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        "author_email": "christoph.paulik@geo.tuwien.ac.at",
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        "description": "=====\ngldas\n=====\n\n.. image:: https://travis-ci.org/TUW-GEO/gldas.svg?branch=master\n    :target: https://travis-ci.org/TUW-GEO/gldas\n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/gldas/badge.svg?branch=master\n   :target: https://coveralls.io/github/TUW-GEO/gldas?branch=master\n\n.. image:: https://badge.fury.io/py/gldas.svg\n    :target: http://badge.fury.io/py/gldas\n\n.. image:: https://readthedocs.org/projects/gldas/badge/?version=latest\n   :target: http://gldas.readthedocs.org/\n\nReaders and converters for data from the `GLDAS Noah Land Surface Model\n<http://disc.sci.gsfc.nasa.gov/services/grads-gds/gldas>`_. Written in Python.\n\nWorks great in combination with `pytesmo <https://github.com/TUW-GEO/pytesmo>`_.\n\nCitation\n========\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596427.svg\n   :target: https://doi.org/10.5281/zenodo.596427\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.596427 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\nSetup of a complete environment with `conda\n<http://conda.pydata.org/miniconda.html>`_ can be performed using the following\ncommands:\n\n.. code-block:: shell\n\n  conda create -n gldas python=2.7 # or any other supported python version\n  source activate gldas\n\n.. code-block:: shell\n\n  # Either install required conda packages manually\n  conda install -c conda-forge numpy netCDF4 pyproj pygrib\n  # Or use the provided environment file to install all dependencies\n  conda env update -f environment.yml\n\n.. code-block:: shell\n\n  # Install the gldas package and pip-dependencies\n  pip install gldas\n\nThis will also try to install pygrib for reading the GLDAS grib files. If this\ndoes not work then please consult the `pygrib manual\n<http://jswhit.github.io/pygrib/docs/>`_.\n\n.. note::\n\n   Reading grib files does not work on Windows as far as we know. It might be\n   possible to compile the ECMWF C library but we have not done it yet.\n\nSupported Products\n==================\n\nAt the moment this package supports GLDAS Noah data version 1 in grib\nformat (reading, time series creation) and GLDAS Noah data version 2.0 and version 2.1 in netCDF format (download, reading, time series creation) with a spatial sampling of 0.25 degrees.\nIt should be easy to extend the package to support other GLDAS based products.\nThis will be done as need arises.\n\nDownloading Products\n====================\n\nIn order to download GLDAS NOAH products you have to register an account with\nNASA's Earthdata portal. Instructions can be found `here\n<http://disc.sci.gsfc.nasa.gov/registration/registration-for-data-access>`_.\n\nAfter that you can use the command line program ``gldas_download``.\n\n.. code::\n\n   mkdir ~/workspace/gldas_data\n   gldas_download ~/workspace/gldas_data\n\nwould download GLDAS Noah version 2.0 in 0.25 degree sampling into the folder\n``~/workspace/gldas_data``. For more options run ``gldas_download -h``.\n\nContribute\n==========\n\nWe 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.\n\nDevelopment setup\n-----------------\n\nFor Development we also recommend a ``conda`` environment. You can create one\nincluding test dependencies and debugger by running\n``conda env create -f environment.yml``. This will create a new ``gldas``\nenvironment which you can activate by using ``source activate gldas``.\n\nGuidelines\n----------\n\nIf you want to contribute please follow these steps:\n\n- Fork the gldas repository to your account\n- Clone the repository, make sure you use ``git clone --recursive`` to also get the test data repository.\n- make a new feature branch from the gldas master branch\n- Add your feature\n- 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\n- submit a pull request to our master branch\n\nNote\n====\n\nThis project has been set up using PyScaffold 2.5.6. For details and usage\ninformation on PyScaffold see http://pyscaffold.readthedocs.org/.",
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