Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Sep 2018
Model description paper |
| 11 Sep 2018
| 11 Sep 2018
STORM 1.0: a simple, flexible, and parsimonious stochastic rainfall generator for simulating climate and climate change
School of Earth and Ocean Sciences, Cardiff University, Cardiff,
UK
Earth Research Institute, University of California Santa Barbara,
Santa Barbara, CA, USA
Katerina Michaelides
School of Geographical Sciences, University of Bristol, Bristol,
UK
Earth Research Institute, University of California Santa Barbara,
Santa Barbara, CA, USA
Daniel E. J. Hobley
School of Earth and Ocean Sciences, Cardiff University, Cardiff,
UK
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- Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present M. Singer et al. 10.1038/s41597-021-01003-9
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20 citations as recorded by crossref.
- Comparing global hydrological models and combining them with GRACE by dynamic model data averaging (DMDA) N. Mehrnegar et al. 10.1016/j.advwatres.2020.103528
- Revealing the impacts of climate change on mountainous catchments through high-resolution modelling J. Moraga et al. 10.1016/j.jhydrol.2021.126806
- DRYP 1.0: a parsimonious hydrological model of DRYland Partitioning of the water balance E. Quichimbo et al. 10.5194/gmd-14-6893-2021
- Sensitivity of Rainfall Extremes to Unprecedented Indian Ocean Dipole Events D. MacLeod et al. 10.1029/2023GL105258
- Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations F. Ehmele et al. 10.5194/esd-11-469-2020
- Drought onset and propagation into soil moisture and grassland vegetation responses during the 2012–2019 major drought in Southern California M. Warter et al. 10.5194/hess-25-3713-2021
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts D. Asfaw et al. 10.5194/gmd-16-557-2023
- Future water resource shifts in the high desert Southwest of Northern New Mexico, USA K. Bennett et al. 10.1016/j.ejrh.2020.100678
- Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present M. Singer et al. 10.1038/s41597-021-01003-9
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. 10.3390/w14142218
- Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response N. Peleg et al. 10.5194/esurf-8-17-2020
- Value of Spatially Distributed Rainfall Design Events—Creating Basin-Scale Stochastic Design Storm Ensembles V. Lindgren et al. 10.3390/w15173066
- Tools for time-course simulation in systems biology: a brief overview J. Musilova & K. Sedlar 10.1093/bib/bbaa392
- Identifying weather regimes for regional‐scale stochastic weather generators N. Najibi et al. 10.1002/joc.6969
- Mapping storm spatial profiles for flood impact assessments N. Peleg et al. 10.1016/j.advwatres.2022.104258
- Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region E. Quichimbo et al. 10.1002/hyp.15047
- Projection of changes in flash flood occurrence under climate change at tourist attractions Y. Zhang et al. 10.1016/j.jhydrol.2021.126039
- Flood-related extreme precipitation in southwestern Germany: development of a two-dimensional stochastic precipitation model F. Ehmele & M. Kunz 10.5194/hess-23-1083-2019
1 citations as recorded by crossref.
Discussed (preprint)
Latest update: 18 Apr 2024
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.
For various applications, a regional or local characterization of rainfall is required,...
