forked from swnesbitt/ATMS-523-Module-2
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathREADME_Module2Assignment
More file actions
16 lines (9 loc) · 919 Bytes
/
Copy pathREADME_Module2Assignment
File metadata and controls
16 lines (9 loc) · 919 Bytes
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
The python notebook Module 2 Assignment completes the following tasks:
- Uses the precipitation output of ERA-5 to compute a time series of daily precipitation at a given point near NYC,
using a box of 5 x 5 deg lat-lon values, for a 15-year period (2020 - 2015).
- Determines the 95% values of daily precipitation within this 5x5 grid.
- Plots a cumulative distribution function of all daily precipitation values and illustrate the 95% value of daily precipitation in millimeters.
- Creates a list of dates included in the 95th quantile.
- Creates a map of the composite mean precipitation on the 95% days identified over 20 x 20 deg lat-lon values
- Creates a map of the anomaly of precipitation on the 95% days from the 1990-2020 climatology mean.
- Data was obtained from ARCO (analysis-ready and cloud optimized) ERA5 dataset via google research GitHub link https://github.com/google-research/arco-era5