A new automatic oceanic mesoscale eddy detection method using satellite altimeter data based on density clustering

doi:10.1007/s13131-019-1447-x

	A new automatic oceanic mesoscale eddy detection method using satellite altimeter data based on density clustering
	Li, Jitao 1; Liang, Yongquan 1; Zhang, Jie 2; Yang, Jungang 2; Song, Pingjian 2; Cui, Wei 2,3
刊名	ACTA OCEANOLOGICA SINICA
	2019-05
卷号	38 期号:5 页码:134-141
关键词	mesoscale eddy density clustering shape discrimination outermost closed contour
ISSN号	0253-505X
DOI	10.1007/s13131-019-1447-x
英文摘要	The mesoscale eddy is a typical mesoscale oceanic phenomenon that transfers ocean energy. The detection and extraction of mesoscale eddies is an important aspect of physical oceanography, and automatic mesoscale eddy detection algorithms are the most fundamental tools for detecting and analyzing mesoscale eddies. The main data used in mesoscale eddy detection are sea level anomaly (SLA) data merged by multi-satellite altimeters' data. These data objectively describe the state of the sea surface height. The mesoscale eddy can be represented by a local equivalent region surrounded by an SLA closed contour, and the detection process requires the extraction of a stable closed contour structure from SLA maps. In consideration of the characteristics of mesoscale eddy detection based on SLA data, this paper proposes a new automatic mesoscale eddy detection algorithm based on clustering. The mesoscale eddy structure can be extracted by separating and filtering SLA data sets to separate a mesoscale eddy region and non-eddy region and then establishing relationships among eddy regions and mapping them on SLA maps. This paper overcomes the problem of the sensitivity of parameter setting that affects the traditional detection algorithm and does not require a sensitivity test. The proposed algorithm is thus more adaptable. An eddy discrimination mechanism is added to the algorithm to ensure the stability of the detected eddy structure and to improve the detection accuracy. On this basis, the paper selects the Northwest Pacific Ocean and the South China Sea to carry out a mesoscale eddy detection experiment. Experimental results show that the proposed algorithm is more efficient than the traditional algorithm and the results of the algorithm remain stable. The proposed algorithm detects not only stable single-core eddies but also stable multi-core eddy structures.
资助项目	National Programme on Global Change and Air-Sea Interaction[GASI-02-PAC-YGST2-04] ; National Programme on Global Change and Air-Sea Interaction[GASI-02-IND-YGST2-04] ; National Programme on Global Change and Air-Sea Interaction[GASI-02-SCS-YGST2-04]
WOS关键词	EDDIES ; ALGORITHM ; SEA
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000484973600013
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30069]
专题	自然资源部第一海洋研究所
通讯作者	Yang, Jungang
作者单位	1.Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Shandong, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Shandong, Peoples R China 3.Ocean Univ China, Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Phys Oceanog Lab, Qingdao 266100, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Li, Jitao,Liang, Yongquan,Zhang, Jie,et al. A new automatic oceanic mesoscale eddy detection method using satellite altimeter data based on density clustering[J]. ACTA OCEANOLOGICA SINICA,2019,38(5):134-141.
APA	Li, Jitao,Liang, Yongquan,Zhang, Jie,Yang, Jungang,Song, Pingjian,&Cui, Wei.(2019).A new automatic oceanic mesoscale eddy detection method using satellite altimeter data based on density clustering.ACTA OCEANOLOGICA SINICA,38(5),134-141.
MLA	Li, Jitao,et al."A new automatic oceanic mesoscale eddy detection method using satellite altimeter data based on density clustering".ACTA OCEANOLOGICA SINICA 38.5(2019):134-141.