paper
2021
Nowcasting
Global medium-range NWP New model or method
RNN / LSTM / ConvLSTMTransformer / ViT0–6 hChina Meteorological Administration (CMA) Journal
2021-09-06
022
Sep 2021
Tingzhao Yu, Qiuming Kuang, Ruyi Yang
IEEE Geoscience and Remote Sensing Letters
China Meteorological Administration (CMA)
ATMConvGRU adds axial attention memory to ConvGRU for sequential weather prediction of temperature, humidity, wind and radar echo, outperforming state-of-the-art methods.
ATMConvGRU for Weather Forecasting
In one sentence. ATMConvGRU adds axial attention memory to ConvGRU for sequential weather prediction of temperature, humidity, wind and radar echo, outperforming state-of-the-art methods.
Labels
- Topic
- Nowcasting, Global medium-range NWP
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Transformer / ViT
- Time scale
- 0–6 h
- Data
- Radar, Other
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2021.3109259 OpenAlex:W3198258664
- Added
- 2026-10-22
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