paper
2020
Nowcasting
New model or method
GAN or VAERNN / LSTM / ConvLSTM0–6 h Journal
2020-09-23
012
Sep 2020
Pengfei Xie, Xutao Li, Xiyang Ji et al.
IEEE Geoscience and Remote Sensing Letters
An energy-based GAN combined with a convolutional RNN extrapolates radar echo maps with sharper, more stable results than ConvGRU and GA-ConvGRU baselines.
An Energy-Based Generative Adversarial Forecaster for Radar Echo Map Extrapolation
In one sentence. An energy-based GAN combined with a convolutional RNN extrapolates radar echo maps with sharper, more stable results than ConvGRU and GA-ConvGRU baselines.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- GAN or VAE, RNN / LSTM / ConvLSTM
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2020.3023950 OpenAlex:W3089203045
- Added
- 2026-10-22
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