GSTDTAP  > 气候变化
DOI10.1029/2020GL087354
El Nino Diversity Across Boreal Spring Predictability Barrier
Wang, Bin1,2,3,4; Luo, Xiao1,2; Sun, Weiyi5,6,7; Yang, Young-Min3,4; Liu, Jian5,6,7
2020-06-09
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2020
卷号47期号:13
文章类型Article
语种英语
国家USA; Peoples R China
英文摘要

El Nino exerts widespread hydroclimate impacts during boreal summer. However, the current prediction of El Nino across boreal spring has the most severe forecast errors, partially due to the lack of understanding diversified El Nino onset and decay. Here we show, through nonlineark-means cluster analysis of evolutions of 40 El Nino events since 1870, El Nino exhibits complex and diverse flavors in its onset and decay across boreal spring predictability barrier. We detected three types of El Nino onset and three types of decay. Each type exhibits distinct coupled dynamics, precursors, and hydroclimate impacts. The results guide the prediction of different types of El Nino transition amid spring predictability barrier and global land precipitation during early and late boreal summer. The new classification offers a metric to evaluate performances of climate models and to project future change of El Nino properties and its predictability.


英文关键词El Nino diversity El Nino transition k-means cluster analysis El Nino precursors El Nino impact spring predictability barrier
领域气候变化
收录类别SCI-E
WOS记录号WOS:000551465400027
WOS关键词PRECIPITATION-ENSO RELATIONSHIP ; SEA-SURFACE TEMPERATURE ; PACIFIC ; MODEL ; PERFORMANCE ; REANALYSIS ; ROBUST ; OCEAN
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/274362
专题气候变化
作者单位1.Univ Hawaii, Dept Atmospher Sci, Honolulu, HI 96822 USA;
2.Univ Hawaii, Int Pacific Res Ctr, Sch Ocean Earth Sci & Technol, Honolulu, HI 96822 USA;
3.Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Peoples R China;
4.Nanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing, Peoples R China;
5.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing, Peoples R China;
6.Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Peoples R China;
7.Nanjing Normal Univ, Sch GeographySci, Nanjing, Peoples R China
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GB/T 7714
Wang, Bin,Luo, Xiao,Sun, Weiyi,et al. El Nino Diversity Across Boreal Spring Predictability Barrier[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(13).
APA Wang, Bin,Luo, Xiao,Sun, Weiyi,Yang, Young-Min,&Liu, Jian.(2020).El Nino Diversity Across Boreal Spring Predictability Barrier.GEOPHYSICAL RESEARCH LETTERS,47(13).
MLA Wang, Bin,et al."El Nino Diversity Across Boreal Spring Predictability Barrier".GEOPHYSICAL RESEARCH LETTERS 47.13(2020).
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