paper
2018
Extremes & hazards
New model or method
CNN / U-Net6 h–3 days Journal
2018-03-14
008
Mar 2018
Daisuke Matsuoka, Masuo Nakano, Daisuke Sugiyama et al.
Japan Geoscience Union
Conference abstract applying deep learning to detect tropical cyclone precursors in a global nonhydrostatic atmospheric model simulation.
Deep Learning Approach for Detecting Precursors of Tropical Cyclone Simulated by a Global Nonhydrostatic Atmospheric Model
In one sentence. Conference abstract applying deep learning to detect tropical cyclone precursors in a global nonhydrostatic atmospheric model simulation.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 6 h–3 days
- Domain
- Global
- Data
- km-scale or high-res simulation
- Status
- Research
- Identifiers
- OpenAlex:W3027231904
- Added
- 2026-10-22
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