Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5387-2024
https://doi.org/10.5194/gmd-17-5387-2024
Model description paper
 | 
12 Jul 2024
Model description paper |  | 12 Jul 2024

STORM v.2: A simple, stochastic rainfall model for exploring the impacts of climate and climate change at and near the land surface in gauged watersheds

Manuel F. Rios Gaona, Katerina Michaelides, and Michael Bliss Singer

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stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts
Dagmawi Teklu Asfaw, Michael Bliss Singer, Rafael Rosolem, David MacLeod, Mark Cuthbert, Edisson Quichimbo Miguitama, Manuel F. Rios Gaona, and Katerina Michaelides
Geosci. Model Dev., 16, 557–571, https://doi.org/10.5194/gmd-16-557-2023,https://doi.org/10.5194/gmd-16-557-2023, 2023
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Cited articles

Anaconda Software Distribution: Conda, https://anaconda.com (last access: 7 July 2024), 2023. a
Asfaw, D. T., Singer, M. B., Rosolem, R., MacLeod, D., Cuthbert, M., Miguitama, E. Q., Rios Gaona, M. F., and Michaelides, K.: stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts, Geosci. Model Dev., 16, 557–571, https://doi.org/10.5194/gmd-16-557-2023, 2023. a
Benoit, L., Allard, D., and Mariethoz, G.: Stochastic Rainfall Modeling at Sub-kilometer Scale, Water Resour. Res., 54, 4108–4130, https://doi.org/10.1029/2018WR022817, 2018. a, b
Berger, D.: Kendall's Rank Correlation vs Pearson's Linear Correlation: A Proof Of Greiner's Relation, SSRN, https://doi.org/10.2139/ssrn.2837712, 2016. a
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. a
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Short summary
STORM v.2 (short for STOchastic Rainfall Model version 2.0) is an open-source and user-friendly modelling framework for simulating rainfall fields over a basin. It also allows simulating the impact of plausible climate change either on the total seasonal rainfall or the storm’s maximum intensity.
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