paper
2021
Extremes & hazards
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2021-11-03
012
Nov 2021
Tao Song, Ying Li, Fan Meng et al.
Journal of Applied Meteorology and Climatology
A BiGRU with attention predicts Northwest Pacific tropical cyclone tracks at 6–72 h, outperforming RNN, LSTM and GRU baselines and beating agency forecasts at longer leads.
A Novel Deep Learning Model by BiGRU with Attention Mechanism for Tropical Cyclone Track Prediction in the Northwest Pacific
In one sentence. A BiGRU with attention predicts Northwest Pacific tropical cyclone tracks at 6–72 h, outperforming RNN, LSTM and GRU baselines and beating agency forecasts at longer leads.
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:10.1175/jamc-d-20-0291.1 OpenAlex:W3210553524
- Added
- 2026-10-22
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