Description:
gwgen 1.0.3
tests
package
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.
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.
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.
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
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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