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Optimizing typhoon wave height forecasting with LSTM model using SWAN-BP model output and TCWiSE synthetic typhoons | Synapse
March 3, 2026
Optimizing typhoon wave height forecasting with LSTM model using SWAN-BP model output and TCWiSE synthetic typhoons
HL
Hongkun Lin
Xi'an University of Technology
ZS
Zhiqiang Song
Xi'an University of Technology
C. L. Philip Chen
Qingdao University
Key Points
Forecasting accuracy improves significantly with the LSTM model, which integrates synthetic typhoon data.
Model outputs from SWAN-BP enhance wave height predictions, indicating a reliable methodology in extreme weather projections.
Assessment using an LSTM approach on synthetic typhoons shows substantial gains over traditional forecasting methods.
These findings support the need for advanced modeling techniques in meteorology, potentially aiding disaster preparedness.
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Lin et al. (Sat,) studied this question.
synapsesocial.com/papers/69a759f9c6e9836116a1f69c
https://doi.org/https://doi.org/10.1016/j.oceaneng.2026.124295