Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3771-2017
https://doi.org/10.5194/gmd-10-3771-2017
Model description paper
 | 
16 Oct 2017
Model description paper |  | 16 Oct 2017

A globally calibrated scheme for generating daily meteorology from monthly statistics: Global-WGEN (GWGEN) v1.0

Philipp S. Sommer and Jed O. Kaplan

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Philipp S. Sommer on behalf of the Authors (28 Jul 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (28 Jul 2017) by Chiel van Heerwaarden
RR by Anonymous Referee #1 (22 Aug 2017)
ED: Reconsider after major revisions (22 Aug 2017) by Chiel van Heerwaarden
AR by Philipp S. Sommer on behalf of the Authors (24 Aug 2017)  Manuscript 
ED: Publish subject to minor revisions (Editor review) (25 Aug 2017) by Chiel van Heerwaarden
AR by Philipp S. Sommer on behalf of the Authors (29 Aug 2017)  Author's response   Manuscript 
ED: Publish as is (07 Sep 2017) by Chiel van Heerwaarden
AR by Philipp S. Sommer on behalf of the Authors (14 Sep 2017)  Author's response   Manuscript 
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Short summary
We present GWGEN, a computer program for converting monthly climate data into estimates of daily weather, using statistical methods. The GWGEN weather generator program was developed using a global database of more than 5 million observations of daily weather, and it simulates daily values of minimum and maximum temperature, precipitation, cloud cover, and wind speed. GWGEN may be used in a range of applications, for example, in global vegetation, crop, soil erosion, or hydrological models.