Global Tropical Cyclone Precipitation (MSTCP) Dataset
Multi-source tropical cyclone precipitation dataset combining satellite estimates and reanalysis data to provide comprehensive global records of rainfall from tropical cyclones.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Precipitation
- Remote Sensing
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
No-gauge areas
Monitor places with no ground stations.
Because it has: Remote Sensing
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
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