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

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

气象学报（英文版）2021，Vol.35Issue(4)：583-593,11.

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

Jialin WANG ¹Jing YANG ¹Hong-Li REN ²Jinxiao LI ³Qing BAO ⁴Miaoni GAO⁴

作者信息

1. 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
2. Southern Marine Science and Engineering Guangdong Laboratory,Guangzhou 511458
3. State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081
4. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029
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摘要

关键词

seasonal rainfall prediction/statistical–dynamical model/machine learning

Key words

seasonal rainfall prediction/statistical–dynamical model/machine learning

引用本文复制引用

Jialin WANG,Jing YANG,Hong-Li REN,Jinxiao LI,Qing BAO,Miaoni GAO..Dynamical and Machine Learning Hybrid Seasonal Prediction of Summer Rainfall in China[J].气象学报（英文版）,2021,35(4):583-593,11.

基金项目

Supported by the National Natural Science Foundation of China(42022034,41775071,and U1811464)and China National Key Re-search and Development Program[Early Warning and Prevention of Major Natural Disaster(2018YFC1506005)]. （42022034,41775071,and U1811464）

气象学报（英文版）

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ISSN：0894-0525

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