paper
2022
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-Net Journal
2022-02-12
012
Feb 2022
Siva Srinivas Kolukula, P. L. N. Murty
Progress In Oceanography
Applies deep convolutional neural networks to improve tropical cyclone wind field estimates for extreme event analysis.
Improving cyclone wind fields using deep convolutional neural networks and their application in extreme events
In one sentence. Applies deep convolutional neural networks to improve tropical cyclone wind field estimates for extreme event analysis.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.pocean.2022.102763 OpenAlex:W4211146548
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.