NASA POWER (Prediction of Worldwide Energy Resources)
NASA satellite and model-derived meteorological data including solar radiation, temperature, humidity, precipitation, and wind for renewable energy and agricultural applications
power.larc.nasa.gov
At a glance
- Region
- Global
- Coverage
- Global, 0.5-degree resolution, 1981-present
- Access
- Free
- Category
- Space Agency
What's inside
- Solar Radiation
- Temperature
- Precipitation
- Humidity
- Wind Speed
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
Risk screening
Screen projects and assets for climate risk.
Because it has: Temperature
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
POWER API power.larc.nasa.gov/api
Licence: US Government Work
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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