Papers

A significant wave height prediction method based on deep learning combining the correlation between wind and wind waves

Researchers developed a significant wave height prediction model based on the ConvLSTM deep learning algorithm that incorporates correlations between wind fields and wave generation. A Mask and Replace optimization mechanism improved long-term prediction accuracy, and the model showed high spatial and temporal resolution performance in regional ocean forecasting.