Metadata-Version: 1.1
Name: gwgen
Version: 1.0.3
Summary: A global weather generator for daily data
Home-page: https://github.com/ARVE-Research/gwgen
Author: Philipp Sommer
Author-email: philipp.sommer@unil.ch
License: GPLv2
Description: GWGEN: A global weather generator for daily data
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        .. start-badges
        
        .. list-table::
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            * - tests
              - |travis| |coveralls|
            * - package
              - |version| |supported-versions| |supported-implementations|
        
        .. |travis| image:: https://travis-ci.org/ARVE-Research/gwgen.svg?branch=master
            :alt: Travis
            :target: https://travis-ci.org/ARVE-Research/gwgen
        
        .. |coveralls| image:: https://coveralls.io/repos/github/ARVE-Research/gwgen/badge.svg?branch=master
            :alt: Coverage
            :target: https://coveralls.io/github/ARVE-Research/gwgen?branch=master
        
        .. |version| image:: https://img.shields.io/pypi/v/gwgen.svg?style=flat
            :alt: PyPI Package latest release
            :target: https://pypi.python.org/pypi/gwgen
        
        .. |supported-versions| image:: https://img.shields.io/pypi/pyversions/gwgen.svg?style=flat
            :alt: Supported versions
            :target: https://pypi.python.org/pypi/gwgen
        
        .. |supported-implementations| image:: https://img.shields.io/pypi/implementation/gwgen.svg?style=flat
            :alt: Supported implementations
            :target: https://pypi.python.org/pypi/gwgen
        
        .. end-badges
        
        
        Welcome! This synthesis of FORTRAN and Python is a globally applicable
        weather generator inspired by the original WGEN weather generator of
        [Richardson1981]_ and parameterized through a global dataset of [GHCN]_ and
        [EECRA]_ data. A paper with the scientific documentation is in progress, the
        `technical documentation`_ with more information is hosted on github.io.
        
        .. _technical documentation: https://arve-research.github.io/gwgen/
        
        
        Authors
        -------
        This package has been developped by `Philipp S. Sommer`_ and `Jed O. Kaplan`_.
        
        Citing GWGEN
        ------------
        When using GWGEN, we kindly ask you to provide a reference to the corresponding
        paper published in Geoscientific Model Development:
        
            Sommer, P. S. and Kaplan, J. O.: *A globally calibrated scheme for
            generating daily meteorology from monthly statistics: Global-WGEN (GWGEN)
            v1.0*, Geosci. Model Dev., 10, 3771-3791, DOI: `10.5194/gmd-10-3771-2017`_,
            2017.
        
        .. _10.5194/gmd-10-3771-2017: https://doi.org/10.5194/gmd-10-3771-2017
        
        
        Acknowledgements
        ----------------
        This work was supported by the European Research Council (COEVOLVE, 313797) and
        the Swiss National Science Foundation (ACACIA, CR10I2\_146314). We thank
        `Shawn Koppenhoefer`_ for assistance compiling and querying the weather databases and
        Alexis Berne and Grégoire Mariéthoz for helpful suggestions on the analyses. We
        are grateful to NOAA NCDC and the University of Washingtion for providing free
        of charge the GHCN-Daily and EECRA databases, respectively.
        
        .. _Philipp S. Sommer: https://github.com/Chilipp
        .. _Jed O. Kaplan: https://github.com/jedokaplan
        .. _Shawn Koppenhoefer: http://arve.unil.ch/people/shawn-koppenhoefer/
        
        
        References
        ----------
        .. [Richardson1981] Richardson, C. W.: *Stochastic simulation of daily
            precipitation, temperature, and solar radiation*, Water Resources Research,
            17, 182–190, doi:10.1029/WR017i001p00182, 1981.
        .. [GHCN] T. G.: Global Historical Climatology Network - Daily (GHCN-Daily),
            Version 3.22, doi:10.7289/V5D21VHZ, doi:10.7289/V5D21VHZ, 2012
        .. [EECRA] Hahn, C. and Warren, S.: *Extended Edited Synoptic Cloud Reports from
            Ships and Land Stations Over the Globe*, 1952-1996 (with Ship data
            updated through 2008), doi:10.3334/CDIAC/cli.ndp026c, 1999
        
Keywords: wgen weathergen ghcn eecra richardson geng
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
