diff --git a/poetry.lock b/poetry.lock
index a010a9a..e06bb13 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "bitsea"
@@ -6,82 +6,30 @@ version = "0.1.0"
 description = ""
 optional = false
 python-versions = "^3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = []
 develop = false
 
 [package.dependencies]
-cartopy = "^0.23.0"
-geographiclib = "^2.0"
-matplotlib = ">3.7.5"
 netcdf4 = "^1.6.5"
-numba = ">0.58"
 numpy = ">1.26.2"
-scikit-learn = "^1.4.2"
 scipy = "^1.12.0"
+xarray = ">2024.1.0"
 
 [package.source]
 type = "git"
 url = "https://github.com/inogs/bit.sea.git"
 reference = "master"
-resolved_reference = "ffbe5acdb0660fb87edaae2b5e0010b070747dfb"
-
-[[package]]
-name = "cartopy"
-version = "0.23.0"
-description = "A Python library for cartographic visualizations with Matplotlib"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
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-
-[package.dependencies]
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-numpy = ">=1.21"
-packaging = ">=20"
-pyproj = ">=3.3.1"
-pyshp = ">=2.3"
-shapely = ">=1.7"
-
-[package.extras]
-doc = ["pydata-sphinx-theme", "sphinx", "sphinx-gallery"]
-ows = ["OWSLib (>=0.20.0)", "pillow (>=6.1.0)"]
-plotting = ["pillow (>=6.1.0)", "scipy (>=1.3.1)"]
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-srtm = ["beautifulsoup4"]
-test = ["coveralls", "pytest (>=5.1.2)", "pytest-cov", "pytest-mpl (>=0.11)", "pytest-xdist"]
+resolved_reference = "aa7d5c52af02e69de53cdd2c6885ec3a0f0b8bfc"
 
 [[package]]
 name = "certifi"
-version = "2025.1.31"
+version = "2025.6.15"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
+python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -90,8 +38,6 @@ version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
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@@ -103,8 +49,6 @@ version = "1.6.4.post1"
 description = "Time-handling functionality from netcdf4-python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
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@@ -152,15 +96,13 @@ numpy = [
 
 [[package]]
 name = "click"
-version = "8.1.8"
+version = "8.2.1"
 description = "Composable command line interface toolkit"
 optional = false
-python-versions = ">=3.7"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
+python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -172,8 +114,6 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["dev"]
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@@ -181,67 +121,68 @@ files = [
 
 [[package]]
 name = "contourpy"
-version = "1.3.1"
+version = "1.3.2"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.10"
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 [package.dependencies]
@@ -250,7 +191,7 @@ numpy = ">=1.23"
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
+mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
@@ -260,8 +201,6 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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@@ -277,8 +216,6 @@ version = "0.21.2"
 description = "A command line utility to check for unused, missing and transitive dependencies in a Python project."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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@@ -311,8 +248,6 @@ version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
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@@ -324,8 +259,6 @@ version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
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 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
+typing = ["typing-extensions (>=4.12.2)"]
 
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 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
+python-versions = ">=3.9"
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 [package.extras]
 license = ["ukkonen"]
 
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-name = "joblib"
-version = "1.4.2"
-description = "Lightweight pipelining with Python functions"
+name = "julian"
+version = "0.14"
+description = "Simple library for converting between Julian calendar dates and datetime objects"
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-groups = ["main"]
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 [[package]]
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 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
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 ]
 
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 ]
 
 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
-tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions ; python_version < \"3.10\""]
+test-arrow = ["pyarrow"]
+tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"]
+typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.3.7"
+version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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+    {file = "platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4"},
+    {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"},
 ]
 
 [package.extras]
@@ -1014,8 +978,6 @@ version = "3.8.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
     {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"},
     {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"},
@@ -1034,8 +996,6 @@ version = "3.2.3"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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     {file = "pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be"},
@@ -1050,8 +1010,6 @@ version = "3.7.1"
 description = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
     {file = "pyproj-3.7.1-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:bf09dbeb333c34e9c546364e7df1ff40474f9fddf9e70657ecb0e4f670ff0b0e"},
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@@ -1091,27 +1049,12 @@ files = [
 [package.dependencies]
 certifi = "*"
 
-[[package]]
-name = "pyshp"
-version = "2.3.1"
-description = "Pure Python read/write support for ESRI Shapefile format"
-optional = false
-python-versions = ">=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
-files = [
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-    {file = "pyshp-2.3.1.tar.gz", hash = "sha256:4caec82fd8dd096feba8217858068bacb2a3b5950f43c048c6dc32a3489d5af1"},
-]
-
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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@@ -1120,14 +1063,38 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "pytmd"
+version = "2.2.5"
+description = "Python-based tidal prediction software for estimating ocean, load, solid Earth and pole tides"
+optional = false
+python-versions = "~=3.6"
+files = [
+    {file = "pytmd-2.2.5-py3-none-any.whl", hash = "sha256:2ec5ae56d98a3464bf2d05cffcef0bba2bd5f1a325068b6cbabeb90ecdbef8ec"},
+    {file = "pytmd-2.2.5.tar.gz", hash = "sha256:4e969c693205607cc34577b1488c93d6191681e52bc1c04f897033b59f4403f3"},
+]
+
+[package.dependencies]
+lxml = "*"
+netCDF4 = "*"
+numpy = "*"
+pyproj = "*"
+python-dateutil = "*"
+scipy = ">=1.10.1"
+setuptools_scm = "*"
+timescale = ">=0.0.8"
+
+[package.extras]
+all = ["cartopy", "ipyleaflet", "ipywidgets", "jplephem", "matplotlib", "notebook", "pandas"]
+dev = ["boto3", "flake8", "oct2py", "pytest (>=4.6)", "pytest-cov"]
+doc = ["docutils", "fontconfig", "freetype", "graphviz", "myst-nb", "numpydoc", "sphinx", "sphinx-argparse (>=0.4)", "sphinx-design", "sphinx_rtd_theme", "sphinxcontrib-bibtex"]
+
 [[package]]
 name = "pytz"
 version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -1139,8 +1106,6 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
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@@ -1199,132 +1164,71 @@ files = [
 
