paper
2024
Extremes & hazards
Observations & remote sensing New model or method
6 h–3 daysFudan University (FuXi)Nanjing University of Information Science & Technology (NUIST) Journal
2024-12-09
047
Dec 2024
Wei Tian, Ping Song, Yuanyuan Chen et al.
Advances in Atmospheric Sciences
Fudan University (FuXi), Nanjing University of Information Science & Technology (NUIST)
Multi-task learning fuses satellite imagery with deviation-angle variance for short-term rolling prediction of tropical cyclone intensity.
Short-Term Rolling Prediction of Tropical Cyclone Intensity Based on Multi-Task Learning with Fusion of Deviation-Angle Variance and Satellite Imagery
In one sentence. Multi-task learning fuses satellite imagery with deviation-angle variance for short-term rolling prediction of tropical cyclone intensity.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Time scale
- 6 h–3 days
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-024-3301-0 OpenAlex:W4405179210
- Added
- 2026-10-22
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