Typhoon track and temporal forecasting of wind and rain based on a multifactor coupling model and LSTM networks
This study proposes an integrated typhoon forecasting framework that sequentially combines a multi-factor physical model with a Long Short-Term Memory (LSTM) network. The physical component handles track projection via typhoon genesis indices, multi-layer steering flows, and β-drift corrections, and characterizes post-...