{ "info": { "author": "Christoph Paulik", "author_email": "christoph.paulik@geo.tuwien.ac.at", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Programming Language :: Python" ], "description": "============\necmwf_models\n============\n\n.. image:: https://travis-ci.org/TUW-GEO/ecmwf_models.svg?branch=master\n :target: https://travis-ci.org/TUW-GEO/ecmwf_models\n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/ecmwf_models/badge.svg?branch=master\n :target: https://coveralls.io/github/TUW-GEO/ecmwf_models?branch=master\n\n.. image:: https://badge.fury.io/py/ecmwf-models.svg\n :target: https://badge.fury.io/py/ecmwf-models\n\n.. image:: https://readthedocs.org/projects/ecmwf-models/badge/?version=latest\n :target: https://ecmwf-models.readthedocs.io/en/latest/\n\nReaders and converters for data from the `ECMWF reanalysis models\n`_. Written in Python.\n\nWorks great in combination with `pytesmo `_.\n\nCitation\n========\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.593533.svg\n :target: https://doi.org/10.5281/zenodo.593533\n\nIf you use the software in a publication then please cite it using the Zenodo DOI.\nBe aware that this badge links to the latest package version.\n\nPlease select your specific version at https://doi.org/10.5281/zenodo.593533 to get the DOI of that version.\nYou should normally always use the DOI for the specific version of your record in citations.\nThis is to ensure that other researchers can access the exact research artefact you used for reproducibility.\n\nYou can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning\n\nInstallation\n============\n\nInstall required C-libraries via conda. For installation we recommend\n`Miniconda `_. So please install it according\nto the official installation instructions. As soon as you have the ``conda``\ncommand in your shell you can continue:\n\n.. code::\n\n conda install -c conda-forge pandas pygrib netcdf4 scipy pyresample xarray\n\nThe following command will download and install all the needed pip packages as well\nas the ecmwf-model package itself.\n\n.. code::\n\n pip install ecmwf_models\n\nTo create a full development environment with conda, the environment.yml file\nin this repository can be used.\n\n.. code::\n\n git clone git@github.com:TUW-GEO/ecmwf_models.git ecmwf_models\n cd ecmwf_models\n conda create -n ecmwf-models python=2.7 # or any other supported version\n source activate ecmwf-models\n conda env update -f environment.yml\n python setup.py develop\n\nThis script should work on Linux or OSX and uses the ``environment.yml`` file\nincluded in this repository. On Windows the reading of grib files is not\navailable at the moment. On Windows a solution would be to download the ECMWF\ndata in netCDF format instead.\n\nSupported Products\n==================\n\nAt the moment this package supports\n\n- **ERA Interim** (deprecated)\n- **ERA5**\n- **ERA5-Land** \n\nreanalysis data in **grib** and **netcdf** format (download, reading, time series creation) with a default spatial\nsampling of 0.75 degrees (ERA Interim), 0.25 degrees (ERA5), resp. 0.1 degrees (ERA5-Land).\nIt should be easy to extend the package to support other ECMWF reanalysis products.\nThis will be done as need arises.\n\nContribute\n==========\n\nWe are happy if you want to contribute. Please raise an issue explaining what\nis missing or if you find a bug. 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