paper
2019
Nowcasting
New model or method
GAN or VAERNN / LSTM / ConvLSTMCNN / U-Net0–6 h Journal
2019-07-26
022
Jul 2019
Lin Tian, Xutao Li, Yunming Ye et al.
IEEE Geoscience and Remote Sensing Letters
Generative adversarial ConvGRU model produces sharper radar echo extrapolations than ConvGRU and optical flow for precipitation nowcasting.
A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting
In one sentence. Generative adversarial ConvGRU model produces sharper radar echo extrapolations than ConvGRU and optical flow for precipitation nowcasting.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- GAN or VAE, RNN / LSTM / ConvLSTM, CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2019.2926776 OpenAlex:W2965679379
- Added
- 2026-10-22
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