54915.173368688054 61363.025452916314, -54916.9291601272 61365.08009378855, -54918.685228868075 61367.13525942957, -54925.49928131469 61375.10935250712, -54948.093625979396 61374.980333361345, -55178.35388233874 61373.64904391361, -55209.231558255735 61373.46830568189, -55237.86103105141 61373.30157711366, -55245.75541162431 61373.254888436015, -55248.196190022245 61373.240929453765, -55460.00668361785 61372.06257653023, -55609.65790958584 61371.1743946863, -55810.91298137669 61369.98952386024, -56007.611638066344 61368.85740948519, -56127.025504087156 61368.15681207057, -56261.64211716352 61367.39642759284, -56356.93948596455 61366.8293218152, -56418.23862712938 61366.46921577894, -56444.14086216676 61366.32236260806, -56463.06138765132 61366.21500384024, -56464.099962700835 61366.208898750614, -56550.391459096696 61365.721516168494, -56735.14804152836 61364.64198784354, -56769.03106656411 61364.45063782194, -56796.88960574154 61364.332392210956, -56961.33529075515 61363.35054358936, -57055.952048824096 61362.851984379144, -57214.12753136072 61361.956034368464, -57226.449832786275 61361.896886824245, -57305.97683812418 61361.27951175625, -57404.276805455556 61360.75393501265, -57509.969759273336 61360.14096017409, -57601.68409018929 61359.37523946293, -57615.58676572891 61359.26449331861, -57658.4400554473 61358.953628101575, -57690.443272775265 61358.71384502504, -57731.4314216278 61357.99770039319, -57744.211105163784 61357.88423944328, -57744.67770586627 61357.880053768575, -57772.6767391773 61357.58584613629, -57800.11471459471 61356.89597201992, -57801.85855709293 61356.85210259065, -57802.20536852549 61357.06657559136, -57805.0677851724 61358.8374076144, -57827.44567076952 61372.68128096603, -57842.23398119861 61381.49374617258, -57857.02220314678 61390.30589445923, -57865.889677193 61395.59019843113, -57871.81041551896 61399.11845217115, -57875.998159753944 61401.61378844339, -57879.67188415712 61403.80289555457, -57884.89452369424 61406.91511673729, -57890.11735916081 61410.02723927954, -57893.54798939058 61412.07162697421, -57894.0536174342 61412.372972151104, -57901.38685466074 61416.74303829284, -57911.7146915825 61422.89734905941, -57916.174979695046 61425.55527084665, -57922.9899136973 61429.61629926722, -57930.96329354221 61434.367711301726, -57937.73189832353 61438.401097849186, -57941.47273278053 61440.63030265372, -57960.53983390478 61451.99226705094, -57988.42787190742 61469.29357029286, -58002.97735073178 61478.319967692514, -58003.92507052363 61478.90644607011, -58012.15452799884 61483.82143513846, -58037.33183505464 61498.85828426686, -58040.92216590307 61500.91413914214, -58045.79777669427 61503.7656221378, -58050.876771817966 61506.783710964024, -58051.09136085796 61506.911515153624, -58054.470648911774 61508.91973640234, -58065.82555003683 61505.07897142666, -58084.01012617327 61498.87218550371, -58103.61430891891 61492.11373760434, -58111.78064093812 61485.410100515044, -58112.712774574706 61484.64501487722, -58117.62802860457 61480.61027832323, -58123.47551788737 61475.81025130476, -58129.3228061295 61471.01052854935, -58141.01758573539 61461.41067276209, -58152.885504751255 61451.668712886465, -58161.88791548696 61444.27910288711, -58164.40733435348 61442.21106191134, -58170.25462687299 61437.41112776788, -58176.78470395922 61432.05090129121, -58183.19741532025 61426.786907540605, -58184.54117651089 61425.6839399582, -58193.171582068804 61436.79078827225, -58194.60043501338 61438.62963473803, -58204.1896566662 61450.97058339159, -58209.827446940035 61458.217609690306, -58221.082407330156 61472.684822233605, -58221.83797470882 61473.65610778648, -58225.62785442541 61478.49082630873, -58227.51396780374 61480.92692993969, -58231.82726720574 61486.49292020878, -58257.01306505279 61518.994349820925, -58257.28345652878 61519.343203031625, -58260.751266543484 61524.78421828445, -58263.27278160368 61528.7410047966, -58265.421568114645 61532.112554216474, -58267.36535737583 61535.16247678795, -58267.847887252654 61535.735074114236, -58283.03836033026 61553.7652225882, -58283.15193797772 61553.96528810898, -58286.018657824614 61559.01018752464, -58289.01304639125 61564.28005408033, -58294.99218211196 61574.80276475473, -58295.675905739525 61575.53270004412, -58297.75866094647 61577.755848937646, -58303.91304113605 61584.32539281756, -58309.58690503227 61590.38219142371, -58310.37318113924 61591.22147176318, -58314.12462561888 61595.22593730343, -58316.286082389546 61597.53316027618, -58316.995730365335 61598.29059452541, -58323.20854824668 61604.92255537949, -58324.533582195734 61606.33709738772, -58324.713424192436 61606.52892728217, -58324.72838449665 61608.434273173414, -58324.72924154195 61608.54520153141, -58324.72945927843 61608.56786435726, -58330.92189768839 61614.06725262611, -58335.05066498375 61617.55909674907, -58335.3643386075 61617.81932501513, -58335.83017343191 61618.18538340051, -58335.88815666783 61618.2308236437, -58338.316393790934 61620.13922559697, -58339.69179016165 61621.21993683587, -58340.24018129034 61621.65093184865, -58340.463182996056 61621.82613940834, -58342.60190077241 61623.50693691211, -58342.8524187072 61623.703893402424, -58343.59942673115 61624.29081152114, -58344.09847334683 61624.68301516063, -58345.379734103495 61625.68978478542, -58346.017035946104 61626.19085486824, -58346.294126355235 61626.40860354448, -58346.41132148865 61626.5006553997, -58346.8130964029 61626.785105647126, -58348.41992891274 61627.92196822805, -58348.65523118683 61628.0886125971, -58356.39625880139 61633.56653437284, -58356.95528770625 61633.962125724465, -58357.33871940965 61634.23335258139, -58357.382563969215 61634.263718026574, -58357.424299788414 61634.293301996964, -58357.519645812165 61634.3612758576, -58357.72632802224 61634.50779656686, -58357.79630488128 61634.55718348588, -58357.84126876529 61634.58923463248, -58358.01779904805 61634.707106712565, -58358.03121491864 61634.716161397635, -58358.58834202661 61635.08676812613, -58359.33286890768 61635.5816460537, -58359.48343484483 61635.68153577265, -58359.711595966524 61635.831743505965, -58360.07920414642 61636.073779766215, -58361.57262427895 61637.04720460387, -58369.634700109935 61642.070877227736, -58372.78844711869 61643.93256279621, -58381.75514546483 61648.92214249338, -58386.003702268565 61651.13489600702, -58390.22931073724 61653.24222480026, -58392.0979134855 61654.1450389196, -58392.14638702072 61654.16808120612, -58392.34744688179 61654.26385898784, -58392.5317740182 61654.35173349013, -58392.59411094057 61654.38135965287, -58392.64669516164 61654.40637578714, -58392.786951964816 61654.47308635281, -58393.02052083494 61654.58423090412, -58393.116328284246 61654.629456856, -58393.174656248586 61654.65690502554, -58393.38444107663 61654.7558165368, -58393.428137456314 61654.776453036466, -58393.69252366137 61654.90095274439, -58393.81835995408 61654.960133187655, -58394.17578600669 61655.128335303074, -58396.30565359891 61656.113354074005, -58396.34745738025 61656.13228386671, -58396.7140074553 61656.29918192379, -58396.97858164331 61656.419962297776, -58397.2937048716 61656.56197909817, -58397.32412542353 61656.57573730278, -58397.64985606788 61656.72300808617, -58397.6659324736 61656.73006590124, -58397.75930795313 61656.77191520032, -58397.81536429894 61656.79733599567, -58398.20521485206 61656.972522595126, -58398.2654937633 61656.99929954203, -58398.60752710873 61657.15228934767, -58398.75429306344 61657.21783174235, -58398.77199491442 61657.22565788535, -58398.80002435571 61657.23831658351, -58398.96851380477 61657.3133461986, -58398.9885126519 61657.32216582474, -58399.22723463757 61657.42827749078, -58399.43401235472 61657.51965846751, -58399.89685264687 61657.72393288776, -58400.09254725978 61657.80973658572, -58400.2466111226 61657.877442845274, -58400.398772234745 61657.94385594864, -58400.6650860306 61658.0607522173, -58401.29826471193 61658.335657811906, -58401.46890856773 61658.40960790215, -58401.64807899409 61658.48689325018, -58401.755465262155 61658.533261297394, -58401.78331913899 61658.54519104168, -58401.90094901314 61658.59587209268, -58401.92372814873 61658.605698341766, -58402.01063988056 61658.642923467065, -58402.288779346 61658.76272730311, -58402.5198418942 61658.86169936957, -58402.55066430743 61658.8748477494, -58402.67156030065 61658.92644514712, -58402.69692640421 61658.93727275926, -58402.99597016509 61659.06447242362, -58403.04019296157 61659.08336445961, -58403.06986814553 61659.09596439552, -58403.301622529914 61659.19433451428, -58403.37820413872 61659.22683047493, -58403.49576272232 61659.27647502193, -58403.5816391074 61659.31253401704, -58403.80470404131 61659.40632297719, -58404.02038709166 61659.49742850551, -58404.11152646609 61659.53580301549, -58404.15230757945 61659.55304973389, -58404.2424014568 61659.590671654514, -58404.46078589451 61659.682057466256, -58405.179255142626 61659.981418999334, -58405.90171278959 61660.279854283406, -58405.971617036834 61660.30854793031, -58406.70755116838 61660.60962523564, -58406.721152483435 61660.61506398153, -58406.86690312178 61660.67468177248, -58406.88777951143 61660.68321486678, -58409.96458672022 61661.91203612202, -58414.60688528684 61663.68410125307, -58415.31219609323 61663.944205754706, -58417.103202890576 61664.595685623084, -58418.000279211 61664.916450615674, -58418.03920831834 61664.9303364326, -58418.085717696085 61664.946704148875, -58418.89830917943 61665.23382745, -58418.97646243804 61665.261400177056, -58419.06938961286 61665.29392620712, -58419.19703346976 61665.33856834755, -58419.79747595839 61665.548234906964, -58420.711599557006 61665.8640831183, -58421.626768389775 61666.176752546955, -58424.37810609465 61667.093917505474, -58424.47943247523 61667.12708546203, -58425.297392162945 61667.39252519017, -58425.34805789139 61667.40900577863, -58425.4326058846 61667.43613143275, -58426.217430951554 61667.68804961837, -58427.13832418893 61667.9802866319, -58429.906822426885 61668.836671280675, -58430.83173370997 61669.11494731082, -58430.903840300394 61669.13666570893, -58431.757517196194 61669.3892122224, -58431.849416367266 61669.41633058434, -58431.992693394124 61669.458500488356, -58432.048008914506 61669.47469353238, -58432.14731025976 61669.50366822181, -58432.87361324608 61669.71633891715, -58432.90607352603 61669.7258073385, -58432.93459868446 61669.73403086173, -58432.98185316801 61669.74762548317, -58433.70661188071 61669.95621944311, -58434.13478680394 61670.07927010606, -58434.23631131599 61670.108305168, -58434.442158377504 61670.166658198184, -58434.839358423 61670.27883239044, -58435.23866975442 61670.39168464572, -58436.55541984895 61670.75622857467, -58437.13726227771 61670.915834270425, -58437.166278337965 61670.923760771795, -58437.39312608991 61670.98558089811, -58437.48959868669 61671.011581985564, -58437.63806460983 61671.0512029317, -58437.91190223638 61671.125575924074, -58438.11051734972 61671.179077013716, -58438.3514139356 61671.24386508133, -58439.47185246314 61671.53986579507, -58439.91460211351 61671.65627721, -58440.062612644186 61671.69474775743, -58440.218890208635 61671.735305036134, -58440.25474117281 61671.74455516815, -58440.32586061146 61671.76314305723, -58440.35719649741 61671.771132552545, -58440.77644220111 61671.87966370463, -58440.936764232436 61671.920951548884, -58441.1159325483 61671.96678601978, -58441.87501692108 61672.16006945008, -58442.02920857224 61672.19891477328, -58442.30952210463 61672.26953228383, -58442.50851344134 61672.31952605355, -58442.7618382211 61672.38237558571, -58443.56431271669 61672.58118252191, -58443.735188363295 61672.62203279047, -58443.91020006551 61672.66382302989, -58444.992282784704 61672.92257230051, -58446.14753508004 61673.19913746849, -58446.23556508146 61673.222322858055, -58446.25373221218 61673.22695448263, -58446.27201121872 61673.23096840535, -58446.37355829439 61673.25514161739, -58446.3994277255 61673.26122389436, -58446.42923989141 61673.26824089932, -58446.451744007645 61673.27350759016, -58446.57292586033 61673.30162808984, -58446.62812923344 61673.314507462266, -58447.078038484804 61673.419008878, -58447.62232654394 61673.54417822947, -58449.55021849082 61673.97797820088, -58449.584367641924 61673.985630262185, -58449.96525071706 61674.06901421208, -58450.19046968969 61674.118375310376, -58450.21981124361 61674.12486224277, -58450.5512499115 61674.19717850813, -58450.956122502655 61674.284421091026, -58450.982101279646 61674.289989051, -58451.04108197308 61674.302660643945, -58451.31616496626 61674.36175587259, -58451.34627725801 61674.3683671897, -58451.38505590721 61674.37655880808, -58451.400450359084 61674.37987365798, -58451.518027649865 61674.40510294208, -58451.53842808869 61674.40938139548, -58452.14724647767 61674.53785502327, -58452.35663590017 61674.58192377854, -58452.52041430427 61674.616373891426, -58452.569973128564 61674.626720475084, -58452.76272167189 61674.66702670703, -58452.78879964122 61674.67249390926, -58455.29169810233 61675.17394790395, -58456.53554929996 61675.42291667966, -58456.55451507199 61675.42653542297, -58456.7689076804 61675.46773980449, -58456.80327805104 61675.47425985685, -58456.921305397016 61675.496914944415, -58457.27009907565 61675.56359857479, -58457.398346935275 61675.587565787544, -58457.616321008354 61675.62866051313, -58457.65310025386 61675.635556349625, -58457.835365944986 61675.66947395119, -58457.965351130806 61675.6935918056, -58458.05007896556 61675.70944555468, -58458.10399760388 61675.71949671398, -58458.83007154097 61675.85477560321, -58459.04760544122 61675.89409961388, -58459.44232014087 61675.96565129441, -58459.55046261219 61675.98514115688, -58459.58686029052 61675.99181971522, -58459.60399714693 61675.99507842997, -58459.672272351214 61676.007381681084, -58459.691334783936 61676.01100305575, -58459.71849122588 61676.01587879888, -58460.04802381727 61676.07521121788, -58460.34637579291 61676.12811022244, -58460.70925102025 61676.192486387794, -58460.8843459047 61676.22300209932, -58461.561605861745 61676.3412299437, -58461.7220770279 61676.36855519573, -58462.31059258414 61676.469061449556, -58462.41442597512 61676.486778978346, -58462.46287562189 61676.49502631408, -58462.52953805844 61676.50604428891, -58463.162112741426 61676.6124025958, -58463.18937345334 61676.61697079589, -58464.01814517504 61676.7531764029, -58464.04511844657 61676.757633346715, -58464.58097928221 61676.84388104439, -58464.61469840703 61676.84934883435, -58464.64042271391 61676.85346149811, -58464.89660002261 61676.8946625883, -58465.4259539826 61676.978043701485, -58465.457365968505 61676.98293156047, -58465.545621732505 61676.99691544573, -58465.74853926114 61677.02880746745, -58466.183784367255 61677.09628698278, -58466.20257203842 61677.09928015423, -58466.22666328879 61677.10293464321, -58466.54214905393 61677.15133301889, -58466.79586902985 61677.190191324684, -58466.969709616315 61677.216638163736, -58467.45482354643 61677.28971368183, -58467.711372006845 61677.327614243055, -58468.20336142919 61677.400359180276, -58468.341572534904 61677.42035524332, -58468.95725615869 61677.50949485336, -58469.21759969357 61677.54646391136, -58469.668409208556 61677.610331290096, -58469.86398290606 61677.63798906748, -58469.88461217945 61677.64082533896, -58470.13244328357 61677.67528200758, -58470.16193984274 61677.67939364456, -58470.24570589245 61677.69108301622, -58470.292746235544 61677.69763676355, -58470.45151786264 61677.71932920215, -58470.688670521704 61677.75142674872, -58470.849568647965 61677.773176931296, -58471.617135189954 61677.87699376084, -58471.98921227978 61677.925066756055, -58472.024694102125 61677.929651315026, -58472.491358001964 61677.98991444416, -58472.51874073896 61677.99345139305, -58472.56337982395 61677.99931919602, -58473.06315980074 61678.062033497954, -58473.119489576566 61678.06842569724, -58473.15216827836 61678.072934129545, -58473.17847508151 61678.07695914277, -58473.28852256816 61678.093707391796, -58473.4187817216 61678.10665937438, -58474.47599491653 61678.21213477319, -58475.21238685803 61678.28561992473, -58476.692984918795 61678.43342313731, -58478.1385518922 61678.54644478514, -58479.73788998555 61678.64843430858, -58481.82223243098 61678.74517983205, -58481.92157784852 61678.74870540435, -58482.35859995297 61678.76347038486, -58483.496113915244 61678.79322381152, -58485.62027492362 61678.81635516338, -58485.898263859504 61678.816145263794, -58486.519605946974 61678.81263812798, -58486.618185435254 61678.811901189394, -58486.81853162659 61678.810617319425, -58486.937908071515 61678.80982442414, -58486.93344980108 61678.069060324466, -58490.34951309721 61678.586414220386, -58491.24484728308 61678.72194409264, -58493.25830947092 61679.026883874605, -58499.828133745155 61680.021671793605, -58500.43658595537 61680.113821823375, -58500.47050600689 61680.11898467758, -58500.76596529306 61680.16363186404, -58513.734271271314 61682.12744702686, -58516.665520808994 61682.57131851447, -58546.118323464885 61686.952485472044, -58549.1928200788 61687.408211359034, -58552.99490169759 61687.287166665374, -58553.94450383692 61687.25688050787, -58554.65607588916 61687.234200513056, -58566.88134182055 61686.84488792061, -58588.855904983524 61689.87986892458, -58602.060943157936 61691.70370131042, -58602.79940865065 61691.708442687224, -58610.50600966924 61691.75777017412, -58611.462070098125 61691.7638680877, -58613.379313900856 61691.77620296749, -58637.71252215181 61691.9317800783, -58637.71764640317 61691.352357557116, -58637.72246105675 61690.821033751316, -58639.38651064925 61691.71921606764, -58641.16058210055 61692.3316396015, -58643.00189259984 61692.64379678368, -58644.866527875405 61692.64787393261, -58646.70960251109 61692.34410061507, -58648.48703027626 61691.739556239394, -58650.1559921777 61690.848803425106, -58651.147002225975 61690.1400361695, -58651.13034171335 61692.017520850284, -58681.25464212528 61692.21032036864, -58681.638188054996 61692.212768813784, -58686.79091275232 61692.24570882373, -58687.062424492724 61771.57129310529, -58687.13895888339 61796.35909414175, -58687.21873965915 61804.71338158181, -58687.2800595724 61814.80171391167, -58687.297485745155 61831.98532719939, -58687.314084880214 61848.4536214159, -58687.47654654996 61865.24110666138, -58687.48799141377 61877.36223859742, -58687.47613338732 61881.55520193112, -58687.50643672568 61898.26916111014, -58687.66597811449 61915.05346160918, -58687.6771531952 61927.20924275894, -58687.66334350427 61931.84049638559, -58687.69438101543 61948.39049572781, -58687.85664948284 61965.17797219264, -58687.8813825068 61980.62485323999, -58687.9011061401 61996.46907625475, -58688.05129671597 62014.51756028367, -58688.074484351484 62030.279732051546, -58688.098924908954 62045.72670649224, -58688.26602309891 62061.568307839814, -58688.28910903751 62077.33068220803, -58688.28642264897 62095.933261271166, -58688.45149244786 62112.168973660664, -58688.474215167545 62128.013170259874, -58688.53939405449 62138.17681310715, -58688.56325023086 62153.781642188806, -58688.64419522303 62180.5776259525, -58688.65336446128 62193.23303879157, -58671.40276610886 62193.308496448284, -58671.34742531001 62205.89273826986, -58671.38713096898 62219.44811653787, -58671.2563552631 62235.919016828855, -58671.27656153499 62251.6844109356, -58671.18175523629 62263.811441722646, -58671.153011678674 62267.285233757764, -58671.175616706845 62283.12631835808, -58671.08229116153 62294.36118334593, -58671.04802855951 62298.966634755096, -58671.068018451595 62314.72902068117, -58670.98876699181 62324.917188206506, -58670.94458583027 62330.33294829785, -58670.954358018374 62336.15551420778, -58670.9671908943 62346.17403079082, -58670.89208259348 62355.49555525544, -58670.837760327326 62361.77800142269, -58670.862126671185 62377.858734925816, -58670.73530873247 62393.54150551369, -58670.7583001918 62409.303762887066, -58670.70182005744 62416.62029641663, -58670.630691515886 62425.14097084701, -58670.64369242123 62434.525821841686, -58670.649542960695 62441.14292586703, -58670.52601371204 62456.74684670281, -58670.55064730558 62472.19381257106, -58670.421490669556 62488.3464138433, -58670.43737040772 62499.553512840976, -58670.44198424995 62504.033077345455, -58670.318068657776 62519.71581913002, -58670.34105765393 62535.47817569904, -58670.2108544144 62551.239786114056, -58670.237615125996 62566.8444736321, -58670.10877131323 62582.92124692732, -58670.12432344314 62599.62929776234, -58670.12275998232 62599.9413821021, -58670.11900630893 62600.10225771937, -58670.0703826679 62608.0407722525, -58670.06654865584 62608.441456718865, -58670.04418873951 62610.70498429447, -59072.017672509915 62610.418232026015, -59653.82880903276 62610.399398376976, -59747.11590205038 62610.43557835219, -59780.57248256205 62610.43907074079, -59780.9620423967 62620.37624300137, -59762.181777966114 62677.9574083407, -59755.85862752683 62676.33010830384, -59736.56522789086 62693.11757880777, -59736.25407625902 62713.843471260225, -59736.037436553015 62722.58727792364, -59734.57951384787 62738.030627699765, -59733.622031290106 62748.18336891558, -59733.49526929177 62748.78483632566, -59731.32733721164 62759.04201869801, -59730.10211012669 62764.62581084377, -59727.806318294235 62774.85107297882, -59726.63076313368 62778.39833729619, -59722.37434435329 62791.199524662195, -59721.423186388405 62793.44581513985, -59716.086059990244 62806.06218295442, -59715.075724177936 62808.244690467785, -59704.62143714222 62827.33024631499, -59704.19507713998 62828.11487409686, -59696.659469096754 62840.18503061123, -59696.37544729627 62840.640082138634, -59684.780794079954 62859.20482547276, -59671.26245740316 62880.86211599589, -59667.832353988204 62886.195819870816, -59656.077208853465 62886.01857285931, -59655.82837632506 63031.37183183083, -59650.30633131918 63050.843433433634, -59640.44926957687 63085.60218859925, -59650.02822876168 63085.68086614192, -59748.541821122 63086.48870092787, -59746.9722768967 63299.34617692509, -59746.94340601254 63303.24733402021, -59746.85486343667 63315.250257406624, -59746.76062101736 63327.91131531236, -59746.74449822487 63330.10217586327, -59746.485674285286 63365.38021227912, -59745.955413211916 63436.8880388383, -59745.945639721685 63438.287841138655, -59745.83160336353 63452.552130602315, -59744.11462195138 63704.895849398155, -59743.63210636412 63773.30228282012, -59743.53323474457 63787.48462293756, -59743.43536186455 63801.43700764945, -59743.14341958163 63842.969560745594, -59743.06667159928 63853.8451231873, -59743.01897857945 63860.54393184407, -59741.65386617198 64031.47726373034, -59741.40666556632 64062.68582415041, -59741.156859768904 64093.81527169401, -59740.49258523141 64177.09767473389, -59740.49218466385 64177.18891174791, -59740.24284134243 64194.68570370551, -59740.23357293594 64208.57478630174, -59740.239017518594 64208.95213330509, -59739.27956922111 64328.97839201926, -59739.062832248244 64356.11047042288, -59738.905850590425 64375.78791626002, -59738.844806606954 64383.43700885578, -59738.81450265325 64387.21521291441, -59738.720155723044 64398.642531364596, -59738.62649071368 64410.54276358711, -59738.50520498569 64425.67419887488, -59738.40752214224 64437.880136128406, -59738.20687231507 64462.929256216215, -59738.20327588675 64463.367603406245, -59738.19436764435 64464.48375093485, -59738.19155870078 64464.83480298141, -59738.17117455223 64467.376774377946, -59738.16682809119 64467.92848854531, -59738.16607666822 64468.022198914565, -59738.16542472355 64468.11973984712, -59738.164559719735 64468.225965260564, -59738.163770256644 64468.32122643666, -59738.16290497401 64468.42352052906, -59738.16219242989 64468.52747406454, -59738.16110136599 64468.67445484774, -59738.159890535644 64468.81843216349, -59738.157492810176 64469.12118160132, -59738.15617429892 64469.28926115612, -59738.15351527705 64469.638144702476, -59738.15318720924 64469.67517289662, -59738.15273397607 64469.74095835335, -59738.1520059376 64469.84160088541, -59738.15122435779 64469.940483216655, -59738.150880514426 64469.97026909625, -59738.149965614124 64470.09035620397, -59738.14907805784 64470.201443422, -59738.14861920351 64470.25957301201, -59738.14817021337 64470.31335773163, -59738.14754026585 64470.39817422459, -59738.14710930644 64470.45516655568, -59738.146430890236 64470.53801607243, -59738.14608165035 64470.599562672156, -59738.145082496456 64470.7151989046, -59738.14436432669 64470.811496570524, -59738.143933092986 64470.86455758057, -59738.143453667115 64470.91958294538, -59738.14279328163 64471.005640077856, -59738.141986615345 64471.10948759146, -59738.141210386995 64471.21209447262, -59738.139886524456 64471.37644947183, -59738.13908322179 64471.4919875708, -59738.1380510959 64471.60896783329, -59738.13731065022 64471.714058612095, -59738.136420283394 64471.8213178996, -59738.1354738367 64471.92692036831, -59738.13476383352 64472.030770513265, -59738.133650212694 64472.18261310105, -59738.13148108615 64472.444503785686, -59738.13126743116 64472.48081089029, -59738.12987028991 64472.652095437945, -59738.12955688463 64472.68064066952, -59738.129492321 64472.7029853306, -59738.12931588098 64472.72594767938, -59738.12922821176 64472.74529149728, -59738.12909207846 64472.762668333315, -59738.12894044841 64472.77673418009, -59738.12878936919 64472.798662666144, -59738.12875243073 64472.81593874726, -59738.1285325946 64472.8367273572, -59738.12822144901 64472.86123789279, -59738.12815941949 64472.88347915627, -59738.12798524148 64472.9024068048, -59738.12788208017 64472.91843961646, -59738.12767238702 64472.93881467706, -59738.12740209899 64472.965602337754, -59738.12729414383 64472.98577325008, -59738.12720647465 64473.00511706374, -59738.12695647711 64473.031077628584, -59738.12681808167 64473.05248918752, -59738.12671238403 64473.06862538969, -59738.12643167193 64473.09189528009, -59738.1262380331 64473.12344397771, -59738.125331016076 64473.247152249074, -59738.12233267088 64473.617752254715, -59738.117573558804 64474.23359767437, -59738.112974288575 64474.80744446472, -59738.112780924 64474.8429244848, -59738.11230006806 64474.913778511574, -59738.10988149732 64475.209492405986, -59738.109478441926 64475.265347481, -59738.1090297284 64475.32306352167, -59738.10879296775 64475.35636979725, -59738.10861173167 64475.3834702382, -59738.10828310626 