Interpretable AI predicts a 2026 summer dry anomaly in central China
By Anran Wang · Paper · physics.ao-ph
Seasonal precipitation anomalies are largely regulated by atmospheric circulation, which dynamical models predict with greater reliability than precipitation itself. Here, we employ a deep learning model that translates dynamical circulation predictions into precipitation estimat