CHIRPS
Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
The open library for weather-radar rainfall processing — from raw volumes to engineering-ready rainfall fields.
Install
pip install wradlibwradlib handles the unglamorous chain between a weather radar and usable rainfall data: reading the many native radar formats, clutter and attenuation correction, Z-R conversion, gauge adjustment, and georeferencing/gridding of the result — each step published, citable and inspectable.
Radar rainfall increasingly drives urban drainage design storms, model calibration and nowcasting inputs; wradlib is the established open toolkit for making radar data defensible rather than decorative. Well maintained by the openradar community, and it composes with pysteps when nowcasting is the goal.
Getting defensible design storms: IDF sources, rainfall statistics and climate adjustment.
Ranked by the topics, categories and workflow stages they share with wradlib.
Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
The open global large-sample hydrology dataset — thousands of catchments with forcing, attributes and streamflow.
ECMWF's hourly global reanalysis — the default gap-free climate forcing record for ungauged catchments worldwide.
NASA's 30-minute, 0.1° global precipitation record — the highest time resolution of any satellite rainfall product.
Free viewer and exporter for NEXRAD radar, satellite and climate data — out to GeoTIFF, Shapefile and NetCDF.
A neural-network satellite rainfall climate data record, daily, 0.25°, purpose-built for long-term trend studies.