New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale
文献类型:期刊论文
作者 | Fu Y(傅洋)2,3,4![]() ![]() |
刊名 | IEEE ACCESS
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出版日期 | 2020 |
卷号 | 8页码:66448-66455 |
关键词 | Ocean temperature Salinity (geophysical) Conductivity Temperature Temperature measurement Sea measurements Vertical structure joint classification ocean temperature salinity electric conductivity power-law behavior |
ISSN号 | 2169-3536 |
产权排序 | 1 |
英文摘要 | Ocean temperature, salinity, and electric conductivity are essential ocean properties. Their structure and changes directly impact physical, chemical and biological processes in oceans. Since the 1970s, numerous researches have focused on the morphological analysis of vertical profiles in oceanography. However, due to the complexity of an ocean environment, most of them are conducted at local scales or only focus on single elements, e.g., ocean temperature or salinity. This work aims to achieve the joint classification of the vertical structure of ocean properties at a global scale and present two-dimension regional characteristics. Based on 150 seawater profiles from the National Oceanographic Data Center, this work explores such characteristics of ocean temperature, salinity and electric conductivity in the deep sea and achieves global-scale joint classification. We demonstrate that their vertical features have clear regional characteristics and can be classified into four types, i.e., bidirectional gradient, homo-dromous contravariant, homo-dromous gradient, and homodromous gradient (salinity) ones. In addition, our results prove that there exist the power-law distributions of these three factors in intermediate water, which may be explained through the self-organization theory. Moreover, the & x2018;up-tail & x2019; phenomenon is widely discovered in the vertical structure of electric conductivity, and it may be considered as a combined effect caused by temperature, pressure, and salinity. |
WOS关键词 | NORTH-ATLANTIC OCEAN ; ELECTRICAL-CONDUCTIVITY ; PRACTICAL SALINITY ; MIXED-LAYER ; PACIFIC OCEANS ; TEMPERATURE ; VARIABILITY ; WATER ; SEA ; SEAWATER |
资助项目 | Program for National Natural Science Foundation[71671182] ; Program for One-hundred Talent Program of the Chinese Academy of Sciences[Y5AA100A01] ; Liaoning Revitalization Talents Program[XLYC1907166] ; Liaoning Province Department of Education Foundation of China[L2019027] ; Liaoning Province Dr. Research Foundation of China[20170520135] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000527415800006 |
资助机构 | Program for National Natural Science Foundation [71671182] ; Program for One-hundred Talent Program of the Chinese Academy of Sciences [Y5AA100A01] ; Liaoning Revitalization Talents Program [XLYC1907166] ; Liaoning Province Department of Education Foundation of China [L2019027] ; Liaoning Province Dr. Research Foundation of China [20170520135] |
源URL | [http://ir.sia.cn/handle/173321/26750] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
通讯作者 | Zheng ZY(郑泽宇) |
作者单位 | 1.Computer and Communication Engineering College, Liaoning Shihua University, Fushun 113001, China 2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 5.Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA |
推荐引用方式 GB/T 7714 | Fu Y,Zheng ZY,Zhou MC,et al. New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale[J]. IEEE ACCESS,2020,8:66448-66455. |
APA | Fu Y,Zheng ZY,Zhou MC,Yuan HT,&Guo XW.(2020).New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale.IEEE ACCESS,8,66448-66455. |
MLA | Fu Y,et al."New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale".IEEE ACCESS 8(2020):66448-66455. |
入库方式: OAI收割
来源:沈阳自动化研究所
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