paper
2022
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net Journal
2022-10-28
016
Oct 2022
Chong Wang, Xiaofeng Li
Monthly Weather Review
Deep learning estimates 34, 50 and 64-kt tropical cyclone wind radii in four quadrants from geostationary IR images, cutting errors 12-36% over prior methods.
A Deep Learning Model for Estimating Tropical Cyclone Wind Radius from Geostationary Satellite Infrared Imagery
In one sentence. Deep learning estimates 34, 50 and 64-kt tropical cyclone wind radii in four quadrants from geostationary IR images, cutting errors 12-36% over prior methods.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-22-0166.1 OpenAlex:W4307714586
- Added
- 2026-10-22
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