Dynamical and Machine Learning Hybrid Seasonal Prediction of Summer Rainfall in China期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Dynamical and Machine Learning Hybrid Seasonal Prediction of Summer Rainfall in China

Authors:	Jialin WANG Jing YANG Hong-Li REN Jinxiao LI Qing BAO Miaoni GAO

Affiliation:	State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster,Faculty of Geographical Science,Beijing Normal University,Beijing 100875;State Key Laboratory of Earth Surface Process and Resource Ecology/Key Laboratory of Environmental Change and Natural Disaster,Faculty of Geographical Science,Beijing Normal University,Beijing 100875;Southern Marine Science and Engineering Guangdong Laboratory,Guangzhou 511458;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081;State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029;Institute for Disaster Risk Management,School of Geographical Sciences,Nanjing University of Information Science&Technology,Nanjing 210044

Abstract:	Seasonal prediction of summer rainfall is crucial to reduction of regional disasters, but currently it has a low predic-tion skill. We developed a dynamical and...

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