paper
2022
Nowcasting
New model or method
RNN / LSTM / ConvLSTMCNN / U-Net0–6 hNanjing University of Information Science & Technology (NUIST) Journal
2022-01-06
022
Jan 2022
Suting Chen, Xin Xu, Yanyan Zhang et al.
Neural Computing and Applications
Nanjing University of Information Science & Technology (NUIST)
Proposes a two-stream convolutional LSTM for radar-based precipitation nowcasting, combining two input streams to improve echo map prediction.
Two-stream convolutional LSTM for precipitation nowcasting
In one sentence. Proposes a two-stream convolutional LSTM for radar-based precipitation nowcasting, combining two input streams to improve echo map prediction.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1007/s00521-021-06877-9 OpenAlex:W4206430005
- Added
- 2026-10-22
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