Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3713-2018
https://doi.org/10.5194/gmd-11-3713-2018
Model description paper
 | 
11 Sep 2018
Model description paper |  | 11 Sep 2018

STORM 1.0: a simple, flexible, and parsimonious stochastic rainfall generator for simulating climate and climate change

Michael Bliss Singer, Katerina Michaelides, and Daniel E. J. Hobley

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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 Michael Singer on behalf of the Authors (23 Jul 2018)  Author's response
ED: Referee Nomination & Report Request started (30 Jul 2018) by Bethanna Jackson
RR by Nadav Peleg (03 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (03 Aug 2018) by Bethanna Jackson
AR by Michael Singer on behalf of the Authors (04 Aug 2018)  Author's response    Manuscript
ED: Publish as is (23 Aug 2018) by Bethanna Jackson

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Michael Singer on behalf of the Authors (11 Sep 2018)   Author's adjustment   Manuscript
EA: Adjustments approved (11 Sep 2018) by Bethanna Jackson
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Short summary
For various applications, a regional or local characterization of rainfall is required, particularly at the watershed scale, where there is spatial heterogeneity. Furthermore, simple models are needed that can simulate various scenarios of climate change including changes in seasonal wetness and rainstorm intensity. To this end, we have developed the STOchastic Rainstorm Model (STORM). We explain its developments and data requirements, and illustrate how it simulates rainstorms over a basin.