meteodata-lab#

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WARNING:

This project is in BETA and under active development. Interfaces and functionality are subject to change.

Meteodata-lab is a NumPy/Xarray-based Python library for processing and analyzing gridded meteorological data. It supports GRIB (read/write) and is tailored to common workflows that require data interpolation, regridding to custom grids (e.g., Swiss grid or rotated lat/lon), and the computation of advanced meteorological fields. One of the key features of meteodata-lab is its use of operators that ensure the integrity of GRIB metadata is maintained throughout processing, allowing for consistent writing back to GRIB format.

Installation#

For Users#

To install the latest release from PyPI:

pip install meteodata-lab

Optional Extras#

To install optional extras:

pip install "meteodata-lab[polytope,regrid]"

Note: The fdb extra is currently disabled because its dependency pyfdb is not available on PyPI. As an alternative the development setup can be used.

For Contributors#

To set up the project for local development (e.g. for contributing code or testing changes), follow these steps:

If you don’t have write access, first fork the repository on GitHub, then clone your fork:
```
git clone git@github.com:your-username/meteodata-lab.git
```
If you do have write access, you can clone the main repository directly:
```
git clone git@github.com:MeteoSwiss/meteodata-lab.git
```
Navigate to the project directory and run the setup script:
```
cd meteodata-lab
./scripts/setup_poetry.sh
```
This will install Poetry (if not already available), set up the virtual environment, and install all dependencies with extras.

You can find more information about contributing to meteodata-lab at our Contributing page.

Documentation#

Learn more about meteodata-lab in its official documentation at meteoswiss.github.io/meteodata-lab/.

Try out interactive Juypter notebooks