paper
2022
Extremes & hazards
New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2022-05-30
008
May 2022
Rikhi Bose, Adam L. Pintar, Emil Simiu
Neural Computing and Applications
LSTM recurrent networks give real-time predictions of hurricane evolution; no abstract was provided, so quantitative skill and data details are unknown.
A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks
In one sentence. LSTM recurrent networks give real-time predictions of hurricane evolution; no abstract was provided, so quantitative skill and data details are unknown.
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:10.1007/s00521-022-07384-1 OpenAlex:W4282017798
- Added
- 2026-10-22
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