{ "info": { "author": "Philipp Sommer", "author_email": "philipp.sommer@unil.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v2 (GPLv2)", "Operating System :: MacOS", "Operating System :: Unix", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Physics" ], "description": "GWGEN: A global weather generator for daily data\n================================================\n\n\n.. start-badges\n\n.. list-table::\n :stub-columns: 1\n :widths: 10 90\n\n * - tests\n - |travis| |coveralls|\n * - package\n - |version| |supported-versions| |supported-implementations|\n\n.. |travis| image:: https://travis-ci.org/ARVE-Research/gwgen.svg?branch=master\n :alt: Travis\n :target: https://travis-ci.org/ARVE-Research/gwgen\n\n.. |coveralls| image:: https://coveralls.io/repos/github/ARVE-Research/gwgen/badge.svg?branch=master\n :alt: Coverage\n :target: https://coveralls.io/github/ARVE-Research/gwgen?branch=master\n\n.. |version| image:: https://img.shields.io/pypi/v/gwgen.svg?style=flat\n :alt: PyPI Package latest release\n :target: https://pypi.python.org/pypi/gwgen\n\n.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/gwgen.svg?style=flat\n :alt: Supported versions\n :target: https://pypi.python.org/pypi/gwgen\n\n.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/gwgen.svg?style=flat\n :alt: Supported implementations\n :target: https://pypi.python.org/pypi/gwgen\n\n.. end-badges\n\n\nWelcome! This synthesis of FORTRAN and Python is a globally applicable\nweather generator inspired by the original WGEN weather generator of\n[Richardson1981]_ and parameterized through a global dataset of [GHCN]_ and\n[EECRA]_ data. A paper with the scientific documentation is in progress, the\n`technical documentation`_ with more information is hosted on github.io.\n\n.. _technical documentation: https://arve-research.github.io/gwgen/\n\n\nAuthors\n-------\nThis package has been developped by `Philipp S. Sommer`_ and `Jed O. Kaplan`_.\n\nCiting GWGEN\n------------\nWhen using GWGEN, we kindly ask you to provide a reference to the corresponding\npaper published in Geoscientific Model Development:\n\n Sommer, P. S. and Kaplan, J. O.: *A globally calibrated scheme for\n generating daily meteorology from monthly statistics: Global-WGEN (GWGEN)\n v1.0*, Geosci. Model Dev., 10, 3771-3791, DOI: `10.5194/gmd-10-3771-2017`_,\n 2017.\n\n.. _10.5194/gmd-10-3771-2017: https://doi.org/10.5194/gmd-10-3771-2017\n\n\nAcknowledgements\n----------------\nThis work was supported by the European Research Council (COEVOLVE, 313797) and\nthe Swiss National Science Foundation (ACACIA, CR10I2\\_146314). We thank\n`Shawn Koppenhoefer`_ for assistance compiling and querying the weather databases and\nAlexis Berne and Gr\u00e9goire Mari\u00e9thoz for helpful suggestions on the analyses. We\nare grateful to NOAA NCDC and the University of Washingtion for providing free\nof charge the GHCN-Daily and EECRA databases, respectively.\n\n.. _Philipp S. Sommer: https://github.com/Chilipp\n.. _Jed O. Kaplan: https://github.com/jedokaplan\n.. _Shawn Koppenhoefer: http://arve.unil.ch/people/shawn-koppenhoefer/\n\n\nReferences\n----------\n.. [Richardson1981] Richardson, C. W.: *Stochastic simulation of daily\n precipitation, temperature, and solar radiation*, Water Resources Research,\n 17, 182\u2013190, doi:10.1029/WR017i001p00182, 1981.\n.. [GHCN] T. G.: Global Historical Climatology Network - Daily (GHCN-Daily),\n Version 3.22, doi:10.7289/V5D21VHZ, doi:10.7289/V5D21VHZ, 2012\n.. 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