SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
A new index for identifying different types of El Nino Modoki events
Wang, X; Tan, W; Wang, CZ; cwang@scsio.ac.cn
2018
Source PublicationCLIMATE DYNAMICS
Volume50Issue:2018-07-08Pages:2753-2765
AbstractEl Nio Modoki events can be further classified into El Nio Modoki I and II in terms of their opposite impacts on southern China rainfall (Wang and Wang, J Clim 26:1322-1338, 2013) and the Indian Ocean dipole mode (Wang and Wang, Clim Dyn 42:991-1005, 2014). The present paper develops an index to identify the types of El Nio events. The El Nio Modoki II (MII) index is defined as the leading principle component of multivariate empirical orthogonal function analysis of the normalized El Nio Modoki index, Nio4 index and 850 hPa relative vorticity anomalies averaged near the Philippine Sea during autumn. The MII index exhibits dominant variations on interannual (2-3 and 4-5 years) and decadal (10-20 years) timescales. El Nio Modoki II events can be well identified by using the MII index value being larger than 1 standard deviation. Further analyses and numerical model experiments confirm that the MII index can portray the major oceanic and atmospheric features of El Nio Modoki II events. The constructed MII index along with previous ENSO indices can be used for classifying and identifying all types of El Nio events. Because of distinct impacts induced by different types of El Nio events, the implication of the present study is that climate prediction and future climate projection under global warming can be improved by using the MII index and other indices to identify the types of El Nio events.
Department[Wang, Xin; Wang, Chunzai] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, 164 West Xingang Rd, Guangzhou 510301, Guangdong, Peoples R China; [Wang, Xin] Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266237, Peoples R China; [Tan, Wei] State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
KeywordEnso El Nino Modoki Climate Impacts
Subject AreaMeteorology & Atmospheric Sciences
Funding ProjectLTO
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/17084
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorcwang@scsio.ac.cn
Recommended Citation
GB/T 7714
Wang, X,Tan, W,Wang, CZ,et al. A new index for identifying different types of El Nino Modoki events[J]. CLIMATE DYNAMICS,2018,50(2018-07-08):2753-2765.
APA Wang, X,Tan, W,Wang, CZ,&cwang@scsio.ac.cn.(2018).A new index for identifying different types of El Nino Modoki events.CLIMATE DYNAMICS,50(2018-07-08),2753-2765.
MLA Wang, X,et al."A new index for identifying different types of El Nino Modoki events".CLIMATE DYNAMICS 50.2018-07-08(2018):2753-2765.
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