中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recent ENSO evolution and its real-time prediction challenges

文献类型:CNKI期刊论文

作者Rong-Hua Zhang; Chuan Gao; Licheng Feng
发表日期2022-04-30
出处National Science Review
关键词SST Recent ENSO evolution and its real-time prediction challenges
英文摘要<正>The El Ni?o-Southern Oscillation(ENSO) is a major interannually re occurring mode of Earth's climate system that originates naturally from oceanatmosphere interactions in the tropical Pacific and can affect the weather and climate worldwide.ENSO has been observed to undergo decadal variations and modulations [1-3],including the intensity,asymmetry of its two phases(El Ni?o and La Ni?a),different types of El Ni?o and multiyear La Ni?a and El Ni?o events.One well-known example occurred during the so-called 1976-1977climate shift [4],with El Ni?o events emerging frequently in the tropical Pacific during the 1980s and 1990s.
文献子类CNKI期刊论文
资助机构supported by the National Natural Science Foundation of China (NSFC,42176032) ; supported by the NSFC (42030410 and 41690122(41690120)) ; the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19060102 and XDB 40000000) ; supported by the NSFC (41576029)
v.9期:04页:7-10
语种英文;
分类号P732
ISSN号2095-5138
源URL[http://ir.qdio.ac.cn/handle/337002/187443]  
专题中国科学院海洋研究所
作者单位1.InstituteofOceanology,andCenterforOceanMega-Science,ChineseAcademyofSciences
2.NationalMarineEnvironmentalForecastingCenter,MinistryofNaturalResources
3.PilotNationalLaboratoryforMarineScienceandTechnology
推荐引用方式
GB/T 7714
Rong-Hua Zhang,Chuan Gao,Licheng Feng. Recent ENSO evolution and its real-time prediction challenges. 2022.

入库方式: OAI收割

来源:海洋研究所

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