 [[package]]
 name = "requirements-parser"
-version = "0.11.0"
+version = "0.13.0"
 description = "This is a small Python module for parsing Pip requirement files."
 optional = false
 python-versions = "<4.0,>=3.8"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
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-    {file = "requirements_parser-0.11.0.tar.gz", hash = "sha256:35f36dc969d14830bf459803da84f314dc3d17c802592e9e970f63d0359e5920"},
+    {file = "requirements_parser-0.13.0-py3-none-any.whl", hash = "sha256:2b3173faecf19ec5501971b7222d38f04cb45bb9d87d0ad629ca71e2e62ded14"},
+    {file = "requirements_parser-0.13.0.tar.gz", hash = "sha256:0843119ca2cb2331de4eb31b10d70462e39ace698fd660a915c247d2301a4418"},
 ]
 
 [package.dependencies]
 packaging = ">=23.2"
-types-setuptools = ">=69.1.0"
-
-[[package]]
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-    {file = "shapely-2.0.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7977d8a39c4cf0e06247cd2dca695ad4e020b81981d4c82152c996346cf1094b"},
-    {file = "shapely-2.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0145387565fcf8f7c028b073c802956431308da933ef41d08b1693de49990d27"},
-    {file = "shapely-2.0.7-cp39-cp39-win32.whl", hash = "sha256:98697c842d5c221408ba8aa573d4f49caef4831e9bc6b6e785ce38aca42d1999"},
-    {file = "shapely-2.0.7-cp39-cp39-win_amd64.whl", hash = "sha256:a3fb7fbae257e1b042f440289ee7235d03f433ea880e73e687f108d044b24db5"},
-    {file = "shapely-2.0.7.tar.gz", hash = "sha256:28fe2997aab9a9dc026dc6a355d04e85841546b2a5d232ed953e3321ab958ee5"},
+    {file = "setuptools_scm-8.3.1-py3-none-any.whl", hash = "sha256:332ca0d43791b818b841213e76b1971b7711a960761c5bea5fc5cdb5196fbce3"},
+    {file = "setuptools_scm-8.3.1.tar.gz", hash = "sha256:3d555e92b75dacd037d32bafdf94f97af51ea29ae8c7b234cf94b7a5bd242a63"},
 ]
 
 [package.dependencies]
-numpy = ">=1.14,<3"
+packaging = ">=20"
+setuptools = "*"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
-test = ["pytest", "pytest-cov"]
+docs = ["entangled-cli (>=2.0,<3.0)", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-include-markdown-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
+rich = ["rich"]
+test = ["build", "pytest", "rich", "typing-extensions", "wheel"]
 
 [[package]]
 name = "six"
@@ -1423,34 +1286,39 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
 [[package]]
-name = "threadpoolctl"
-version = "3.6.0"
-description = "threadpoolctl"
+name = "timescale"
+version = "0.0.8"
+description = "Python tools for time and astronomical calculations"
 optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
+python-versions = "~=3.6"
 files = [
-    {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
-    {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
+    {file = "timescale-0.0.8-py3-none-any.whl", hash = "sha256:23c46c917df32ad6ef48c8466273ec9fa0eee3e39eb0b5c709bb4610f91a4ba4"},
+    {file = "timescale-0.0.8.tar.gz", hash = "sha256:546216a82f05b1e39a3cd009f5ec9d317cd8c7812fac6138b2fef689daf8c70d"},
 ]
 
+[package.dependencies]
+lxml = "*"
+numpy = "*"
+python-dateutil = "*"
+scipy = ">=1.10.1"
+setuptools_scm = "*"
+
+[package.extras]
+dev = ["flake8", "pytest (>=4.6)", "pytest-cov"]
+doc = ["docutils", "fontconfig", "freetype", "graphviz", "numpydoc", "sphinx", "sphinx-argparse (>=0.4)", "sphinx_rtd_theme"]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -1486,30 +1354,12 @@ files = [
     {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
 ]
 
-[[package]]
-name = "types-setuptools"
-version = "77.0.2.20250328"
-description = "Typing stubs for setuptools"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
-files = [
-    {file = "types_setuptools-77.0.2.20250328-py3-none-any.whl", hash = "sha256:034fb89e346fc8b19be25b73c304b64bd8d7e6a4f7a20d21be38ee67f8ed081d"},
-    {file = "types_setuptools-77.0.2.20250328.tar.gz", hash = "sha256:0d4d03c89ef34a4a81e19ee797ed1ea4496ef787524e03b40dcf91ba0328e8f5"},
-]
-
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "tzdata"
 version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -1517,15 +1367,13 @@ files = [
 
 [[package]]
 name = "virtualenv"
-version = "20.29.3"
+version = "20.31.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
-    {file = "virtualenv-20.29.3-py3-none-any.whl", hash = "sha256:3e3d00f5807e83b234dfb6122bf37cfadf4be216c53a49ac059d02414f819170"},
-    {file = "virtualenv-20.29.3.tar.gz", hash = "sha256:95e39403fcf3940ac45bc717597dba16110b74506131845d9b687d5e73d947ac"},
+    {file = "virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11"},
+    {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"},
 ]
 
 [package.dependencies]
@@ -1535,19 +1383,17 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "xarray"
-version = "2025.3.0"
+version = "2025.6.1"
 description = "N-D labeled arrays and datasets in Python"
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version <= \"3.11\" or python_version >= \"3.12.0.rc1\""
 files = [
-    {file = "xarray-2025.3.0-py3-none-any.whl", hash = "sha256:022b7eac5ebc26d70d34211de732ec1a15127a40455f9492acdde7fbe5bbf091"},
-    {file = "xarray-2025.3.0.tar.gz", hash = "sha256:531cf6d64e6ab54c19239930a840654f1a79d2140e9f0d11d1e8d69dcc581d0f"},
+    {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"},
+    {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"},
 ]
 
