Delta Hydro

RainyDay

Active

Stochastic storm transposition in Python — probabilistic extreme rainfall scenarios from remote-sensing data.

by University of Wisconsin-Madison

Pricing
Open Source
License
Open source (see repository)
Commercial use
Permitted
Ecosystem
Python
Platform
Windows, macOS, Linux

About RainyDay

RainyDay, from Daniel Wright's Hydroclimate Extremes Group (University of Wisconsin-Madison), implements stochastic storm transposition: it resamples and spatially transposes observed storms from gridded rainfall archives to synthesise thousands of plausible extreme-rainfall realisations over your watershed — rainfall frequency analysis built from real storm structures rather than point statistics and area-reduction factors.

The approach shines exactly where design-storm convention is weakest: large watersheds, rare recurrence intervals and physically realistic space-time storm structure for 2D models. It underpins a growing body of probabilistic flood work, including FEMA-adjacent probabilistic frameworks, and remains the reference open implementation of SST.

Where it fits in the workflow

TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting

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