Revisiting ENSO impacts on the Indian Ocean SST based on a combined linear regression method

作     者：Lianyi Zhang Yan Du Tomoki Tozuka Shoichiro Kido Lianyi Zhang;Yan Du;Tomoki Tozuka;Shoichiro Kido

作者机构：State Key Laboratory of Tropical OceanographySouth China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China University of Chinese Academy of SciencesBeijing 100049China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)Guangzhou 511458China Department of Earth and Planetary ScienceGraduate School of ScienceThe University of TokyoTokyo 113-0033Japan Application Laboratory(APL)Research Institute for Value-Added-Information Generation(VAiG)Japan Agency for Marine-Earth Science and TechnologyYokohama 236-0001Japan 

出 版 物：《Acta Oceanologica Sinica》 (海洋学报（英文版）)

年 卷 期：2021年第40卷第5期

页      面：47-57页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：The National Natural Science Foundation of China under contract Nos 41830538 and 42090042 the Program of the Chinese Academy of Sciences under contract Nos 133244KYSB20190031,ZDRW-XH-2001902 and ISEE2018PY06 the Program of the Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)under contract Nos GML2019ZD0303 and2019BT02H594。 

主　　题：Indian Ocean ENSO sea surface temperature climate modes combined linear regression 

摘      要：The El Nino-Southern Oscillation(ENSO)has great impacts on the Indian Ocean sea surface temperature(SST).In fact,two major modes of the Indian Ocean SST namely the Indian Ocean Basin(IOB)and the Indian Ocean Dipole(IOD)modes,exerting strong influences on the Indian Ocean rim countries,are both influenced by the ENSO.Based on a combined linear regression method,this study quantifies the ENSO impacts on the IOB and the IOD during ENSO concurrent,developing,and decaying stages.After removing the ENSO impacts,the spring peak of the IOB disappears along with significant decrease in number of events,while the number of events is only slightly reduced and the autumn peak remains for the IOD.By isolating the ENSO impacts during each stage,this study reveals that the leading impacts of ENSO contribute to the IOD development,while the delayed impacts facilitate the IOD phase switch and prompt the IOB development.Besides,the decadal variations of ENSO impacts are various during each stage and over different regions.These imply that merely removing the concurrent ENSO impacts would not be sufficient to investigate intrinsic climate variability of the Indian Ocean,and the present method may be useful to study climate variabilities independent of ENSO.