64475.41263580158, -59738.10644513945 64475.64525753939, -59738.103080634704 64476.08992180332, -59738.10134781248 64476.29854470395, -59738.09938722359 64476.55982030533, -59738.096621951736 64476.91697741036, -59738.09380821127 64477.27216754201, -59738.091397526194 64477.57150259723, -59738.0899129949 64477.76606226826, -59738.0888041727 64477.91376675254, -59738.08432720408 64478.70735651584, -59738.076370478855 64479.50085186044, -59738.07341806677 64479.87352222006, -59737.776130588616 64516.727196029286, -59737.81861888696 64530.91159084569, -59737.76546321209 64539.90292063737, -59737.76099513998 64540.56998437787, -59736.93322615685 64650.521299926746, -59736.671850444 64684.84665391318, -59705.27802117611 64684.64358150049, -59695.14671398586 64684.569688307325, -59645.74528788963 64684.219251511124, -59637.302926765966 64684.1593136874, -59472.37821703604 64683.57315381589, -59462.60224443669 64683.543829409464, -59461.1934726088 64683.543151490885, -59459.78450492855 64683.5425716902, -59441.321707886076 64683.58506647759, -59390.04964696283 64683.43110038043, -59382.87439284175 64683.37033826642, -59371.64563618902 64683.31677701387, -59366.29596696738 64683.31073253185, -59361.40327464974 64683.31046897977, -59356.360999053206 64683.31214563855, -59355.29112635718 64683.3123865281, -59354.784108090804 64683.3119714903, -59348.46302996713 64683.27862950304, -59346.588744474044 64683.269245588184, -59337.22759649156 64683.229121748365, -59316.94739351889 64683.15552013732, -59234.176156568275 64682.648954793905, -59204.774814960045 64682.431193452314, -59190.197932965486 64682.315166273576, -59186.14451184596 64682.248075632604, -59176.78588496821 64682.13671229203, -59166.47097454987 64682.04387585904, -59163.08386599613 64682.001284197206, -59148.15430599661 64681.77573478658, -59128.2724849883 64681.60849142125, -59122.793006500026 64681.5947616149, -59076.206964845645 64681.57381053495, -59070.74003775931 64681.572830976176, -59061.898556620356 64681.54976766714, -59046.54916257268 64681.46425305732, -59035.94711379155 64681.39753106974, -59032.56082196171 64681.357126181734, -59028.03391151421 64681.29889609315, -59023.50703404191 64681.23932160488, -58999.92200169822 64681.0218852812, -58967.82288437088 64680.403531781754, -58954.2077041606 64680.33982826236, -58948.87056997479 64680.32746269, -58930.13325188538 64680.28381199477, -58911.63772581813 64680.24485710345, -58908.17178620525 64680.23776753932, -58907.698738698535 64680.23651193165, -58905.71678742888 64680.23153548317, -58900.96037453124 64680.21961974542, -58894.43561825705 64680.20500848545, -58892.2222790269 64680.20099149943, -58861.608221080154 64680.13634432271, -58841.123234851366 64680.09094250894, -58821.82008666687 64680.05092883347, -58819.441853601034 64680.04605297988, -58803.69573386761 64680.01022148669, -58796.37824353995 64679.994870059134, -58794.26519641926 64679.991296155116, -58783.800214317926 64679.967560572586, -58764.499871916334 64679.92749967998, -58750.48373714227 64679.896621447326, -58745.78307422587 64679.88713721092, -58732.88399680206 64679.84882317258, -58726.77470676008 64679.832747861255, -58714.570956762305 64679.80720519782, -58706.88208968896 64679.79003473071, -58698.17647433338 64679.76822308371, -58686.69177069252 64679.742748545235, -58669.30418137381 64679.705346088, -58651.32721711595 64679.66538391377, -58631.726367323856 64679.620738023164, -58612.5734895699 64679.578317732354, -58609.826680346705 64679.57180446232, -58590.89485025678 64679.52410238506, -58590.17580902054 64679.52381995888, -58571.0169939703 64679.47501676634, -58549.79837825494 64679.41672431827, -58532.643537706186 64679.37411581745, -58528.87429786661 64679.365904752805, -58507.802902816235 64679.31128374317, -58497.29950619257 64679.28417493795, -58487.17358356243 64679.25872814203, -58470.07777359089 64679.207047424614, -58458.43686025725 64679.17759390467, -58453.86900051439 64679.172001827705, -58435.59708333346 64679.149409848804, -58431.99291520567 64679.13874356235, -58413.78900389171 64679.08819606051, -58405.8525482841 64679.06995002834, -58392.2754197173 64679.0439722492, -58368.99074243903 64678.99478099523, -58346.88768887054 64678.979430237545, -58324.78463280417 64678.96417406709, -58315.83143261404 64678.9568900927, -58313.95117524212 64678.95434408765, -58288.95423132042 64678.91913658156, -58266.54789156805 64678.92179433996, -58243.84127026804 64678.91463190509, -58238.17094870519 64678.912908420054, -58221.62061502746 64667.163038104576, -58199.82269725879 64654.810149882345, -58176.99331533812 64644.81057654479, -58170.977561410604 64642.54733923137, -58163.605714587764 64639.77633713177, -58164.141671826925 64638.67222976389, -58163.79150893685 64638.55088311706, -58158.85154235208 64636.86631767004, -58132.94447023612 64630.0961900832, -58119.16877903979 64627.29845326303, -58098.88438350954 64625.396853278464, -58091.901494518184 64625.03719700174, -58091.95835683531 64623.53180764126, -57995.49368806009 64619.39692658696, -57981.51692107652 64618.47503294531, -57967.5743329483 64617.08654849392, -57967.59514179359 64618.67463966252, -57962.47580332403 64618.12722999446, -57946.40423234329 64615.96944071403, -57930.42137717976 64613.16042448422, -57914.55035508247 64609.70411994942, -57898.81396540539 64605.605595172674, -57883.23479390199 64600.87074007421, -57867.83559680239 64595.506380333296, -57852.63833675257 64589.520147710966, -57837.664948503094 64582.92081128526, -57825.53391300257 64577.06991236596, -57813.58551162665 64570.804356699635, -57801.83186290549 64564.130887880776, -57795.396518846595 64560.314617757336, -57784.98736292908 64553.100080813965, -57767.17281918565 64542.739272573825, -57737.616508634805 64520.40381909186, -57734.377240232425 64516.287350791274, -57725.83165714286 64505.24188404498, -57725.303601010935 64504.750709833155, -57691.30859841146 64471.68225635392, -57676.05306220469 64458.11792123549, -57659.75875894104 64446.0179111556, -57642.53749438305 64435.477131846106, -57624.53016248616 64426.57182984685, -57574.07617958692 64412.7518540889, -57562.54988427306 64412.261328220506, -57551.01675627845 64412.53804816411, -57539.52131994494 64413.580740851336, -57528.10806636118 64415.38554597379, -57516.82118116854 64417.94528436807, -57505.70414015929 64421.250171216925, -57494.731318546204 64425.30385540247, -57484.01180455468 64430.07154011283, -57473.586084625575 64435.535186378715, -57463.49373949629 64441.67424772033, -57453.7729685039 64448.465346824756, -57444.4605794387 64455.88268912498, -57439.48284534841 64459.844778288905, -57439.58664580515 64466.60832052665, -57439.11661505615 64473.35471683914, -57439.104098156036 64473.517940019185, -57439.091001300614 64473.681147447904, -57439.07799856446 64473.84446088575, -57439.06422255306 64474.00775330816, -57439.050349883175 64474.1710431077, -57439.0360956447 64474.33411562768, -57439.021744743295 64474.49718551206, -57439.00691562116 64474.66003550109, -57438.99179144508 64474.823084371434, -57438.97618650828 64474.98601672846, -57438.960495057516 64475.1485329062, -57438.94440428274 64475.31155551395, -57438.92793701505 64475.474154073854, -57438.911278968 64475.636643983344, -57438.894325866975 64475.79933279114, -57438.87670629196 64475.96158966408, -57438.85917830762 64476.12405593527, -57438.84126621706 64476.286408317406, -57438.823069221566 64476.44854604285, -57438.804287193314 64476.610874781014, -57438.78522026014 64476.77298886672, -57438.76625252428 64476.93500219044, -57438.74670736457 64477.09689636665, -57438.72677302997 64477.2588834292, -57438.706556326084 64477.42055244027, -57438.68604457067 64477.582420352475, -57438.665247908146 64477.74407360939, -57438.64416380301 64477.90561559872, -57438.62278718194 64478.06725309441, -57438.60103153275 64478.22856992567, -57438.579080024305 64478.389984880494, -57438.556744418915 64478.55128595336, -57438.534027245485 64478.71236973251, -57438.511017551566 64478.87354903076, -57438.48762122535 64479.03471781916, -57438.464138380885 64479.195470433944, -57438.44026382628 64479.35641931284, -57438.41600516811 64479.51725429703, -57438.39146160755 64479.67787462594, -57438.36662552665 64479.838590471125, -57438.34150708123 64479.99898826625, -57438.31600453004 64480.159272168086, -57438.29020692764 64480.31975496114, -57438.264126953836 64480.47991972539, -57438.23756368228 64480.640071345595, -57438.210997876056 64480.80032635915, -57438.184053039804 64480.960260694126, -57438.15682075885 64481.12008377709, -57438.12901105695 64481.279787699794, -57438.10100803826 64481.43948637961, -57438.072814233936 64481.599076409024, -57437.42766840287 64483.36480890463, -57435.00375161224 64489.482790889764, -57432.049506526906 64495.32834254885, -57428.22839664946 64501.39552638335, -57423.84091276993 64507.007632046894, -57420.362409714464 64510.73692480217, -57416.633114461816 64514.1778991642, -57412.67410770809 64517.31105757897, -57410.062905798826 64519.1335408859, -57405.96977340988 64521.68204712876, -57400.6919315957 64525.00044886808, -57387.93628556707 64532.97618416451, -57379.04949516698 64538.66247424504, -57378.526219560925 64538.99741622596, -57377.25570704326 64539.65335110359, -57373.862112951356 64541.77497210405, -57360.4028811417 64550.188750253816, -57351.05854147883 64556.0305094887, -57347.33730925333 64558.23229993478, -57341.24427031628 64561.36559873911, -57334.96732231952 64564.051005325295, -57332.62233980017 64564.92210031921, -57317.699951673974 64570.60843036719, -57302.92808661558 64576.238739530665, -57294.959042325456 64579.2750099803, -57281.893701315006 64585.192330728365, -57279.703049299715 64587.12938265198, -57271.65834683417 64593.81257580512, -57233.04519423978 64626.06175686462, -57232.92127512495 64626.156982058536, -57232.79726188405 64626.252101230566, -57232.67324864564 64626.347220415344, -57232.549136207956 64626.442440350795, -57232.424927113316 64626.53765765205, -57232.3006289679 64626.63256218296, -57232.17633335835 64626.7273633106, -57232.05212933545 64626.82237384922, -57231.92802704566 64626.91718023392, -57231.80373397241 64627.01187797954, -57231.679247582484 64627.10657047802, -57231.55486292567 64627.2010588254, -57231.43047572917 64627.29565055055, -57231.30589521376 64627.39023702857, -57231.181223114516 64627.484614102694, -57231.056840994286 64627.57899905955, -57230.93207730689 64627.67316673543, -57230.80740520847 64627.767543813796, -57230.682832303086 64627.861820131584, -57230.55797449242 64627.95588179408, -57230.4332133416 64628.04994608086, -57230.30816475231 64628.14389910286, -57230.18340613748 64628.23786000337, -57230.05845420382 64628.331815648235, -57229.93370320042 64628.42546638709, -57229.808751271856 64628.51942203054, -57229.68351696658 64628.613059633855, -57229.55857264482 64628.706705124154, -57229.433437539665 64628.800241965466, -57229.30830243474 64628.893778812446, -57229.183070670566 64628.98731302665, -57229.05784398204 64629.08064046972, -57228.9324239701 64629.173962657165, -57228.80719981756 64629.26718670972, -57228.681975660715 64629.36041076511, -57228.55636486588 64629.45362431348, -57228.431145787225 64629.546641596324, -57228.30553499295 64629.63985514044, -57228.18021925301 64629.73286979334, -57228.05452194816 64629.825667168094, -57227.92901796268 64629.91846979848, -57227.80322399431 64630.01126453622, -57227.677722547065 64630.103963776084, -57227.55202777871 64630.196657761735, -57227.42623888417 64630.28924573259, -57227.30054665402 64630.3818363263, -57227.17456951399 64630.47421226755, -57227.04868903833 64630.566590833085, -57226.92280856063 64630.658969404285, -57226.79702727816 64630.751247210654, -57226.67076270045 64630.84351188431, -57213.69370442475 64639.52103111362, -57200.326865428535 64647.492214335165, -57186.60381080453 64654.737282480804, -57172.55923767306 64661.23762525952, -57172.42138630543 64661.28570971629, -57172.28354762235 64661.33327722471, -57172.14589718501 64661.381056774044, -57172.008145013584 64661.429040458905, -57171.87030886736 64661.47650457962, -57171.732276864685 64661.52406684657, -57171.59453483897 64661.57163698492, -57171.45660203329 64661.61909847712, -57171.31867429855 64661.66635320385, -57171.18055578607 64661.713499292935, -57171.04263058899 64661.76065062631, -57170.90460366 64661.80800611646, -57170.76658687839 64661.85494804736, -57170.628567558844 64661.90199337302, -57170.490451583755 64661.94903607299, -57170.35243733887 64661.99587462328, -57170.21422977244 64662.042707913686, -57170.07602728144 64662.08933444005, -57169.9377205216 64662.13626848678, -57169.799525644536 64662.182584851485, -57169.66132314873 64662.22921137218, -57169.52312319591 64662.2757345066, -57169.38473246085 64662.3221489892, -57169.24634679893 64662.36835670917, -57169.10795860138 64662.414667815414, -57168.96966959696 64662.460878162485, -57168.83128139775 64662.50718926023, -57168.69261590272 64662.55297555379, -57168.55432943503 64662.599082508925, -57168.41576060204 64662.64487142817, -57168.27728081639 64662.690973131925, -57168.138620394246 64662.73655263877, -57168.00033900614 64662.78245282703, -57167.861482729015 64662.82813047018, -57167.72302070125 64662.873508457276, -57167.584459478596 64662.91898721204, -57167.44569985807 64662.96466748513, -57167.30704705069 64663.009936838826, -57167.16820092172 64663.05520093405, -57167.02955064731 64663.10036689864, -57166.89060785735 64663.14562836676, -57166.75196012492 64663.19069095074, -57166.61321572566 64663.235750893444, -57166.47418642402 64663.28059619078, -57166.335538688974 64663.32565876485, -57166.19650938787 64663.37050405227, -57166.05738850277 64663.41513995845, -57165.91855505764 64663.45988710532, -57165.779624949915 64663.50463165057, -57165.640794042185 64663.54927541542, -57165.50158664226 64663.5934951324, -57165.36256748816 64663.637926880394, -57165.22344914154 64663.68245938473, -57165.08433840036 64663.72668172882, -57164.945227658296 64663.77090407008, -57164.80611691986 64663.81512641134, -57164.66682047066 64663.85903334523, -57164.52780892656 64663.90315492875, -57164.38851248012 64663.94706185414, -57164.249119369 64663.99096615101, -57164.11012051149 64664.03457080174, -57163.97072740308 64664.07847509578, -57152.14327068626 64668.83253276152, -57140.14201077203 64673.05796474102, -57127.987731589776 64676.74736977899, -57115.70137994484 64679.89459253226, -57103.303887428 64682.494097997966, -57092.12321889815 64684.20540377948, -57080.89463380215 64685.50437585045, -56983.33161487844 64696.04460959946, -56980.72802220164 64697.529289687256, -56962.40199469526 64697.22417039094, -56914.22624943679 64700.198957205066, -56912.607589017 64700.198095463966, -56898.01726101445 64700.1920052306, -56881.808270082634 64700.18515191078, -56859.634458832865 64700.17535498759, -56843.42554406529 64700.16538886021, -56827.2165532112 64700.15851960071, -56811.00475924175 64700.151569392285, -56794.7957709708 64700.144587286086, -56778.586894853805 64700.14091406179, -56766.79862652095 64700.13265319823, -56763.633375658625 64700.13050099601, -56762.377804638374 64700.13019530682, -56746.169002395116 64700.127445736995, -56744.83992169707 64700.12710675504, -56729.960001274325 64700.11703029903, -56724.06007274311 64700.11449622714, -56724.07009903301 64701.05393858286, -56724.235219776325 64732.39688096338, -56724.464966954205 64776.435058947674, -56724.474435513126 64778.11853839909, -56724.10399254952 64779.74989275098, -56677.51271101251 64779.924697291, -56677.329922401084 64779.92386569154, -56677.427996258266 64797.26299459023, -56677.52295393595 64814.5990379169, -56677.62093116743 64831.93816291105, -56677.71900000992 64849.27749668029, -56677.81697727908 64866.61662041399, -56677.91493402494 64883.95263929368, -56678.010009001286 64901.29178629747, -56678.1050634473 64918.627828458586, -56678.20594059182 64935.96702849881, -56678.303991533125 64953.30315085116, -56678.40196384492 64970.64247756049, -56678.49984205119 64987.981697620555, -56678.59499325076 65005.317739239246, -56678.692874036846 65022.65685463843, -56678.79094561911 65039.99607805354, -56678.886000214596 65057.33211514313, -56678.993846284924 65076.24774757654, -56679.05092732242 65086.28241377913, -56679.06371009908 65088.40235754441, -56689.28838694899 65088.33388076318, -56689.37053732846 65095.644210549886, -56688.988032166075 65105.07081402161, -56688.390456651185 65113.98318955893, -56688.48130842011 65134.00522790015, -56688.56613776423 65152.81036172516, -56688.651237082544 65171.580844559096, -56688.69260977614 65180.600183402996, -56688.73926456442 65190.953310209195, -56688.78733034416 65201.0163860081, -56688.81326716873 65207.1606909135, -56688.993866801335 65246.80435622845, -56689.0159842141 65251.93365862171, -56689.112105637105 65272.65540020617, -56689.20204646978 65292.828865866526, -56689.29510606795 65313.00531221144, -56727.60929357262 65313.14777194938, -56745.10586821613 65313.21119388525, -56745.47717086798 65313.20028724034, -56745.548112295815 65328.2475344423, -56745.62548486166 65344.971968705264, -56745.67922846872 65356.28969611739, -56745.73478696699 65367.82514281896, -56745.784313212724 65378.786557970125, -56745.855739822844 65394.33826496252, -56745.91790885278 65407.53176367945, -56745.977808836695 65420.00970263816, -56746.03743988422 65432.538016741986, -56746.099159846715 65445.2334678083, -56746.176294789795 65461.38423120653, -56746.25451694489 65477.947914171804, -56746.41324938715 65511.80977046478, -56746.481219724585 65520.38776091291, -56738.02461209106 65520.33196176627, -56621.36522062536 65521.35960686695, -56498.818942771955 65520.78445246919, -56418.63419431009 65520.82137423641, -56376.508004470976 65520.59893654851, -56287.4795505506 65520.26874851061, -56266.359947733254 65520.41453388163, -56155.85109776841 65520.12792095897, -56093.934875436746 65520.094615207396, -56044.2942101431 65520.011732913394, -56015.552629603626 65519.84561347033, -55932.28499477356 65519.83015064488, -55876.16137728947 65519.20287983051, -55820.19468730974 65519.02323124828, -55735.4483178665 65519.19712327673, -55708.20630836094 65518.90269885773, -55594.70605371679 65518.86371009017, -55495.78880634031 65518.01883285854, -55410.411123277525 65517.983140745135, -55399.03360906723 65518.046186010324, -55302.30127518834 65517.74086623236, -55231.79443294102 65517.19959134096, -55167.07067549338 65516.960870753435, -55052.28831842449 65516.97298862701, -55041.88463039756 65516.96883913558, -54915.16076629844 65517.303483621625, -54874.99317042654 65517.37892678747, -54868.61208400062 65517.3936178308, -54807.68348235675 65517.60488020912, -54710.17476421523 65517.97954542204, -54375.37921159805 65518.73550984309, -54375.38774504989 65528.18856879855, -54375.38442114096 65529.49046493173, -54375.3917939825 65552.09391877087, -54375.40726723215 65599.107588477, -54375.417988354675 65630.15371261882, -54375.429640531445 65661.58750748826, -54375.441486565105 65693.58875840607, -54375.443097339456 65698.76043414633, -54375.44424132075 65702.7058403155, -54375.09800285416 65724.2053058677, -54285.03019259229 65724.1883200955, -54272.11569652067 65727.75542035403, -54269.86330143196 65728.37678514136, -54215.12921058585 65728.95782585081, -54215.045204868045 65709.74087105457))\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_jun_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0395123034588667,\n        \"min\": 9.535574359128852,\n        \"max\": 18.48822617570338,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          15.785052454422967,\n          15.009712366102576,\n          17.060007349167176\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_jun_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2951211374160265,\n        \"min\": 20.22591690212385,\n        \"max\": 34.49078175588659,\n        \"num_unique_values\": 327,\n        \"samples\": [\n          26.9100840006679,\n          21.058508713555597,\n          23.035447211215647\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_jul_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9378576984971876,\n        \"min\": 12.966756395216494,\n        \"max\": 22.594702749172612,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          17.117968482621382,\n          17.87925116950636,\n          18.501906736661134\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_jul_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.204785494372283,\n        \"min\": 23.206887570206444,\n        \"max\": 39.87350290658431,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          23.817464146009275,\n          36.49479586541094,\n          25.689812042522682\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_aug_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1236620206027075,\n        \"min\": 11.544744516038097,\n        \"max\": 19.645471957185954,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          17.492028796497546,\n          16.563803123356262,\n          18.78647522399566\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_aug_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.4109208762835532,\n        \"min\": 24.192675788636297,\n        \"max\": 36.5592019571887,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          25.211090440779156,\n          35.37788940665129,\n          26.977507798051775\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Calculate distance between Pacific coastline and centroids of every neighborhood/city polygon"
+      ],
+      "metadata": {
+        "id": "TiEDHjZptYaX"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Source: https://python-bloggers.com/2024/10/determining-distance-to-coastline-for-policy-locations-using-geopandas/\n",
+        "# open shapefile and isolate Pacific coast segment\n",
+        "coastline_shp = \"tl_2024_us_coastline.zip\"\n",
+        "xmin, ymin, xmax, ymax = -125, 24.6, -65, 50\n",
+        "coast = gpd.read_file(dir + coastline_shp)\n",
+        "coast = coast.cx[xmin:xmax, ymin:ymax]\n",
+        "coast = coast[coast.NAME==\"Pacific\"].reset_index(drop=True)\n",
+        "\n",
+        "# get centroid pts\n",
+        "centroids = polys_neigh.copy()\n",
+        "centroids['geometry'] = centroids.geometry.centroid\n",
+        "# reproject to Conus Albers\n",
+        "centroids = centroids.to_crs(\"EPSG:5069\")\n",
+        "coast = coast.to_crs(\"EPSG:5069\")\n",
+        "\n",
+        "# perform spatial join and convert to miles\n",
+        "gdf = gpd.sjoin_nearest(centroids, coast, how=\"left\", distance_col=\"meters\")\n",
+        "gdf[\"miles\"] = gdf[\"meters\"] * 0.000621371\n",
+        "\n",
+        "# append final coastal distances to neigh/city boundary centroids\n",
+        "polys_neigh['coast_dist_mi'] = gdf[\"miles\"]\n",
+        "coast_dists = polys_neigh[['NAME', 'coast_dist_mi']]"
+      ],
+      "metadata": {
+        "id": "hitKZ6dZvYWW"
+      },
+      "execution_count": 25,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# append neighborhood/city coastal distance to monthly temps df\n",
+        "monthly_t_polys['coast_dist_mi'] = coast_dists['coast_dist_mi']\n",
+        "monthly_t_polys.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 310
+        },
+        "id": "dRzAPmMeLQjG",
+        "outputId": "706410d5-669f-49a9-d73a-44a6acd8d361"
+      },
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "        COUNTY         CITY             NAME  \\\n",
+              "0  Los Angeles  Los Angeles           Arleta   \n",
+              "1  Los Angeles  Los Angeles  Atwater Village   \n",
+              "2  Los Angeles  Los Angeles          Bel Air   \n",
+              "3  Los Angeles  Los Angeles     Beverly Glen   \n",
+              "4  Los Angeles  Los Angeles    Boyle Heights   \n",
+              "\n",
+              "                                            geometry  TMIN_jun_mean  \\\n",
+              "0  POLYGON ((-80420.84018370246 86166.7122923506,...      16.023328   \n",
+              "1  POLYGON ((-69443.93669937954 75178.01344484498...      15.584058   \n",
+              "2  POLYGON ((-87262.49578034013 71797.30478773602...      15.284292   \n",
+              "3  MULTIPOLYGON (((-84360.16896754658 72183.07312...      15.215470   \n",
+              "4  POLYGON ((-64647.18646021297 63609.52769269179...      16.340755   \n",
+              "\n",
+              "   TMAX_jun_mean  TMIN_jul_mean  TMAX_jul_mean  TMIN_aug_mean  TMAX_aug_mean  \\\n",
+              "0      29.357237      19.184581      35.041955      18.643946      34.462522   \n",
+              "1      28.039536      17.664263      32.218391      17.804987      32.313541   \n",
+              "2      24.698875      17.028975      28.172477      17.276562      28.796151   \n",
+              "3      25.056942      17.097233      28.854722      17.305115      29.354612   \n",
+              "4      27.519060      18.176685      31.179310      18.413999      31.622314   \n",
+              "\n",
+              "   coast_dist_mi  \n",
+              "0      15.925078  \n",
+              "1      15.386364  \n",
+              "2       6.090506  \n",
+              "3       9.309818  \n",
+              "4      14.913755  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-1ab2e592-6226-4485-8dc9-392cf9acf721\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>COUNTY</th>\n",
+              "      <th>CITY</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>TMIN_jun_mean</th>\n",
+              "      <th>TMAX_jun_mean</th>\n",
+              "      <th>TMIN_jul_mean</th>\n",
+              "      <th>TMAX_jul_mean</th>\n",
+              "      <th>TMIN_aug_mean</th>\n",
+              "      <th>TMAX_aug_mean</th>\n",
+              "      <th>coast_dist_mi</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Arleta</td>\n",
+              "      <td>POLYGON ((-80420.84018370246 86166.7122923506,...</td>\n",
+              "      <td>16.023328</td>\n",
+              "      <td>29.357237</td>\n",
+              "      <td>19.184581</td>\n",
+              "      <td>35.041955</td>\n",
+              "      <td>18.643946</td>\n",
+              "      <td>34.462522</td>\n",
+              "      <td>15.925078</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Atwater Village</td>\n",
