paper
2025
Extremes & hazards
Nowcasting New model or method
CNN / U-Net6 h–3 daysChina Meteorological Administration (CMA)Fudan University (FuXi)Nanjing University of Information Science & Technology (NUIST) Journal
2025-07-12
047
Jul 2025
Wei Tian, Yuanyuan Chen, Haifeng Xu et al.
Journal of Geophysical Research Atmospheres
China Meteorological Administration (CMA), Fudan University (FuXi), Nanjing University of Information Science & Technology (NUIST)
Fuses infrared and water-vapor satellite imagery with convective features in a deep model (TCISP-fusion) for 24-hour western North Pacific tropical cyclone intensity, RMSE 10.87 kt.
Fusion of Satellite Imagery and Convection Features for Tropical Cyclone Intensity Short‐Term Prediction
In one sentence. Fuses infrared and water-vapor satellite imagery with convective features in a deep model (TCISP-fusion) for 24-hour western North Pacific tropical cyclone intensity, RMSE 10.87 kt.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1029/2024jd041930 OpenAlex:W4412367139
- Added
- 2026-10-22
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