Metadata-Version: 2.1
Name: ecmwf_models
Version: 0.4
Summary: Downloading, reading and TS conversion of ECMWF reanalysis data
Home-page: http://www.github.com/TUW-GEO/ecmwf_models
Author: Christoph Paulik
Author-email: christoph.paulik@geo.tuwien.ac.at
License: mit
Description: ============
        ecmwf_models
        ============
        
        .. image:: https://travis-ci.org/TUW-GEO/ecmwf_models.svg?branch=master
            :target: https://travis-ci.org/TUW-GEO/ecmwf_models
        
        .. image:: https://coveralls.io/repos/github/TUW-GEO/ecmwf_models/badge.svg?branch=master
           :target: https://coveralls.io/github/TUW-GEO/ecmwf_models?branch=master
        
        .. image:: https://badge.fury.io/py/ecmwf_models.svg
            :target: http://badge.fury.io/py/ecmwf_models
        
        .. image:: https://readthedocs.org/projects/ecmwf_models/badge/?version=latest
           :target: http://ecmwf_models.readthedocs.org/
        
        Readers and converters for data from the `ECMWF reanalysis models
        <http://apps.ecmwf.int/datasets/>`_. Written in Python.
        
        Works great in combination with `pytesmo <https://github.com/TUW-GEO/pytesmo>`_.
        
        Citation
        ========
        
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.593533.svg
           :target: https://doi.org/10.5281/zenodo.593533
        
        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 https://doi.org/10.5281/zenodo.593533 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 http://help.zenodo.org/#versioning
        
        Installation
        ============
        
        Install required C-libraries via conda. For installation we recommend
        `Miniconda<http://conda.pydata.org/miniconda.html>`_. 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 git@github.com:TUW-GEO/ecmwf_models.git 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 setup.py 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
        
        Contribute
        ==========
        
        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.
        
        Guidelines
        ----------
        
        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
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Provides-Extra: test
