The skillful prediction of seasonal extreme precipitation anomalies is especially critical for agricultural planning, water resource allocation and flood mitigation. While single‐model deterministic dynamical systems are inherently limited in prediction skill and uncertainty quantification, the probabilistic predictions of multi‐model ensemble (MME) can effectively improve the prediction performance, integrate diverse physical...