paper
2022
Extremes & hazards
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2022-01-01
012
Jan 2022
Long-Hu Bai, Hang Xu
Physics of Fluids
Encoder-decoder LSTM predicts Florida hurricane storm surge 1 to 12 hours ahead from observed surge and meteorological inputs, outperforming a CNN in all cases.
Accurate storm surge forecasting using the encoder–decoder long short term memory recurrent neural network
In one sentence. Encoder-decoder LSTM predicts Florida hurricane storm surge 1 to 12 hours ahead from observed surge and meteorological inputs, outperforming a CNN in all cases.
Labels
- Topic
- Extremes & hazards
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1063/5.0081858 OpenAlex:W4206720317
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.