Storm surge is the anomalous rising of the sea surface induced by intense atmospheric disturbances. The storm surge caused by tropical cyclones often causes great socio-economic, human activity, and life and property hazards to coastal areas. In terms of research resource consumption and computational time, machine learning algorithms that depend on data-driven strong nonlinear mapping skills outperform standard numerical model forecasting. To obtain a lighter and faster storm surge shortcoming forecast, we use a deep learning-based single-station water level prediction model for a storm surge at several locations in this work. In contrast to earlier research, this study employs convolutional neural networks to extract two-dimensional wind field information and merge them with local water level features to produce a more time-efficient intelligent forecast.
Ocean Modelling, Volume 182, April 2023,