Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting
Antarctic sea ice concentration (SIC) forecasting is an important yet challenging task due to the coexistence of complex spatial structure, long-range temporal dependencies, and strong seasonal variability. Conventional convolution-based models are effective at capturing local spatial patterns, but often have limited a...