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Downloading, reading and TS conversion of ECMWF reanalysis data

Project description


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Readers and converters for data from the `ECMWF reanalysis models
<>`_. Written in Python.

Works great in combination with `pytesmo <>`_.


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If you use the software in a publication then please cite it using the Zenodo DOI.
Be aware that this badge links to the latest package version.

Please select your specific version at to get the DOI of that version.
You should normally always use the DOI for the specific version of your record in citations.
This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at


Install required C-libraries via conda. For installation we recommend
`Miniconda<>`_. So please install it according
to the official installation instructions. As soon as you have the ``conda``
command in your shell you can continue.

.. code::

conda install -c conda-forge pygrib netcdf4=1.2.2

The following command will download and install all the needed pip packages as well
as the ecmwf-model package itself.

.. code::

pip install ecmwf_models

To create a full development environment with conda, the environment.yml file
in this repository can be used.

.. code::

git clone ecmwf_models
cd ecmwf_models
conda create -n ecmwf-models python=2.7 # or any other supported version
conda env update -f environment.yml
source activate ecmwf-models
python develop

This script should work on Linux or OSX and uses the ``environment.yml`` file
included in this repository. On Windows the reading of grib files is not
available at the moment. On Windows a solution would be to download the ECMWF
data in netCDF format instead.

Supported Products

This version supports the following products:

- ERA-Interim
- ERA5


We are happy if you want to contribute. Please raise an issue explaining what
is missing or if you find a bug. We will also gladly accept pull requests
against our master branch for new features or bug fixes.

Development setup

For Development we also recommend the ``conda`` environment from the
installation part.


If you want to contribute please follow these steps:

- Fork the ecmwf_models repository to your account
- make a new feature branch from the ecmwf_models master branch
- Add your feature
- please include tests for your contributions in one of the test directories
We use py.test so a simple function called test_my_feature is enough
- submit a pull request to our master branch

Project details

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