CHIRPS via IRI/LDEO Climate Data Library
CHIRPS quasi-global 0.05 degree rain-gauge-plus-satellite precipitation, 1981-present, served through the IRI Data Library with on-the-fly subsetting, analysis and multiple download formats (NetCDF, GeoTIFF) and OPeNDAP endpoints.
iridl.ldeo.columbia.edu
At a glance
- Region
- United States (Global)
- Coverage
- 50S-50N
- Access
- Free
- Category
- Academic
- Last updated
- 2026
What's inside
- precipitation
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Because it has: precipitation
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
Machine access and documentation
Open API
IRI Data Library OPeNDAP/DODS and data-grid download
Licence: Open data
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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