ARR Data Hub
Gov-Public
The official portal for Australian Rainfall & Runoff design inputs — losses, temporal patterns and preburst.
Data, Monitoring & ForecastingActiveIDF CurvesDesign Storms
PERSIANN-CDR
ActiveA neural-network satellite rainfall climate data record, daily, 0.25°, purpose-built for long-term trend studies.
by Center for Hydrometeorology and Remote Sensing, UC Irvine
- Pricing
- Free
- License
- Free (NOAA Climate Data Record)
- Commercial use
- Permitted
- Ecosystem
- Python, GDAL
- Platform
- Windows, macOS, Linux
About PERSIANN-CDR
PERSIANN-CDR, developed by CHRS at UC Irvine, applies an artificial-neural-network retrieval to infrared satellite imagery to produce a daily, 0.25° global rainfall record from 1983 to near-present, engineered specifically for the consistency long-term climate and trend studies require. NOAA recognises it as an official Climate Data Record.
Served through the CHRS Data Portal (a purpose-built repository, not a general archive), it pairs well with CHIRPS as a cross-check for extreme-rainfall and drought-trend analysis over multi-decade records.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
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