IOCAS-IR  > 海洋环流与波动重点实验室
Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning
Liu, Yingjie1,2; Zheng, Quanan3; Li, Xiaofeng1,2
2021-09-16
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
卷号48期号:17页码:11
通讯作者Li, Xiaofeng(xiaofeng.li@ieee.org)
摘要Recent satellite sea surface height (SSH) and sea surface temperature (SST) observations have shown that abnormal eddies, that is, warm cyclonic eddies and cold anticyclonic eddies occur sporadically in some regions, which triggers an essential question on the spatiotemporal distribution of abnormal eddies in the global ocean. In this study, a deep learning framework was developed to systematically mine information from the synergy of satellite-sensed global SSH and SST data over the 1996-2015, 20-year period. Abnormal eddies account for a surprising one-third of total eddies and are active along the Equatorial Current and high unstable currents. Normal (abnormal) eddies are stronger in winter (summer) in the North Hemisphere and vice versa in the Southern Hemisphere. The annual mean amplitudes of normal eddies are larger than that of abnormal eddies. Crucially, the daily number of normal (abnormal) eddies increased (decreased) 9.68 (11.80) every year.
关键词meososcale eddies abnormal eddies multi-source remote sensing data deep learning data fusion statistical analysis of spatiotemporal characteristics
DOI10.1029/2021GL094772
收录类别SCI
语种英语
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDB42000000] ; Major Scientific and Technological Innovation Projects of Shandong Province[2019JZZY010102] ; Key Project of the Center for Ocean Mega-Science, Chinese Academy of Sciences[COMS2019R02] ; CAS Program[Y9KY04101L] ; National Natural Science Foundation of China[U2006211]
WOS研究方向Geology
WOS类目Geosciences, Multidisciplinary
WOS记录号WOS:000694653200068
出版者AMER GEOPHYSICAL UNION
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被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/176362
专题海洋环流与波动重点实验室
通讯作者Li, Xiaofeng
作者单位1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao, Peoples R China
3.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
第一作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
通讯作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
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Liu, Yingjie,Zheng, Quanan,Li, Xiaofeng. Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning[J]. GEOPHYSICAL RESEARCH LETTERS,2021,48(17):11.
APA Liu, Yingjie,Zheng, Quanan,&Li, Xiaofeng.(2021).Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning.GEOPHYSICAL RESEARCH LETTERS,48(17),11.
MLA Liu, Yingjie,et al."Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning".GEOPHYSICAL RESEARCH LETTERS 48.17(2021):11.
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