NOAA CMORPH Satellite Precipitation CDR
CPC Morphing Technique satellite precipitation estimates combining passive microwave observations with geostationary IR data at 8km/30-minute resolution from 1998 to present
ncei.noaa.gov
At a glance
- Region
- Global
- Coverage
- 60S-60N global, 8km, 1998-present
- Access
- Free
- Category
- Government
What's inside
- Satellite Precipitation
- Climate Data Record
- 30-Minute Estimates
- Bias-Corrected Rainfall
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: Satellite Precipitation
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
No-gauge areas
Monitor places with no ground stations.
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
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
Machine access and documentation
Open API
NCEI THREDDS/HTTP ncei.noaa.gov CMORPH
Licence: US Government Work
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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