ClimateSERV (SERVIR)
NASA/USAID SERVIR platform providing satellite-derived climate data including 30+ years of CHIRPS rainfall, eMODIS vegetation, GPM IMERG precipitation, and 180-day NMME seasonal forecasts for data-sparse regions
climateserv.servirglobal.net
At a glance
- Region
- Global
- Coverage
- Africa, Asia, Latin America; 30+ years data
- Access
- Free
- Category
- International
What's inside
- Historical Rainfall
- Precipitation Forecasts
- Vegetation Indices
- Seasonal Climate Forecasts
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: Historical Rainfall
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Risk screening
Screen projects and assets for climate risk.
Because it has: Seasonal Climate Forecasts
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.
Machine access and documentation
Open API
Machine-readable endpoint on climateserv.servirglobal.net
Licence: US/NASA-USAID open data
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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