Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting

By Danyang Li · Paper · cs.LG

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 sp

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