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#machine learning Preprint Feb 2026

Symmetric Composition of Anisotropic Operators for Global Subseasonal-to-Seasonal Climate Forecasting

Accurate global Subseasonal-to-Seasonal (S2S) climate forecasting is critical for disaster preparedness and resource management, yet it remains challenging due to chaotic atmospheric dynamics. Despite advances in geometry-aware representations, existing methods do not specify how the zonal and meridional interactions t...

Zi-Yu Zhou, Yu-Chen Fang, Wei-Lin Ruan et al. · 0 citations

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