Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning

doi:10.1029/2021GL094772

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, Yingjie 1,2; Zheng, Quanan 3; Li, Xiaofeng 1,2
	2021-09-16
发表期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
卷号	48 期号:17 页码:11
通讯作者	Li, Xiaofeng([email protected])
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
DOI	10.1029/2021GL094772
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
引用统计	被引频次：48[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
推荐引用方式 GB/T 7714	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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2021GL094772.pdf（1562KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览