Sea surface salinity-derived indexes for distinguishing two types of El Ni?o events in the tropical Pacific

IOCAS-IR

	Sea surface salinity-derived indexes for distinguishing two types of El Ni?o events in the tropical Pacific
	Hai ZHI ; Pengfei LIN ; Zhujun FANG ; Hailong LIU ; Rong-Hua ZHANG; Wenrong BAI
发表期刊	Science China(Earth Sciences)
ISSN	1674-7313
	2021-07-01
出版年	2021
卷号	v.64 期号:08 页码:65-82
文献类型	CNKI期刊论文
摘要	In this study, sea surface salinity(SSS) indexes are derived from reanalysis and observational datasets to distinguish the two types of(Central Pacific(CP) and Eastern Pacific(EP)) El Ni?o events in the tropical Pacific. Based on the SSS anomalous spatial and temporal pointwise correlations with sea surface temperature(SST) indexes of two types of El Ni?o events, the key areas with SSS variations for EP and CP El Ni?o events are identified. For EP El Ni?o events, the key areas are located over an arcuate area centered at(0°, 130°E) and in the central equatorial Pacific covering(5°S–5°N, 175°W–158°W). For CP El Ni?o events, the key areas are located in the northeastern western Pacific covering(2°N, 142°E–170°E) and in the southeastern Pacific covering(20°S–10°S, 135°W–95°W). The key areas for EP and CP El Ni?o events in this study are not located near the dateline in the equatorial Pacific and differ from those obtained from the regression or composite methods.Accordingly, these key areas are used to construct SSS indexes, termed as the CP/EP El Ni?o SSS index(CSI/ESI), to distinguish EP and CP El Ni?o events independently. The SSS indexes are verified by different datasets over varying time periods and they can be adequately used to identify the two types of El Ni?o events and serve as another useful tool for monitoring ENSO. These analyses offer novel insight into how to represent the diversity of El Ni?o events.
关键词	Two types of El Ni?o Sea surface salinity indexes Tropical Pacific
CNKI专辑号	A;
CNKI专辑名称	基础科学;
CNKI专题号	A009;A010;
CNKI专题名称	气象学;海洋学;
分类号	P732
收录类别	中科院核心 ; 中科院扩展
语种	英文;
资助项目(基金）	supported by the National Key Research and Development Program on Monitoring, Early Warning and Prevention of Major Natural Disaster (Grant Nos. 2018YFC1506002, 2016YFC1401601, 2019YFC1510004) ; the Strategic Priority Research Program of Chinese Academy of Sciences (Grant Nos. XDB 40000000, XDB 42000000) ; the National Natural Science Foundation of China (Grant Nos. 42030410, 41976026, 41931183, 41690122) ; the National Key R&D Program of China (Grant No. 2017YFC1404102)
文献类型	CNKI期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/187731
专题	中国科学院海洋研究所
作者单位	1.CollegeofAtmosphericSciences,NanjingUniversityofInformationScienceandTechnology 2.StateKeyLaboratoryofNumericalModelingforAtmosphericSciencesandGeophysicalFluidDynamics(LASG),InstituteofAtmosphericPhysics(IAP),ChineseAcademyofSciences 3.UniversityofChineseAcademyofSciences 4.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,andCenterforMega-science,ChineseAcademyofSciences 5.CenterforExcellenceinQuaternaryScienceandGlobalChange,ChineseAcademyofSciences
推荐引用方式 GB/T 7714	Hai ZHI,Pengfei LIN,Zhujun FANG,et al. Sea surface salinity-derived indexes for distinguishing two types of El Ni?o events in the tropical Pacific. 2021.