pySTEPS
An open-source and community-driven Python library for probabilistic precipitation nowcasting, i.e. short-term ensemble prediction systems.
advection ensemble-prediction forecast-verification hydrology nowcasting optical-flow precipitation rainfall rainfall-prediction stochastic-processes weather weather-radar
Natural Resources - Water Supply and Quality - Last synced: 04 Aug 2026 - Ranking: 18.1
GPM-API
Provides an easy-to-use Python interface to download, read, process and visualize most of the products of the Global Precipitation Measurement Mission (GPM) data archive.
analysis-ready-data earth-observation eumetsat gpm jaxa nasa noaa open-data passive-microwave precipitation python radar rainfall reflectivity remote-sensing reproducible-research satellite-data snowfall trmm xarray
Hydrosphere - Ocean and Hydrology Data Access - Last synced: 04 Aug 2026 - Ranking: 11.7
Intensity duration frequency analysis
Reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours.
analysis design-rainfall duration duration-steps dwa dwa-a-531 dwd heavy-rain idf intensity-duration-frequency kostra measurement-data precipitation python rainfall return-period
Climate Change - Natural Hazard and Storms - Last synced: 05 Aug 2026 - Ranking: 10.6
CloudMicrophysics.jl
Provides a library of cloud microphysics and aerosol parameterizations for the CliMA Earth System Model.
aerosols atmospheric-physics climate-modeling cloud-microphysics gpu ice-nucleation julia parameterization precipitation scientific-computing
Atmosphere - Atmospheric Chemistry and Aerosol - Last synced: 05 Aug 2026 - Ranking: 8.3
ICAR
A simplified atmospheric model designed primarily for climate downscaling, atmospheric sensitivity tests, and hopefully educational uses.
climate downscaling icar netcdf precipitation regional-climate-model
Sustainable Development - Education - Last synced: 05 Aug 2026 - Ranking: 8.1
PyESD
Downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets to point scale.
deep-learning downscaling ensemble-machine-learning machine-learning precipitation sckit-learn tensorflow2
Climate Change - Climate Downscaling - Last synced: 05 Aug 2026 - Ranking: 7.1
AtmoSwing
Allow predicting local meteorological variables of interest, such as the daily precipitation, based on synoptic variables.
analogue downscaling forecast precipitation
Atmosphere - Meteorological Observation and Forecast - Last synced: 05 Aug 2026 - Ranking: -Infinity