+              "      <td>POLYGON ((-69443.93669937954 75178.01344484498...</td>\n",
+              "      <td>15.584058</td>\n",
+              "      <td>28.039536</td>\n",
+              "      <td>17.664263</td>\n",
+              "      <td>32.218391</td>\n",
+              "      <td>17.804987</td>\n",
+              "      <td>32.313541</td>\n",
+              "      <td>15.386364</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Bel Air</td>\n",
+              "      <td>POLYGON ((-87262.49578034013 71797.30478773602...</td>\n",
+              "      <td>15.284292</td>\n",
+              "      <td>24.698875</td>\n",
+              "      <td>17.028975</td>\n",
+              "      <td>28.172477</td>\n",
+              "      <td>17.276562</td>\n",
+              "      <td>28.796151</td>\n",
+              "      <td>6.090506</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Beverly Glen</td>\n",
+              "      <td>MULTIPOLYGON (((-84360.16896754658 72183.07312...</td>\n",
+              "      <td>15.215470</td>\n",
+              "      <td>25.056942</td>\n",
+              "      <td>17.097233</td>\n",
+              "      <td>28.854722</td>\n",
+              "      <td>17.305115</td>\n",
+              "      <td>29.354612</td>\n",
+              "      <td>9.309818</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Los Angeles</td>\n",
+              "      <td>Boyle Heights</td>\n",
+              "      <td>POLYGON ((-64647.18646021297 63609.52769269179...</td>\n",
+              "      <td>16.340755</td>\n",
+              "      <td>27.519060</td>\n",
+              "      <td>18.176685</td>\n",
+              "      <td>31.179310</td>\n",
+              "      <td>18.413999</td>\n",
+              "      <td>31.622314</td>\n",
+              "      <td>14.913755</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1ab2e592-6226-4485-8dc9-392cf9acf721')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-1ab2e592-6226-4485-8dc9-392cf9acf721 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-1ab2e592-6226-4485-8dc9-392cf9acf721');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-14b535a3-627a-47fc-93fa-6c12718e90a7\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-14b535a3-627a-47fc-93fa-6c12718e90a7')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-14b535a3-627a-47fc-93fa-6c12718e90a7 button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "monthly_t_polys",
+              "summary": "{\n  \"name\": \"monthly_t_polys\",\n  \"rows\": 360,\n  \"fields\": [\n    {\n      \"column\": \"COUNTY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Los Angeles\",\n          \"San Diego\",\n          \"Riverside County\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 192,\n        \"samples\": [\n          \"Cudahy\",\n          \"Placentia\",\n          \"Huntington Park\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 358,\n        \"samples\": [\n          \"City of El Segundo\",\n          \"New Downtown\",\n          \"City of Laguna Hills\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 360,\n        \"samples\": [\n          \"POLYGON ((-44519.65756410544 67464.61484692025, -44520.735128063854 67461.94740798339, -44523.85622910958 67454.23129315062, -44529.60083714047 67439.78893986002, -44539.164379225025 67415.01366098998, -44540.827146513075 67410.63280025977, -44545.391710851756 67398.48967145072, -44551.28162943102 67382.55771461922, -44557.07198129971 67366.59178439941, -44557.76512942985 67364.63427039629, -44558.61210603115 67362.25401283878, -44558.628523755164 67362.20780451408, -44559.306485215675 67360.36057128747, -44560.886393585686 67356.03340783028, -44563.14459379236 67349.78649795138, -44567.00737793724 67338.99936201064, -44568.85969584953 67333.77712102175, -44569.1562750921 67332.93370970666, -44571.665622350934 67325.79889846127, -44574.47487505266 67317.73251952326, -44579.06782910785 67304.37063406396, -44579.99283789187 67301.65276766782, -44582.08476937237 67295.46875227934, -44584.49575242919 67288.28251671241, -44585.41983397047 67285.53151905852, -44588.07268104414 67277.49271647452, -44590.73777260677 67269.36889867486, -44591.671214954076 67266.48883836716, -44593.37891600066 67261.33008518304, -44595.96172816797 67253.17732046908, -44596.38365917384 67251.84582865894, -44598.52037330687 67245.10665732209, -44601.094363676086 67236.95075358612, -44602.97446795999 67230.86904194023, -44606.11520256551 67220.69194743152, -44606.342665962715 67219.94916564751, -44611.03013604382 67204.40127040661, -44615.865630317436 67188.05658425321, -44616.632854338066 67185.41850146902, -44620.595339469895 67171.69875595564, -44625.227735681 67155.30577484965, -44629.21442745394 67140.8329165854, -44631.17682033131 67133.59455262196, -44632.57526765612 67128.39338827322, -44633.700636139416 67124.2090500931, -44635.82234817571 67116.3283533554, -44637.88858340562 67108.3435084553, -44639.531607798075 67101.93913755417, -44640.23142335735 67099.22192557144, -44642.58053470924 67090.0025421783, -44645.071653016654 67080.07776121875, -44645.702857105665 67077.5430259464, -44647.57797578257 67070.04590662681, -44649.86981869906 67060.5078626441, -44650.17360292905 67059.24513690868, -44650.79314450934 67056.65359531442, -44652.87175407269 67047.94055623212, -44654.02081244966 67043.12258212942, -44654.800469121634 67039.7499962098, -44656.254222249874 67033.47079050208, -44657.78051426429 67026.81378844219, -44658.488093681175 67023.72145296272, -44659.83429660967 67017.75690713956, -44661.166048686595 67011.7230640007, -44661.5671790538 67009.85230954378, -44670.40154010938 66968.58092699727, -44670.73960633635 66966.94639113644, -44670.89360882244 66966.16217906508, -44678.73078493201 66926.39273947546, -44679.58599478621 66921.99594669984, -44679.75261568456 66921.06031146314, -44686.99020833233 66880.90034135507, -44687.65507601273 66876.88101285238, -44691.75737474091 66851.92942829702, -44692.4860267866 66847.49099139735, -44695.094380342525 66831.63998001964, -44697.20039389368 66817.22409295347, -44701.68241076969 66786.25301887286, -44706.051205636344 66751.8860231544, -44706.53838541924 66748.03614613488, -44709.71790838527 66722.52212568454, -44709.96311193102 66720.55709060165, -44710.38319291527 66717.19430429323, -44710.950928598155 66711.90395025794, -44712.65758203029 66696.02646452945, -44713.51858497098 66688.00754702414, -44714.29384552106 66680.05735349184, -44716.02734339275 66662.24443595833, -44716.28318163135 66659.61416398076, -44716.563823655335 66656.73017507118, -44716.74067364165 66654.90562105055, -44716.83924527615 66654.02326204568, -44717.150523360935 66651.20332384875, -44717.53256867024 66647.77845603303, -44717.89948949274 66644.42590280584, -44720.49225504799 66608.76969255423, -44721.5647526902 66594.01541978166, -44721.645615300826 66592.54670780501, -44721.71074092871 66590.63974159265, -44722.52281029537 66578.74590650074, -44724.38907783867 66558.44976388678, -44725.7081491611 66539.16252258288, -44729.03236207347 66490.46862756426, -44730.29791525989 66471.93462365516, -44731.25252287615 66457.96710099412, -44732.69576799841 66436.83006231241, -44733.51252580275 66417.89010985763, -44735.00817080179 66403.5660072368, -44738.498166633 66376.60340938874, -44748.50021365658 66299.31378946686, -44749.78170654796 66289.40373944728, -44750.180944449094 66286.31453545262, -44752.13761666336 66272.54020267415, -44754.203511603955 66258.95404768892, -44757.096781008826 66240.82838846782, -44758.942387096664 66229.7089870328, -44760.813953360484 66218.7061667324, -44768.37179334529 66176.95900008739, -44776.546056188854 66135.70027056702, -44785.39165954926 66094.59618385152, -44787.610922248445 66084.81517837074, -44789.833726814824 66074.93329714856, -44791.80991191341 66066.04641666806, -44793.78959856788 66057.06817730263, -44794.612413328396 66053.28915073532, -44795.2484410879 66050.37289343073, -44795.60393570394 66048.74152113662, -44796.716257644584 66043.61154039283, -44798.724213292 66034.27394664435, -44799.357567935716 66031.30112924942, -44801.20313018697 66022.6247175665, -44806.13524978404 65999.72333985702, -44809.21877285707 65988.57505583431, -44813.82310222683 65971.91423152745, -44818.51750038572 65954.92585140362, -44823.28667972148 65937.67312163026, -44828.017037275284 65920.55568135086, -44832.76600184683 65903.3816425163, -44837.621688228835 65885.80456774095, -44842.361455579194 65868.66627736595, -44846.446484592736 65853.87110620837, -44847.10339090956 65851.49090487241, -44851.89122698357 65834.19522891495, -44856.65450578928 65816.95815902566, -44861.444874046785 65799.64599753851, -44866.13916193292 65782.65408691815, -44871.0283849857 65764.96381242377, -44875.68960435947 65748.10134761847, -44880.39894595749 65731.07539581339, -44885.1888507123 65713.72690365132, -44893.939249704636 65682.08519849608, -44902.60473872278 65650.74604677373, -44904.5690192913 65643.6390912849, -44905.83173874174 65639.08036839338, -44908.10535831502 65630.86643111476, -44909.42812263396 65626.08413057993, -44951.7010559169 65473.16430397035, -44960.34745046469 65440.35377869761, -44972.215715577775 65396.40514828424, -44983.474881122565 65355.33182024743, -44992.70410667469 65321.42386206942, -45000.77528348784 65291.76299118727, -45005.4300876455 65274.61002699455, -45009.94512314809 65257.94930198672, -45018.444762489926 65226.808954739165, -45024.97098948914 65202.77728597686, -45065.89742017044 65052.2600394162, -45067.67370303133 65045.7302706604, -45068.37581063693 65043.15183867382, -45072.693352130416 65027.29347164059, -45082.9759784281 64989.48788342964, -45092.41526276103 64954.82441159846, -45115.50955300464 64874.19734231555, -45115.975807749666 64872.57334370697, -45116.05343762268 64872.303278594176, -45116.1436696351 64871.98876241741, -45118.09342146468 64865.18554982407, -45117.471094339555 64865.26429980977, -45116.18695560619 64865.44627156587, -45086.931168616014 64869.7432417264, -45084.87039234016 64870.04473787351, -45085.87432869388 64866.353941969326, -45086.21989000413 64865.08355902743, -45087.44521078572 64860.57842472879, -45088.8214003706 64855.51896990648, -45095.018651809274 64832.73576565244, -45095.70445882992 64830.21451043554, -45096.76730301939 64826.307036399645, -45099.00602085919 64818.07639617865, -45103.973220691805 64799.88851156261, -45101.34311684868 64809.56581000999, -45107.903498858475 64808.35199892306, -45133.66348242276 64803.59321705515, -45142.05544119271 64802.04482956749, -45153.83355438281 64799.869778684064, -45195.36267313279 64792.20488307286, -45195.61743893597 64791.92560060246, -45198.88246896956 64788.36637215188, -45216.71601051189 64769.32321552622, -45238.26741612732 64746.30067846786, -45242.28138861079 64742.01677281371, -45271.753536611395 64738.10181229089, -45289.63325131574 64735.72930383483, -45314.16413438301 64719.41376470351, -45337.837816530686 64703.626876060865, -45386.92947562388 64670.93614276182, -45436.695780772134 64545.71966561307, -45444.27416319464 64526.55443048059, -45457.383045220275 64493.62370531575, -45488.83771070155 64414.4115275711, -45557.67806103186 64444.96693670973, -45574.98311755974 64452.81316710451, -45537.71731103316 64543.00126984258, -45529.42093716205 64567.44347604603, -45493.44660248725 64655.5554731338, -45541.74661934539 64677.42420338135, -45543.10519726306 64678.03921451778, -45552.98178920398 64759.42460891723, -45640.8013512642 64747.36767978146, -45652.47211769391 64718.08356174847, -45656.99680154239 64706.159854709775, -45661.131663224194 64694.075563437655, -45671.41485383047 64667.17223141316, -45668.870670860226 64666.14972589377, -45660.027062816764 64662.368198581324, -45617.33584177827 64667.79562815762, -45628.036602112305 64641.04164556536, -45638.342138754524 64614.3666347519, -45645.21604898403 64596.635531342894, -45672.91219798935 64609.30760922601, -45672.95179194356 64609.286554063, -45692.35610660632 64618.31666366728, -45726.49166314442 64534.7568196679, -45743.04654934011 64494.32778232333, -45755.39713203047 64464.02572172248, -45752.0962256733 64461.02438844595, -45740.4934075537 64450.70390859752, -45738.57427950107 64448.99543797149, -45737.08083882303 64447.629476777816, -45728.025252064814 64439.55018619004, -45719.990811709555 64432.38350997294, -45711.633755706855 64424.9191485714, -45702.93319987791 64417.14101149491, -45695.27146747108 64410.30401005239, -45684.578572535545 64400.75404312896, -45678.88277631606 64395.67303855332, -45665.205533276385 64383.47314789909, -45618.11412937194 64341.4343473453, -45612.59465703179 64336.483552893405, -45602.95820712883 64327.846532779615, -45546.476588476085 64277.471512014556, -45503.04717220254 64238.72575731911, -45506.285589300445 64227.862209698935, -45332.217329741616 64073.459433484204, -45335.51581585357 64061.1349816562, -45346.37880996999 64020.95233726638, -45346.547944266385 64020.7136421526, -45349.19423992097 64010.4082655925, -45352.06575453976 63999.21509577957, -45353.37429230844 63994.33823419655, -45365.87838298281 63946.93482723549, -45365.97138636977 63946.598039510565, -45386.14586490997 63873.207940261556, -45415.910826409956 63764.93478521433, -45457.79572974618 63612.56688910281, -45464.81484140997 63587.03399478105, -45492.56182503436 63486.0999784628, -45492.72338376881 63485.60264205751, -45501.346129089136 63458.75673209531, -45501.475476085136 63458.35400323306, -45513.10210619249 63424.80158420831, -45525.33270234311 63391.29953328011, -45537.82374690115 63358.7791668295, -45538.22069309932 63357.75972054873, -45544.661240453905 63341.789743263565, -45551.42888783668 63325.009455534426, -45565.27093828393 63292.23071511439, -45579.382665646735 63260.37690701662, -45580.24346238947 63258.492753941784, -45588.78508306849 63240.02898515664, -45594.94241863574 63227.083228040006, -45600.22431696589 63215.98366793489, -45604.98815998989 63205.96303497603, -45613.093777442926 63189.89608650092, -45621.9553435413 63172.32293245605, -45639.33989176555 63138.93085737567, -45657.27091916381 63105.86607540426, -45659.09930962719 63102.5933484572, -45675.61053113838 63073.06811557087, -45676.54965882997 63071.483852209596, -45677.244695422116 63070.311383683, -45687.680648315836 63052.619734933374, -45694.598162223614 63040.89756169428, -45694.72008164857 63040.68695351126, -45694.889297952715 63040.413394416595, -45695.70029371972 63039.08395134025, -45734.36836089449 62977.17345583649, -45734.5703227519 62976.862307699004, -45754.88445975101 62945.88345325931, -45759.695986338564 62938.80422692025, -45765.932285822135 62929.62909823916, -45770.82990755096 62922.427356971806, -45776.01405604101 62915.06296620698, -45786.427362867835 62900.21468223504, -45797.457903878 62884.48674820206, -45798.73124406975 62882.74765673768, -45799.92065069175 62881.12575851142, -45806.482350651 62872.22934900197, -45829.7515296689 62840.83593354822, -45840.368838187365 62827.054270029985, -45843.23949029745 62823.35776680587, -45852.41211129228 62811.54555336276, -45869.523911289005 62790.07171768123, -45875.56868500175 62782.70832965887, -45897.995554124056 62755.44682059384, -45899.07432598064 62754.19433244894, -45911.039486958536 62740.22351029135, -45922.60977532684 62726.83726259426, -45923.7715685896 62725.496833501755, -45944.18574742779 62702.44682497118, -45945.056972275444 62701.46115616018, -45947.498280059495 62698.79965956111, -45948.42275557262 62697.79217119346, -45966.98427259966 62677.55788249425, -45968.02122614747 62676.42487764276, -45972.251538322904 62671.94043078136, -45973.4067733607 62670.71341581819, -45987.82811350915 62655.51135186138, -45997.418946032645 62645.40496738843, -45998.89609106011 62643.98057811708, -46003.54087025384 62639.69680221376, -46032.54018180788 62612.965187382724, -46033.96391612697 62611.69513966551, -46035.15670976051 62610.63230206654, -46058.975415298344 62589.66792851828, -46060.51849789074 62588.33131496712, -46061.74682852171 62587.259000705744, -46065.5705570821 62583.92646799001, -46066.854865286594 62582.83551235135, -46076.078899679706 62575.01776294791, -46080.62728812841 62571.165339576364, -46085.16670006029 62567.3160840797, -46093.114917785584 62560.680665155116, -46101.07678684728 62554.22190815031, -46112.506399496 62544.95201107918, -46113.03903957053 62544.51966381088, -46125.17966673853 62535.07669931033, -46137.97711686371 62525.12305410185, -46155.36114387502 62511.91620518653, -46164.57175927594 62505.0502836177, -46174.328646147806 62497.94129678072, -46174.78114970187 62497.60938341527, -46184.952167572264 62490.20281268693, -46187.23842486769 62488.533653145634, -46187.430615640136 62488.395835063435, -46200.241023539485 62479.42277704251, -46212.347495731825 62470.94100007245, -46212.66678503299 62470.72824178183, -46225.12959891468 62462.32087790188, -46237.657444451776 62453.87277100739, -46238.70115797569 62453.16546111712, -46250.746010865696 62445.28244829807, -46260.05295416301 62439.19258596146, -46264.1736768433 62436.61791672055, -46276.9882252803 62428.60637220116, -46280.16306381202 62426.62312978319, -46290.706330071895 62420.230255037335, -46299.44363987561 62414.9289565112, -46304.68385885473 62411.83009609903, -46317.91009020122 62404.00651534782, -46320.46675468702 62402.49621265178, -46330.79312655614 62396.45535089348, -46341.19641932716 62390.374072389066, -46344.036183059725 62388.80520313205, -46358.1671842189 62381.0047257324, -46371.508999467806 62373.641882865464, -46385.27935280771 62366.04464546535, -46398.30790993634 62358.85375173226, -46411.78582193659 62351.41579085619, -46425.53543596352 62343.82801071753, -46579.16691230062 62259.58443362825, -46579.18472248619 62259.572092542534, -46612.076343274945 62241.559738299016, -46612.12916373542 62241.531802458856, -46672.72439919579 62308.648521385585, -46673.36757454006 62308.12639362877, -46677.30714594093 62304.928791041246, -46677.4104682348 62304.84130163054, -46690.31858998368 62319.14142168667, -46701.05382179493 62331.034542819754, -46718.91805640773 62350.82602169612, -46726.66957322953 62359.413676732, -46743.17610724534 62377.708013822965, -46796.95805899831 62437.30523443108, -46848.00217066501 62493.86903637867, -46865.47860290827 62475.57155237448, -46883.39956170733 62456.806086826036, -46901.70135731751 62437.59810531699, -46916.292845320415 62422.33485988604, -46919.92273695095 62418.52551326233, -46930.763731658066 62430.40534205289, -46932.64855670488 62432.51393999721, -46950.8856687159 62452.5616652648, -46951.46290649694 62453.19623269909, -46970.56061529418 62474.19539905412, -46971.399961661526 62475.11015956271, -46972.42364341812 62476.23056580954, -46974.07108153822 62478.04485107974, -46975.4382205636 62479.55951275749, -46979.14800514437 62483.630745499904, -46980.0014749811 62484.56906652081, -46990.09408308184 62495.66262023344, -46991.58848967467 62497.3041872247, -46992.14322016785 62497.9139295247, -47002.429858628115 62509.22404761737, -47018.23639622086 62526.59752105885, -47029.742528454844 62539.24693018635, -47041.26326517234 62551.91215115667, -47046.29968555805 62557.449857616244, -47052.75132286037 62564.54926618616, -47064.0555972206 62576.970092184885, -47066.54743989755 62579.705892753474, -47086.8656236076 62602.04412843098, -47096.76775321062 62612.93029445692, -47098.0375062667 62614.32621014098, -47108.760332456666 62626.11068943929, -47096.7322630206 62638.56855492235, -47081.4191197094 62654.426314041295, -47036.550886350924 62700.889718731254, -47025.79593261863 62712.02288608368, -46995.223897158525 62743.67931884934, -46962.20181776996 62777.884370707376, -46977.73137019229 62795.36313653239, -46993.664966580924 62813.301642682614, -46994.90898510697 62811.99613372455, -47005.465891936125 62800.97549524666, -47016.010960487176 62789.96425547332, -47019.80680322406 62794.225713839216, -47044.87422860766 62822.36216660055, -47047.72938821027 62819.422062719175, -47067.17533397937 62841.1257254405, -47111.82411581529 62890.950570911875, -47152.818781595015 62848.30585061968, -47154.555091712224 62846.56853258231, -47174.97783362693 62869.02948896078, -47213.98366004879 62912.008417149016, -47227.45391587453 62926.81105013835, -47240.923983165456 62941.645021384706, -47254.30304499758 62956.38400928408, -47265.75625132182 62968.995389046984, -47267.80251114468 62971.21826003494, -47281.12596484085 62985.893955794585, -47283.544408199734 62988.56628304786, -47294.22940110098 63000.36364795002, -47300.863869075474 63007.576754756505, -47306.556343984885 63013.91533588141, -47315.95176457024 63024.23761746022, -47321.95244208591 63030.842441071174, -47355.36805821129 63067.628345578734, -47384.6153162428 63099.80740840857, -47409.098842714455 63126.77447817001, -47421.109037650276 63139.990653978486, -47423.18160328072 63142.27672542221, -47427.01000987675 63146.50035065222, -47428.23202605838 63147.843326619324, -47436.41129431282 63156.83218356137, -47460.28792156188 63183.12805862652, -47463.974275664434 63187.188783082864, -47494.8234787929 63221.148730584915, -47507.416772586555 63235.03281514082, -47511.61466742533 63239.630602503115, -47515.115070337524 63243.464840569046, -47525.21664817601 63254.603836637885, -47535.66153832825 63266.103661612724, -47554.69541837946 63287.06132137531, -47565.9110232824 63299.4191807125, -47572.23147323398 63306.33139736575, -47578.217786327536 63312.87941247238, -47639.78655169235 63380.73890087042, -47661.306316812355 63404.43533214247, -47681.759141066206 63426.95710696696, -47703.183361626 63404.690171267524, -47724.31151904469 63382.73387682946, -47739.67050125664 63400.039002461606, -47745.751794692726 63406.8984118594, -47749.734400291556 63411.389214644754, -47707.75073269716 63455.105563585355, -47705.07251078132 63465.84284102485, -47703.89681073716 63470.43578752862, -47703.62775874849 63475.39297059533, -47703.924309297436 63475.55471361013, -47703.94001756196 63478.40463112538, -47703.14490163005 63540.24924176291, -47703.14339846978 63540.36558860621, -47702.758247506325 63570.16433648152, -47702.67054179903 63570.16338604046, -47680.773740534125 63569.96403311042, -47680.75901975185 63601.56756110179, -47696.114319225024 63601.748458308255, -47725.84703276583 63602.10242687844, -47725.65105931237 63618.207536958704, -47725.460917067816 63633.716796311455, -47725.07336947456 63665.617904322215, -47724.74858128259 63691.86386009865, -47724.69783879763 63695.50153448857, -47724.48977828638 63713.0283124576, -47724.21000361391 63736.074674155345, -47724.009170814876 63752.55488138762, -47723.766840647455 63772.76105567412, -47723.61939684999 63784.33001469163, -47723.42517301061 63800.088175343764, -47723.236011956185 63815.978897493485, -47723.12740258321 63825.013420467, -47723.11141385361 63825.87715028126, -47723.10308915569 63826.570594390025, -47723.04257845188 63831.55127192877, -47722.85127487468 63847.31261456993, -47722.46637316035 63879.283199492864, -47722.36583202236 63886.6185755838, -47722.27178155848 63895.6864978297, -47766.383732433824 63896.43971991504, -47813.65698370147 63897.24191365075, -47854.74560339994 63897.9405210655, -47865.64635343465 63898.14935150627, -47894.86587120898 63898.80628565943, -47894.73927284801 63908.325316390954, -47893.80378050263 63960.238925869475, -47911.36726281917 63960.496599981496, -47928.933820010585 63960.68814085579, -47939.8611212691 63960.81626292833, -47946.70093859403 63960.893333822176, -47963.79306416515 63961.10447829078, -47963.511622044534 63985.09357611353, -47963.50691526267 63985.462474445514, -47963.49245323926 63986.60671458962, -47963.05031650443 64023.07874508059, -48029.04612779714 64023.972501547854, -48028.76530225924 64045.40801254524, -48028.49493374259 64065.89780831641, -48028.22475853927 64086.38760848781, -48027.890111429675 64111.605955790124, -48027.558542004066 64136.82107532376, -48027.22740382583 64162.010755182266, -48027.22699305531 64162.03929775699, -48027.20945239259 64163.21831791507, -48026.904986992406 64179.503662970805, -48026.88405890753 64193.99538814004, -48026.88274321958 64194.87214017769, -48026.871444089134 64202.713264493555, -48064.673951549754 64203.10532303735, -48065.49909089866 64203.11391924882, -48079.08446109327 64203.254795210065, -48093.229762578834 64203.407771286766, -48107.375025638175 64203.554431899815, -48125.02725778075 64203.7432868412, -48135.66872038414 64203.82900000235, -48135.6546797774 64205.49963433004, -48144.31866632728 64205.62635174936, -48161.70522770767 64205.87693587379, -48177.32368214133 64206.10317249064, -48198.426274961195 64206.406104310685, -48200.60407678631 64206.45137232887, -48217.81684247265 64206.60273185021, -48218.25442532737 64206.60662642715, -48218.38878789713 64189.63816759505, -48218.73816420726 64145.532194266016, -48218.75398955363 64143.51710064776, -48225.83247860466 64143.62362976202, -48240.47240880043 64143.848234403595, -48243.80241455331 64143.89655281746, -48262.57402400747 64144.16862803636, -48262.58012511454 64143.538128157445, -48262.58864665846 64142.38762204555, -48277.264110794895 64142.58711764102, -48276.65261267755 64190.28142801895, -48276.72272449864 64207.39969464076, -48278.873992277724 64207.42261186983, -48310.7007123492 64207.808685767355, -48310.71243791974 64205.98021804359, -48395.76572979751 64207.16054298794, -48404.21182313583 64207.28612544123, -48404.19845531287 64208.79942187946, -48412.466278911364 64208.83467504201, -48432.20681655051 64208.892542960704, -48459.198810540285 64208.98114296552, -48459.49659311233 64208.98245538529, -48479.91660433679 64209.04884593517, -48508.38900779761 64209.14364764488, -48532.73537488493 64209.225067639396, -48534.940745812215 64209.23083184649, -48540.6274180089 64209.50080632901, -48546.51551826793 64210.14696851657, -48547.33999764571 64210.29272192467, -48552.637293428415 64211.23868754476, -48565.01525942724 64214.84138357758, -48569.92139899649 64216.80366095439, -48572.89111494854 64218.21445222942, -48575.79315265207 64219.59649485113, -48582.19150017018 64223.21150537002, -48589.18760166162 64227.50414402514, -48612.13214160037 64241.59992175981, -48613.810814805016 64242.63112010028, -48618.08317284579 64245.22535767277, -48675.85472167581 64245.315013729814, -48678.94306159797 