 [package.dependencies]
@@ -1559,12 +1405,12 @@ pandas = ">=2.1"
 accel = ["bottleneck", "flox", "numba (>=0.54)", "numbagg", "opt_einsum", "scipy"]
 complete = ["xarray[accel,etc,io,parallel,viz]"]
 etc = ["sparse"]
-io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_version < \"3.10\"", "scipy", "zarr"]
+io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "scipy", "zarr"]
 parallel = ["dask[complete]"]
-types = ["pandas-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"]
+types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"]
 viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "d142b1b33686f358b981e1fc76e7aa4ac0a0e45ff898c0d2299593913ceb682d"
+content-hash = "b6ed359effd878c80a1b595407625c38c96f7610d7398fba9451d63920e0bf97"
diff --git a/pyproject.toml b/pyproject.toml
index 0ddc471..de1f382 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,7 +12,9 @@ numpy = "^2.1.3"
 scipy = "^1.15.2"
 bitsea = { git = "https://github.com/inogs/bit.sea.git", branch = "master" }
 xarray = "^2025.1.2"
-
+matplotlib = "^3.10.0"
+pytmd  ="^2.2.5"
+julian ="^0.14"
 
 [tool.poetry.group.dev.dependencies]
 pre-commit = "^3.8.0"
diff --git a/src/tides/set_bc_grid.py b/src/tides/set_bc_grid.py
new file mode 100755
index 0000000..a2275d0
--- /dev/null
+++ b/src/tides/set_bc_grid.py
@@ -0,0 +1,277 @@
+import argparse
+import json
+from pathlib import Path
+import numpy as np
+
+
+def create_bc_grid(path_results, path_grid, cbdry, grid_dims, endian_val):
+    """
+    Input:
+     path_results, directory where results are saved
+     path_grid, directory of MITgcm grid files
+     (following files are expected,
+      YC.data. XC.data, hFacC.data
+      RF.data, AngleCS.data, AngleSN.data )
+      cbdry, character for bdry to generate: s, n, w, e,
+      (south, north, west, east)
+      grid_dims:
+      nx, first dimension of MITgcm grid, (west-east)
+      ny, second  dimension of MITgcm grid (south-north)
+      nz, dimension in z (or r)  direction
+    Output:
+    The script will generate a grid file named bdry_grid_[snwe].npy and will save
+    it in path_results
+    """
+
+    # path_results= "/home/sgaliana/ShareMER_tides/Resulting_NWMed_tide_files/"
+    # path_results = Path(path_results).expanduser().resolve()
+    # path_grid= "/home/sgaliana/ShareMER_tides/MITgcm_NWMed_grid/"
+    # path_grid = Path(path_grid).expanduser().resolve()
+    # cbdry="s"
+    # grid_dims= [850,664,61]
+    # endian_val="little"
+
+    nx = grid_dims[0]
+    ny = grid_dims[1]
+    nz = grid_dims[2]
+    debug = False
+    debug2 = True
+    # Default location of boundary
+    ny_north = ny-1
+    ny_south = 0
+    nx_west = 0
+    nx_east = nx-1
+    cbdry = cbdry.lower() #Enforce lowercase boundary labels
+
+    # Read latitude and longitude data
+    lat = readbin(str(path_grid/ f"YC.data"), (ny, nx), endian=endian_val)
+    if lat.shape != (ny,nx):
+        raise ValueError(f"YC.data shape {lat.shape} != ({ny},{nx})")
+    if debug:
+        print("lat shape", lat.shape)
+        print(lat)
+
+    lon = readbin(str(path_grid / f"XC.data"), (ny, nx), endian=endian_val)
+    if lon.shape != (ny,nx):
+        raise ValueError(f"XC.data shape {lon.shape} != ({ny},{nx})")
+    if debug:
+        print("lon shape", lon.shape)
+
+    # Read RF data and calculate thickness
+    rf = -readbin(str(path_grid / f"RF.data"), (nz + 1), endian=endian_val)
+    if rf.shape != (nz+1,):
+        raise ValueError(f"RF.data shape {rf.shape} != ({nz+1})")
+
+    thk = np.diff(rf)  # thickness cells
+    if debug:
+        print("rf shape", rf.shape, "thk", thk.shape)
+
+    # Read hFacC data and calculate depth
+    hfac = readbin(str(path_grid / f"hFacC.data"), (nz, ny, nx), endian=endian_val)
+    if hfac.shape != (nz,ny,nx):
+        raise ValueError(f"hFacC.data shape {hfac.shape} != ({nz},{ny},{nx})")
+
+
+    # thk3d = np.zeros_like(hfac)
+    # for k in range(nz):
+    #     temp1 = hfac[k, :, :]
+    #     thk3d[k, :, :] = thk[k] * temp1
+    depth = np.sum(hfac*thk[:, None, None], axis=0)
+
+    # # Initialize AngleCS and AngleSN
+    # AngleCS = np.ones((ny, nx))
+    # AngleSN = np.zeros((ny, nx))
+
+    try:
+        AngleCS = readbin(str(path_grid / f"AngleCS.data"), (ny, nx), endian=endian_val)
+    except FileNotFoundError:
+        AngleCS = np.ones((ny, nx))
+        print("AngleCS file not found. Generating a {ny,nx} ones array")
+
+    try:
+        AngleSN = readbin(str(path_grid / f"AngleSN.data"), (ny, nx), endian=endian_val)
+    except FileNotFoundError:
+        AngleSN = np.zeros((ny, nx))
+        print("AngleSN file not found. Generating a {ny,nx} zeros array")
+
+
+    # Determine boundary based on cbdry
+    if cbdry == "s":
+        lat_bc = lat[ny_south, :]
+        lon_bc = lon[ny_south, :]
+        depth_bc = depth[ny_south, :]
+        AngleCS_bc = AngleCS[ny_south, :]
+        AngleSN_bc = AngleSN[ny_south, :]
+        print("Determining south boundary")
+    elif cbdry == "n":
+        lat_bc = lat[ny_north, :]
+        lon_bc = lon[ny_north, :]
+        depth_bc = depth[ny_north, :]
+        AngleCS_bc = AngleCS[ny_north, :]
