Articles | Volume 24, issue 6
https://doi.org/10.5194/nhess-24-1929-2024
https://doi.org/10.5194/nhess-24-1929-2024
Brief communication
 | 
11 Jun 2024
Brief communication |  | 11 Jun 2024

Brief communication: SWM – stochastic weather model for precipitation-related hazard assessments using ERA5-Land data

Melody Gwyneth Whitehead and Mark Stephen Bebbington

Data sets

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Model code and software

MelWhitehead/SWM: SWM - Stochastic Weather Model in R Melody G. Whitehead https://doi.org/10.5281/zenodo.11479909

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Short summary
Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
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