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Mesoscale oceanic eddies in the South China Sea from 1992 to 2012:evolution processes and statistical analysis

Acta Oceanologica Sinica 2014年第11期33卷 36-47页

作者： DU Yunyan YI Jiawei WU Di HE Zhigang WANG Dongxiao LIANG Fuyuan State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences State Key Laboratory of Tropical Oceanography (LTO) South China Sea Institute of OceanologyChinese Academy of Sciences College of Ocean and Earth Sciences Xiamen University Department of Geography Western Illinois University

Automated identification and tracking of mesoscale ocean eddies has recently become one research hotspot in physical oceanography. Several methods have been developed and applied to survey the general kinetic and geometric characteristics of the ocean eddies in the South China Sea（SCS）. However, very few studies attempt to examine eddies＇ internal evolution processes. In this study, we reported a hybrid method to trace eddies＇ propagation in the SCS based on their internal structures, which are characterized by eddy centers, footprint borders, and composite borders. eddy identification and tracking results were represented by a GIS-based spatiotemporal model. Information on instant states, dynamic evolution processes, and events of disappearance, reappearance, split, and mergence is stored in a GIS database. Results were validated by comparing against the ten Dongsha Cyclonic Eddies（DCEs） and the three long-lived anticyclonic eddies（ACEs） in the northern SCS, which were reported in previous literature. Our study confirmed the development of these eddies. Furthermore, we found more DCE-like and ACE-like eddies in these areas from 2005 to 2012 in our database. Spatial distribution analysis of disappearing, reappearing, splitting, and merging activities shows that eddies in the SCS tend to cluster to the northwest of Luzon Island, southwest of Luzon Strait, and around the marginal sea of Vietnam. Kuroshio intrusions and the complex sea floor topography in these areas are the possible factors that lead to these spatial clusters.

关键词： mesoscale eddies identification and tracking algorithms spatiotemporal model eddy splitting and merging South China Sea

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