paper
2019
Nowcasting
Extremes & hazards New model or method
GAN or VAECNN / U-Net0–6 h Journal
2019-07-07
012
Jul 2019
Chenyang Zhang, Xuebing Yang, Yongqiang Tang et al.
IEEE Geoscience and Remote Sensing Letters
Two-stage GANs generate synthetic radar reflectivity sequences for extreme precipitation in Shenzhen to address class imbalance in radar QPE.
Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks
In one sentence. Two-stage GANs generate synthetic radar reflectivity sequences for extreme precipitation in Shenzhen to address class imbalance in radar QPE.
Labels
- Topic
- Nowcasting, Extremes & hazards
- Type
- New model or method
- Method
- GAN or VAE, CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2019.2922326 OpenAlex:W2953596889
- Added
- 2026-10-22
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