Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning
文献类型：期刊论文
| 作者 | Liu, Yingjie1,2; Zheng, Quanan3; Li, Xiaofeng1,2 |
| 刊名 | GEOPHYSICAL RESEARCH LETTERS
 |
| 出版日期 | 2021-09-16 |
| 卷号 | 48期号:17页码:11 |
| 关键词 | meososcale eddies abnormal eddies multi-source remote sensing data deep learning data fusion statistical analysis of spatiotemporal characteristics |
| ISSN号 | 0094-8276 |
| DOI | 10.1029/2021GL094772 |
| 通讯作者 | Li, Xiaofeng(xiaofeng.li@ieee.org) |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000694653200068 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/176361]  |
| 专题 | 海洋研究所_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 |
| 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. |
入库方式： OAI收割
来源：海洋研究所
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