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学科主题: Meteorology & Atmospheric Sciences ; Oceanography
题名: Enhancing the accuracy of automatic eddy detection and the capability of recognizing the multi-core structures from maps of sea level anomaly
作者: Yi, J ; Du, Y ; He, Z ; Zhou, C
通讯作者: duyy@lreis.ac.cn
刊名: OCEAN SCIENCE
发表日期: 2014
卷: 10, 期:1, 页:39-48
收录类别: sci
部门归属: [Yi, J. ; Du, Y. ; Zhou, C.] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China ; [He, Z.] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog LTO, Guangzhou 510301, Guangdong, Peoples R China ; [He, Z.] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen 361005, Peoples R China
项目归属: LTO
资助者: National Science Foundation of China [41071250, 41371378]; Innovation Projects of the State Key Laboratory of Resource and Environment Information System, Chinese Academy of Sciences [088RA500KA]; Cnes
摘要: Automated methods are important for automatically detecting mesoscale eddies in large volumes of altimeter data. While many algorithms have been proposed in the past, this paper presents a new method, called hybrid detection (HD), to enhance the eddy detection accuracy and the capability of recognizing eddy multi-core structures from maps of sea level anomaly (SLA). The HD method has integrated the criteria of the Okubo-Weiss (OW) method and the sea surface height-based (SSH-based) method, two commonly used eddy detection algorithms. Evaluation of the detection accuracy shows that the successful detection rate of HD is similar to 96.6% and the excessive detection rate is similar to 14.2%, which outperforms the OW and those methods using SLA extrema to identify eddies. The capability of recognizing multi-core structures and its significance in tracking eddy splitting or merging events have been illustrated by comparing with the detection results of different algorithms and observations in previous literature.
原文出处: 查看原文
WOS记录号: WOS:000332316200004
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10586
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Yi, J; Du, Y; He, Z; Zhou, C.Enhancing the accuracy of automatic eddy detection and the capability of recognizing the multi-core structures from maps of sea level anomaly,OCEAN SCIENCE,2014,10(1):39-48
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