The first two leading modes of the tropical Pacific and their linkage without global warmingOACSCD
The first two leading modes of the tropical Pacific and their linkage without global warming
Yang Li;MingGang Li;QuanLiang Chen;XiaoRan Liu;Nan Xing;ZhiGang Cheng;HongKe Cai;Xin Zhou;Dong Chen;XiaoFei Wu
College of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaState Chongqing Climate Center, Chongqing 401147, ChinaBeijing Meteorological Service, Beijing 100875, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Atmospheric Science, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, China
El Niño-Southern Oscillation (ENSO)ENSO evolutionglobal warmingair–sea interaction
El Niño-Southern Oscillation (ENSO)ENSO evolutionglobal warmingair–sea interaction
《地球与行星物理(英文)》 2019 (2)
ENSO衰减期印度洋和太平洋海温异常对中国东部春季降水的协同影响及其数值模拟
157-182,26
This research was jointly supported by the National Key Research and Development Program on Monitoring, Early Warning and Prevention of Major Natural Disasters (2018YFC1506006), the National Natural Science Foundation of China Project (41805054, 41875108, 41805041, 41705065) and the Scientific Research Fund of the Chengdu University of Information Technology (KYTZ201724, KYTZ201602, KYTZ201727).
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