Articles | Volume 10, issue 10
Geosci. Model Dev., 10, 3771–3791, 2017
https://doi.org/10.5194/gmd-10-3771-2017
Geosci. Model Dev., 10, 3771–3791, 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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Interactive discussion

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 Anna Wenzel on behalf of the Authors (25 Aug 2017)  Author's response
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.