Different El Ni?o Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model

doi:10.1007/s00376-023-3082-x

IOCAS-IR > 海洋环流与波动重点实验室

	Different El Ni?o Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model
	Hu, Junya 1,2,4; Wang, Hongna 1,2,4; Gao, Chuan1,2,4 ; Zhang, Rong-Hua3,4
	2024-02-06
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
ISSN	0256-1530
页码	17
通讯作者	Hu, Junya(hujunya@qdio.ac.cn) ; Zhang, Rong-Hua(rzhang@nuist.edu.cn)
摘要	A previously developed hybrid coupled model (HCM) is composed of an intermediate tropical Pacific Ocean model and a global atmospheric general circulation model (AGCM), denoted as HCMAGCM. In this study, different El Nino flavors, namely the Eastern-Pacific (EP) and Central-Pacific (CP) types, and the associated global atmospheric teleconnections are examined in a 1000-yr control simulation of the HCMAGCM. The HCMAGCM indicates profoundly different characteristics among EP and CP El Nino events in terms of related oceanic and atmospheric variables in the tropical Pacific, including the amplitude and spatial patterns of sea surface temperature (SST), zonal wind stress, and precipitation anomalies. An SST budget analysis indicates that the thermocline feedback and zonal advective feedback dominantly contribute to the growth of EP and CP El Nino events, respectively. Corresponding to the shifts in the tropical rainfall and deep convection during EP and CP El Nino events, the model also reproduces the differences in the extratropical atmospheric responses during the boreal winter. In particular, the EP El Nino tends to be dominant in exciting a poleward wave train pattern to the Northern Hemisphere, while the CP El Nino tends to preferably produce a wave train similar to the Pacific North American (PNA) pattern. As a result, different climatic impacts exist in North American regions, with a warm-north and cold-south pattern during an EP El Nino and a warm-northeast and cold-southwest pattern during a CP El Nino, respectively. This modeling result highlights the importance of internal natural processes within the tropical Pacific as they relate to the genesis of ENSO diversity because the active ocean-atmosphere coupling is allowed only in the tropical Pacific within the framework of the HCMAGCM.
关键词	hybrid coupled model tropical Pacific Ocean global atmosphere Eastern/Central-Pacific El Nino atmospheric teleconnections
DOI	10.1007/s00376-023-3082-x
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[42275061] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB40000000] ; Laoshan Laboratory[LSKJ202202404] ; NSFC[42030410] ; Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:001158127800001
出版者	SCIENCE PRESS
WOS关键词	SEA-SURFACE TEMPERATURE ; PACIFIC MERIDIONAL MODES ; NORTH TROPICAL ATLANTIC ; COLD-TONGUE ; MEAN STATE ; WARM POOL ; ENSO DIVERSITY ; NINO EVENTS ; OCEAN ; SST
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/184469
专题	海洋环流与波动重点实验室
通讯作者	Hu, Junya; Zhang, Rong-Hua
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 3.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China 4.Laoshan Lab, Qingdao 266237, Peoples R China
第一作者单位	海洋环流与波动重点实验室
通讯作者单位	海洋环流与波动重点实验室
推荐引用方式 GB/T 7714	Hu, Junya,Wang, Hongna,Gao, Chuan,et al. Different El Ni?o Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2024:17.
APA	Hu, Junya,Wang, Hongna,Gao, Chuan,&Zhang, Rong-Hua.(2024).Different El Ni?o Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model.ADVANCES IN ATMOSPHERIC SCIENCES,17.
MLA	Hu, Junya,et al."Different El Ni?o Flavors and Associated Atmospheric Teleconnections as Simulated in a Hybrid Coupled Model".ADVANCES IN ATMOSPHERIC SCIENCES (2024):17.