64245.36135601155, -48711.72254992026 64245.568813237995, -48711.878715992585 64245.56666738758, -48715.87729087254 64245.61067773466, -48715.88938071944 64264.47793035067, -48735.953767794665 64264.73210704222, -48735.99010909973 64264.729272460296, -48736.14343612798 64264.72063468953, -48736.296710034 64264.718099351536, -48772.07263958516 64265.07870074997, -48771.540049500436 64246.066661074015, -48807.49286473349 64246.42814296302, -48807.71216205781 64246.42327367508, -48807.821437860264 64246.41632850985, -48830.133607774354 64246.174071207104, -48882.91536592872 64246.297633803544, -48900.394408444394 64246.346705989316, -48918.194556682465 64246.400513320485, -48929.98268790715 64246.4349569357, -48941.77389682994 64246.46617156993, -48949.159104533486 64246.533090413606, -48968.288423134305 64246.5364061444, -48976.522482529595 64246.56010005574, -48988.31078917091 64246.59132894293, -49002.28292713937 64246.62709160304, -49002.48013547673 64246.62761835172, -49015.86281482019 64246.64447599042, -49030.00867813017 64246.683841056205, -49055.500694499446 64246.75547350722, -49078.163483695134 64246.81671900917, -49091.69799264934 64246.68107518131, -49091.58915292149 64255.83238632117, -49404.96209141186 64257.41353384557, -49404.972153217044 64248.239246554345, -49404.97022779279 64236.8903013512, -49405.003885967264 64226.32962657497, -49405.0756482076 64205.460519534914, -49405.08231270585 64204.10191323481, -49405.1261887183 64184.750567551615, -49405.165831059865 64169.30197548489, -49405.165913687364 64169.27497577336, -49405.17780951957 64163.81542089378, -49405.215914401895 64148.082799967815, -49405.21519875027 64148.06467564368, -49405.06276653455 64143.195708865365, -49405.08169790171 64135.06253056116, -49405.11092763103 64122.35812814648, -49405.11230537431 64122.0774901689, -49405.14693899406 64106.466540513975, -49405.126500740625 64101.55172751004, -49405.18143572113 64090.86510453747, -49405.143713068086 64081.02915005646, -49405.21488795798 64070.05143179182, -49405.42659456511 64060.4133742096, -49405.3400658344 64049.09863305914, -49405.5610549044 64049.099704614855, -49414.47293310317 64049.12033301225, -49437.87255131879 64049.18180228719, -49443.97303992716 64049.19834965802, -49461.71422388288 64049.24230277095, -49470.025032602935 64049.25995085911, -49472.44744478294 64049.27781455001, -49485.028326124666 64049.347557246234, -49508.784156810674 64049.44541946493, -49520.569419840955 64049.48607389566, -49531.91537681914 64049.549693020446, -49531.99271334888 64031.833133222295, -49532.012106088754 64026.00123718455, -49532.08427907608 64002.04263116877, -49532.155089826265 63978.3679730109, -49532.22578750869 63954.7215540272, -49536.95877228062 63954.734667581906, -49551.971021623904 63954.76860023659, -49571.59845330486 63954.81531816366, -49586.910270700115 63954.84873440107, -49600.55116666334 63954.88636834692, -49600.64919674762 63983.62069886865, -49609.799903308965 63983.6760633981, -49665.97333346238 63983.92267164545, -49665.882450504505 64002.64807472644, -49665.79370024865 64021.49933761254, -49665.70320437659 64040.13019115648, -49665.60932390154 64059.45431242754, -49665.562534743614 64072.73231291409, -49665.54136308993 64078.30583056094, -49665.45811947844 64097.251902933276, -49665.407894044474 64107.58545615228, -49665.3654008017 64116.35538237228, -49665.27354885845 64135.23842040708, -49665.18624631629 64153.83769924432, -49665.15441658837 64161.633672638796, -49665.10899915252 64172.75227492446, -49665.0237306702 64191.540518128175, -49664.93750606468 64210.48981513367, -49664.849524413425 64229.81398714828, -49688.4259774617 64229.86693819791, -49696.70712552186 64229.89119078261, -49720.87296096396 64229.9621925506, -49738.9073466484 64230.33208831985, -49738.85799881491 64244.13981111705, -49743.35395682093 64249.25249267816, -49767.40471170398 64249.35809218128, -49793.927783236955 64249.5133098895, -49794.005628075625 64230.4441908055, -49794.08410894341 64211.27432237871, -49812.149130934 64211.40491030187, -49823.93701041709 64211.4927473576, -49823.81518624883 64230.50159274173, -49823.766246784086 64239.97142582358, -49823.71337685641 64249.63678622898, -49823.59992828567 64268.733899707215, -49827.07757577905 64268.741152266775, -49827.54893594028 64268.74026664094, -49827.79351909538 64289.98600259579, -49826.96840034914 64289.98839945897, -49825.81606324984 64289.982893742344, -49802.84661404307 64289.939338342454, -49802.772941802956 64289.941981653894, -49802.67830679126 64309.42704921214, -49802.606643635874 64329.63103672765, -49802.50850698902 64349.2390159033, -49802.41307583793 64368.87862217203, -49802.34405211086 64388.54967524906, -49802.24774513571 64408.37857998446, -49802.1756232371 64428.04975370878, -49802.08821734399 64446.0428709961, -49784.35248900977 64446.09135569531, -49695.70637850877 64445.607599352596, -49695.66986422867 64451.912332486514, -49695.590625598765 64466.41342038521, -49695.54329947291 64481.009317322605, -49695.460100511766 64495.10050802698, -49695.32503372398 64523.50379430577, -49695.2626796008 64542.387001115625, -49676.28395271457 64542.30890645395, -49673.82618121358 64542.297120979696, -49672.747559341646 64542.29507404309, -49672.6956402132 64551.75219798347, -49672.640816215804 64561.20944929116, -49672.604925509324 64567.5793750263, -49672.53300445089 64580.37612306498, -49644.065046482836 64580.20227701021, -49643.93357475582 64595.74331935049, -49643.80093615824 64611.505207232054, -49643.66249797691 64627.26693616436, -49606.55895581335 64627.199932522446, -49588.87597232673 64627.3138350475, -49566.06306791942 64627.220455130235, -49566.0658464982 64629.679569513915, -49566.06906591665 64658.745534771835, -49566.073168086186 64674.4139075484, -49578.83395240144 64674.488438825814, -49578.84904502012 64690.59948778118, -49578.92897548585 64717.238612359884, -49579.0344561016 64753.145992430975, -49584.00315610538 64753.16347132061, -49599.195104614904 64753.22661044791, -49608.035842268146 64753.2536435131, -49608.09688890738 64777.89658883074, -49616.68164549041 64777.79165360366, -49636.031503609 64777.9174601599, -49646.56409770325 64777.98594241911, -49651.37941280349 64778.02229607946, -49661.917835000735 64778.1015905578, -49673.14888145086 64778.169903447124, -49673.15906285068 64810.04487046381, -49673.321059355636 64810.04557100809, -49676.07634298315 64810.10914124742, -49705.578912202414 64810.2501909972, -49705.56563198943 64778.40679692967, -49732.1478859829 64778.508620256995, -49737.15778368311 64778.52638304853, -49756.60815024757 64778.60047517398, -49761.373384711274 64778.62013996363, -49761.26058065409 64793.97225842181, -49761.25593522717 64794.3190183625, -49766.53415808185 64794.34421084442, -49786.632657593305 64794.446651056445, -49791.20052098902 64794.46847474141, -49820.70016746493 64794.62210858088, -49820.66928495181 64798.53095786196, -49850.19572116382 64798.621682472316, -49850.20254603205 64795.342014176786, -49856.974930772725 64795.41214465969, -49863.752741549055 64795.489767866595, -49877.10280138331 64795.547425535886, -49881.55277056014 64795.568711782464, -49897.4961023022 64795.63863428761, -49897.55092741472 64762.53763086807, -49902.56382654496 64762.55525380255, -49915.23600608212 64762.606389659115, -49932.9181619443 64762.67206277333, -49932.90671623125 64767.08537568142, -49932.82581968047 64784.10845061875, -49932.8157376066 64786.78809064973, -49932.75017737698 64794.823459832565, -49938.6736894199 64794.83915367077, -49952.52492046028 64794.86754623974, -49952.61559756673 64773.77468968116, -49952.66317603033 64762.77265174354, -49968.40025748284 64762.832058850305, -49981.66196148052 64762.87972618459, -49987.11405684076 64762.902507662264, -49987.047936658186 64782.54227638967, -49986.97052046128 64799.691558219165, -49986.935770377284 64810.43509957291, -49986.92931214499 64812.4274790666, -50004.49379224233 64812.44832642039, -50004.30339404809 64858.28794480325, -50024.35545699094 64858.29229958442, -50029.85762347409 64858.47400711007, -50035.34172835439 64858.98162339029, -50035.82278673053 64776.84880168618, -50035.86305661526 64769.8945773879, -50050.129535642714 64769.95011418768, -50057.20230238201 64770.01414630948, -50063.921539437746 64770.03490024017, -50071.937226310394 64770.104816301464, -50093.9218692205 64770.238064233425, -50108.95443381886 64770.33188634896, -50117.64514234497 64770.38288128914, -50120.24450370994 64770.39530629787, -50122.802375186744 64770.40752933083, -50147.08567377865 64770.548797486066, -50159.02693490113 64770.61840430201, -50164.53198768832 64770.650994321644, -50165.34834210492 64770.65497423216, -50173.0016076461 64770.70101282725, -50176.526246310954 64770.72090652937, -50178.57741539155 64770.73553348826, -50179.264042444614 64770.74031600374, -50179.38483649394 64770.74092455392, -50188.146304913644 64770.78970240017, -50191.2612795656 64770.80709923339, -50191.549989409636 64770.81156863296, -50195.53426304447 64770.84328761393, -50204.52269563755 64770.88615596196, -50205.58366019642 64770.8943315571, -50218.63868661243 64771.00406229501, -50232.754657105004 64771.1188607943, -50232.9904661254 64771.12302353314, -50256.89325692607 64771.31913439764, -50256.79307380632 64794.96243026928, -50256.75774863712 64810.72479625766, -50256.721430752295 64819.16092304103, -50265.568402736 64819.099463504106, -50273.78376129307 64819.065656562576, -50296.41659484976 64819.220971091425, -50296.62938711112 64803.33340722444, -50318.411415198585 64803.30812652974, -50319.14815502575 64803.30858549619, -50321.29946281093 64803.306284735605, -50330.131945768255 64803.295216042716, -50333.353260466654 64803.29129969123, -50333.50933957769 64779.6482890145, -50333.67190027735 64755.910688735545, -50336.61892588934 64755.92162966599, -50353.50246254341 64755.989676078716, -50355.45043938086 64755.99589247276, -50361.94273763011 64756.02148401882, -50363.02430573139 64756.025667084825, -50363.71387064214 64756.028975694804, -50374.871230862555 64756.0727883842, -50387.99745913774 64756.122867188664, -50394.115442355236 64756.1362696913, -50412.829316667514 64756.17202284426, -50418.61903698947 64763.515915197604, -50420.30124911878 64765.6440943612, -50431.816822659835 64780.108530778925, -50434.03608512322 64778.06338339108, -50441.86917449347 64770.87208820185, -50459.75534372136 64754.42253644752, -50507.43345834609 64813.803657551965, -50507.14620184314 64814.0669726774, -50507.30453763989 64814.26010180367, -50541.69951050771 64857.385492091875, -50566.0119361242 64887.88011589029, -50570.462304483204 64883.59501722022, -50589.34795918729 64878.91937512984, -50623.70983285543 64870.32799279372, -50626.87926580202 64869.45102942184, -50668.90934589403 64858.80005888131, -50674.62184464664 64857.352534582984, -50680.38459143264 64855.910933354615, -50682.12250967382 64855.47482152221, -50682.54748880564 64855.369620732, -50695.17650100182 64852.16385815619, -50700.08279996031 64846.812255445184, -50700.64873082576 64846.19393419331, -50702.04127708169 64844.68104247988, -50716.579724535986 64828.817664032846, -50718.11361833515 64822.469596062845, -50733.24546121334 64759.73765528991, -50749.071878223964 64694.13379955089, -50773.67676209953 64694.200807219146, -50795.03995390518 64694.25867293418, -50856.50947565662 64694.41957590312, -50861.6756459794 64694.43467446548, -50855.92297219388 64702.91590009968, -50789.48484510147 64800.900077569204, -50779.90594124935 64815.03447341832, -50774.45707741287 64847.680975647876, -50772.067012764324 64861.02038100627, -50771.498608785885 64864.24106183275, -50771.409263286194 64864.756004723, -50768.94010421834 64879.8986547114, -50763.74221930673 64911.77380891132, -50763.24203818926 64916.852655652394, -50763.415431225956 64921.95578479692, -50764.25890327493 64926.9813006, -50764.40512409626 64927.57726479593, -50785.48453478896 65015.67679875995, -50785.69791857196 65016.66131301419, -50785.57901701594 65016.85939218474, -50785.48743754233 65017.65836303068, -50785.270417778804 65018.429287547784, -50784.934216555375 65019.149679793205, -50784.48853945135 65019.7984928308, -50783.94632010551 65020.357147302886, -50783.32343529856 65020.80931677206, -50782.637913916944 65021.14163026523, -50781.90962159292 65021.344698297515, -50781.15978754174 65021.41268604996, -50759.58409988363 65021.448436621125, -50751.598298039426 65009.99714764845, -50744.142946781605 64998.143513655996, -50737.235542939285 64985.915531622624, -50730.89268546217 64973.34231200049, -50725.12912407277 64960.45343205271, -50719.95871316926 64947.2794791507, -50704.59373209062 64959.75953783319, -50701.68557735665 64962.120673224264, -50694.66128329584 64967.82352420771, -50677.74678588222 64981.804008364175, -50677.5271157233 64981.98557704962, -50716.62333422489 65030.2119715015, -50871.77290444848 65221.5933305397, -51003.237131271024 65383.75843644781, -51066.138655669056 65461.34931344004, -51075.061420875034 65473.27035265517, -51083.43344250169 65485.64025498272, -51091.23502584378 65498.42992946634, -51098.44804560208 65511.60939688403, -51105.05546510879 65525.147673152605, -51111.96511709752 65541.06684378126, -51117.05255005362 65554.47342559288, -51121.379187877894 65567.46466615342, -51125.492706330886 65581.7692509214, -51129.38736967179 65598.12114329387, -51132.02262816245 65611.866971505, -51134.19933785298 65626.49041679612, -51136.093149096974 65645.42695873177, -51136.913202001706 65662.75681328514, -51138.21009360693 65769.39610205278, -50197.59403340024 65778.96780663931, -49600.90508592097 65785.03052817097, -49600.92893649735 65787.43507039931, -49600.99417736773 65794.02727467341, -49601.329782275905 65832.92782457857, -49601.364821114454 65837.84291483379, -49601.48395958059 65853.9591458517, -49601.64992131819 65870.7840835686, -49601.72956426435 65887.7327749513, -49601.90264454119 65904.8429255914, -49601.97711264183 65921.71874523466, -49602.09022614297 65936.66224519358, -49602.204929904285 65953.06544047412, -49602.20873610807 65953.49736731728, -49602.38314131909 65970.39205417284, -49602.51802878848 65988.70310339327, -49602.5053663676 65989.99874331226, -49602.489006050026 65991.66951494779, -49602.673880173934 66017.30036346536, -49602.729129744825 66024.7249006279, -49602.82514109295 66037.72958998343, -49602.93627695672 66053.06088649217, -49603.051142669625 66068.87448993893, -49603.21492477766 66088.54955618666, -49603.341505645556 66107.60463191362, -49603.49981570641 66125.14298675318, -49603.567690393815 66139.67959604572, -49603.72998610031 66156.01963163105, -49603.85587353036 66173.17669365958, -49603.996320908576 66192.09248002738, -49604.11038029337 66207.54106632862, -49604.22396400805 66222.98932876618, -49604.31481644347 66241.88834356105, -49604.50286223677 66260.82342861571, -49604.644120909594 66279.6825401204, -49604.72474284569 66298.27339013616, -49604.85399998054 66315.93136630916, -49604.98120920166 66333.42851631259, -49605.10309849949 66350.79961522201, -49605.17632289596 66360.00531112863, -49605.25680785195 66368.29686708361, -49605.32354350451 66380.04366177325, -49605.34716560048 66384.06075273166, -49605.463303681434 66399.82648007611, -49605.57826389574 66415.58896761392, -49605.69617489252 66431.35339742745, -49605.7935252307 66447.11612706851, -49605.829707184545 66458.4685412542, -49605.84154792072 66462.09093812824, -49605.927085064795 66469.97584408404, -49606.04093901786 66478.07836570368, -49606.15075955377 66493.08507278882, -49606.27453264713 66510.06825997203, -49606.37720036571 66524.71236681168, -49606.38494716282 66525.56680870464, -49606.50170817171 66541.582910138, -49606.61178359458 66556.96133699016, -49606.72649565309 66572.9505864801, -49606.83976218949 66588.45903929925, -49606.688118156606 66604.5142582908, -49606.84089547407 66622.19128057863, -49607.19228876434 66637.22744549897, -49607.19646488161 66637.57734180764, -49607.42442204531 66676.19400095307, -49607.43453739496 66678.35038813941, -49607.50284044509 66680.05936898528, -49612.52205473667 66683.01531836619, -49615.863301877405 66684.98574832581, -49631.732458432234 66693.8303427062, -49622.017514627005 66724.28342173343, -49621.91871001892 66724.58870906412, -49608.01927840991 66767.88224925981, -49607.959543693425 66768.06176766918, -49608.979108746644 66882.14465109502, -49609.29343844913 66915.7114150476, -49609.45888282801 66933.21527735957, -49609.769258412765 66968.20361086917, -49609.7714414817 66968.37075062445, -49609.8945885295 66989.73616177485, -49609.89675109581 66989.90019730777, -49609.8814395097 67009.43966932547, -49609.871899832 67018.06498413923, -49609.87944100148 67035.1256725777, -49610.0008882928 67050.42307827999, -49610.015181446906 67051.6687585774, -49610.214814658735 67072.46394127996, -49610.44259040162 67095.31161453188, -49610.520235955955 67117.55318021351, -49610.6496053192 67123.08970258082, -49610.76506739123 67138.74903497625, -49611.185192112636 67195.44358425797, -49611.19272843336 67196.31053725515, -49611.292712803304 67196.35506428574, -49650.400898373926 67213.19081349527, -49675.97196509407 67224.19889653238, -49697.68181276861 67233.5270179592, -49716.4044810184 67174.0773652229, -49749.3713039744 67069.5102452952, -49769.765005772046 67004.59586316529, -49778.1714926784 66977.61541109948, -49809.19306217785 66990.7837860047, -49819.38356941792 66995.10741485686, -49827.32719588344 66998.46816684163, -49832.012281200965 67000.44507611573, -49841.81164305189 67004.60283508028, -49844.6731953924 67005.81454702267, -49846.04375742595 67006.39491198605, -49857.3020223966 67011.15541263994, -49865.14257272162 67014.48727321673, -49869.93055620757 67016.52792456854, -49876.83014559936 67019.43909289376, -49882.5621510234 67021.86244565542, -49895.22306894489 67027.23180136191, -49907.854776446795 67032.5696301793, -49920.04524297708 67037.74125744624, -49920.13048636632 67037.7794844062, -49931.756481357625 66997.77875236017, -49933.94742302908 66990.24197674815, -49934.3004251895 66990.38559169006, -49947.286998148295 66995.44446339204, -49960.36917014924 66951.13475105025, -49961.33573272557 66948.12556530583, -49947.994065724466 66943.33922454744, -49947.626340586656 66943.19251776952, -49935.15265641524 66938.72244951109, -49922.278772274185 66934.10861238201, -49920.57831804434 66933.49523817767, -49909.43717016746 66929.49182600871, -49896.598681958385 66924.87822529108, -49884.81023060435 66920.68260087508, -49917.10217559593 66817.5954461787, -50189.41451459614 66809.42745872866, -50246.05449785449 66807.99522142364, -50245.15788121494 66812.92241670153, -50239.365908119085 66844.65351057758, -50238.2881401811 66850.5373752624, -50233.72585245278 66875.61004254853, -50233.60509393111 66876.27372094482, -50226.01624673684 66917.9876927419, -50223.993221469136 66929.10944276504, -50219.76644921252 66952.3078644137, -50215.45466494461 66975.97861574848, -50211.20092864531 66999.27458067355, -50207.074259796085 67021.87444989913, -50202.91346684133 67044.82409900503, -50200.261380330376 67059.30058267455, -50198.6290482005 67068.33751226199, -50194.411366634056 67091.47285900517, -50191.401982974625 67107.91485392697, -50190.157823592446 67114.70571441631, -50186.86033510634 67132.83609203728, -50186.039969425874 67137.30892104101, -50182.57881634616 67156.3810293367, -50178.14295708759 67180.74794350739, -50173.88909759427 67204.04089218777, -50173.29878851098 67207.26312584204, -50169.64188537022 67227.30339822138, -50165.447462610005 67250.37771103192, -50161.25683281617 67273.41570979691, -50156.7287029342 67298.16050128854, -50149.359101472684 67339.02028737041, -50145.914696645974 67357.65440008797, -50145.070560231004 67362.19320241146, -50140.27649079435 67388.09387182981, -50139.62240425821 67391.68783525113, -50136.54899065205 67408.60230672928, -50136.53890774747 67408.65841442307, -50134.358467561186 67420.8965804129, -50107.073451583965 67409.0321691369, -49857.297590602204 67301.98197447581, -49846.72041065304 67330.90788839135, -49839.759415984416 67349.94935232366, -49820.11679067202 67341.55794520944, -49819.22285077397 67341.17216128802, -49819.205209977015 67341.16578254152, -49721.07621963942 67298.90636441714, -49721.048747230045 67298.89464779578, -49682.538709739565 67282.30671919949, -49662.99013380623 67273.57145610059, -49617.6018420741 67419.09783580278, -49608.97131070933 67447.00445677145, -49607.24536913084 67452.58537129463, -49606.76327454947 67454.14989249474, -49590.984509096364 67505.17753915497, -49577.816342077174 67547.77186128122, -49570.251847483705 67572.23429251685, -49522.95872870816 67725.38121558097, -49531.19728486073 67728.30851478051, -49539.26243618764 67731.1521396561, -49586.45752959306 67747.90673269084, -49587.02864384531 67728.01986354751, -49587.55445724049 67710.14726693567, -49599.97851028802 67707.88650679424, -49613.018923843905 67705.50250203277, -49625.065409562216 67703.30280675161, -49630.99711208813 67702.2183036635, -49648.20270825575 67699.05028094778, -49652.27553627149 67723.90569588996, -49655.74175053985 67745.04457441425, -49638.23498592989 67748.33720904162, -49620.64009576071 67751.59473915547, -49603.378305421385 67754.82556713762, -49586.169416015575 67758.0566967869, -49534.96539596117 67767.5941054909, -49517.90116301039 67771.29574762784, -49508.18578506419 67773.09231053424, -49507.33586910653 67775.89269061344, -49246.08941901292 67822.06077063031, -49247.704158511566 67832.24285859501, -49250.22018987513 67844.39028387901, -49259.84305717633 67906.73116252857, -49261.08246760259 67914.75216438589, -49237.55944406246 67919.18455290182, -49235.154015674736 67904.63637426177, -49231.50516735379 67881.67116031647, -49226.16252997819 67848.84002820561, -49222.727354490555 67827.70228474084, -48830.11497348111 67899.33515136094, -48572.0075834009 67945.57642949051, -48571.30825547695 67941.00757033695, -48448.537401397945 67963.6386383973, -48420.78441783664 67968.75444483367, -48425.41346231915 67999.73819608719, -48431.53319274688 68040.70068346467, -48436.32841730818 68072.81073401937, -48391.90898664759 68081.03390497481, -48369.33222916596 68085.18163556013, -48369.32114546598 68085.10912099128, -48368.34503127213 68078.71105877006, -48367.660216456046 68074.46113282061, -48365.55390744165 68061.5191658268, -48362.7759127539 68044.29287014925, -48360.066378279735 68026.93747127688, -48359.27456619426 68021.87694665781, -48356.839135895374 68006.34188186565, -48355.16425117046 67993.85563227136, -48353.56132904303 67980.96373698527, -48336.10319422635 67983.98841025989, -48318.644863347676 67987.01317613476, -48289.47122545463 67992.07176614698, -48272.032050312664 67996.2976360959, -48265.396976576034 67997.6844051546, -48263.82335834334 68002.04039185657, -48166.67398895783 68019.43062253023, -48168.02426151746 68028.6831035513, -48171.27341380146 68049.09122137283, -48171.302916632645 68049.28021262362, -48171.37466804591 68049.75361871888, -48173.79590699534 68065.74422860482, -48123.92010719286 68074.86496414499, -48074.92287577537 68083.91418881189, -48072.34719472508 68066.70551492026, -48072.211937265274 68065.61595317996, -48069.87107008235 68046.75448823515, -48068.777822312695 68037.51679212802, -47914.03776249219 68065.85339478777, -47837.898150810826 68079.77021632841, -47839.31227728875 68088.87216507978, -47841.224142433035 68101.20020907553, -47843.43091650999 68115.89560807408, -47845.985832481725 68132.9254705303, -47846.44490016521 68135.4969831823, -47846.54081140508 68136.08547152013, -47847.387816988914 68141.6080934267, -47851.87107753141 68171.20087612722, -47832.149352079236 68174.89553440892, -47830.31958474466 68175.1678602058, -47827.23076092098 68175.32919696343, -47827.15377859049 68175.32874695322, -47827.079502754954 68175.32837095525, -47827.00786721833 68175.32682571278, -47825.608979667646 68175.28929348772, -47824.94615516232 68175.24851009075, -47824.288088615955 68175.17940669817, -47823.104002010485 68175.06022585643, -47820.89606507133 68174.91004472277, -47811.17533483015 68174.24941889607, -47810.85995322176 68174.26355392007, -47810.730412830664 68174.25670068947, -47810.680294307764 68174.25336440917, -47810.50056176191 68174.24617306619, -47810.32075304826 68174.2420832958, -47810.137978684004 68174.24453352965, -47809.958208408476 68174.24675556197, -47809.77845862599 68174.25208179964, -47809.598645545426 68174.26392396422, -47809.41883500815 68174.27566274958, -47809.24194476888 68174.29058504502, -47809.062020332836 68174.31483875563, -47808.88216952424 68174.33609428698, -47808.70514235844 68174.36053068854, -47808.52535302245 68174.39109884735, -47808.34828559065 68174.42505200623, -47808.17133784987 68174.46200862549, -47807.99729245771 68174.49894116598, -47807.8201872985 68174.54230769306, -47807.784769491474 68174.55478822654, -47807.64610418027 68174.58865360034, -47807.47193981388 68174.63830784427, -47807.29789259879 68174.69106893911, -47807.12666902811 68174.74701089988, -47806.95538723508 68174.80926202067, -47806.784283351975 68174.86820745456, -47806.61591932346 68174.93374547169, -47806.44459980731 68175.00540996068, -47806.279275772205 68175.07713496947, -47806.113875569084 68175.1519615367, -47805.94849331778 68175.22999569132, -47805.78593470742 68175.31121071616, -47805.623475298366 68175.39232500589, -47805.46395160391 68175.47993377653, -47805.30435428032 68175.57054074058, -47805.14767725837 68175.66433120336, -47804.99099769682 68175.75822505807, -47804.887454731776 68175.82708763193, -47804.837355589385 68175.85840928224, -47804.77820626878 68175.89589762822, -47804.68064084197 68175.96161312031, -47804.53282138653 68176.06495676869, -47804.379044891946 68176.17455171554, -47804.23406957415 68176.28418043809, -47804.08911474545 68176.39691338158, -47803.9441753319 68176.51295729309, -47803.80212031636 68176.6257695356, -47803.66304453579 68176.75118130332, -47803.52385160612 68176.87348621732, -47803.38779278963 68177.00208413778, -47803.25442251463 68177.12754847882, -47803.12128654017 68177.2592265344, -47802.99387148228 68177.39426814122, -47802.86355915386 68177.5291270585, -47802.7390643998 68177.66735218104, -47802.61759168698 68177.80855668803, -47802.49611643968 68177.94986457705, -47802.37748532074 68178.09745754873, -47802.261947338244 68178.24513511188, -47802.1491209255 