paper
2019
Extremes & hazards
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2019-01-31
012
Jan 2019
Bin Pan, Xia Xu, Zhenwei Shi
Electronics Letters
RNN trained on Western North Pacific tropical cyclone records predicts 24-hour intensity with 5.1 m/s error, beating some dynamical models.
Tropical cyclone intensity prediction based on recurrent neural networks
In one sentence. RNN trained on Western North Pacific tropical cyclone records predicts 24-hour intensity with 5.1 m/s error, beating some dynamical models.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1049/el.2018.8178 OpenAlex:W2912394463
- Added
- 2026-10-22
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