+        AngleSN_bc = AngleSN[ny_north, :]
+        print("Determining north boundary")
+    elif cbdry == "w":
+        lat_bc = lat[:, nx_west]
+        lon_bc = lon[:, nx_west]
+        depth_bc = depth[:, nx_west]
+        AngleCS_bc = AngleCS[:, nx_west]
+        AngleSN_bc = AngleSN[:, nx_west]
+        print("Determining west boundary")
+    elif cbdry == "e":
+        lat_bc = lat[:, nx_east]
+        lon_bc = lon[:, nx_east]
+        depth_bc = depth[:, nx_east]
+        AngleCS_bc = AngleCS[:, nx_east]
+        AngleSN_bc = AngleSN[:, nx_east]
+        print("Determining east boundary")
+    else:
+        print(f"No such selection: {cbdry}")
+        return
+
+    # Save boundary data to a python file
+
+    bdry_file = f"bdry_grid_{cbdry}.npy"
+    data = {
+    "lat_bc": lat_bc,
+    "lon_bc": lon_bc,
+    "depth_bc": depth_bc,
+    "AngleCS_bc": AngleCS_bc,
+    "AngleSN_bc": AngleSN_bc,
+    }
+    np.save(path_results / bdry_file, data)
+    print(bdry_file, "file saved in ", str(path_results))
+    if debug2:
+        loaded_array = np.load(
+            path_results / bdry_file, allow_pickle=True
+        ).item()
+    for name, arr in loaded_array.items():
+        print("loaded_array:\n", name, arr.shape)
+    # or_mat_file = sio.loadmat(path_grid + "bdry_grid_"+cbdry+".mat")
+    return
+
+
+def readbin(fnam, siz=(850, 664, 61), typ=1, prec="float32", skip=0, endian="big"):
+    """
+    Function to read N-D binary field from a file.
+
+    Parameters:
+    fnam  : str  - Input path and file name
+    siz   : tuple - Grid dimension (default (360, 224, 46))
+    typ   : int  - 0 for sequential FORTRAN, 1 for plain binary (default)
+    prec  : str  - Numeric precision (default 'float32')
+    skip  : int  - Records to skip before reading (default 0)
+    mform : str  - Machine format (default '<' for little-endian)
+
+    Returns:
+    fld   : np.ndarray - Output array of dimension siz
+
+    Example usage:
+    fld = readbin('data.bin', (360, 224, 46), 1, 'float32', 0, 'big')
+    """
+
+    dtype_map = {
+        "int8": np.int8,
+        "int16": np.int16,
+        "int32": np.int32,
+        "int64": np.int64,
+        "uint8": np.uint8,
+        "uint16": np.uint16,
+        "uint32": np.uint32,
+        "uint64": np.uint64,
+        "float32": np.float32,
+        "float64": np.float64,
+    }
+
+    dtype = dtype_map.get(prec, np.float32)
+    endian_map = {"big": ">", "little": "<"}
+
+    with open(fnam, "rb") as fid:
+        if skip > 0:
+            if typ == 0:
+                for _ in range(skip):
+                    _ = np.fromfile(
+                        fid, dtype=dtype
+                    )  # read_record() matlab function
+            else:
+                reclength = np.prod(siz) * dtype().itemsize
+                fid.seek(skip * reclength, 0)
+
+        if typ == 0:
+            tmp = np.fromfile(
+                fid, dtype=dtype
+            )  # read_record() matlab function
+        else:
+            tmp = np.fromfile(fid, dtype=dtype, count=np.prod(siz))
+
+    fld = tmp.reshape(siz)
+    return fld
+
+
+def main(path_results, path_grid, boundaries, grid_dims, endian):
+    # the script to generate bc grid files
+
+    # Grid
+    grid_dims = list(map(int, grid_dims))
+    nx = grid_dims[0]
+    ny = grid_dims[1]
+    nz = grid_dims[2]
+    print("Generating grid BC files, \n the grid size: ", nx, ny, nz)
+
+    print("From: \n ", path_grid)
+
+    path_results = Path(path_results).expanduser().resolve()
+    path_grid = Path(path_grid).expanduser().resolve()
+
+    path_results.mkdir(parents=True, exist_ok=True)
+
+    for cbdry in boundaries:
+        create_bc_grid(path_results, path_grid, cbdry, grid_dims, endian)
+        print(cbdry, "boundary created")
+
+if __name__ == "__main__":
+    # load default values from JSON (if exists)
+    default_config = {}
+    json_path = "tides_config.json"
+    if Path(json_path).exists():
+        with open(json_path) as f:
+            default_config = json.load(f)
+    # if present set up argparse that overrides JSON
+    parser = argparse.ArgumentParser(
+        description=(
+            "Script for preparing the bc grid for the tidal boundary\
+        condition for MITgcm (*.obcs)\ninputs can be provided by\
+        json dictionary and/or by command line,ls\nthese overide json inputs."
+        )
+    )
+
+    parser.add_argument(
+        "--path_results",
+        default=default_config.get("path_results"),
+        help="path where results will be saved",
+    )
+    parser.add_argument(
+        "--path_grid",
+        default=default_config.get("path_grid"),
+        help="path to MITgcm grid",
+    )
+    parser.add_argument(
+        "--boundaries",
+        nargs="+",  # accetta una lista di valori separati da spazio
+        default=default_config.get("boundaries"),
+        help="Boundaries where tides are implemented",
+        # Complete list boundaries ['n', 's', 'e', 'w']
+    )
+    parser.add_argument(
+        "--grid_dims",
+        nargs="+", # accetta una lista di valori separati da spazio
+        default=default_config.get("grid_dims"),
