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Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling
EddyFlow is a representation learning framework for kilometer-scale sea surface temperature downscaling that balances predictive accuracy, scale-dependent structure, and regional generalization and demonstrates that physics-informed representation learning reduces zero-shot RMSE by 21%, achieves up to 85.6% skill relat...