A Deep Learning Model for Forecasting Sea Surface Height Anomalies and Temperatures in the South China Sea

Abstract The field of forecasting oceanic variables has traditionally relied on numerical models, which effectively consider the ocean's dynamic evolution and are of physical importance. However, to make the models more realistic, complicated processes need to be considered, which is difficult becau... View More