+        help="grid dimensions [nx, ny, nz]",
+    )
+    parser.add_argument(
+        "--binary_data_endianess",
+        default=default_config.get("binary_data_endianess"),
+        help="MITgcm binary data endianess",
+    )
+
+    args = parser.parse_args()
+    main(args.path_results, args.path_grid, args.boundaries, args.grid_dims, args.binary_data_endianess)
diff --git a/src/tides/set_bc_tides.py b/src/tides/set_bc_tides.py
new file mode 100755
index 0000000..677eabc
--- /dev/null
+++ b/src/tides/set_bc_tides.py
@@ -0,0 +1,562 @@
+import argparse
+import json
+import os
+from datetime import datetime as dt
+from pathlib import Path
+
+import julian
+import numpy as np
+import pyTMD
+from scipy.interpolate import interp1d
+
+
+def create_tide_bc_second(
+    path_results,
+    path_tides,
+    tide_model,
+    tide_num,
+    cbdry_used,
+    grid_dims,
+    time_nodal,
+    endian_val,
+):
+
+
+
+    """ "
+    Input: grid[0] the size of first dimension of MITgcm domain
+    grid[1] the size of second dimension of MITgcm domain
+    cbdry_used, cell array specify which boundary to add tidal
+    boundary condition,
+    {'s', 'n', 'w', 'e'}, South, North, West, and East
+    If there is no ocean points on one boundary, do not specify it.
+    Otherwise it will generate an error in interpolation.
+    For this case, use tide_bc_empty to generate a zero amplitude tide BC.
+    tide_num: tidal components to be included in tidal BC file
+    time_nodal: time for nodal correction
+    Output: Tidal boundary condition files will be generated with names like
+        OB[N,S,E,W][am,ph].seaice_obcs
+    Note:
+    1) The script will read boundary grid file bdry_grid_[swne].mat
+        generated by create_bc_grid.m
+    2) The script will use  CAT2008b to generate tidal bc files
+        with names like
+        OB[NSWE]am.seaice_obcs, for tidal current amplitude   (m/s)
+        OB[NSWE]ph.seaice_obcs, phase in seconds  (s)
+    3) The following ten  tidal constituents can be included
+              m2  s2  n2  k2  k1  o1  p1  q1 mf mm
+              1   2   3   4   5   6   7   8  9  10
+    4) The phase generated here inludes the Greenwich Phase of tidal
+        constituent, nodal correction term, and a time constant in order to use
+        nodal correction formula of CAT2008b
+        phase_in_second = ( tidal_period*phase_in_radian/2*pi - mitgcm_timec)
+    """
+
+    # Constants
+    sec_in_day = 86400
+    # not used c8 = 8,  c4 =4
+
+    # Dimension of Boundary files
+    NX = grid_dims[0]
+    NY = grid_dims[1]
+
+    # Set the Boundary to add tides
+    # AngleCS_bc, AngleSN_bc are the Cos and Sin and angle
+    # of U axis of MITgcm
+    # from due east
+
+    for c_bdry in cbdry_used:
+
+        bdry_file = path_results / f"bdry_grid_{c_bdry}.npy"
+        print(bdry_file)
+        data = np.load(bdry_file, allow_pickle=True).item()
+        for name, arr in data.items():
+            print("loaded_array:\n", name, arr.shape)
+            print(name, arr.shape,"min/max:", np.nanmin(arr), np.nanmax(arr))
+        lat_bc = data["lat_bc"]
+        lon_bc = data["lon_bc"]
+        depth_bc = data["depth_bc"]
+        AngleCS_bc = data["AngleCS_bc"]
+        AngleSN_bc = data["AngleSN_bc"]
+
+        boundary = c_bdry.upper()
+
+        OBlength = NX if boundary in ["N", "S"] else NY
+        print("\n --------------------------------------------------\n")
+        print(
+            "Computing Tidal forcing on boundary",
+            c_bdry,
+            "\n over a grid of lon size",
+            len(lon_bc),
+            "and lat size",
+            len(lat_bc),
+        )
+        ## Load tide model
+
+        # TMDwidgets = pyTMD.tools.widgets()
+        # TMDwidgets.directory.value = path_tides
+        # print("directory", TMDwidgets.directory.value)
+        # model = pyTMD.io.model(
+        #     TMDwidgets.directory.value, compressed=TMDwidgets.compress.value
+        # ).current(tide_model)
+
+        model = pyTMD.io.model(path_tides).current(tide_model)
+
+        ## Extract tidal constants for each constituent (harmonic constants)
+
+        # Returned phases are Greenwich phases or Greenwich phase lag (in degrees)
+        # pyTMD returns one value per boundary grid point for each constituent
+        # in tide_num. However some points are NaN and these NaNs can appear
+        # anywhere along the boundary. Because of this we later do intp_line_safe
+        uamp, upha, conlist0 = model.extract_constants(
+            lon_bc,
+            lat_bc,
+            type="U",
+            constituents=tide_num,
+            method="bilinear",
+            extrapolate="linear",
+        )
+        vamp, vpha, conlist0 = model.extract_constants(
+            lon_bc,
+            lat_bc,
+            type="V",
+            constituents=tide_num,
+            method="bilinear",
+            extrapolate="linear",
+        )
+
+        print("Tidal constants extracted in ", c_bdry, " boundary")
+
+        if uamp.shape[0] != len(tide_num):
+            uamp = np.transpose(uamp)
+            vamp = np.transpose(vamp)
+            upha = np.transpose(upha)
