paper
2019
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net Journal
2019-06-01
022
Jun 2019
Anthony Wimmers, Christopher Velden, Joshua H. Cossuth
Monthly Weather Review
DeepMicroNet, a CNN on passive microwave satellite imagery, estimates tropical cyclone intensity with 9.6-14.3 kt RMSE, matching known best-track biases.
Using Deep Learning to Estimate Tropical Cyclone Intensity from Satellite Passive Microwave Imagery
In one sentence. DeepMicroNet, a CNN on passive microwave satellite imagery, estimates tropical cyclone intensity with 9.6-14.3 kt RMSE, matching known best-track biases.
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-18-0391.1 OpenAlex:W2932915765
- Added
- 2026-10-22
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