ARR Data Hub
Gov-Public
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
Data, Monitoring & ForecastingActiveIDF CurvesDesign Storms
wradlib
ActiveThe open library for weather-radar rainfall processing — from raw volumes to engineering-ready rainfall fields.
- Pricing
- Open Source
- License
- MIT
- Commercial use
- Permitted
- Ecosystem
- Python, NumPy, xarray
- Platform
- Windows, macOS, Linux
Install
pip install wradlibAbout wradlib
wradlib 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.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
Alternatives to wradlib
Other data, monitoring & forecasting tools covering similar workflow stages.
CHIRPS
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Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
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Caravan
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Delft-FEWS
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Deltares' operational forecasting platform — the shell running national flood-forecast centres worldwide.
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ERA5 / ERA5-Land
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ECMWF's hourly global reanalysis — the default gap-free climate forcing record for ungauged catchments worldwide.
Data, Monitoring & ForecastingActiveClimate Reanalysis DataRainfall Data
GPM IMERG
Gov-Public
NASA's 30-minute, 0.1° global precipitation record — the highest time resolution of any satellite rainfall product.
Data, Monitoring & ForecastingActiveSatellite Precipitation DataRainfall Data