paper
2022
Extremes & hazards
New model or method
CNN / U-NetRNN / LSTM / ConvLSTM6 h–3 daysChina Meteorological Administration (CMA) Journal
2022-02-01
022
Feb 2022
Pingping Wang, Ping Wang, Cong Wang et al.
Atmospheric Research
China Meteorological Administration (CMA)
A 3D CNN combined with a GRU forecasts tropical cyclone tracks, aiming to improve track prediction over conventional approaches.
Using a 3D convolutional neural network and gated recurrent unit for tropical cyclone track forecasting
In one sentence. A 3D CNN combined with a GRU forecasts tropical cyclone tracks, aiming to improve track prediction over conventional approaches.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Regional
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2022.106053 OpenAlex:W4210536790
- Added
- 2026-10-22
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