+            vpha = np.transpose(vpha)
+
+        ## Compute nodal corrections for each constituent at time_nodal
+        time0 = time_nodal
+        # print(time0.strftime("%j"))
+        # time1992 = dt(1992, 1, 1)
+        # time_diff = (time0 - time1992).days + 48622
+        # print("time0", time0)
+        # print("time1992", time1992)
+        # print("time diff", time_diff)
+
+        MJD = julian.to_jd(time0, fmt="mjd")
+
+        pu, pf, G = nodal(MJD, conlist0)
+
+        print("Nodal corrections in radians:\n", pu, "\n", pf)
+
+        ## Get constituent parametres
+
+        # amp     = np.zeros(len(tide_num))
+        ph      = np.zeros(len(conlist0))
+        omega   = np.zeros(len(conlist0))
+        # alpha   = np.zeros(len(tide_num))
+        # species = np.zeros(len(tide_num))
+
+        for i, c in enumerate(conlist0):
+            amp_c, ph_c, omega_c, alpha_c, species_c = pyTMD.arguments._constituent_parameters(c)
+
+            omega[i] = omega_c # rad/s
+            ph[i]    = ph_c # rad
+
+        period = 2*np.pi/omega #seconds
+
+        ## Loop over constituents
+
+        # create out arrays for all boundary points and all constituents data
+        L = NX if boundary in ['N','S'] else NY
+
+        amp_out = np.zeros((L, len(conlist0)))
+        pha_out_deg = np.zeros((L, len(conlist0)))
+        pha_out_sec = np.zeros((L, len(conlist0)))
+
+
+        print("Filling NaNs along the boundary and applying corrections for each constitutent")
+        for i, c in enumerate(conlist0):
+
+            coord_1d = np.arange(len(uamp[i,:]))
+
+            ua_c = intp_line_safe(uamp[i,:], coord_1d) # Fill NaNs along a 1-D boundary line
+            up_c = intp_line_safe(upha[i,:], coord_1d)
+            va_c = intp_line_safe(vamp[i,:], coord_1d)
+            vp_c = intp_line_safe(vpha[i,:], coord_1d)
+
+            # Apply nodal correction
+            # Tidal prediction in MItgcm will be:
+            # pf*amp*cos[omega(t-time0+time0-time1992) -(pha - ph - pu)], where pha-ph-pu
+            # will be the phase output from this script that we will give to the MITgcm
+
+            ua_c *= pf[0,i] #dims of pf are= 1,len(tide_num), 1 because we only calculate nodal corrections for one
+            va_c *= pf[0,i]
+            up_c = np.deg2rad(up_c) - ph[i] - pu[0,i]
+            vp_c = np.deg2rad(vp_c) - ph[i] - pu[0,i]
+
+            up_c = np.rad2deg(up_c)
+            vp_c = np.rad2deg(vp_c)
+
+            # depth normalized velocities
+            ua_c /= depth_bc
+            va_c /= depth_bc
+
+            # rotate into model grid
+            ua_cr, up_cr, va_cr, vp_cr = tide_rot(ua_c, up_c, va_c, vp_c, AngleCS_bc, AngleSN_bc)
+
+            # save data in these arrays
+            time1992 = dt(1992, 1, 1)
+            mitgcm_timec = (time_nodal - time1992).days * sec_in_day
+
+            if boundary in ["N", "S"]:
+                amp_out[:, i] = va_cr
+                pha_out_deg[:,i] = vp_cr
+                pha_out_sec[:, i] = (period[i] * np.deg2rad(vp_cr) / (2 * np.pi)- mitgcm_timec)
+            else:
+                amp_out[:, i] = ua_cr
+                pha_out_deg[:,i] = up_cr
+                pha_out_sec[:, i] = (period[i] * np.deg2rad(up_cr) / (2 * np.pi)- mitgcm_timec)
+
+        amp_out[np.isnan(amp_out)] = 0
+        pha_out_deg[np.isnan(pha_out_deg)] = 0
+        pha_out_sec[np.isnan(pha_out_sec)] = 0
+
+        print("Saving results for each constitutent")
+
+        fname_lon = "data_lon_" + c_bdry + ".npy"
+        fname_lat = "data_lat_" + c_bdry + ".npy"
+        fname_depth = "data_depth_" + c_bdry + ".npy"
+        fname_am_all = "data_am_all_" + c_bdry + ".npy"
+        fname_ph_all = "data_ph_all_" + c_bdry + ".npy"
+        fname_ph_all_deg = "data_ph_all_deg_" + c_bdry + ".npy"
+
+
+        np.save(path_results / fname_lon, lon_bc)
+        np.save(path_results / fname_lat, lat_bc)
+        np.save(path_results / fname_depth, depth_bc)
+
+        np.save(path_results / fname_am_all, amp_out)
+        np.save(path_results / fname_ph_all, pha_out_sec)
+        np.save(path_results / fname_ph_all_deg, pha_out_deg)
+
+        fld = ["am", "ph"]
+        cfld = fld[0]
+        fnm = path_results / f"OB{boundary}{cfld}_med.tide_obcs"
+        writebin(str(fnm), amp_out, endian=endian_val)
+
+        cfld = fld[1]
+        fnm = path_results / f"OB{boundary}{cfld}_med.tide_obcs"
+        writebin(str(fnm), pha_out_sec, endian=endian_val)
+
+    return True
+
+
+def tide_rot(ua_c, up_c, va_c, vp_c, angleCS, angleSN):
+    """
+    Rotate tidal current parameter from NS and EW to a new coordinate
+    defined by angleCS and angleSN
+    Input:
+       ua_c, up_c(in deg)
+       va_c, vp_c(in deg)
+       AngleCS  angleSN:  cos(alpha), sin(alpha);
+       alpha is the angle between new coordinate (ua_cr, va_cr)
+       and due east
+    Output:
+        ua_cr, up_cr(in deg)
+        va_cr, vp_cr(in deg);
+    Both input and output are assumed (1 L) array "
+    """
+    # Convert degrees to radians
+    up_c = np.deg2rad(up_c)
+    vp_c = np.deg2rad(vp_c)
+
+    # Calculate the new u-component amplitude and phase
