MS-SSTNet: A Scale-Aware Spatiotemporal Learning Framework for Satellite SST Forecasting via Iterative Multiscale Decomposition and Dual-Window Modelling
MS-SSTNet is introduced, a scale-aware framework designed for spatiotemporal SST forecasting that leverages iterative multiscale decomposition and a dual-window temporal module is integrated to characterize the coupling between long-term persistent trends and short-term stochastic fluctuations.