| 南海东北部亚中尺度过程时空分布特征 |
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| 引用本文： | 董济海,钟贻森.南海东北部亚中尺度过程时空分布特征[J].海洋学报(英文版),2018,37(11):8-18. |
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| 作者姓名： | 董济海 钟贻森 |
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| 作者单位： | 海洋科学学院, 南京信息工程大学, 南京, 210044,海洋研究院, 上海交通大学, 上海, 200240 |
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| 摘 要： | 基于高分辨率模型2009-2012年的模拟结果，本文对南海东北部亚中尺度过程的时空分布特征进行了研究。模拟结果表明，南海东北部上层广泛存在着相对涡度接近于局地行星涡度的亚中尺度过程。统计结果发现，亚中尺度过程的相对涡度的分布具有着明显的非对称性，即正涡度明显强于负涡度。这意味着相比于负涡度，具有正涡度的亚中尺度过程要更为活跃，而这主要是由离心不稳定导致。同时，亚中尺度过程在时间分布上表现出明显的冬强夏弱的季节变化特征。通过对该海区亚中尺度过程可能生成机制的分析发现，该季节变化与流场拉伸和混合层的厚度有着密切关系，冬季更强的流场拉伸和更深的混合层有利于通过锋生过程和混合层不稳定为亚中尺度过程生成提供更多的能量。
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| 关 键 词： | 亚中尺度过程 南海 锋生 混合层不稳定 |
| 收稿时间： | 2018/3/29 0:00:00 |
The spatiotemporal features of submesoscale processes in the northeastern South China Sea |
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| DONG Jihai and ZHONG Yisen.The spatiotemporal features of submesoscale processes in the northeastern South China Sea[J].Acta Oceanologica Sinica,2018,37(11):8-18. |
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| Authors: | DONG Jihai and ZHONG Yisen |
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| Institution: | 1.School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China2.Institute of Oceanology, Shanghai Jiaotong University, Shanghai 200240, China |
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| Abstract: | The spatiotemporal features of submesoscale processes (SMPs) in the northeastern South China Sea (SCS) are analyzed based on a high-resolution simulation from 2009 to 2012. The simulation results show that the SMPs with a vertical relative vorticity that matches the local planetary vorticity are ubiquitous in the upper ocean of the northeastern SCS. The SMPs distribution shows an asymmetry due to centrifugal instability, with stronger positive vorticity than negative vorticity. Meanwhile, the SMPs demonstrate an obvious seasonal variation. The SMPs are strong and active in winter but weak and inactive in summer. An investigation of the SMPs generation mechanisms reveals that flow straining and mixed layer depth account for this seasonal variation. The strong flow straining and deep mixed layer depth in winter favor the SMP generation via frontogenesis and mixed layer instability. |
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| Keywords: | submesoscale processes South China Sea frontogenesis mixed layer instability |
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