68178.39267991472, -47802.036406584164 68178.54353834948, -47801.92661762378 68178.69737352458, -47801.82274290192 68178.85457754057, -47801.71877405932 68179.0116755375, -47801.61781964076 68179.1720630692, -47801.51986677195 68179.33232577573, -47801.42173853682 68179.49579079419, -47801.32960578736 68179.65931632253, -47801.240299217636 68179.82591933198, -47801.151107257465 68179.99573258284, -47801.06781412682 68180.16560369806, -47800.98442687273 68180.33536878432, -47800.904051508325 68180.50852679447, -47800.82950641176 68180.68453408983, -47800.75205388518 68180.860772228, -47800.68340507501 68181.03694077258, -47800.61767402976 68181.21639620782, -47800.55204218754 68181.39575092215, -47800.48931269284 68181.57508153505, -47800.42940430253 68181.7576964101, -47800.3753972802 68181.94026575757, -47800.321601526695 68182.12604799481, -47800.27049431275 68182.30869665687, -47800.22540561994 68182.49440665217, -47800.18033487319 68182.68332423911, -47800.141142461216 68182.86919549071, -47800.10197054466 68183.0581709392, -47800.068506665055 68183.24709558889, -47800.03523357334 68183.43612892156, -47800.0077831317 68183.62832167419, -47799.980294250774 68183.81420261705, -47799.95876566715 68184.00945406874, -47799.94011132683 68184.20188738519, -47799.924542324065 68184.39078415072, -47799.91178934911 68184.583171941, -47799.90194380396 68184.77532888424, -47799.89509473178 68184.9675677706, -47799.891262626166 68185.16299282387, -47799.89040903745 68185.35529222435, -47799.8923586054 68185.54766828967, -47799.89730718605 68185.74002290759, -47799.908157129474 68185.9323320135, -47799.983823493545 68186.7543852522, -47800.16549228011 68187.55709465742, -47794.26299947364 68188.69227260476, -47792.056836247604 68189.06458630788, -47771.60842800249 68194.9011439589, -47729.762884468204 68202.31056799313, -47726.84651070694 68202.82287927851, -47723.76927507959 68203.36306884985, -47728.11898892368 68231.36313786074, -47678.184270903956 68239.8685789673, -47673.896651481475 68211.86875631403, -47672.92775953434 68205.62202822111, -47669.66184534936 68184.50300311994, -47668.54577631595 68177.20311256954, -47661.45316366534 68178.51201511711, -47654.28607473328 68179.83263928392, -47625.6863115493 68185.05151578828, -47610.04428090063 68187.9144814142, -47596.73243917059 68190.35690508323, -47588.02798783439 68191.95752618203, -47569.63989193251 68195.30226787039, -47568.459861021685 68195.5456986663, -47542.165736844276 68266.79698347223, -47541.45515186521 68268.68515242984, -47535.785062844065 68284.0825420984, -47520.21072700335 68326.2595838447, -47506.30563550678 68362.90471267857, -47501.87537717975 68375.25739844494, -47504.42758256335 68391.64101450452, -47507.2312217452 68409.66516379885, -47508.69189831551 68419.01005892012, -47510.149573391165 68428.35507863712, -47512.47595012152 68443.31590742327, -47512.95311270021 68446.41088068097, -47514.439318865494 68455.94507150301, -47517.10592469201 68473.0544457568, -47518.70908316427 68483.39950723985, -47519.51479274512 68488.61456734888, -47521.42466559742 68500.73595848493, -47525.53092484655 68527.1168159899, -47525.660258044554 68527.94737192208, -47353.15870208877 68558.29116591059, -47353.65051391512 68559.86409872497, -47337.386996320995 68562.66053314238, -47322.83689296547 68565.21985262971, -47308.28673089313 68567.77761485787, -47293.76757673685 68570.34491178131, -47237.54614908625 68580.21644280704, -47225.35873427875 68582.3552758509, -47213.171110642754 68584.4907899463, -47198.62100353381 68587.0501801772, -47170.79190938772 68591.9541932294, -47156.269111032154 68594.2838220529, -47155.67080036629 68594.38487370576, -47156.42768658829 68599.34679317546, -47142.45027413554 68601.68233939266, -47114.17275322418 68606.70078725037, -47099.86433351091 68609.24555597772, -47103.16915195385 68630.89452274813, -47103.89697040689 68635.7875739578, -47103.62177488885 68636.00071363943, -47096.572767399266 68641.40185859741, -47096.464602278946 68641.23750953929, -47091.61034552103 68633.95130689463, -47088.14372255934 68628.74806290427, -47073.00006261564 68606.01736421167, -47066.46106495459 68596.19397245652, -47059.5445266279 68585.83190562614, -47052.73939746262 68575.58875546933, -47033.586002471755 68590.3106218267, -47032.160963320726 68591.40477113405, -47014.698863048325 68604.81309693208, -47012.178601566135 68606.74609186113, -47003.26604381054 68613.58225990133, -46991.9220288841 68622.27615569977, -46985.75434920392 68627.02884225006, -46976.89006424544 68633.8489462677, -46957.321626091936 68648.88148293049, -46942.88345832079 68659.95013407075, -46938.19791769833 68663.54039858158, -46906.647403154064 68687.7770614403, -46899.44295139288 68682.09608562464, -46899.41358842191 68682.07076333382, -46907.17614455734 68617.76904185022, -46907.17246586797 68617.75735424036, -46907.17744716715 68617.71600515403, -46909.088114954735 68601.92159004851, -46911.61781954909 68581.00375159616, -46913.706589437614 68563.5264459123, -46907.86054991371 68562.72898499228, -46902.01456610849 68561.92531768813, -46890.15121868526 68560.41178053596, -46890.15444994035 68560.37079737538, -46890.163543448805 68560.30773183117, -46892.69759331862 68538.9806403104, -46892.70162613335 68538.94640365042, -46893.57081659051 68531.63244419418, -46894.99343343078 68519.6373977963, -46895.40208359073 68516.1999116719, -46895.61401359598 68514.43539100968, -46894.72470173918 68514.88508576404, -46876.16834133418 68524.36710851245, -46870.50707181679 68528.03463981161, -46824.51349155453 68557.6558449225, -46678.80106561687 68651.4851216647, -46651.32103480174 68669.18048188677, -46651.29743761477 68669.19607847948, -46638.062288544716 68677.67913314332, -46579.13598073888 68715.45667541631, -46552.61001250281 68732.46012099668, -46553.7560660061 68735.23842213371, -46554.252867607014 68736.43088780253, -46554.707253387045 68737.51118547368, -46556.98574828574 68742.92888894824, -46559.129017588806 68748.10256549704, -46560.57157403348 68751.58419833315, -46543.81102394251 68764.51116327931, -46531.80114912709 68773.79132794948, -46528.3254132952 68776.47323176044, -46518.45714624037 68784.08328103399, -46507.444170215305 68792.58967565767, -46500.31219357814 68798.10372135279, -46453.435472938174 68834.23381110176, -46453.25537228785 68834.30854154372, -46450.62198128066 68840.11879706616, -46450.60726144641 68840.13132600216, -46440.36863899081 68846.34296278223, -46421.807197598915 68857.4957948988, -46420.389838162824 68858.34805394939, -46418.254523650685 68859.63193031312, -46417.13719325302 68860.30752822285, -46419.040588886535 68852.37891827479, -46419.74193719368 68849.45720611751, -46420.42769364418 68846.6189689851, -46422.912062612435 68836.25893436251, -46423.7658924391 68832.79205081225, -46423.67579802397 68831.31307743116, -46419.54929510119 68762.6957478965, -46406.291666250974 68542.24348786005, -46405.922198718596 68536.40627779537, -46395.9195076639 68537.71057142338, -46367.28458042144 68541.66154722225, -46361.66683686208 68542.43834374995, -46344.40635883355 68544.78582495432, -46326.02550401404 68547.2792283178, -46317.35222063913 68548.4569584623, -46308.26677210065 68549.69054644345, -46290.82936290459 68552.06244522061, -46273.12668835169 68554.46763101827, -46257.85092836337 68556.5469493473, -46255.45631348299 68556.87307467617, -46234.745669116324 68559.69569259157, -46231.29231135977 68560.17087821639, -46188.63248052576 68565.96457146498, -46161.54909845293 68569.64869132747, -46142.117024150444 68567.0897949901, -46122.68775831977 68564.53076182358, -46101.90070755583 68561.80440113645, -46096.07222739499 68561.0323714409, -46072.63771481168 68557.9274956899, -46072.19596425102 68557.86863927603, -46036.76558065027 68578.18968863176, -45989.83334016572 68605.10408937179, -45944.8014484164 68630.92420375724, -45939.44360905052 68634.00053061428, -45925.146012373065 68642.20396421099, -45921.600033554205 68644.23286602256, -45908.90711251223 68651.49513719587, -45896.96197271261 68658.36375159748, -45879.62707445485 68673.66811717821, -45863.750184746474 68687.91050387174, -45862.27581670227 68689.22104480163, -45852.26030954557 68698.12323505974, -45846.861627629005 68702.93316530086, -45839.45985305484 68706.96747343367, -45826.40535696206 68714.07664225914, -45813.17961544084 68721.28591832955, -45792.607984282404 68732.49491748991, -45771.859359359005 68743.76630756861, -45763.06883301744 68748.54738322942, -45760.91923621558 68751.23565695668, -45736.10573221879 68782.17214529055, -45733.63592809207 68785.25605379815, -45728.861946242694 68791.2099095606, -45712.16975062155 68812.02837535564, -45709.21963432661 68815.7057880675, -45696.00801588231 68832.1648011238, -45685.65140045644 68845.09732162235, -45638.85444522492 68874.51541429362, -45609.589636284996 68892.95238920223, -45540.814098403825 68885.82793838275, -45540.72494912414 68885.81877212842, -45540.704881822014 68885.81667068675, -45539.345980338854 68885.67506607895, -45539.28037560066 68885.66819995356, -45539.1782101628 68885.657332289, -45538.88684605329 68885.61903990625, -45533.26636512838 68884.8846162143, -45472.117158427456 69043.48102707176, -45464.00142274124 69039.8926279353, -45456.39621346093 69036.52439645129, -45450.21621678098 69033.77599625412, -45428.658967118194 69024.2471396573, -45298.65940636961 68966.78603735825, -45261.3766355729 68950.310032093, -45252.743389629766 68946.50237713587, -45218.454026454405 68931.37938928876, -45209.10177000192 68927.25480465239, -45190.98906308139 68919.24427095932, -45122.27439112473 68888.85480650653, -45122.13143291433 68888.79171381744, -45118.64443022964 68887.24998754637, -45118.05949965591 68886.99136097799, -45011.01077285552 68839.61379188519, -45001.02403971481 68835.196183849, -44992.290117762874 68831.30141312678, -44985.16484465294 68828.12700040269, -44979.61866597956 68825.69479316851, -44977.82463547578 68824.91369562544, -44957.11894255083 68815.75621128375, -44937.29539419795 68806.99615459002, -44920.70057283898 68799.68798925309, -44906.54995213435 68793.39009189188, -44903.37392783313 68791.97812166552, -44901.61264426722 68791.1751588003, -44882.66823790022 68782.8206088321, -44876.20763722629 68779.9268591472, -44872.96967765933 68778.5397779583, -44863.43512010955 68774.46155523544, -44844.197094732095 68765.86917305729, -44842.35643045825 68765.0058914773, -44842.14180486333 68764.90710797206, -44835.383907203504 68761.93309900718, -44825.10578387966 68757.43505545238, -44807.926224063856 68749.80150253527, -44805.72352198682 68748.83560357134, -44787.220438756936 68740.64405388967, -44780.80380611806 68737.79143118362, -44773.85776536401 68734.69980345988, -44767.83812003226 68732.05089758697, -44753.44600834533 68725.7045467587, -44751.77275438011 68724.95240813817, -44748.602784785486 68723.53418052495, -44722.70651939279 68712.10061147592, -44713.78423995262 68708.16401094195, -44712.77265843104 68707.7082970122, -44712.14232152968 68709.36502671118, -44711.48820604396 68711.08410878011, -44711.41220820923 68711.28376315066, -44711.08163797872 68712.15241541108, -44710.05703305273 68714.84530392675, -44709.98279272895 68715.04035098941, -44709.81031986699 68715.49361928807, -44707.43757740469 68721.72930903792, -44707.12779210724 68722.54328594227, -44705.81583240018 68725.9914862628, -44702.96412796082 68733.48623477644, -44699.896630756084 68741.54789904495, -44696.517687263826 68750.42814975626, -44696.51263089849 68750.44104650585, -44696.46609113695 68750.56371005623, -44696.42120714472 68750.68197042293, -44696.292074369994 68751.02076380132, -44696.167260385046 68751.34912313815, -44696.11628485329 68751.48304517336, -44696.03686863834 68751.69191676554, -44696.029947939045 68751.70983170984, -44696.02249822351 68751.72959434122, -44695.94773902998 68751.92607552744, -44695.891068758334 68752.07525626391, -44695.79594427512 68752.3250793356, -44695.777440775535 68752.37350641545, -44695.68902080767 68752.60633970983, -44695.59730707106 68752.84725567338, -44695.485518025176 68753.14152148017, -44695.33359866721 68753.54165987622, -44695.242411407264 68753.78083152622, -44695.16426686018 68753.98518595927, -44677.41135938578 68800.25831154746, -44675.991154571944 68803.89586679978, -44674.555767632424 68807.56476657312, -44659.80789840682 68846.14125626053, -44647.80701693583 68877.55614734492, -44644.735543350995 68885.45279024217, -44625.78484571297 68877.11805202448, -44607.905662961166 68869.1184851803, -44605.45893452286 68868.03788398254, -44588.96415628244 68860.76401912661, -44569.57901284301 68852.16761477196, -44550.490506879505 68843.73348100219, -44529.19659071748 68834.33345993965, -44507.46456561128 68824.69485690459, -44485.879641287094 68815.13579886922, -44463.55948348481 68805.25480294572, -44441.9743676769 68795.6957220793, -44431.10550282381 68790.87642935656, -44422.79180215381 68787.23589464049, -44420.09510927706 68786.05004818711, -44401.76724797519 68777.96280000744, -44399.53627785611 68776.97821243918, -44399.29580052063 68776.8726148069, -44396.620701910484 68775.70546366088, -44388.570825997806 68772.19267986996, -44386.3159477678 68771.20878135467, -44384.416404227486 68770.37987297488, -44383.698083309355 68770.06637223001, -44383.19862809876 68769.84835896785, -44379.36355987492 68768.17476165284, -44379.064019534875 68768.04406076543, -44378.750127423715 68767.90696612089, -44373.62569727437 68765.67071783212, -44372.527642167144 68765.19141927165, -44371.787211104376 68764.86841520808, -44371.25732517296 68764.63704969258, -44371.272718090586 68764.59712421572, -44371.319074928586 68764.47797338676, -44371.39633203875 68764.27825055562, -44371.457155975 68764.12142488573, -44371.50610456835 68763.99520670764, -44371.567350703284 68763.8369442375, -44371.60700046845 68763.73488653102, -44371.66411604748 68763.58727015754, -44371.71274926137 68763.46207788438, -44371.7442523559 68763.38059131143, -44371.859231404174 68763.08641358853, -44372.09588864738 68762.47341260636, -44372.609038750525 68761.14959966535, -44373.23538483229 68759.53331886094, -44373.98688873264 68757.59437886218, -44374.04513869029 68757.443896829, -44374.64184346597 68755.90418776785, -44376.09731283057 68752.2447427988, -44376.59906296786 68751.01093342817, -44376.60566575831 68750.9941478034, -44377.67579063166 68748.39738134669, -44378.55167621508 68746.26187225625, -44383.09020460841 68736.05340661838, -44387.959190897665 68726.02035355804, -44393.59009584789 68715.34503793309, -44399.602762361654 68704.91047594328, -44405.988196511054 68694.73235297903, -44408.81734077061 68690.44379143602, -44413.82297034562 68683.19172679953, -44413.8439063739 68683.16240217927, -44415.5714486922 68680.76356191609, -44416.07056116777 68680.07023147543, -44416.12332986231 68679.99719030801, -44416.3793950691 68679.64149600382, -44416.42984659824 68679.5722191541, -44416.48375997746 68679.4998300803, -44416.66694499545 68679.25624893306, -44416.87733089341 68678.97637649486, -44417.0494208721 68678.74738874183, -44417.14431111254 68678.62129172229, -44417.24470562436 68678.48768990395, -44417.330596735635 68678.37355390757, -44417.4307953848 68678.24005018307, -44417.44169456218 68678.2255548685, -44417.49318650058 68678.15723762145, -44417.51578607199 68678.12713095563, -44418.424723959164 68676.9180342564, -44419.19907417707 68675.88784648165, -44419.25776440429 68675.81000177765, -44419.58314233148 68675.37716772105, -44420.05860840092 68674.74474477618, -44420.08440524011 68674.71048408418, -44420.373288089606 68674.32610116636, -44420.6850681111 68673.91130937038, -44420.86495158154 68673.67218972863, -44420.93874548798 68673.57406802244, -44421.11133400612 68673.34447319355, -44421.317818073396 68673.069873434, -44421.336116478175 68673.04554580747, -44421.50420542869 68672.8219314781, -44421.65369836799 68672.62294699186, -44421.848983120086 68672.36324814409, -44421.8992795722 68672.29634649062, -44421.90956322731 68672.28328268102, -44422.204830898205 68671.90279912134, -44422.2604638482 68671.83128482364, -44422.33718042874 68671.73231212412, -44422.46023068525 68671.57419173168, -44422.57450814591 68671.42669365172, -44422.792456714684 68671.15395993643, -44423.17246139571 68670.67875825582, -44423.616635321916 68670.1231722052, -44424.24102647141 68669.34244204518, -44424.32075984699 68669.24272439403, -44424.41965395397 68669.1190131061, -44424.45918613778 68669.068989934, -44424.53294717915 68668.97614352226, -44424.59199372113 68668.90348131134, -44424.62682031898 68668.85995027346, -44424.660754116834 68668.81732585278, -44424.84586516704 68668.5859016855, -44424.971395576664 68668.42919418166, -44425.03506374355 68668.34952026531, -44425.13585281151 68668.2234814557, -44425.51595923087 68667.74807563389, -44425.5915007964 68667.65362273618, -44425.931088102014 68667.22904067472, -44425.902753730115 68667.22485005029, -44426.29520429717 68666.73912670164, -44427.50651056633 68665.25029901875, -44427.56862977288 68665.17461737945, -44427.80623029077 68664.88545569152, -44427.91122655368 68664.75746308372, -44427.93256207208 68664.73156342105, -44428.22795015439 68664.37373974288, -44428.7261121505 68663.7702854189, -44429.51408161414 68662.81568246707, -44429.544187389394 68662.77926387111, -44430.02619767531 68662.19543707714, -44430.39485094497 68661.74920194264, -44430.92889517733 68661.1025558403, -44431.30672565917 68660.64498528565, -44432.216608749586 68659.54309348499, -44432.27532213077 68659.47218087582, -44435.01981570397 68656.14891108774, -44438.23993512973 68652.24970875809, -44439.023013271566 68651.30128233481, -44439.24552025407 68651.03198404307, -44441.363955643654 68648.46674193755, -44444.93130111151 68644.1469941784, -44451.29168910548 68636.44519879829, -44454.77100377418 68632.23218243649, -44457.06828293103 68629.45044799034, -44461.59964092623 68623.9633549893, -44462.98345061196 68622.28775942487, -44464.56295286045 68620.3752360428, -44470.343537168075 68613.37552371062, -44473.30197038359 68609.79306398176, -44474.82744444574 68607.94578786177, -44477.83052754631 68604.30972052146, -44478.66414892887 68603.30008853255, -44471.79468934226 68600.25293734085, -44453.89449018814 68592.29432828406, -44400.59043812181 68568.75449332755, -44409.606493746425 68545.37117108222, -44412.081341298595 68538.88906730551, -44418.358103073784 68522.44055860525, -44426.87539374304 68500.42933935192, -44427.284145424404 68499.37847457756, -44431.83993044129 68487.60116508561, -44432.945490808015 68484.74310917253, -44438.53265324751 68470.21775118877, -44443.472321311994 68457.43327564349, -44443.580615885556 68457.15132897084, -44443.70327580549 68456.83191153471, -44443.76972569847 68456.65868709343, -44443.789048211715 68456.60842032396, -44443.85126327806 68456.44614948981, -44443.914816200355 68456.28060476316, -44444.020262058475 68456.00437348579, -44445.21452601183 68452.88224849975, -44445.77219268728 68451.42361095108, -44445.83556245053 68451.25764738972, -44446.50908755173 68449.48871690876, -44446.73986126404 68448.8828992537, -44446.876253072325 68448.52423492634, -44446.98202954046 68448.2463574264, -44451.28963482805 68436.84626758748, -44455.926776246604 68424.93855526242, -44458.78322600919 68417.49091304743, -44465.141006032005 68400.83511935704, -44474.15744414345 68377.37295653255, -44483.468750576976 68353.29452223233, -44492.967597009105 68328.8069916107, -44501.086284585515 68307.53166893798, -44504.36028594462 68299.04498501107, -44516.18513232158 68268.31085836714, -44517.241674163364 68265.57001545143, -44528.19511585255 68237.07642381197, -44528.39480018015 68236.59824457667, -44529.74082313963 68233.1021477233, -44531.85394176199 68227.61115095683, -44540.10025509711 68206.18816835587, -44540.80759985994 68204.33791604362, -44548.6569551522 68183.93456691374, -44560.32955903711 68153.60955396129, -44568.545921183424 68132.2717141982, -44571.33947726229 68125.02169589783, -44576.06695341469 68112.75569420103, -44589.64959808562 68077.46524296624, -44590.834368963886 68074.39085542358, -44592.23124207293 68070.76589965538, -44597.34969098706 68057.46788672991, -44612.25456054854 68018.74429862858, -44623.368892701386 67989.86681664066, -44646.82148985597 67928.94324245826, -44651.701293069666 67916.26820457041, -44655.03496253417 67907.60850816099, -44656.42872108645 67903.98036054539, -44656.86348305496 67902.85106251687, -44676.67588906026 67851.38612579233, -44685.46834114075 67828.54397795256, -44714.50446268447 67753.24962012218, -44718.715508159265 67742.33049997072, -44720.06740419161 67738.83145231103, -44721.43742942261 67735.27558729131, -44736.784844283226 67695.21128926316, -44751.03103033002 67658.02958488803, -44758.04073078387 67640.01481637302, -44765.33510928286 67621.06226767162, -44772.626376151566 67602.10642490633, -44780.7771648983 67580.92895076728, -44781.060663364406 67580.19277364833, -44771.69447462902 67576.04589091513, -44757.72739396544 67569.86552578393, -44743.35142938665 67563.51297604357, -44742.62513550077 67563.1972949149, -44736.911174917266 67560.66972804544, -44730.83854581144 67557.98904641063, -44718.86377326377 67552.68842572658, -44715.94944470444 67551.40061977528, -44690.10600550295 67539.9612092071, -44656.64905406791 67525.17772398399, -44654.97872033607 67524.44469605558, -44646.10934774972 67520.52090341547, -44633.50517170263 67514.94913596378, -44632.530317016375 67514.51832392094, -44616.74289259484 67507.54160617094, -44600.32462541332 67500.27747356604, -44586.69708752373 67494.26900111912, -44572.275711108276 67487.87522753824, -44551.278589002395 67478.59018774949, -44526.84736707866 67467.79171925788, -44519.65756410544 67464.61484692025))\",\n          \"POLYGON ((-67700.96962797137 62621.45419221469, -68030.71972629981 62902.293146351665, -68095.30752960165 62902.261804569636, -68174.39662755473 62945.806663669995, -68408.75182698267 63108.55604484001, -68094.12855075901 63327.89198472205, -67836.10384678285 63552.95121929003, -67629.9255773919 63838.991033145896, -67426.55449072758 64134.60743807495, -67247.69130586827 64340.37900590044, -67088.59448968466 64212.88073149144, -66744.83204239559 63906.46525125548, -67175.3483155856 63330.506500670475, -67700.96962797137 62621.45419221469))\",\n          \"POLYGON ((-54215.045204868045 65709.74087105457, -54214.80078440529 65662.49140873477, -54214.663023889276 65649.68898154925, -54214.456723410076 65592.88282224644, -54214.45378240547 65591.66279581064, -54216.50345652073 65585.94942307279, -54219.14716022553 65580.5219357086, -54222.35047147941 65575.45078047935, -54226.07182787829 65570.80176109134, -54230.26283690991 65566.63521903373, -54234.86935953629 65563.00523540363, -54252.87415175971 65551.32515903637, -54252.79523335602 65551.18293124305, -54257.741267827354 65547.97818564708, -54260.54493654991 65529.054324865356, -54214.267175372755 65529.01803761773, -54214.2140765166 65529.02579910695, -54210.437641737226 65519.30470282928, -54206.61641001912 65510.26984752726, -54206.61609161514 65509.78628812563, -54206.56074521168 65461.300386032715, -54206.530748006655 65431.79272853799, -54206.5098512944 65415.55710107419, -54206.52357642659 65399.79458667757, -54206.497653117876 65395.065759029545, -54206.47510885362 65379.14552117318, -54206.486802771484 65363.446058081965, -54206.460778547946 65347.65183662904, -54206.3985640988 65329.58443636498, -54206.39014822566 65327.093930302624, -54206.33733331437 65311.33115269382, -54206.33287482484 65297.14490471095, -54206.2989795861 65282.936335910665, -54206.268929362115 65264.29542421549, -54206.24861253215 65248.532701899174, -54206.229843293986 65239.10667062581, -54206.23070898425 65232.8017021738, -54206.19994524256 65213.7918467437, -54206.19686646789 65208.97166742501, -54206.18496402615 65196.929018728995, -54206.172922756385 65180.05675226605, -54206.17143453535 65179.75089724061, -54206.156180494385 65163.569108246644, -54206.13798982428 65150.95904054095, -54206.10925921257 65139.92514069208, -54206.119995021385 65138.34887437038, -54206.064080277676 65112.34039147213, -54200.73157120779 65093.247185424545, -54200.881345752096 65033.54728010771, -54195.97738290936 65033.536736670794, -54191.07053573195 65033.52942481931, -54191.2665407512 64971.583509328084, -54191.0262762044 64957.39300187355, -54190.96840343001 64894.342705690375, -54193.91531207241 64894.366163613755, -54206.49932850579 64894.37522617165, -54206.47230387836 64860.64021238376, -54206.479374314506 64844.691692094464, -54206.43252964037 64795.071252615446, -54206.441610375936 64779.308798039, -54206.375285694114 64698.633032207144, -54206.45520898323 64687.566285224755, -54278.155792144025 64686.46550222243, -54278.114562556184 64681.59968930113, -54278.12028545406 64680.08184082625, -54278.39777257787 64605.629794991444, -54278.52919973786 64376.207822261254, -54278.54109353067 64323.02747153558, -54278.687557481215 64165.904678021194, -54278.81602330449 64026.712605940214, -54278.84880738455 63866.0088067894, -54278.28185247948 63846.50032890021, -54278.385495438495 63814.97613255899, -54278.63159701352 63783.84666967195, -54278.58371240758 63771.315314356696, -54278.77651275091 63728.75790795604, -54278.81432331765 63724.02935097807, -54278.84458907014 63720.24658859189, -54279.077810419156 63672.40896121305, -54279.48894366169 63638.8748068779, -54279.491998928825 63638.83702522909, -54279.52574591546 63634.34496022086, -54279.58935764453 63608.02204077484, -54279.52860934309 63596.909331039365, -54279.63969553247 63564.43952733066, -54279.586096751416 63555.43151049945, -54279.549803089394 63546.73516000604, -54279.558097607995 63543.01211264922, -54279.596184102214 63521.62261400842, -54279.61409358656 63504.93287580667, -54279.61582063814 63502.900014853614, -54279.6464764568 63480.7216678688, -54279.63411841692 63477.292286111624, -54279.59227134474 63459.380139576206, -54279.659260180335 63432.348215713966, -54279.71885208596 63411.453920381195, -54279.722921923036 63410.07041204264, -54279.77124042387 63399.72375853901, -54279.76083276354 63363.782480416005, -54279.81397310103 63324.936853467996, -54279.8217302608 63319.257438358625, -54279.8293535293 63311.69191467536, -54279.84182925044 63299.31406394726, -54279.85086710507 63290.32740445601, -54279.854301857406 63286.234885095975, -54279.85917162965 