热带海洋学报 ›› 2013, Vol. 32 ›› Issue (2): 15-23.doi: 10.11978/j.issn.1009-5470.2013.02.002

• 海洋水文学 • 上一篇    下一篇

An improved, SSH-based method to automatically identify mesoscale eddies in the ocean

WANG Xin1, 2, DU Yun-yan1, ZHOU Cheng-hu1, FAN Xing1, YI Jia-wei1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Geomatics College, Shandong University of Science and Technology, Qingdao 266510, China
  • 收稿日期:2011-10-30 修回日期:2012-11-04 出版日期:2013-06-10 发布日期:2013-06-10
  • 通讯作者: Corresponding author: DU Yun-yan. E-mail: duyy@lreis.ac.cn
  • 作者简介:WANG Xin (1987?), female, from Jinan of Shandong Province, master, research on automatic identification of mesoscale eddies’s process and construction of spatio-temporal process case base. E-mail: wangx@lreis.ac.cn
  • 基金资助:

    Fundation item: This study is jointly supported by a grant from the National Natural Science Foundation of China (General Program) (41071250) and Innovation Program of State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (088RA500KA)

An improved, SSH-based method to automatically identify mesoscale eddies in the ocean

WANG Xin1, 2, DU Yun-yan1, ZHOU Cheng-hu1, FAN Xing1, YI Jia-wei1   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Geomatics College, Shandong University of Science and Technology, Qingdao 266510, China
  • Received:2011-10-30 Revised:2012-11-04 Online:2013-06-10 Published:2013-06-10
  • Contact: Corresponding author: DU Yun-yan. E-mail: duyy@lreis.ac.cn
  • Supported by:

    Fundation item: This study is jointly supported by a grant from the National Natural Science Foundation of China (General Program) (41071250) and Innovation Program of State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (088RA500KA)

摘要:

Mesoscale eddies are an important component of oceanic features. How to automatically identify these mesoscale eddies from available data has become an important research topic. Through careful examination of existing methods, we propose an improved, SSH-based automatic identification method. Using the inclusion relation of enclosed SSH contours, the mesoscale eddy boundary and core(s) can be automatically identified. The time evolution of eddies can be examined by a threshold search algorithm and a tracking algorithm based on similarity. Sea-surface height (SSH) data from Naval Research Laboratory Layered Ocean Model (NLOM) and sea-level anomaly (SLA) data from altimeter are used in the many experiments, in which different automatic identification methods are compared. Our results indicate that the improved method is able to extract the mesoscale eddy boundary more precisely, retaining the multiple-core structure. In combination with the tracking algorithm, this method can capture complete mesoscale eddy processes. It can thus provide reliable information for further study of reconstructing eddy dynamics, merging, splitting, and evolution of a multi-core structure.

关键词: mesoscale eddy, automatic identification, spatiotemporal process, sea-surface height, CLC number: P731, Document code: A, Serial number: 1009-5470(2013)02-0015-09

Abstract:

Mesoscale eddies are an important component of oceanic features. How to automatically identify these mesoscale eddies from available data has become an important research topic. Through careful examination of existing methods, we propose an improved, SSH-based automatic identification method. Using the inclusion relation of enclosed SSH contours, the mesoscale eddy boundary and core(s) can be automatically identified. The time evolution of eddies can be examined by a threshold search algorithm and a tracking algorithm based on similarity. Sea-surface height (SSH) data from Naval Research Laboratory Layered Ocean Model (NLOM) and sea-level anomaly (SLA) data from altimeter are used in the many experiments, in which different automatic identification methods are compared. Our results indicate that the improved method is able to extract the mesoscale eddy boundary more precisely, retaining the multiple-core structure. In combination with the tracking algorithm, this method can capture complete mesoscale eddy processes. It can thus provide reliable information for further study of reconstructing eddy dynamics, merging, splitting, and evolution of a multi-core structure.

Key words: mesoscale eddy, automatic identification, spatiotemporal process, sea-surface height, CLC number: P731, Document code: A, Serial number: 1009-5470(2013)02-0015-09