中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Nino Prediction

文献类型:期刊论文

作者Wang, Jianing1,2; Lu, Youyu3; Wang, Fan1,2,4; Zhang, Rong-Hua1,2,4
刊名SCIENTIFIC REPORTS
出版日期2017-03-13
卷号7
英文摘要The El Nino and Southern Oscillation (ENSO) is the most prominent sources of inter-annual climate variability. Related to the seasonal phase-locking, ENSO's prediction across the low-persistence barrier in the boreal spring remains a challenge. Here we identify regions where surface current variability influences the short-lead time predictions of the July Nino 3.4 index by applying a regression analysis. A highly influential region, related to the distribution of wind-stress curl and sea surface temperature, is located near the dateline and the southern edge of the South Equatorial Current. During El Nino years, a westward current anomaly in the identified high-influence region favours the accumulation of warm water in the western Pacific. The opposite occurs during La Nino years. This process is seen to serve as the "goal shot" for ENSO development, which provides an effective precursor for the prediction of the July Nino 3.4 index with a lead time of 2-4 months. The prediction skill based on surface current precursor beats that based on the warm water volume and persistence in the subsequent months after July. In particular, prediction based on surface current precursor shows skill in all years, while predictions based on other precursors show reduced skill after 2002.
收录类别SCI
语种英语
WOS记录号WOS:000396869100014
版本出版稿
源URL[http://ir.qdio.ac.cn/handle/337002/136757]  
专题海洋研究所_海洋环流与波动重点实验室
海洋研究所_实验海洋生物学重点实验室
作者单位1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Lab Ocean & Climate Dynam, Qingdao, Peoples R China
3.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS, Canada
4.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jianing,Lu, Youyu,Wang, Fan,et al. Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Nino Prediction[J]. SCIENTIFIC REPORTS,2017,7.
APA Wang, Jianing,Lu, Youyu,Wang, Fan,&Zhang, Rong-Hua.(2017).Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Nino Prediction.SCIENTIFIC REPORTS,7.
MLA Wang, Jianing,et al."Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Nino Prediction".SCIENTIFIC REPORTS 7(2017).

入库方式: OAI收割

来源:海洋研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。