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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.
This package has been developped by Philipp S. Sommer and Jed O. Kaplan.
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.
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.
| [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 |