63280.16080999516, -54279.86012817297 63279.38491659933, -54279.88370677185 63255.80826299987, -54279.849099385065 63251.429272450725, -54279.811163501574 63246.508082136344, -54279.888620936734 63236.65694487256, -54279.89942097263 63212.099489206485, -54279.911325361565 63184.86855379525, -54279.913135008515 63177.236450935714, -54279.92740839282 63158.318574238, -54279.92527949952 63157.84572256173, -54279.990409637576 63112.45071181622, -54279.99208942243 63075.24850940068, -54280.00411864576 63074.30128375145, -54279.97775003392 63066.11481885002, -54279.967426215284 63057.96034481616, -54279.96764375065 63057.93965954575, -54280.002414256924 63055.624537532356, -54279.96427193555 63023.548110854346, -54279.96289743014 63023.22973937415, -54280.07155990328 62972.5577834591, -54279.999770408074 62963.09684696422, -54280.14286374539 62929.53972133114, -54280.1686825615 62923.06532015252, -54280.169741302045 62904.70159765773, -54262.588368573146 62891.556691886784, -54229.77821924892 62867.0057809594, -54228.897145177856 62866.36798180372, -54213.076117116645 62854.493435543125, -54208.97705752539 62851.38778575821, -54196.96359640684 62842.53873361117, -54195.48249780039 62843.47119439886, -54170.7534958027 62858.5583132963, -54169.82058221138 62857.18735693157, -54168.704043604026 62855.98365390244, -54167.429895675894 62854.97491472249, -54166.02725966327 62854.184485912934, -54164.5287693168 62853.630533379874, -54162.968927664944 62853.32599768966, -54161.383738147015 62853.27785981974, -54159.575545839645 62853.53929283802, -54157.83670306405 62854.13181156083, -54156.219882974416 62855.0374007889, -54154.77382822736 62856.228730738236, -54153.881608736236 62857.25482035285, -54152.84105024962 62858.1060640905, -54151.681668048026 62858.75822942455, -54145.192679381726 62829.658613088395, -54143.628882118675 62822.78844275035, -54129.13868092882 62828.65899488161, -54128.40045363023 62828.96756890895, -54115.53687900586 62834.29747854548, -54104.59922679054 62838.70321402196, -54101.34517003988 62840.018175549514, -54083.899056928174 62847.12313542736, -54080.20463118238 62848.666016326, -54063.76001763285 62859.486246914945, -54061.16053491838 62861.32752058948, -54060.35315581357 62861.90381663931, -54056.00113689479 62864.761505850554, -54053.24275709785 62866.570414754155, -54042.72270908292 62873.578981708975, -54037.601673074845 62876.99083589783, -54029.117757517306 62882.647959527, -54028.94740479134 62882.76312171014, -54022.13221199883 62887.27977885293, -54007.51664432786 62890.46706291942, -53993.19877716054 62893.6589342768, -53984.194991193726 62895.55181729779, -53980.15022929564 62896.45634340096, -53978.73110364708 62896.77119863899, -53964.26575182622 62899.962252489815, -53953.1935262638 62902.3908687473, -53950.73905263208 62902.883606485135, -53949.798072891994 62903.074716064715, -53935.48059470779 62906.18764615882, -53921.16313434849 62909.30378018361, -53919.88536325293 62909.62879507981, -53919.0916624759 62909.833019980135, -53909.70993793128 62911.85350310902, -53906.400899800865 62912.571152259625, -53892.08238299525 62915.679076960325, -53877.61422445907 62918.87013519014, -53861.29581185264 62914.086161817504, -53846.29947885155 62909.54821309745, -53855.97503148522 62897.41298741911, -53835.77727024505 62880.14275068217, -53798.60101309423 62848.38849651784, -53770.20638023174 62824.03684084163, -53764.351464430794 62819.025048107884, -53757.762810909735 62813.39808375325, -53748.11562377598 62805.15943580722, -53735.385652939185 62794.28040533467, -53735.36938071547 62794.273444311904, -53731.27829131447 62790.76439374673, -53726.77033588753 62786.90009852359, -53712.536243648385 62774.695679581484, -53699.80150582687 62763.87299728015, -53699.364364419256 62763.47685250655, -53686.83241782046 62752.77794183167, -53673.895361534975 62741.74924337691, -53668.77391434162 62737.37153687618, -53665.90086915226 62734.86742748539, -53661.74844905003 62731.244450608145, -53649.89130376343 62721.13840626004, -53648.08357959987 62719.62721935298, -53647.22924630622 62718.912754075, -53646.08741664696 62717.95530065822, -53638.03725970878 62711.032133250126, -53635.401582544655 62708.803578198174, -53629.94408885268 62704.13934678079, -53626.467235548946 62701.17257888276, -53623.19242812114 62698.38356969462, -53613.58651145811 62690.185747597076, -53593.42075838754 62672.97556637548, -53592.22623858792 62671.95801661059, -53579.857593224566 62661.40381495849, -53586.29732987125 62646.87722700651, -53646.795497233485 62510.42793600138, -53655.121050583664 62491.64976640848, -53658.467957545174 62484.10102558834, -53677.629188584295 62463.24301292027, -53708.75836680868 62429.35743650717, -53761.17915180489 62372.29503070268, -53768.54981041411 62364.27188615598, -53798.609161922905 62346.48157585984, -53805.893445349706 62342.170458709574, -54147.67481024329 62139.89169338467, -54127.85616801297 62133.760433465744, -53895.67366267667 62055.77010265515, -53895.810791042124 62038.526965292745, -53896.33382944139 61972.83845054707, -53896.33541628471 61972.61223502639, -53896.985419435376 61890.528115391695, -53896.994947071886 61889.32817915582, -53765.749493098905 61845.464613942546, -53765.45828940429 61845.368743192346, -53516.13416973622 61762.06648612888, -53231.039832854745 61666.803833896534, -52959.01267601897 61578.263491259524, -53110.04535520572 61531.98095680958, -53127.55284845423 61526.83090332658, -53181.06150475198 61541.8288137172, -53203.52046026957 61548.12652104711, -53327.94304887159 61585.08862899661, -53369.918762833026 61564.901823426764, -53381.930716383795 61559.51452078475, -53421.85877155127 61542.50416438134, -53457.58130679236 61373.0862894927, -53457.62656712663 61372.88164457793, -53485.891454246244 61238.82693224281, -53493.52412548474 61202.62921849464, -53506.1253731538 61199.74151613273, -53518.72961965659 61196.853789156725, -53518.96294877579 61196.80127987058, -53546.516641210044 61190.48842600206, -53570.41767799173 61185.10077543319, -53577.672661254626 61183.464366182125, -53588.93426705698 61180.90441578941, -53600.40862384801 61178.29491034132, -53611.94167778722 61175.63868757656, -53623.4778323188 61172.98223651113, -53634.66294136516 61170.40601917122, -53646.47683120271 61167.6848140348, -53657.68791420047 61165.21285952669, -53669.498613145064 61162.47583717428, -53680.75161266872 61159.86845753128, -53692.491326445444 61157.14677359693, -53704.30512065428 61154.40972469019, -53714.93559874022 61151.94449457532, -53721.17252629036 61150.577561882645, -53723.82571328337 61149.98027241889, -53733.86590013651 61147.55782416284, -53745.88750963555 61149.87830717814, -53757.6268771048 61152.14371563585, -53769.651371179985 61154.460961440454, -53770.9461726309 61154.71080295571, -53780.15419032258 61156.48731811796, -53791.781353819024 61158.733213097556, -53803.41448722878 61160.97626802575, -53813.53136872058 61162.928168811806, -53823.659971654284 61164.8832838373, -53834.409871962074 61166.95495014611, -53846.06064897744 61169.20427025042, -53857.69380855537 61171.45021122353, -53869.200407157274 61173.670459057255, -53892.187010781774 61178.110740410746, -53910.08427641381 61133.49116399548, -53927.38197705411 61090.37574502657, -53940.64310058612 61057.31309570205, -53940.77435964728 61056.985817440844, -53978.18020521723 60963.7383098408, -54046.29858390296 60903.61676944218, -54106.046865988275 60821.20270197793, -54201.70288331514 60689.273828476325, -54213.295404563105 60673.27031428804, -54227.48108273497 60653.70444047735, -54264.87554830334 60602.0780498658, -54302.66624623855 60646.276906614105, -54335.39307884068 60684.55689298865, -54374.81306725545 60730.664346482874, -54409.7026577616 60771.470095396304, -54454.681604352634 60824.08201353, -54553.21031593176 60939.437281378996, -54576.26669242666 60966.43320031783, -54604.87911690301 60999.93364125066, -54610.85079160757 61006.92652761328, -54616.826231352316 61013.92365398855, -54643.71839710116 61045.40773449024, -54657.74924336537 61061.82879358491, -54669.69337750191 61075.82212584342, -54681.962992649635 61090.185689665195, -54693.91310565517 61104.17586797039, -54705.79581285627 61118.086822710764, -54717.74594783099 61132.08009925051, -54729.69606300016 61146.070268530064, -54741.57879288417 61159.984318570554, -54753.6962800485 61174.11084180589, -54775.7183340881 61199.85668468324, -54785.526304665254 61211.33681323834, -54799.34234715251 61227.426405234655, -54813.6467233773 61244.179096585685, -54824.75279221286 61257.18174049448, -54843.9176882998 61279.607138492815, -54848.77035214759 61285.2885357448, -54858.9682119929 61297.218228079815, -54860.13018442241 61298.5647898657, -54887.31021779208 61330.419803045676, -54903.10417330854 61348.90142376558, -54908.866580413654 61355.644625739515, -54915.173368688054 61363.025452916314, -54916.9291601272 61365.08009378855, -54918.685228868075 61367.13525942957, -54925.49928131469 61375.10935250712, -54948.093625979396 61374.980333361345, -55178.35388233874 61373.64904391361, -55209.231558255735 61373.46830568189, -55237.86103105141 61373.30157711366, -55245.75541162431 61373.254888436015, -55248.196190022245 61373.240929453765, -55460.00668361785 61372.06257653023, -55609.65790958584 61371.1743946863, -55810.91298137669 61369.98952386024, -56007.611638066344 61368.85740948519, -56127.025504087156 61368.15681207057, -56261.64211716352 61367.39642759284, -56356.93948596455 61366.8293218152, -56418.23862712938 61366.46921577894, -56444.14086216676 61366.32236260806, -56463.06138765132 61366.21500384024, -56464.099962700835 61366.208898750614, -56550.391459096696 61365.721516168494, -56735.14804152836 61364.64198784354, -56769.03106656411 61364.45063782194, -56796.88960574154 61364.332392210956, -56961.33529075515 61363.35054358936, -57055.952048824096 61362.851984379144, -57214.12753136072 61361.956034368464, -57226.449832786275 61361.896886824245, -57305.97683812418 61361.27951175625, -57404.276805455556 61360.75393501265, -57509.969759273336 61360.14096017409, -57601.68409018929 61359.37523946293, -57615.58676572891 61359.26449331861, -57658.4400554473 61358.953628101575, -57690.443272775265 61358.71384502504, -57731.4314216278 61357.99770039319, -57744.211105163784 61357.88423944328, -57744.67770586627 61357.880053768575, -57772.6767391773 61357.58584613629, -57800.11471459471 61356.89597201992, -57801.85855709293 61356.85210259065, -57802.20536852549 61357.06657559136, -57805.0677851724 61358.8374076144, -57827.44567076952 61372.68128096603, -57842.23398119861 61381.49374617258, -57857.02220314678 61390.30589445923, -57865.889677193 61395.59019843113, -57871.81041551896 61399.11845217115, -57875.998159753944 61401.61378844339, -57879.67188415712 61403.80289555457, -57884.89452369424 61406.91511673729, -57890.11735916081 61410.02723927954, -57893.54798939058 61412.07162697421, -57894.0536174342 61412.372972151104, -57901.38685466074 61416.74303829284, -57911.7146915825 61422.89734905941, -57916.174979695046 61425.55527084665, -57922.9899136973 61429.61629926722, -57930.96329354221 61434.367711301726, -57937.73189832353 61438.401097849186, -57941.47273278053 61440.63030265372, -57960.53983390478 61451.99226705094, -57988.42787190742 61469.29357029286, -58002.97735073178 61478.319967692514, -58003.92507052363 61478.90644607011, -58012.15452799884 61483.82143513846, -58037.33183505464 61498.85828426686, -58040.92216590307 61500.91413914214, -58045.79777669427 61503.7656221378, -58050.876771817966 61506.783710964024, -58051.09136085796 61506.911515153624, -58054.470648911774 61508.91973640234, -58065.82555003683 61505.07897142666, -58084.01012617327 61498.87218550371, -58103.61430891891 61492.11373760434, -58111.78064093812 61485.410100515044, -58112.712774574706 61484.64501487722, -58117.62802860457 61480.61027832323, -58123.47551788737 61475.81025130476, -58129.3228061295 61471.01052854935, -58141.01758573539 61461.41067276209, -58152.885504751255 61451.668712886465, -58161.88791548696 61444.27910288711, -58164.40733435348 61442.21106191134, -58170.25462687299 61437.41112776788, -58176.78470395922 61432.05090129121, -58183.19741532025 61426.786907540605, -58184.54117651089 61425.6839399582, -58193.171582068804 61436.79078827225, -58194.60043501338 61438.62963473803, -58204.1896566662 61450.97058339159, -58209.827446940035 61458.217609690306, -58221.082407330156 61472.684822233605, -58221.83797470882 61473.65610778648, -58225.62785442541 61478.49082630873, -58227.51396780374 61480.92692993969, -58231.82726720574 61486.49292020878, -58257.01306505279 61518.994349820925, -58257.28345652878 61519.343203031625, -58260.751266543484 61524.78421828445, -58263.27278160368 61528.7410047966, -58265.421568114645 61532.112554216474, -58267.36535737583 61535.16247678795, -58267.847887252654 61535.735074114236, -58283.03836033026 61553.7652225882, -58283.15193797772 61553.96528810898, -58286.018657824614 61559.01018752464, -58289.01304639125 61564.28005408033, -58294.99218211196 61574.80276475473, -58295.675905739525 61575.53270004412, -58297.75866094647 61577.755848937646, -58303.91304113605 61584.32539281756, -58309.58690503227 61590.38219142371, -58310.37318113924 61591.22147176318, -58314.12462561888 61595.22593730343, -58316.286082389546 61597.53316027618, -58316.995730365335 61598.29059452541, -58323.20854824668 61604.92255537949, -58324.533582195734 61606.33709738772, -58324.713424192436 61606.52892728217, -58324.72838449665 61608.434273173414, -58324.72924154195 61608.54520153141, -58324.72945927843 61608.56786435726, -58330.92189768839 61614.06725262611, -58335.05066498375 61617.55909674907, -58335.3643386075 61617.81932501513, -58335.83017343191 61618.18538340051, -58335.88815666783 61618.2308236437, -58338.316393790934 61620.13922559697, -58339.69179016165 61621.21993683587, -58340.24018129034 61621.65093184865, -58340.463182996056 61621.82613940834, -58342.60190077241 61623.50693691211, -58342.8524187072 61623.703893402424, -58343.59942673115 61624.29081152114, -58344.09847334683 61624.68301516063, -58345.379734103495 61625.68978478542, -58346.017035946104 61626.19085486824, -58346.294126355235 61626.40860354448, -58346.41132148865 61626.5006553997, -58346.8130964029 61626.785105647126, -58348.41992891274 61627.92196822805, -58348.65523118683 61628.0886125971, -58356.39625880139 61633.56653437284, -58356.95528770625 61633.962125724465, -58357.33871940965 61634.23335258139, -58357.382563969215 61634.263718026574, -58357.424299788414 61634.293301996964, -58357.519645812165 61634.3612758576, -58357.72632802224 61634.50779656686, -58357.79630488128 61634.55718348588, -58357.84126876529 61634.58923463248, -58358.01779904805 61634.707106712565, -58358.03121491864 61634.716161397635, -58358.58834202661 61635.08676812613, -58359.33286890768 61635.5816460537, -58359.48343484483 61635.68153577265, -58359.711595966524 61635.831743505965, -58360.07920414642 61636.073779766215, -58361.57262427895 61637.04720460387, -58369.634700109935 61642.070877227736, -58372.78844711869 61643.93256279621, -58381.75514546483 61648.92214249338, -58386.003702268565 61651.13489600702, -58390.22931073724 61653.24222480026, -58392.0979134855 61654.1450389196, -58392.14638702072 61654.16808120612, -58392.34744688179 61654.26385898784, -58392.5317740182 61654.35173349013, -58392.59411094057 61654.38135965287, -58392.64669516164 61654.40637578714, -58392.786951964816 61654.47308635281, -58393.02052083494 61654.58423090412, -58393.116328284246 61654.629456856, -58393.174656248586 61654.65690502554, -58393.38444107663 61654.7558165368, -58393.428137456314 61654.776453036466, -58393.69252366137 61654.90095274439, -58393.81835995408 61654.960133187655, -58394.17578600669 61655.128335303074, -58396.30565359891 61656.113354074005, -58396.34745738025 61656.13228386671, -58396.7140074553 61656.29918192379, -58396.97858164331 61656.419962297776, -58397.2937048716 61656.56197909817, -58397.32412542353 61656.57573730278, -58397.64985606788 61656.72300808617, -58397.6659324736 61656.73006590124, -58397.75930795313 61656.77191520032, -58397.81536429894 61656.79733599567, -58398.20521485206 61656.972522595126, -58398.2654937633 61656.99929954203, -58398.60752710873 61657.15228934767, -58398.75429306344 61657.21783174235, -58398.77199491442 61657.22565788535, -58398.80002435571 61657.23831658351, -58398.96851380477 61657.3133461986, -58398.9885126519 61657.32216582474, -58399.22723463757 61657.42827749078, -58399.43401235472 61657.51965846751, -58399.89685264687 61657.72393288776, -58400.09254725978 61657.80973658572, -58400.2466111226 61657.877442845274, -58400.398772234745 61657.94385594864, -58400.6650860306 61658.0607522173, -58401.29826471193 61658.335657811906, -58401.46890856773 61658.40960790215, -58401.64807899409 61658.48689325018, -58401.755465262155 61658.533261297394, -58401.78331913899 61658.54519104168, -58401.90094901314 61658.59587209268, -58401.92372814873 61658.605698341766, -58402.01063988056 61658.642923467065, -58402.288779346 61658.76272730311, -58402.5198418942 61658.86169936957, -58402.55066430743 61658.8748477494, -58402.67156030065 61658.92644514712, -58402.69692640421 61658.93727275926, -58402.99597016509 61659.06447242362, -58403.04019296157 61659.08336445961, -58403.06986814553 61659.09596439552, -58403.301622529914 61659.19433451428, -58403.37820413872 61659.22683047493, -58403.49576272232 61659.27647502193, -58403.5816391074 61659.31253401704, -58403.80470404131 61659.40632297719, -58404.02038709166 61659.49742850551, -58404.11152646609 61659.53580301549, -58404.15230757945 61659.55304973389, -58404.2424014568 61659.590671654514, -58404.46078589451 61659.682057466256, -58405.179255142626 61659.981418999334, -58405.90171278959 61660.279854283406, -58405.971617036834 61660.30854793031, -58406.70755116838 61660.60962523564, -58406.721152483435 61660.61506398153, -58406.86690312178 61660.67468177248, -58406.88777951143 61660.68321486678, -58409.96458672022 61661.91203612202, -58414.60688528684 61663.68410125307, -58415.31219609323 61663.944205754706, -58417.103202890576 61664.595685623084, -58418.000279211 61664.916450615674, -58418.03920831834 61664.9303364326, -58418.085717696085 61664.946704148875, -58418.89830917943 61665.23382745, -58418.97646243804 61665.261400177056, -58419.06938961286 61665.29392620712, -58419.19703346976 61665.33856834755, -58419.79747595839 61665.548234906964, -58420.711599557006 61665.8640831183, -58421.626768389775 61666.176752546955, -58424.37810609465 61667.093917505474, -58424.47943247523 61667.12708546203, -58425.297392162945 61667.39252519017, -58425.34805789139 61667.40900577863, -58425.4326058846 61667.43613143275, -58426.217430951554 61667.68804961837, -58427.13832418893 61667.9802866319, -58429.906822426885 61668.836671280675, -58430.83173370997 61669.11494731082, -58430.903840300394 61669.13666570893, -58431.757517196194 61669.3892122224, -58431.849416367266 61669.41633058434, -58431.992693394124 61669.458500488356, -58432.048008914506 61669.47469353238, -58432.14731025976 61669.50366822181, -58432.87361324608 61669.71633891715, -58432.90607352603 61669.7258073385, -58432.93459868446 61669.73403086173, -58432.98185316801 61669.74762548317, -58433.70661188071 61669.95621944311, -58434.13478680394 61670.07927010606, -58434.23631131599 61670.108305168, -58434.442158377504 61670.166658198184, -58434.839358423 61670.27883239044, -58435.23866975442 61670.39168464572, -58436.55541984895 61670.75622857467, -58437.13726227771 61670.915834270425, -58437.166278337965 61670.923760771795, -58437.39312608991 61670.98558089811, -58437.48959868669 61671.011581985564, -58437.63806460983 61671.0512029317, -58437.91190223638 61671.125575924074, -58438.11051734972 61671.179077013716, -58438.3514139356 61671.24386508133, -58439.47185246314 61671.53986579507, -58439.91460211351 61671.65627721, -58440.062612644186 61671.69474775743, -58440.218890208635 61671.735305036134, -58440.25474117281 61671.74455516815, -58440.32586061146 61671.76314305723, -58440.35719649741 61671.771132552545, -58440.77644220111 61671.87966370463, -58440.936764232436 61671.920951548884, -58441.1159325483 61671.96678601978, -58441.87501692108 61672.16006945008, -58442.02920857224 61672.19891477328, -58442.30952210463 61672.26953228383, -58442.50851344134 61672.31952605355, -58442.7618382211 61672.38237558571, -58443.56431271669 61672.58118252191, -58443.735188363295 61672.62203279047, -58443.91020006551 61672.66382302989, -58444.992282784704 61672.92257230051, -58446.14753508004 61673.19913746849, -58446.23556508146 61673.222322858055, -58446.25373221218 61673.22695448263, -58446.27201121872 61673.23096840535, -58446.37355829439 61673.25514161739, -58446.3994277255 61673.26122389436, -58446.42923989141 61673.26824089932, -58446.451744007645 61673.27350759016, -58446.57292586033 61673.30162808984, -58446.62812923344 61673.314507462266, -58447.078038484804 61673.419008878, -58447.62232654394 61673.54417822947, -58449.55021849082 61673.97797820088, -58449.584367641924 61673.985630262185, -58449.96525071706 61674.06901421208, -58450.19046968969 61674.118375310376, -58450.21981124361 61674.12486224277, -58450.5512499115 61674.19717850813, -58450.956122502655 61674.284421091026, -58450.982101279646 61674.289989051, -58451.04108197308 61674.302660643945, -58451.31616496626 61674.36175587259, -58451.34627725801 61674.3683671897, -58451.38505590721 61674.37655880808, -58451.400450359084 61674.37987365798, -58451.518027649865 61674.40510294208, -58451.53842808869 61674.40938139548, -58452.14724647767 61674.53785502327, -58452.35663590017 61674.58192377854, -58452.52041430427 61674.616373891426, -58452.569973128564 61674.626720475084, -58452.76272167189 61674.66702670703, -58452.78879964122 61674.67249390926, -58455.29169810233 61675.17394790395, -58456.53554929996 61675.42291667966, -58456.55451507199 61675.42653542297, -58456.7689076804 61675.46773980449, -58456.80327805104 61675.47425985685, -58456.921305397016 61675.496914944415, -58457.27009907565 61675.56359857479, -58457.398346935275 61675.587565787544, -58457.616321008354 61675.62866051313, -58457.65310025386 61675.635556349625, -58457.835365944986 61675.66947395119, -58457.965351130806 61675.6935918056, -58458.05007896556 61675.70944555468, -58458.10399760388 61675.71949671398, -58458.83007154097 61675.85477560321, -58459.04760544122 61675.89409961388, -58459.44232014087 61675.96565129441, -58459.55046261219 61675.98514115688, -58459.58686029052 61675.99181971522, -58459.60399714693 61675.99507842997, -58459.672272351214 61676.007381681084, -58459.691334783936 61676.01100305575, -58459.71849122588 61676.01587879888, -58460.04802381727 61676.07521121788, -58460.34637579291 61676.12811022244, -58460.70925102025 61676.192486387794, -58460.8843459047 61676.22300209932, -58461.561605861745 61676.3412299437, -58461.7220770279 61676.36855519573, -58462.31059258414 61676.469061449556, -58462.41442597512 61676.486778978346, -58462.46287562189 61676.49502631408, -58462.52953805844 61676.50604428891, -58463.162112741426 61676.6124025958, -58463.18937345334 61676.61697079589, -58464.01814517504 61676.7531764029, -58464.04511844657 61676.757633346715, -58464.58097928221 61676.84388104439, -58464.61469840703 61676.84934883435, -58464.64042271391 61676.85346149811, -58464.89660002261 61676.8946625883, -58465.4259539826 61676.978043701485, -58465.457365968505 61676.98293156047, -58465.545621732505 61676.99691544573, -58465.74853926114 61677.02880746745, -58466.183784367255 61677.09628698278, -58466.20257203842 61677.09928015423, -58466.22666328879 61677.10293464321, -58466.54214905393 61677.15133301889, -58466.79586902985 61677.190191324684, -58466.969709616315 61677.216638163736, -58467.45482354643 61677.28971368183, -58467.711372006845 61677.327614243055, -58468.20336142919 61677.400359180276, -58468.341572534904 61677.42035524332, -58468.95725615869 61677.50949485336, -58469.21759969357 61677.54646391136, -58469.668409208556 61677.610331290096, -58469.86398290606 61677.63798906748, -58469.88461217945 61677.64082533896, -58470.13244328357 61677.67528200758, -58470.16193984274 61677.67939364456, -58470.24570589245 61677.69108301622, -58470.292746235544 61677.69763676355, -58470.45151786264 61677.71932920215, -58470.688670521704 61677.75142674872, -58470.849568647965 61677.773176931296, -58471.617135189954 61677.87699376084, -58471.98921227978 61677.925066756055, -58472.024694102125 61677.929651315026, -58472.491358001964 61677.98991444416, -58472.51874073896 61677.99345139305, -58472.56337982395 61677.99931919602, -58473.06315980074 61678.062033497954, -58473.119489576566 61678.06842569724, -58473.15216827836 61678.072934129545, -58473.17847508151 61678.07695914277, -58473.28852256816 61678.093707391796, -58473.4187817216 61678.10665937438, -58474.47599491653 61678.21213477319, -58475.21238685803 61678.28561992473, -58476.692984918795 61678.43342313731, -58478.1385518922 61678.54644478514, -58479.73788998555 61678.64843430858, -58481.82223243098 61678.74517983205, -58481.92157784852 61678.74870540435, -58482.35859995297 61678.76347038486, -58483.496113915244 61678.79322381152, -58485.62027492362 61678.81635516338, -58485.898263859504 61678.816145263794, -58486.519605946974 61678.81263812798, -58486.618185435254 61678.811901189394, -58486.81853162659 61678.810617319425, -58486.937908071515 61678.80982442414, -58486.93344980108 61678.069060324466, -58490.34951309721 61678.586414220386, -58491.24484728308 61678.72194409264, -58493.25830947092 61679.026883874605, -58499.828133745155 61680.021671793605, -58500.43658595537 61680.113821823375, -58500.47050600689 61680.11898467758, -58500.76596529306 61680.16363186404, -58513.734271271314 61682.12744702686, -58516.665520808994 61682.57131851447, -58546.118323464885 61686.952485472044, -58549.1928200788 61687.408211359034, -58552.99490169759 61687.287166665374, -58553.94450383692 61687.25688050787, -58554.65607588916 61687.234200513056, -58566.88134182055 61686.84488792061, -58588.855904983524 61689.87986892458, -58602.060943157936 61691.70370131042, -58602.79940865065 61691.708442687224, -58610.50600966924 61691.75777017412, -58611.462070098125 61691.7638680877, -58613.379313900856 61691.77620296749, -58637.71252215181 61691.9317800783, -58637.71764640317 61691.352357557116, -58637.72246105675 