paper
2023
Nowcasting
Extremes & hazards New model or method
GAN or VAECNN / U-Net0–6 h Journal
2023-01-01
020
Jan 2023
Rui Wang, Lin Su, Wai Kin Wong et al.
IEEE Transactions on Geoscience and Remote Sensing
TS-RainGAN splits heavy-rainfall nowcasting into coverage and intensity GAN modules, reducing blurriness and giving skillful district-level forecasts up to 2 hours ahead.
Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network
In one sentence. TS-RainGAN splits heavy-rainfall nowcasting into coverage and intensity GAN modules, reducing blurriness and giving skillful district-level forecasts up to 2 hours ahead.
Labels
- Topic
- Nowcasting, Extremes & hazards
- Type
- New model or method
- Method
- GAN or VAE, CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional, Local / station
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2023.3295211 OpenAlex:W4384162039
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.