+    u1_p1 = ua_c * angleCS * np.cos(
+        up_c
+    ) + va_c * angleSN * np.cos(vp_c)
+    u1_p2 = ua_c* angleCS * np.sin(
+        up_c
+    ) + va_c * angleSN * np.sin(vp_c)
+
+    ua_cr = np.sqrt(u1_p1**2 + u1_p2**2)
+
+    # sin1 = u1_p2 / ua_cr
+    # cos1 = u1_p1 / ua_cr
+    # up_cr = np.arctan2(sin1, cos1)
+    # up_cr = np.rad2deg(up_cr)
+    up_cr = np.zeros_like(ua_cr)
+    mask = ua_cr > 0 # To ensure that we do not divide by 0
+    up_cr[mask] = np.rad2deg(np.arctan2(u1_p2[mask], u1_p1[mask]))
+
+    # Calculate the new v-component amplitude and phase
+    v1_p1 = -ua_c * angleSN * np.cos(
+        up_c
+    ) + va_c * angleCS * np.cos(vp_c)
+    v1_p2 = -ua_c * angleSN * np.sin(
+        up_c
+    ) + va_c * angleCS * np.sin(vp_c)
+    va_cr = np.sqrt(v1_p1**2 + v1_p2**2)
+    # sin1 = v1_p2 / va_cr
+    # cos1 = v1_p1 / va_cr
+    # vp_cr = np.arctan2(sin1, cos1)
+    # vp_cr = np.rad2deg(vp_cr)
+    vp_cr = np.zeros_like(va_cr)
+    mask = va_cr > 0 # To ensure that we do not divide by 0
+    vp_cr[mask] = np.rad2deg(np.arctan2(v1_p2[mask], v1_p1[mask]))
+
+    # Return the new amplitudes and phases
+    return ua_cr, up_cr, va_cr, vp_cr
+
+
+def nodal(MJD, conlist):
+    """
+    function to compute nodal corrections for tidal constituents
+    USAGE:
+    [pu,pf,G]=nodal(MJD,tide_num)
+    PARAMETERS:
+    MJD: Modified Julian Date
+    tide_num: list of tidal constituents
+    OUTPUT:
+    pu, pf: nodal corrections for the constituents
+    G: phase correction in degrees
+    """
+    pu, pf, G = pyTMD.arguments.arguments(
+        MJD, conlist)  # pu in radians and G in degrees
+    return pu, pf, G
+
+
+def intp_line_safe(values, coord):
+    """
+    Fill NaNs along a 1-D boundary line
+    Input:  values, has NaN, coord=index of values
+    Output: values_int, does not have Nan
+    """
+    # Identify the indices of bad (NaN or infinite) and good
+    # (finite) values in utide
+    badp = ~np.isfinite(values)
+    goodp = np.isfinite(values)
+
+    if np.sum(goodp) < 2:
+        return np.zeros_like(values)
+
+    # Perform linear interpolation for bad values using good values
+    f = interp1d(
+        coord[goodp], values[goodp], kind="linear", fill_value="extrapolate"
+    )
+
+    values_int = values.copy()
+    values_int[badp] = f(coord[badp]) #Fill missing points by loooking at neighboring points
+    return values_int
+
+
+def tide_bc_empty(grid, cbdry_used, tide_num, path_results, endian_val):
+    """
+    Make a dummy tidal boundary condition based on the size of nx and ny
+    with zero amplitude and phase.
+     Input: nx, first   dimension of MITgcm
+            ny, second  dimension of MITgcm
+            tide_num, used to decide the dimension of boundary bc file
+            [length, num of tidal constituent]
+            cddry_used, boundary {'s', 'n', 'w', 'e'} to generate empty
+            tidal bc file
+    tide_num[nc<10], Which tide to include,
+                    m2  s2  n2  k2  k1  o1  p1  q1  mf  mm
+                    1   2   3   4   5   6   7   8   9   10
+    OB[N,S,E,W][am,ph]File :: Files with boundary conditions,
+    the letter combinations mean:
+              N/S/E/W   :: northern/southern/eastern/western boundary
+              am/ph     :: tidal amplitude (m/s) / radian
+    # Example usage
+    nx = 50  # Example dimension
+    ny = 60  # Example dimension
+    cbdry_used = ['s', 'n', 'e', 'w']
+    tide_num = [1, 2, 3, 4]  # Example tide numbers
+    tide_bc_empty(nx, ny, cbdry_used, tide_num)
+    """
+    # Set the Boundary to add tides
+    print("---> Preparing empty", cbdry_used, "boundary")
+    # Iterate over boundary conditions
+    for c_bdry in cbdry_used:
+        c_bdry = c_bdry.upper()
+
+        # Define boundary lengths
+        if c_bdry in ["N", "S"]:
+            OBlength = grid[0]
+        else:
+            OBlength = grid[1]
+
+        # Initialize amplitude and phase arrays
+        amp_out = np.zeros((OBlength, len(tide_num)))
+        pha_out_sec = np.zeros((OBlength, len(tide_num)))
+
+        # Write amplitude file
+        amp_filename = path_results / f"OB{c_bdry}am_med.tide_obcs"
+        writebin(str(amp_filename), amp_out, endian=endian_val)
+
+        # Write phase file
+        ph_filename = path_results / f"OB{c_bdry}ph_med.tide_obcs"
+        writebin(str(ph_filename), pha_out_sec, endian=endian_val)
+    return
+
+def writebin(fnam, fld, prec="float32", endian="big", skip=0, typ=1):
+    """
+    Write N-D binary field to a file.
+
+    Parameters
+    ----------
+    fnam : str
+        Output file name
+    fld : ndarray
+        Data to write
+    prec : str
+        Precision ('float32', 'float64', ...)
+    endian : str
+        'big' or 'little'
+    skip : int
+        Number of records to skip
+    typ : int
+        1 = plain binary (MITgcm style)
+        0 = sequential FORTRAN (NOT implemented)
+    """
+
+    if typ != 1:
+        raise NotImplementedError("Sequential FORTRAN (typ=0) not supported")
+
+    endian_map = {"big": ">", "little": "<"}
+    prec_map = {
+        "float32": "f4",
+        "float64": "f8",
+        "int16": "i2",