61690.821033751316, -58639.38651064925 61691.71921606764, -58641.16058210055 61692.3316396015, -58643.00189259984 61692.64379678368, -58644.866527875405 61692.64787393261, -58646.70960251109 61692.34410061507, -58648.48703027626 61691.739556239394, -58650.1559921777 61690.848803425106, -58651.147002225975 61690.1400361695, -58651.13034171335 61692.017520850284, -58681.25464212528 61692.21032036864, -58681.638188054996 61692.212768813784, -58686.79091275232 61692.24570882373, -58687.062424492724 61771.57129310529, -58687.13895888339 61796.35909414175, -58687.21873965915 61804.71338158181, -58687.2800595724 61814.80171391167, -58687.297485745155 61831.98532719939, -58687.314084880214 61848.4536214159, -58687.47654654996 61865.24110666138, -58687.48799141377 61877.36223859742, -58687.47613338732 61881.55520193112, -58687.50643672568 61898.26916111014, -58687.66597811449 61915.05346160918, -58687.6771531952 61927.20924275894, -58687.66334350427 61931.84049638559, -58687.69438101543 61948.39049572781, -58687.85664948284 61965.17797219264, -58687.8813825068 61980.62485323999, -58687.9011061401 61996.46907625475, -58688.05129671597 62014.51756028367, -58688.074484351484 62030.279732051546, -58688.098924908954 62045.72670649224, -58688.26602309891 62061.568307839814, -58688.28910903751 62077.33068220803, -58688.28642264897 62095.933261271166, -58688.45149244786 62112.168973660664, -58688.474215167545 62128.013170259874, -58688.53939405449 62138.17681310715, -58688.56325023086 62153.781642188806, -58688.64419522303 62180.5776259525, -58688.65336446128 62193.23303879157, -58671.40276610886 62193.308496448284, -58671.34742531001 62205.89273826986, -58671.38713096898 62219.44811653787, -58671.2563552631 62235.919016828855, -58671.27656153499 62251.6844109356, -58671.18175523629 62263.811441722646, -58671.153011678674 62267.285233757764, -58671.175616706845 62283.12631835808, -58671.08229116153 62294.36118334593, -58671.04802855951 62298.966634755096, -58671.068018451595 62314.72902068117, -58670.98876699181 62324.917188206506, -58670.94458583027 62330.33294829785, -58670.954358018374 62336.15551420778, -58670.9671908943 62346.17403079082, -58670.89208259348 62355.49555525544, -58670.837760327326 62361.77800142269, -58670.862126671185 62377.858734925816, -58670.73530873247 62393.54150551369, -58670.7583001918 62409.303762887066, -58670.70182005744 62416.62029641663, -58670.630691515886 62425.14097084701, -58670.64369242123 62434.525821841686, -58670.649542960695 62441.14292586703, -58670.52601371204 62456.74684670281, -58670.55064730558 62472.19381257106, -58670.421490669556 62488.3464138433, -58670.43737040772 62499.553512840976, -58670.44198424995 62504.033077345455, -58670.318068657776 62519.71581913002, -58670.34105765393 62535.47817569904, -58670.2108544144 62551.239786114056, -58670.237615125996 62566.8444736321, -58670.10877131323 62582.92124692732, -58670.12432344314 62599.62929776234, -58670.12275998232 62599.9413821021, -58670.11900630893 62600.10225771937, -58670.0703826679 62608.0407722525, -58670.06654865584 62608.441456718865, -58670.04418873951 62610.70498429447, -59072.017672509915 62610.418232026015, -59653.82880903276 62610.399398376976, -59747.11590205038 62610.43557835219, -59780.57248256205 62610.43907074079, -59780.9620423967 62620.37624300137, -59762.181777966114 62677.9574083407, -59755.85862752683 62676.33010830384, -59736.56522789086 62693.11757880777, -59736.25407625902 62713.843471260225, -59736.037436553015 62722.58727792364, -59734.57951384787 62738.030627699765, -59733.622031290106 62748.18336891558, -59733.49526929177 62748.78483632566, -59731.32733721164 62759.04201869801, -59730.10211012669 62764.62581084377, -59727.806318294235 62774.85107297882, -59726.63076313368 62778.39833729619, -59722.37434435329 62791.199524662195, -59721.423186388405 62793.44581513985, -59716.086059990244 62806.06218295442, -59715.075724177936 62808.244690467785, -59704.62143714222 62827.33024631499, -59704.19507713998 62828.11487409686, -59696.659469096754 62840.18503061123, -59696.37544729627 62840.640082138634, -59684.780794079954 62859.20482547276, -59671.26245740316 62880.86211599589, -59667.832353988204 62886.195819870816, -59656.077208853465 62886.01857285931, -59655.82837632506 63031.37183183083, -59650.30633131918 63050.843433433634, -59640.44926957687 63085.60218859925, -59650.02822876168 63085.68086614192, -59748.541821122 63086.48870092787, -59746.9722768967 63299.34617692509, -59746.94340601254 63303.24733402021, -59746.85486343667 63315.250257406624, -59746.76062101736 63327.91131531236, -59746.74449822487 63330.10217586327, -59746.485674285286 63365.38021227912, -59745.955413211916 63436.8880388383, -59745.945639721685 63438.287841138655, -59745.83160336353 63452.552130602315, -59744.11462195138 63704.895849398155, -59743.63210636412 63773.30228282012, -59743.53323474457 63787.48462293756, -59743.43536186455 63801.43700764945, -59743.14341958163 63842.969560745594, -59743.06667159928 63853.8451231873, -59743.01897857945 63860.54393184407, -59741.65386617198 64031.47726373034, -59741.40666556632 64062.68582415041, -59741.156859768904 64093.81527169401, -59740.49258523141 64177.09767473389, -59740.49218466385 64177.18891174791, -59740.24284134243 64194.68570370551, -59740.23357293594 64208.57478630174, -59740.239017518594 64208.95213330509, -59739.27956922111 64328.97839201926, -59739.062832248244 64356.11047042288, -59738.905850590425 64375.78791626002, -59738.844806606954 64383.43700885578, -59738.81450265325 64387.21521291441, -59738.720155723044 64398.642531364596, -59738.62649071368 64410.54276358711, -59738.50520498569 64425.67419887488, -59738.40752214224 64437.880136128406, -59738.20687231507 64462.929256216215, -59738.20327588675 64463.367603406245, -59738.19436764435 64464.48375093485, -59738.19155870078 64464.83480298141, -59738.17117455223 64467.376774377946, -59738.16682809119 64467.92848854531, -59738.16607666822 64468.022198914565, -59738.16542472355 64468.11973984712, -59738.164559719735 64468.225965260564, -59738.163770256644 64468.32122643666, -59738.16290497401 64468.42352052906, -59738.16219242989 64468.52747406454, -59738.16110136599 64468.67445484774, -59738.159890535644 64468.81843216349, -59738.157492810176 64469.12118160132, -59738.15617429892 64469.28926115612, -59738.15351527705 64469.638144702476, -59738.15318720924 64469.67517289662, -59738.15273397607 64469.74095835335, -59738.1520059376 64469.84160088541, -59738.15122435779 64469.940483216655, -59738.150880514426 64469.97026909625, -59738.149965614124 64470.09035620397, -59738.14907805784 64470.201443422, -59738.14861920351 64470.25957301201, -59738.14817021337 64470.31335773163, -59738.14754026585 64470.39817422459, -59738.14710930644 64470.45516655568, -59738.146430890236 64470.53801607243, -59738.14608165035 64470.599562672156, -59738.145082496456 64470.7151989046, -59738.14436432669 64470.811496570524, -59738.143933092986 64470.86455758057, -59738.143453667115 64470.91958294538, -59738.14279328163 64471.005640077856, -59738.141986615345 64471.10948759146, -59738.141210386995 64471.21209447262, -59738.139886524456 64471.37644947183, -59738.13908322179 64471.4919875708, -59738.1380510959 64471.60896783329, -59738.13731065022 64471.714058612095, -59738.136420283394 64471.8213178996, -59738.1354738367 64471.92692036831, -59738.13476383352 64472.030770513265, -59738.133650212694 64472.18261310105, -59738.13148108615 64472.444503785686, -59738.13126743116 64472.48081089029, -59738.12987028991 64472.652095437945, -59738.12955688463 64472.68064066952, -59738.129492321 64472.7029853306, -59738.12931588098 64472.72594767938, -59738.12922821176 64472.74529149728, -59738.12909207846 64472.762668333315, -59738.12894044841 64472.77673418009, -59738.12878936919 64472.798662666144, -59738.12875243073 64472.81593874726, -59738.1285325946 64472.8367273572, -59738.12822144901 64472.86123789279, -59738.12815941949 64472.88347915627, -59738.12798524148 64472.9024068048, -59738.12788208017 64472.91843961646, -59738.12767238702 64472.93881467706, -59738.12740209899 64472.965602337754, -59738.12729414383 64472.98577325008, -59738.12720647465 64473.00511706374, -59738.12695647711 64473.031077628584, -59738.12681808167 64473.05248918752, -59738.12671238403 64473.06862538969, -59738.12643167193 64473.09189528009, -59738.1262380331 64473.12344397771, -59738.125331016076 64473.247152249074, -59738.12233267088 64473.617752254715, -59738.117573558804 64474.23359767437, -59738.112974288575 64474.80744446472, -59738.112780924 64474.8429244848, -59738.11230006806 64474.913778511574, -59738.10988149732 64475.209492405986, -59738.109478441926 64475.265347481, -59738.1090297284 64475.32306352167, -59738.10879296775 64475.35636979725, -59738.10861173167 64475.3834702382, -59738.10828310626 64475.41263580158, -59738.10644513945 64475.64525753939, -59738.103080634704 64476.08992180332, -59738.10134781248 64476.29854470395, -59738.09938722359 64476.55982030533, -59738.096621951736 64476.91697741036, -59738.09380821127 64477.27216754201, -59738.091397526194 64477.57150259723, -59738.0899129949 64477.76606226826, -59738.0888041727 64477.91376675254, -59738.08432720408 64478.70735651584, -59738.076370478855 64479.50085186044, -59738.07341806677 64479.87352222006, -59737.776130588616 64516.727196029286, -59737.81861888696 64530.91159084569, -59737.76546321209 64539.90292063737, -59737.76099513998 64540.56998437787, -59736.93322615685 64650.521299926746, -59736.671850444 64684.84665391318, -59705.27802117611 64684.64358150049, -59695.14671398586 64684.569688307325, -59645.74528788963 64684.219251511124, -59637.302926765966 64684.1593136874, -59472.37821703604 64683.57315381589, -59462.60224443669 64683.543829409464, -59461.1934726088 64683.543151490885, -59459.78450492855 64683.5425716902, -59441.321707886076 64683.58506647759, -59390.04964696283 64683.43110038043, -59382.87439284175 64683.37033826642, -59371.64563618902 64683.31677701387, -59366.29596696738 64683.31073253185, -59361.40327464974 64683.31046897977, -59356.360999053206 64683.31214563855, -59355.29112635718 64683.3123865281, -59354.784108090804 64683.3119714903, -59348.46302996713 64683.27862950304, -59346.588744474044 64683.269245588184, -59337.22759649156 64683.229121748365, -59316.94739351889 64683.15552013732, -59234.176156568275 64682.648954793905, -59204.774814960045 64682.431193452314, -59190.197932965486 64682.315166273576, -59186.14451184596 64682.248075632604, -59176.78588496821 64682.13671229203, -59166.47097454987 64682.04387585904, -59163.08386599613 64682.001284197206, -59148.15430599661 64681.77573478658, -59128.2724849883 64681.60849142125, -59122.793006500026 64681.5947616149, -59076.206964845645 64681.57381053495, -59070.74003775931 64681.572830976176, -59061.898556620356 64681.54976766714, -59046.54916257268 64681.46425305732, -59035.94711379155 64681.39753106974, -59032.56082196171 64681.357126181734, -59028.03391151421 64681.29889609315, -59023.50703404191 64681.23932160488, -58999.92200169822 64681.0218852812, -58967.82288437088 64680.403531781754, -58954.2077041606 64680.33982826236, -58948.87056997479 64680.32746269, -58930.13325188538 64680.28381199477, -58911.63772581813 64680.24485710345, -58908.17178620525 64680.23776753932, -58907.698738698535 64680.23651193165, -58905.71678742888 64680.23153548317, -58900.96037453124 64680.21961974542, -58894.43561825705 64680.20500848545, -58892.2222790269 64680.20099149943, -58861.608221080154 64680.13634432271, -58841.123234851366 64680.09094250894, -58821.82008666687 64680.05092883347, -58819.441853601034 64680.04605297988, -58803.69573386761 64680.01022148669, -58796.37824353995 64679.994870059134, -58794.26519641926 64679.991296155116, -58783.800214317926 64679.967560572586, -58764.499871916334 64679.92749967998, -58750.48373714227 64679.896621447326, -58745.78307422587 64679.88713721092, -58732.88399680206 64679.84882317258, -58726.77470676008 64679.832747861255, -58714.570956762305 64679.80720519782, -58706.88208968896 64679.79003473071, -58698.17647433338 64679.76822308371, -58686.69177069252 64679.742748545235, -58669.30418137381 64679.705346088, -58651.32721711595 64679.66538391377, -58631.726367323856 64679.620738023164, -58612.5734895699 64679.578317732354, -58609.826680346705 64679.57180446232, -58590.89485025678 64679.52410238506, -58590.17580902054 64679.52381995888, -58571.0169939703 64679.47501676634, -58549.79837825494 64679.41672431827, -58532.643537706186 64679.37411581745, -58528.87429786661 64679.365904752805, -58507.802902816235 64679.31128374317, -58497.29950619257 64679.28417493795, -58487.17358356243 64679.25872814203, -58470.07777359089 64679.207047424614, -58458.43686025725 64679.17759390467, -58453.86900051439 64679.172001827705, -58435.59708333346 64679.149409848804, -58431.99291520567 64679.13874356235, -58413.78900389171 64679.08819606051, -58405.8525482841 64679.06995002834, -58392.2754197173 64679.0439722492, -58368.99074243903 64678.99478099523, -58346.88768887054 64678.979430237545, -58324.78463280417 64678.96417406709, -58315.83143261404 64678.9568900927, -58313.95117524212 64678.95434408765, -58288.95423132042 64678.91913658156, -58266.54789156805 64678.92179433996, -58243.84127026804 64678.91463190509, -58238.17094870519 64678.912908420054, -58221.62061502746 64667.163038104576, -58199.82269725879 64654.810149882345, -58176.99331533812 64644.81057654479, -58170.977561410604 64642.54733923137, -58163.605714587764 64639.77633713177, -58164.141671826925 64638.67222976389, -58163.79150893685 64638.55088311706, -58158.85154235208 64636.86631767004, -58132.94447023612 64630.0961900832, -58119.16877903979 64627.29845326303, -58098.88438350954 64625.396853278464, -58091.901494518184 64625.03719700174, -58091.95835683531 64623.53180764126, -57995.49368806009 64619.39692658696, -57981.51692107652 64618.47503294531, -57967.5743329483 64617.08654849392, -57967.59514179359 64618.67463966252, -57962.47580332403 64618.12722999446, -57946.40423234329 64615.96944071403, -57930.42137717976 64613.16042448422, -57914.55035508247 64609.70411994942, -57898.81396540539 64605.605595172674, -57883.23479390199 64600.87074007421, -57867.83559680239 64595.506380333296, -57852.63833675257 64589.520147710966, -57837.664948503094 64582.92081128526, -57825.53391300257 64577.06991236596, -57813.58551162665 64570.804356699635, -57801.83186290549 64564.130887880776, -57795.396518846595 64560.314617757336, -57784.98736292908 64553.100080813965, -57767.17281918565 64542.739272573825, -57737.616508634805 64520.40381909186, -57734.377240232425 64516.287350791274, -57725.83165714286 64505.24188404498, -57725.303601010935 64504.750709833155, -57691.30859841146 64471.68225635392, -57676.05306220469 64458.11792123549, -57659.75875894104 64446.0179111556, -57642.53749438305 64435.477131846106, -57624.53016248616 64426.57182984685, -57574.07617958692 64412.7518540889, -57562.54988427306 64412.261328220506, -57551.01675627845 64412.53804816411, -57539.52131994494 64413.580740851336, -57528.10806636118 64415.38554597379, -57516.82118116854 64417.94528436807, -57505.70414015929 64421.250171216925, -57494.731318546204 64425.30385540247, -57484.01180455468 64430.07154011283, -57473.586084625575 64435.535186378715, -57463.49373949629 64441.67424772033, -57453.7729685039 64448.465346824756, -57444.4605794387 64455.88268912498, -57439.48284534841 64459.844778288905, -57439.58664580515 64466.60832052665, -57439.11661505615 64473.35471683914, -57439.104098156036 64473.517940019185, -57439.091001300614 64473.681147447904, -57439.07799856446 64473.84446088575, -57439.06422255306 64474.00775330816, -57439.050349883175 64474.1710431077, -57439.0360956447 64474.33411562768, -57439.021744743295 64474.49718551206, -57439.00691562116 64474.66003550109, -57438.99179144508 64474.823084371434, -57438.97618650828 64474.98601672846, -57438.960495057516 64475.1485329062, -57438.94440428274 64475.31155551395, -57438.92793701505 64475.474154073854, -57438.911278968 64475.636643983344, -57438.894325866975 64475.79933279114, -57438.87670629196 64475.96158966408, -57438.85917830762 64476.12405593527, -57438.84126621706 64476.286408317406, -57438.823069221566 64476.44854604285, -57438.804287193314 64476.610874781014, -57438.78522026014 64476.77298886672, -57438.76625252428 64476.93500219044, -57438.74670736457 64477.09689636665, -57438.72677302997 64477.2588834292, -57438.706556326084 64477.42055244027, -57438.68604457067 64477.582420352475, -57438.665247908146 64477.74407360939, -57438.64416380301 64477.90561559872, -57438.62278718194 64478.06725309441, -57438.60103153275 64478.22856992567, -57438.579080024305 64478.389984880494, -57438.556744418915 64478.55128595336, -57438.534027245485 64478.71236973251, -57438.511017551566 64478.87354903076, -57438.48762122535 64479.03471781916, -57438.464138380885 64479.195470433944, -57438.44026382628 64479.35641931284, -57438.41600516811 64479.51725429703, -57438.39146160755 64479.67787462594, -57438.36662552665 64479.838590471125, -57438.34150708123 64479.99898826625, -57438.31600453004 64480.159272168086, -57438.29020692764 64480.31975496114, -57438.264126953836 64480.47991972539, -57438.23756368228 64480.640071345595, -57438.210997876056 64480.80032635915, -57438.184053039804 64480.960260694126, -57438.15682075885 64481.12008377709, -57438.12901105695 64481.279787699794, -57438.10100803826 64481.43948637961, -57438.072814233936 64481.599076409024, -57437.42766840287 64483.36480890463, -57435.00375161224 64489.482790889764, -57432.049506526906 64495.32834254885, -57428.22839664946 64501.39552638335, -57423.84091276993 64507.007632046894, -57420.362409714464 64510.73692480217, -57416.633114461816 64514.1778991642, -57412.67410770809 64517.31105757897, -57410.062905798826 64519.1335408859, -57405.96977340988 64521.68204712876, -57400.6919315957 64525.00044886808, -57387.93628556707 64532.97618416451, -57379.04949516698 64538.66247424504, -57378.526219560925 64538.99741622596, -57377.25570704326 64539.65335110359, -57373.862112951356 64541.77497210405, -57360.4028811417 64550.188750253816, -57351.05854147883 64556.0305094887, -57347.33730925333 64558.23229993478, -57341.24427031628 64561.36559873911, -57334.96732231952 64564.051005325295, -57332.62233980017 64564.92210031921, -57317.699951673974 64570.60843036719, -57302.92808661558 64576.238739530665, -57294.959042325456 64579.2750099803, -57281.893701315006 64585.192330728365, -57279.703049299715 64587.12938265198, -57271.65834683417 64593.81257580512, -57233.04519423978 64626.06175686462, -57232.92127512495 64626.156982058536, -57232.79726188405 64626.252101230566, -57232.67324864564 64626.347220415344, -57232.549136207956 64626.442440350795, -57232.424927113316 64626.53765765205, -57232.3006289679 64626.63256218296, -57232.17633335835 64626.7273633106, -57232.05212933545 64626.82237384922, -57231.92802704566 64626.91718023392, -57231.80373397241 64627.01187797954, -57231.679247582484 64627.10657047802, -57231.55486292567 64627.2010588254, -57231.43047572917 64627.29565055055, -57231.30589521376 64627.39023702857, -57231.181223114516 64627.484614102694, -57231.056840994286 64627.57899905955, -57230.93207730689 64627.67316673543, -57230.80740520847 64627.767543813796, -57230.682832303086 64627.861820131584, -57230.55797449242 64627.95588179408, -57230.4332133416 64628.04994608086, -57230.30816475231 64628.14389910286, -57230.18340613748 64628.23786000337, -57230.05845420382 64628.331815648235, -57229.93370320042 64628.42546638709, -57229.808751271856 64628.51942203054, -57229.68351696658 64628.613059633855, -57229.55857264482 64628.706705124154, -57229.433437539665 64628.800241965466, -57229.30830243474 64628.893778812446, -57229.183070670566 64628.98731302665, -57229.05784398204 64629.08064046972, -57228.9324239701 64629.173962657165, -57228.80719981756 64629.26718670972, -57228.681975660715 64629.36041076511, -57228.55636486588 64629.45362431348, -57228.431145787225 64629.546641596324, -57228.30553499295 64629.63985514044, -57228.18021925301 64629.73286979334, -57228.05452194816 64629.825667168094, -57227.92901796268 64629.91846979848, -57227.80322399431 64630.01126453622, -57227.677722547065 64630.103963776084, -57227.55202777871 64630.196657761735, -57227.42623888417 64630.28924573259, -57227.30054665402 64630.3818363263, -57227.17456951399 64630.47421226755, -57227.04868903833 64630.566590833085, -57226.92280856063 64630.658969404285, -57226.79702727816 64630.751247210654, -57226.67076270045 64630.84351188431, -57213.69370442475 64639.52103111362, -57200.326865428535 64647.492214335165, -57186.60381080453 64654.737282480804, -57172.55923767306 64661.23762525952, -57172.42138630543 64661.28570971629, -57172.28354762235 64661.33327722471, -57172.14589718501 64661.381056774044, -57172.008145013584 64661.429040458905, -57171.87030886736 64661.47650457962, -57171.732276864685 64661.52406684657, -57171.59453483897 64661.57163698492, -57171.45660203329 64661.61909847712, -57171.31867429855 64661.66635320385, -57171.18055578607 64661.713499292935, -57171.04263058899 64661.76065062631, -57170.90460366 64661.80800611646, -57170.76658687839 64661.85494804736, -57170.628567558844 64661.90199337302, -57170.490451583755 64661.94903607299, -57170.35243733887 64661.99587462328, -57170.21422977244 64662.042707913686, -57170.07602728144 64662.08933444005, -57169.9377205216 64662.13626848678, -57169.799525644536 64662.182584851485, -57169.66132314873 64662.22921137218, -57169.52312319591 64662.2757345066, -57169.38473246085 64662.3221489892, -57169.24634679893 64662.36835670917, -57169.10795860138 64662.414667815414, -57168.96966959696 64662.460878162485, -57168.83128139775 64662.50718926023, -57168.69261590272 64662.55297555379, -57168.55432943503 64662.599082508925, -57168.41576060204 64662.64487142817, -57168.27728081639 64662.690973131925, -57168.138620394246 64662.73655263877, -57168.00033900614 64662.78245282703, -57167.861482729015 64662.82813047018, -57167.72302070125 64662.873508457276, -57167.584459478596 64662.91898721204, -57167.44569985807 64662.96466748513, -57167.30704705069 64663.009936838826, -57167.16820092172 64663.05520093405, -57167.02955064731 64663.10036689864, -57166.89060785735 64663.14562836676, -57166.75196012492 64663.19069095074, -57166.61321572566 64663.235750893444, -57166.47418642402 64663.28059619078, -57166.335538688974 64663.32565876485, -57166.19650938787 64663.37050405227, -57166.05738850277 64663.41513995845, -57165.91855505764 64663.45988710532, -57165.779624949915 64663.50463165057, -57165.640794042185 64663.54927541542, -57165.50158664226 64663.5934951324, -57165.36256748816 64663.637926880394, -57165.22344914154 64663.68245938473, -57165.08433840036 64663.72668172882, -57164.945227658296 64663.77090407008, -57164.80611691986 64663.81512641134, -57164.66682047066 64663.85903334523, -57164.52780892656 64663.90315492875, -57164.38851248012 64663.94706185414, -57164.249119369 64663.99096615101, -57164.11012051149 64664.03457080174, -57163.97072740308 64664.07847509578, -57152.14327068626 64668.83253276152, -57140.14201077203 64673.05796474102, -57127.987731589776 64676.74736977899, -57115.70137994484 64679.89459253226, -57103.303887428 64682.494097997966, -57092.12321889815 64684.20540377948, -57080.89463380215 64685.50437585045, -56983.33161487844 64696.04460959946, -56980.72802220164 64697.529289687256, -56962.40199469526 64697.22417039094, -56914.22624943679 64700.198957205066, -56912.607589017 64700.198095463966, -56898.01726101445 64700.1920052306, -56881.808270082634 64700.18515191078, -56859.634458832865 64700.17535498759, -56843.42554406529 64700.16538886021, -56827.2165532112 64700.15851960071, -56811.00475924175 64700.151569392285, -56794.7957709708 64700.144587286086, -56778.586894853805 64700.14091406179, -56766.79862652095 64700.13265319823, -56763.633375658625 64700.13050099601, -56762.377804638374 64700.13019530682, -56746.169002395116 64700.127445736995, -56744.83992169707 64700.12710675504, -56729.960001274325 64700.11703029903, -56724.06007274311 64700.11449622714, -56724.07009903301 64701.05393858286, -56724.235219776325 64732.39688096338, -56724.464966954205 64776.435058947674, -56724.474435513126 64778.11853839909, -56724.10399254952 64779.74989275098, -56677.51271101251 64779.924697291, -56677.329922401084 64779.92386569154, -56677.427996258266 64797.26299459023, -56677.52295393595 64814.5990379169, -56677.62093116743 64831.93816291105, -56677.71900000992 64849.27749668029, -56677.81697727908 64866.61662041399, -56677.91493402494 64883.95263929368, -56678.010009001286 64901.29178629747, -56678.1050634473 64918.627828458586, -56678.20594059182 64935.96702849881, -56678.303991533125 64953.30315085116, -56678.40196384492 64970.64247756049, -56678.49984205119 64987.981697620555, -56678.59499325076 65005.317739239246, -56678.692874036846 65022.65685463843, -56678.79094561911 65039.99607805354, -56678.886000214596 65057.33211514313, -56678.993846284924 65076.24774757654, -56679.05092732242 65086.28241377913, -56679.06371009908 65088.40235754441, -56689.28838694899 65088.33388076318, -56689.37053732846 65095.644210549886, -56688.988032166075 65105.07081402161, -56688.390456651185 65113.98318955893, -56688.48130842011 65134.00522790015, -56688.56613776423 65152.81036172516, -56688.651237082544 65171.580844559096, -56688.69260977614 65180.600183402996, -56688.73926456442 65190.953310209195, -56688.78733034416 65201.0163860081, -56688.81326716873 65207.1606909135, -56688.993866801335 65246.80435622845, -56689.0159842141 65251.93365862171, -56689.112105637105 65272.65540020617, -56689.20204646978 65292.828865866526, -56689.29510606795 65313.00531221144, -56727.60929357262 65313.14777194938, -56745.10586821613 65313.21119388525, -56745.47717086798 65313.20028724034, -56745.548112295815 65328.2475344423, -56745.62548486166 65344.971968705264, -56745.67922846872 65356.28969611739, -56745.73478696699 65367.82514281896, -56745.784313212724 65378.786557970125, -56745.855739822844 65394.33826496252, -56745.91790885278 65407.53176367945, -56745.977808836695 65420.00970263816, -56746.03743988422 65432.538016741986, -56746.099159846715 65445.2334678083, -56746.176294789795 65461.38423120653, -56746.25451694489 65477.947914171804, -56746.41324938715 65511.80977046478, -56746.481219724585 