The South China Sea (SCS) holds global geopolitical, economic, and environmental importance, making the accurate forecasting of its marine variables essential for effective ocean management and hazard mitigation. While traditional numerical models are fundamental to ocean forecasting, they are often constrained by high computational complexity and low efficiency. Recently, deep learning-based data-driven GOFS, such as XiHe, ha...