Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL087354 |
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 |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
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 |
URL | 查看原文 |
引用统计 | |
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 |
推荐引用方式 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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