65520.38776091291, -56738.02461209106 65520.33196176627, -56621.36522062536 65521.35960686695, -56498.818942771955 65520.78445246919, -56418.63419431009 65520.82137423641, -56376.508004470976 65520.59893654851, -56287.4795505506 65520.26874851061, -56266.359947733254 65520.41453388163, -56155.85109776841 65520.12792095897, -56093.934875436746 65520.094615207396, -56044.2942101431 65520.011732913394, -56015.552629603626 65519.84561347033, -55932.28499477356 65519.83015064488, -55876.16137728947 65519.20287983051, -55820.19468730974 65519.02323124828, -55735.4483178665 65519.19712327673, -55708.20630836094 65518.90269885773, -55594.70605371679 65518.86371009017, -55495.78880634031 65518.01883285854, -55410.411123277525 65517.983140745135, -55399.03360906723 65518.046186010324, -55302.30127518834 65517.74086623236, -55231.79443294102 65517.19959134096, -55167.07067549338 65516.960870753435, -55052.28831842449 65516.97298862701, -55041.88463039756 65516.96883913558, -54915.16076629844 65517.303483621625, -54874.99317042654 65517.37892678747, -54868.61208400062 65517.3936178308, -54807.68348235675 65517.60488020912, -54710.17476421523 65517.97954542204, -54375.37921159805 65518.73550984309, -54375.38774504989 65528.18856879855, -54375.38442114096 65529.49046493173, -54375.3917939825 65552.09391877087, -54375.40726723215 65599.107588477, -54375.417988354675 65630.15371261882, -54375.429640531445 65661.58750748826, -54375.441486565105 65693.58875840607, -54375.443097339456 65698.76043414633, -54375.44424132075 65702.7058403155, -54375.09800285416 65724.2053058677, -54285.03019259229 65724.1883200955, -54272.11569652067 65727.75542035403, -54269.86330143196 65728.37678514136, -54215.12921058585 65728.95782585081, -54215.045204868045 65709.74087105457))\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_jun_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0395123034588667,\n        \"min\": 9.535574359128852,\n        \"max\": 18.48822617570338,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          15.785052454422967,\n          15.009712366102576,\n          17.060007349167176\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_jun_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2951211374160265,\n        \"min\": 20.22591690212385,\n        \"max\": 34.49078175588659,\n        \"num_unique_values\": 327,\n        \"samples\": [\n          26.9100840006679,\n          21.058508713555597,\n          23.035447211215647\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_jul_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9378576984971876,\n        \"min\": 12.966756395216494,\n        \"max\": 22.594702749172612,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          17.117968482621382,\n          17.87925116950636,\n          18.501906736661134\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_jul_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.204785494372283,\n        \"min\": 23.206887570206444,\n        \"max\": 39.87350290658431,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          23.817464146009275,\n          36.49479586541094,\n          25.689812042522682\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMIN_aug_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1236620206027075,\n        \"min\": 11.544744516038097,\n        \"max\": 19.645471957185954,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          17.492028796497546,\n          16.563803123356262,\n          18.78647522399566\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TMAX_aug_mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.4109208762835532,\n        \"min\": 24.192675788636297,\n        \"max\": 36.5592019571887,\n        \"num_unique_values\": 313,\n        \"samples\": [\n          25.211090440779156,\n          35.37788940665129,\n          26.977507798051775\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coast_dist_mi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.145130103519907,\n        \"min\": 0.02313030390243685,\n        \"max\": 193.54144688279393,\n        \"num_unique_values\": 360,\n        \"samples\": [\n          22.924617493074255,\n          12.905691622755661,\n          19.152459092831116\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 26
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "##### Join dataframes of monthly GCHN temp extrema and Zillow monthly home values"
+      ],
+      "metadata": {
+        "id": "sYIiRZLSwV90"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# San Diego (joined by neighborhood name)\n",
+        "sd_zillow = zillow[zillow['City'] == 'San Diego']\n",
+        "sd_polys = monthly_t_polys[monthly_t_polys.CITY == 'San Diego']\n",
+        "sd = pd.merge(sd_polys, sd_zillow,\n",
+        "         left_on =  ['NAME'],\n",
+        "         right_on = ['RegionName'],\n",
+        "         how = 'inner')\n",
+        "# Los Angeles (joined by neighborhood name)\n",
+        "la_zillow = zillow[zillow['City'] == 'Los Angeles']\n",
+        "la_polys = monthly_t_polys[monthly_t_polys.CITY == 'Los Angeles']\n",
+        "la = pd.merge(la_polys, la_zillow,\n",
+        "         left_on =  ['NAME'],\n",
+        "         right_on = ['RegionName'],\n",
+        "         how = 'inner')\n",
+        "# all other SoCal cities (joined by city name, excluding LA and San Diego)\n",
+        "cities_zillow = zillow[(zillow['CountyName'].isin(\n",
+        "    ['San Bernardino County', 'Los Angeles County', 'Riverside County',\n",
+        "     'Orange County', 'San Diego County'])) & (zillow['State'] == 'CA') & \\\n",
+        "                       ~zillow['City'].isin(['Los Angeles','San Diego'])\n",
+        "     ]\n",
+        "# group by neighborhoods and calculate city-wide mean home price\n",
+        "groupdf = cities_zillow.groupby('City').mean('StateName')#['2024-06-30']\n",
+        "cities_polys = monthly_t_polys[~monthly_t_polys['CITY'].isin(\n",
+        "    ['Los Angeles','San Diego'])]\n",
+        "socal = pd.merge(cities_polys, groupdf,\n",
+        "                 left_on =  ['CITY'],\n",
+        "                 right_on = ['City'],\n",
+        "                 how = 'inner')\n",
+        "# preview final df\n",
+        "socal.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 429
+        },
+        "id": "_ChYkXLlUngo",
+        "outputId": "eb8aebb5-698f-41d7-9af2-be835c0555ee"
+      },
+      "execution_count": 27,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "               COUNTY           CITY                   NAME  \\\n",
+              "0  Los Angeles County   Agoura Hills   City of Agoura Hills   \n",
+              "1       Orange County        Anaheim        City of Anaheim   \n",
+              "2  Los Angeles County  Beverly Hills  City of Beverly Hills   \n",
+              "3  Los Angeles County        Burbank        City of Burbank   \n",
+              "4  Los Angeles County      Calabasas      City of Calabasas   \n",
+              "\n",
+              "                                            geometry  TMIN_jun_mean  \\\n",
+              "0  POLYGON ((-108776.27251750563 73622.3173708260...      14.680297   \n",
+              "1  POLYGON ((-16455.64764911131 42559.63829544729...      16.678323   \n",
+              "2  POLYGON ((-79933.10125249567 68138.21885925386...      15.297999   \n",
+              "3  POLYGON ((-72019.31070366783 76114.24110832039...      14.991207   \n",
+              "4  POLYGON ((-101745.08948424536 76050.5251551077...      14.704414   \n",
+              "\n",
+              "   TMAX_jun_mean  TMIN_jul_mean  TMAX_jul_mean  TMIN_aug_mean  TMAX_aug_mean  \\\n",
+              "0      27.058018      16.448376      30.871719      15.560899      30.628735   \n",
+              "1      27.100097      18.528244      30.666662      18.355448      31.427593   \n",
+              "2      23.774397      16.856491      26.898532      17.260905      27.860716   \n",
+              "3      27.982352      17.574896      32.871899      17.354906      32.659311   \n",
+              "4      27.633989      16.582253      31.700713      15.850736      31.505658   \n",
+              "\n",
+              "   ...    2025-01-31    2025-02-28    2025-03-31    2025-04-30    2025-05-31  \\\n",
+              "0  ...  1.323863e+06  1.316468e+06  1.309627e+06  1.309319e+06  1.310334e+06   \n",
+              "1  ...  9.035698e+05  9.048926e+05  9.035138e+05  9.013556e+05  8.974766e+05   \n",
+              "2  ...  4.710977e+06  4.687685e+06  4.660119e+06  4.647134e+06  4.628642e+06   \n",
+              "3  ...  1.124832e+06  1.122515e+06  1.114804e+06  1.108793e+06  1.102010e+06   \n",
+              "4  ...  2.533258e+06  2.523314e+06  2.512006e+06  2.511119e+06  2.508510e+06   \n",
+              "\n",
+              "     2025-06-30    2025-07-31    2025-08-31    2025-09-30    2025-10-31  \n",
+              "0  1.308820e+06  1.306303e+06  1.302594e+06  1.304282e+06  1.310397e+06  \n",
+              "1  8.941474e+05  8.916205e+05  8.900623e+05  8.892632e+05  8.899823e+05  \n",
+              "2  4.602127e+06  4.603475e+06  4.626233e+06  4.686319e+06  4.747487e+06  \n",
+              "3  1.094225e+06  1.087557e+06  1.081605e+06  1.080110e+06  1.080395e+06  \n",
+              "4  2.502251e+06  2.494857e+06  2.491723e+06  2.506540e+06  2.529102e+06  \n",
+              "\n",
+              "[5 rows x 323 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-ef920bb4-84ea-4f38-9315-29ca7edfdba1\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>COUNTY</th>\n",
+              "      <th>CITY</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>TMIN_jun_mean</th>\n",
+              "      <th>TMAX_jun_mean</th>\n",
+              "      <th>TMIN_jul_mean</th>\n",
+              "      <th>TMAX_jul_mean</th>\n",
+              "      <th>TMIN_aug_mean</th>\n",
+              "      <th>TMAX_aug_mean</th>\n",
+              "      <th>...</th>\n",
+              "      <th>2025-01-31</th>\n",
+              "      <th>2025-02-28</th>\n",
+              "      <th>2025-03-31</th>\n",
+              "      <th>2025-04-30</th>\n",
+              "      <th>2025-05-31</th>\n",
+              "      <th>2025-06-30</th>\n",
+              "      <th>2025-07-31</th>\n",
+              "      <th>2025-08-31</th>\n",
+              "      <th>2025-09-30</th>\n",
+              "      <th>2025-10-31</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Agoura Hills</td>\n",
+              "      <td>City of Agoura Hills</td>\n",
+              "      <td>POLYGON ((-108776.27251750563 73622.3173708260...</td>\n",
+              "      <td>14.680297</td>\n",
+              "      <td>27.058018</td>\n",
+              "      <td>16.448376</td>\n",
+              "      <td>30.871719</td>\n",
+              "      <td>15.560899</td>\n",
+              "      <td>30.628735</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.323863e+06</td>\n",
+              "      <td>1.316468e+06</td>\n",
+              "      <td>1.309627e+06</td>\n",
+              "      <td>1.309319e+06</td>\n",
+              "      <td>1.310334e+06</td>\n",
+              "      <td>1.308820e+06</td>\n",
+              "      <td>1.306303e+06</td>\n",
+              "      <td>1.302594e+06</td>\n",
+              "      <td>1.304282e+06</td>\n",
+              "      <td>1.310397e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Orange County</td>\n",
+              "      <td>Anaheim</td>\n",
+              "      <td>City of Anaheim</td>\n",
+              "      <td>POLYGON ((-16455.64764911131 42559.63829544729...</td>\n",
+              "      <td>16.678323</td>\n",
+              "      <td>27.100097</td>\n",
+              "      <td>18.528244</td>\n",
+              "      <td>30.666662</td>\n",
+              "      <td>18.355448</td>\n",
+              "      <td>31.427593</td>\n",
+              "      <td>...</td>\n",
+              "      <td>9.035698e+05</td>\n",
+              "      <td>9.048926e+05</td>\n",
+              "      <td>9.035138e+05</td>\n",
+              "      <td>9.013556e+05</td>\n",
+              "      <td>8.974766e+05</td>\n",
+              "      <td>8.941474e+05</td>\n",
+              "      <td>8.916205e+05</td>\n",
+              "      <td>8.900623e+05</td>\n",
+              "      <td>8.892632e+05</td>\n",
+              "      <td>8.899823e+05</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Beverly Hills</td>\n",
+              "      <td>City of Beverly Hills</td>\n",
+              "      <td>POLYGON ((-79933.10125249567 68138.21885925386...</td>\n",
+              "      <td>15.297999</td>\n",
+              "      <td>23.774397</td>\n",
+              "      <td>16.856491</td>\n",
+              "      <td>26.898532</td>\n",
+              "      <td>17.260905</td>\n",
+              "      <td>27.860716</td>\n",
+              "      <td>...</td>\n",
+              "      <td>4.710977e+06</td>\n",
+              "      <td>4.687685e+06</td>\n",
+              "      <td>4.660119e+06</td>\n",
+              "      <td>4.647134e+06</td>\n",
+              "      <td>4.628642e+06</td>\n",
+              "      <td>4.602127e+06</td>\n",
+              "      <td>4.603475e+06</td>\n",
+              "      <td>4.626233e+06</td>\n",
+              "      <td>4.686319e+06</td>\n",
+              "      <td>4.747487e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Burbank</td>\n",
+              "      <td>City of Burbank</td>\n",
+              "      <td>POLYGON ((-72019.31070366783 76114.24110832039...</td>\n",
+              "      <td>14.991207</td>\n",
+              "      <td>27.982352</td>\n",
+              "      <td>17.574896</td>\n",
+              "      <td>32.871899</td>\n",
+              "      <td>17.354906</td>\n",
+              "      <td>32.659311</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.124832e+06</td>\n",
+              "      <td>1.122515e+06</td>\n",
+              "      <td>1.114804e+06</td>\n",
+              "      <td>1.108793e+06</td>\n",
+              "      <td>1.102010e+06</td>\n",
+              "      <td>1.094225e+06</td>\n",
+              "      <td>1.087557e+06</td>\n",
+              "      <td>1.081605e+06</td>\n",
+              "      <td>1.080110e+06</td>\n",
+              "      <td>1.080395e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Los Angeles County</td>\n",
+              "      <td>Calabasas</td>\n",
+              "      <td>City of Calabasas</td>\n",
+              "      <td>POLYGON ((-101745.08948424536 76050.5251551077...</td>\n",
+              "      <td>14.704414</td>\n",
+              "      <td>27.633989</td>\n",
+              "      <td>16.582253</td>\n",
+              "      <td>31.700713</td>\n",
+              "      <td>15.850736</td>\n",
+              "      <td>31.505658</td>\n",
+              "      <td>...</td>\n",
+              "      <td>2.533258e+06</td>\n",
+              "      <td>2.523314e+06</td>\n",
+              "      <td>2.512006e+06</td>\n",
+              "      <td>2.511119e+06</td>\n",
+              "      <td>2.508510e+06</td>\n",
+              "      <td>2.502251e+06</td>\n",
+              "      <td>2.494857e+06</td>\n",
+              "      <td>2.491723e+06</td>\n",
+              "      <td>2.506540e+06</td>\n",
+              "      <td>2.529102e+06</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 323 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ef920bb4-84ea-4f38-9315-29ca7edfdba1')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-ef920bb4-84ea-4f38-9315-29ca7edfdba1 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-ef920bb4-84ea-4f38-9315-29ca7edfdba1');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-3a9b200a-9c20-4e6a-86cd-fc0c28df7946\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3a9b200a-9c20-4e6a-86cd-fc0c28df7946')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-3a9b200a-9c20-4e6a-86cd-fc0c28df7946 button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "socal"
+            }
+          },
+          "metadata": {},
+          "execution_count": 27
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Results"
+      ],
+      "metadata": {
+        "id": "AgeRGoPzyXYV"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Sample map of GCHN stations and interpolated 2 km grid of TMAX on June 1st, 2024"
+      ],
+      "metadata": {
+        "id": "HVM7gZGO7NQu"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# set up figure and projection\n",
+        "proj = ccrs.PlateCarree()\n",
+        "fig, ax = plt.subplots(figsize=(10,10), subplot_kw=dict(projection=proj))\n",
+        "\n",
+        "# add title, axis labels, and coastlines\n",
+        "ax.coastlines()\n",
+        "ax.add_feature(cfeature.STATES, linewidth=0.3, edgecolor='k')\n",
+        "ax.set_title(\n",
+        "    'GCHN Station Points and Interpolated\\nGrid for TMAX (June 1st 2024)')\n",
+        "\n",
+        "# add neighborhood/city boundaries\n",
+        "polys_neigh = polys_neigh.to_crs(proj)\n",
+        "ax.add_geometries(polys_neigh[\"geometry\"],\n",
+        "                  crs=proj,\n",
+        "                  edgecolor='k',\n",
+        "                  facecolor='none')\n",
+        "\n",
+        "# add rasterized GCHN daily image for TMIN/TMAX\n",
+        "gchn_img = ax.pcolormesh(maxtemps_xr.longitude,\n",
+        "                         maxtemps_xr.latitude,\n",
+        "                         CtoF(maxtemps_xr.temperature.values),\n",
+        "                         transform=to_proj)\n",
+        "fig.colorbar(gchn_img, shrink=0.5, pad=0.035)\n",
+        "\n",
+        "# add GCHN station points with TMAX values\n",
+        "cs2 = ax.scatter(max_temps_daily.lon,\n",
+        "                 max_temps_daily.lat,\n",
+        "                 c=CtoF(max_temps_daily.value),\n",
+        "                 s=10,\n",
+        "                 transform=proj,\n",
+        "                 cmap='Reds',\n",
+        "                 edgecolor='k',\n",
+        "                 zorder=20)\n",
+        "cb = fig.colorbar(cs2, shrink=0.5)\n",
+        "cb.set_label('TMAX [°F]')\n",
+        "\n",
+        "# zoom into southern CA\n",
+        "ax.set_extent([np.nanmin(max_temps_daily.lon),\n",
+        "               np.nanmax(max_temps_daily.lon),\n",
+        "               np.nanmin(max_temps_daily.lat),\n",
+        "               np.nanmax(max_temps_daily.lat)])"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 501
+        },
+        "id": "JA-GWujjFqJh",
+        "outputId": "429b31c4-db8f-4b14-e647-1f3d7218c025"
+      },
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x1000 with 3 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Correlation between Zillow home prices and monthly min/max temperatures in southern California during summer 2024"
+      ],
+      "metadata": {
+        "id": "TXzmbJqF-3KI"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# create 2x3 grid of plots\n",
+        "fig, axes_main = plt.subplots(nrows=2, ncols=3, figsize=(18, 10))\n",
+        "fig.supxlabel('Monthly Temp Extrema [°C]');\n",
+        "fig.supylabel('2024 Mid-Tier Neighborhood/City Zillow Home Values [$]')\n",
+        "\n",
+        "# flatten the axes array\n",
+        "axes = axes_main.flatten()\n",
+        "\n",
+        "# initialize iterator variables for each subplot\n",
+        "mons = ['2024-06-30',\t'2024-07-31',\t'2024-08-31',\n",
+        "        '2024-06-30',\t'2024-07-31',\t'2024-08-31']\n",
+        "temp_mon = ['TMIN_jun_mean',\t'TMIN_jul_mean',\t'TMIN_aug_mean',\n",
+        "            'TMAX_jun_mean',\t'TMAX_jul_mean',\t'TMAX_aug_mean']\n",
+        "print('Spearman correlation coef b/t monthly TMIN/TMAX and Zillow home prices')\n",
+        "for j in range(6):\n",
+        "    # plot each monthly TMIN/TMAX VS Zillow prices\n",
+        "    axes[j].set_yscale('log')\n",
+        "    axes[j].scatter(la.loc[:, temp_mon[j]], la.loc[:, mons[j]],\n",
+        "                    c=la.loc[:, 'coast_dist_mi'], cmap='Blues_r',\n",
+        "                    norm=BoundaryNorm(range(0, 55, 5), 256),\n",
+        "                    marker='s', edgecolors='k',\n",
+        "                    label='LA neighs:\\n' + r'$\\rho$=' + \\\n",
+        "                    str(np.round(spearmanr(la.loc[:, temp_mon[j]],\n",
+        "                                           la.loc[:, mons[j]],\n",
+        "                                           nan_policy='omit')[0], 2)) +\\\n",
+        "                        r', p-val=' + str(np.round(spearmanr(\n",
+        "                            la.loc[:, temp_mon[j]], la.loc[:, mons[j]], nan_policy='omit')[1], 3)))\n",
+        "    axes[j].scatter(sd.loc[:, temp_mon[j]], sd.loc[:, mons[j]],\n",
+        "                    c=sd.loc[:, 'coast_dist_mi'], cmap='Blues_r',\n",
+        "                    norm=BoundaryNorm(range(0, 55, 5), 256),\n",
+        "                    marker='^', edgecolors='k',\n",
+        "                    label='San Diego neighs:\\n' + r'$\\rho$=' + \\\n",
+        "                    str(np.round(spearmanr(sd.loc[:, temp_mon[j]],\n",
+        "                                           sd.loc[:, mons[j]], nan_policy='omit')[0], 2)) +\\\n",
+        "                        r', p-val=' + str(np.round(spearmanr(\n",
+        "                            sd.loc[:, temp_mon[j]], sd.loc[:, mons[j]], nan_policy='omit')[1], 3)))\n",
+        "    im=axes[j].scatter(socal.loc[:, temp_mon[j]], socal.loc[:, mons[j]],\n",
+        "                    c=socal.loc[:, 'coast_dist_mi'], cmap='Blues_r',\n",
+        "                    norm=BoundaryNorm(range(0, 55, 5), 256),\n",
+        "                    edgecolors='k',# marker='x',\n",
+        "                    label='SoCal cities:\\n' + r'$\\rho$=' + \\\n",
+        "                    str(np.round(spearmanr(socal.loc[:, temp_mon[j]],\n",
+        "                                           socal.loc[:, mons[j]], nan_policy='omit')[0], 2)) +\\\n",
+        "                        r', p-val=' + str(np.round(spearmanr(\n",
+        "                            socal.loc[:, temp_mon[j]], socal.loc[:, mons[j]], nan_policy='omit')[1], 3)))\n",
+        "    # print Spearman correlation coefficient for all Zillow prices and TMIN/TMAX\n",
+        "    print(temp_mon[j] + ' for ALL cities:\\n' + r'ρ=' + \\\n",
+        "                    str(np.round(spearmanr(\n",
+        "                        pd.concat([sd, la, socal]).loc[:, temp_mon[j]],\n",
+        "                        pd.concat([sd, la, socal]).loc[:, mons[j]], nan_policy='omit')[0], 2)) +\\\n",
+        "                        r', p-val=' + str(np.round(spearmanr(\n",
+        "                            pd.concat([sd, la, socal]).loc[:, temp_mon[j]],\n",
+        "                            pd.concat([sd, la, socal]).loc[:, mons[j]],\n",
+        "                            nan_policy='omit')[1], 5)))\n",
+        "    # create bold labels to better indicate row and column structure\n",
+        "    if j==0:\n",
+        "      axes[j].set_title('June', weight='bold', fontsize=20, pad=10)\n",
+        "    if j==1:\n",
+        "      axes[j].set_title('July', weight='bold', fontsize=20, pad=10)\n",
+        "    if j==2:\n",
+        "      axes[j].set_title('August', weight='bold', fontsize=20, pad=10)\n",
+        "    if j==2:\n",
+        "      axes[j].set_ylabel('Mean TMIN [°C]', weight='bold', fontsize=20,\n",
+        "                         rotation=270, labelpad=22)\n",
+        "      axes[j].yaxis.set_label_position(\"right\")\n",
+        "    if j==5:\n",
+        "      axes[j].set_ylabel('Mean TMAX [°C]', weight='bold', fontsize=20,\n",
+        "                         rotation=270, labelpad=22)\n",
+        "      axes[j].yaxis.set_label_position(\"right\")\n",
+        "    axes[j].legend(fontsize=11)\n",
+        "    # create twin x-axis for temps in Fahr.\n",
+        "    if np.any(j == np.array([0, 1, 2])):\n",
+        "      ax_twin = axes[j].twiny()\n",
+        "      ax_twin.scatter(CtoF(np.arange(13,24)), [1e6]*len(np.arange(13,24)),\n",
+        "                      color='none')\n",
+        "      #ax_twin.set_ylabel('Customer Satisfaction Score', color='orange')\n",
+        "      ax_twin.tick_params(axis='x', labelcolor='r')\n",
+        "      axes[j].set_xlim(13, 23)\n",
+        "    if np.any(j == np.array([3, 4, 5])):\n",
+        "      ax_twin = axes[j].twiny()\n",
+        "      ax_twin.scatter(CtoF(np.arange(20,41)), [1e6]*len(np.arange(20,41)),\n",
+        "                      color='none')\n",
+        "      #ax_twin.set_ylabel('Customer Satisfaction Score', color='orange')\n",
+        "      ax_twin.tick_params(axis='x', labelcolor='r')\n",
+        "      axes[j].set_xlim(20, 40)\n",
+        "\n",
+        "# additional subplot and colorbar modifications\n",
+        "fig.subplots_adjust(bottom=0.1)\n",
+        "cbar_ax = fig.add_axes([0.15, -0.05, 0.7, 0.05])\n",
+        "cbar = fig.colorbar(im, cax=cbar_ax, orientation='horizontal')\n",
+        "cbar.set_label('Centroid Distance to Coast [mi]')\n",
+        "fig.tight_layout()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "UKV1VYLDRPOU",
+        "outputId": "4c3ff430-44db-49c4-db15-ebccfb9bdb7a"
+      },
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Spearman correlation coef b/t monthly TMIN/TMAX and Zillow home prices\n",
+            "TMIN_jun_mean for ALL cities:\n",
+            "ρ=-0.13, p-val=0.10247\n",
+            "TMIN_jul_mean for ALL cities:\n",
+            "ρ=-0.34, p-val=1e-05\n",
+            "TMIN_aug_mean for ALL cities:\n",
+            "ρ=-0.15, p-val=0.06779\n",
+            "TMAX_jun_mean for ALL cities:\n",
+            "ρ=-0.28, p-val=0.00023\n",
+            "TMAX_jul_mean for ALL cities:\n",
+            "ρ=-0.38, p-val=0.0\n",
+            "TMAX_aug_mean for ALL cities:\n",
+            "ρ=-0.38, p-val=0.0\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x1000 with 13 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file