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CHIRPS Climate Hazards Precipitation
30+ year quasi-global rainfall dataset with 0.05° resolution
chc.ucsb.edu
At a glance
- Region
- Global
- Coverage
- 50°S to 50°N global land areas
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- Rainfall
- Climate Data
- Satellite Data
- Time Series
- Drought Monitoring
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: Rainfall
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Risk screening
Screen projects and assets for climate risk.
Because it has: Climate Data
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
Bias correction
Correct and downscale climate model output for a site.
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