Improving S2S Precipitation Forecast over China via a Deep Learning Model with Multi-Sphere Causality-Linked PredictorsOA
Improving S2S Precipitation Forecast over China via a Deep Learning Model with Multi-Sphere Causality-Linked Predictors
穆斌;郭好;袁时金;陈宇轩;崔悦涵;黄岩军
precipitationsubseasonal-to-seasonal(S2S)bias correctioncausal discoveryartificial intelligence
precipitationsubseasonal-to-seasonal(S2S)bias correctioncausal discoveryartificial intelligence
《气象学报（英文版）》 2026 (1)
254-272,19
Supported by the Meteorological Joint Funds of National Natural Science Foundation of China(U2542211 and U2542212),Original Exploration Project of National Natural Science Foundation of China(42450163),and National Natural Science Foundation of China(42405147).
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