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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Cited articles

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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.