Interpretable AI predicts a 2026 summer dry anomaly in central China
A deep learning model is employed that translates dynamical circulation predictions into precipitation estimates and provides physically interpretable explanations for AI-derived regional climate projections, facilitating evidence-based assessment before observational data become available.
Anran Wang, Wen Shi, Yong Luo et al.
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