paper
2024
Extremes & hazards
New model or method
Physics-informed / physics-constrained6 h–3 daysChina Meteorological Administration (CMA)Fudan University (FuXi) Journal
2024-05-20
047
May 2024
Yitian Zhou, Ruifen Zhan, Yuqing Wang et al.
Advances in Atmospheric Sciences
China Meteorological Administration (CMA), Fudan University (FuXi)
Physics-informed deep learning scheme predicts western North Pacific tropical cyclone intensity; abstract unavailable, so details are limited.
A Physics-informed Deep-learning Intensity Prediction Scheme for Tropical Cyclones over the Western North Pacific
In one sentence. Physics-informed deep learning scheme predicts western North Pacific tropical cyclone intensity; abstract unavailable, so details are limited.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- Physics-informed / physics-constrained
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-024-3282-z OpenAlex:W4398137560
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.