+        "int32": "i4",
+        "int64": "i8",
+    }
+
+    if endian not in endian_map:
+        raise ValueError("endian must be 'big' or 'little'")
+    if prec not in prec_map:
+        raise ValueError(f"Unsupported precision: {prec}")
+
+    dtype = np.dtype(endian_map[endian] + prec_map[prec])
+    fld = np.asarray(fld, dtype=dtype)
+
+    mode = "r+b" if os.path.exists(fnam) else "wb"
+
+    with open(fnam, mode) as f:
+        if skip > 0:
+            f.seek(skip * fld.size * dtype.itemsize, 0)
+        f.write(fld.tobytes())
+
+
+def main(path_results, path_tides, tide_model, constituents, boundaries, grid_dims, endianess):
+    print("\n-----------------------------------------------------")
+    print(f"Results path:          {path_results}")
+    print(f"Tidal hc data path:    {path_tides}")
+    print(f"Tidal model of hc data:{tide_model}")
+    print(f"Constituents:          {constituents}")
+    print(f"Boundaries:            {boundaries}")
+    print(f"Grid dimensions:       {grid_dims}")
+    print(f"MITgcm data endianess: {endianess}")
+    print("\n-----------------------------------------------------")
+    print("\nCreating MITgcm Tidal BC")
+
+    # Time for nodal correction
+    time_nodal = dt(1979, 1, 1, 0, 0, 0)
+    print("Nodal time", time_nodal, julian.to_jd(time_nodal, fmt="jd"))
+
+    bnd_list = ["n", "s", "w", "e"]
+    cbdry_empty = [c for c in bnd_list if c not in boundaries]
+    grid_dims = list(map(int, grid_dims))
+
+    path_results = Path(path_results).expanduser().resolve()
+    path_tides = Path(path_tides).expanduser().resolve()
+
+    # check empty lists
+    if boundaries:
+        print("Domain sides", boundaries, "with constituents", constituents)
+        create_tide_bc_second(
+            path_results,
+            path_tides,
+            tide_model,
+            constituents,
+            boundaries,
+            grid_dims,
+            time_nodal,
+            endianess,
+        )
+
+    if cbdry_empty:
+        # Create a dummy boundary condition file for eastern
+        # and northern boundary
+        print("Empty boundaries", cbdry_empty)
+        tide_bc_empty(grid_dims, cbdry_empty, constituents, path_results, endianess)
+
+
+if __name__ == "__main__":
+    # load default values from JSON (if exists)
+    default_config = {}
+    json_path = "tides_config.json"
+    if Path(json_path).exists():
+        with open(json_path) as f:
+            default_config = json.load(f)
+    # if present set up argparse that overrides JSON
+    parser = argparse.ArgumentParser(
+        description="Script for creating tidal boundary condition\
+        for MITgcm (*.obcs)\ninputs can be provided by json dictionary\
+        and/or by command line,ls\nthese overide json inputs."
+    )
+    subparsers = parser.add_subparsers(title="subcommand", dest="subcommand")
+    parser.add_argument(
+        "--path_results",
+        default=default_config.get("path_results"),
+        help=(
+            "path to the folder where results are saved and where the results of\
+            set_bc_grid have been saved"
+        ),
+    )
+    parser.add_argument(
+        "--path_tide_hc_data",
+        default=default_config.get("path_tide_hc_data"),
+        help=("path to the folder containing tide hc data"),
+    )
+    parser.add_argument(
+        "--tide_model",
+        default=default_config.get("tide_model"),
+        help=("name of the tide model"),
+    )
+
+    parser.add_argument(
+        "--constituents",
+        nargs="+",  # accetta una lista di valori separati da spazio
+        default=default_config.get("constituents"),
+        help=("Constituent list"),
+    )
+    parser.add_argument(
+        "--boundaries",
+        nargs="+",  # accetta una lista di valori separati da spazio
+        default=default_config.get("boundaries"),
+        help=("Boundary list where tides have to be added"),
+    )
+    parser.add_argument(
+        "--grid_dims",
+        nargs="+",  # accetta una lista di valori separati da spazio
+        default=default_config.get("grid_dims"),
+        help="number of grid points in each dimension (longitude, latitude, depth): nx, ny, nz",
+    )
+    parser.add_argument(
+        "--binary_data_endianess",
+        default=default_config.get("binary_data_endianess"),
+        help="MITgcm binary data endianess",
+    )
+
+
+    args = parser.parse_args()
+
+    main(
+        args.path_results,
+        args.path_tide_hc_data,
+        args.tide_model,
+        args.constituents,
+        args.boundaries,
+        args.grid_dims,
+        args.binary_data_endianess,
+    )
diff --git a/src/tides/tides_config.json b/src/tides/tides_config.json
new file mode 100644
index 0000000..1ea3bad
--- /dev/null
+++ b/src/tides/tides_config.json
@@ -0,0 +1,10 @@
+{
+  "path_results": "/path/Resulting_NWMed_tide_files/",
+  "path_tide_hc_data": "/path/",
+  "path_grid": "/path/MITgcm_NWMed_grid/",
+  "tide_model": "TPXO10-atlas-v2",
+  "constituents":["m2", "s2", "n2", "k2", "k1", "o1", "p1", "q1"],
+  "boundaries":["s", "e"],
+  "grid_dims":[850,664,61],
+  "binary_data_endianess":"little"
+}