paper
2022
Nowcasting
Extremes & hazards New model or method
RNN / LSTM / ConvLSTMCNN / U-NetGraph neural network0–6 h Journal
2022-05-14
012
May 2022
Xuying Yang, Feng Zhang, Peng Sun et al.
Applied Soft Computing
A graph-guided ConvLSTM nowcasts precipitation from tropical cyclones, combining spatio-temporal graph structure with convolutional recurrent modelling.
A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcasting
In one sentence. A graph-guided ConvLSTM nowcasts precipitation from tropical cyclones, combining spatio-temporal graph structure with convolutional recurrent modelling.
Labels
- Topic
- Nowcasting, Extremes & hazards
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, CNN / U-Net, Graph neural network
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar, Satellite
- Status
- Research
- Identifiers
- DOI:10.1016/j.asoc.2022.109003 OpenAlex:W4280650853
- Added
- 2026-10-22
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