| YI Jiawei,DU Yunyan,WANG Dongxiao,ZHOU Chenghu. 2017. Tracking the evolution processes and behaviors of mesoscale eddies in the South China Sea:a global nearest neighbor filter approach. Acta Oceanologica Sinica, 36(11):27－37 |
| Tracking the evolution processes and behaviors of mesoscale eddies in the South China Sea:a global nearest neighbor filter approach |
| 南海中尺度涡的演化过程与行为追踪:一种基于全局最邻近滤波的方法 |
| Received:July 27, 2016 Revised:November 29, 2016 |
| DOI：10.1007/s13131-017-1136-6 |
| Key words:mesoscale ocean eddies eddy tracking eddy split eddy merger South China Sea |
| 中文关键词: 中尺度涡 涡旋追踪 涡旋分裂 涡旋合并 中国南海 |
| 基金项目: |
| Author Name | Affiliation | E-mail | | YI Jiawei | State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China | | | DU Yunyan | State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China | duyy@lreis.ac.cn | | WANG Dongxiao | State Key Laboratory of Tropical Oceanography(LTO), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China | | | ZHOU Chenghu | State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China | |
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| Abstract: |
| The eddy tracking approach is developed using the global nearest neighbor filter (GNNF) to investigate the evolution processes and behaviors of mesoscale eddies in the South China Sea (SCS). Combining the Kalman filter and optimal data association technologies, the GNNF algorithm is able to reduce pairing errors to 0.2% in tracking synthetic eddy tracks, outperforming other existing methods. A total of 4 913 eddy tracks that last more than a week are obtained by the GNNF during 1993-2012. The analysis of a growth and a decay based on 3 445 simple eddy tracks show that eddy radius, amplitude, and vorticity smoothly increase during the first half of lifetime and decline during the second half following a parabola opening downwards. The genesis of eddies mainly clusters northwest and southwest of Luzon Island whereas the dissipations concentrate the Xisha Islands where the underwater bay traps and terminates eddies. West of the Luzon Strait, northwest of Luzon Island, and southeast of Vietnam are regions where eddy splits and mergers are frequently observed. Short disappearances mainly distribute in the first two regions. Moreover, eddy splits generally result in a decrease of the radius and the amplitude whereas eddy mergers induce growing up. Eddy intensity and vorticity, on the contrary, are strengthened in the eddy splits and diminished in mergers. |
| 中文摘要: |
| 本文提出了一种基于全局最邻近滤波的涡旋追踪算法（GNNF），用于探索分析南海中尺度涡旋的时空演化过程以及演化行为特征。该算法主要结合了卡尔曼滤波和最优数据关联技术来实现涡旋的迭代追踪。在追踪模拟生成的涡旋轨迹实验中，GNNF算法的追踪错误率约为0.2%，优于目前常用的其他两种涡旋追踪算法。本文采用GNNF方法对1993-2012年的南海涡旋进行了实例研究，一共提取出4912条生命时间超过一周的涡旋轨迹。通过对其中3445条简单演化轨迹的统计分析，本文发现涡旋的生命演化过程存在比较明显的增长和消亡阶段，涡旋的半径、强度和涡度等属性在生命前半段平缓上升变化，后半段平缓下降，涡旋属性的整个变化趋势基本呈开口向下的抛物线状。通过对演化行为进行分析，本文发现涡旋的产生集中在吕宋岛西北和西南两个区域，而涡旋的消亡集中在西沙群岛附近。涡旋的分裂和合并主要分布在吕宋海峡以西，吕宋岛西北，以及越南外海东南海域，而涡旋消隐重现则主要发生在前面两个区域。通过分析涡旋属性在分裂合并等演化行为的前后变化，本文发现涡旋分裂往往导致半径减小和强度减弱，而能量密度和涡度均增加，相反，合并往往增大涡旋半径和强度，但降低了涡旋的能量密度与涡度。 |
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