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The spatiotemporal variation of the wind-induced near-inertial energy flux in the mixed layer of the South China Sea

机译:南海混合层风致近惯性能量通量的时空变化

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摘要

On the basis of the QSCAT/NCEP blended wind data and simple ocean data assimilation (SODA), the wind-induced near-inertial energy flux (NIEF) in the mixed layer of the South China Sea (SCS) is estimated by a slab model, and the model results are verified by observational data near the Xisha Islands in the SCS. Then, the spatial and temporal variations of the NIEF in the SCS are analyzed. It is found that, the monthly mean NIEF exhibits obvious spatial and temporal variabilities, i.e., it is large west of Luzon Island all the year, east of the Indo-China Peninsula all the year except in spring, and in the northern SCS from May to Septem-ber. The large monthly mean NIEF in the first two zones may be affected by the large local wind stress curl whilst that in the last zone is probably due to the shallow mixed layer depth. Moreover, the monthly mean NIEF is relatively large in summer and autumn due to the passage of typhoons. The spatial mean NIEF in the mixed layer of the SCS is estimated to be about 1.25 mW/m2 and the total wind energy input from wind is approximately 4.4 GW. Furthermore, the interannual variability of the spatial monthly mean NIEF and the Niño3.4 index are negatively correlated.
机译:在QSCAT / NCEP混合风数据和简单海洋数据同化(SODA)的基础上,通过平板模型估算了南海混合层(SCS)中风致近惯性能量通量(NIEF)。 ,并通过南海西沙群岛附近的观测数据验证了模型结果。然后,分析了SCS中NIEF的时空变化。研究发现,月平均NIEF表现出明显的时空变化,即全年除吕宋岛以西,印度支那半岛以东以外,除春季以外,全年均在大范围内; 5月以来在南海北部到9月。前两个区域较大的月平均NIEF可能会受到局部风应力大弯角的影响,而最后一个区域的NIEF可能是由于混合层深度较浅。此外,由于台风的侵袭,夏季和秋季的月平均NIEF相对较大。 SCS混合层中的空间平均NIEF估计约为1.25 mW / m2,来自风的总风能输入约为4.4 GW。此外,空间月均NIEF和Niño3.4指数的年际变化呈负相关。

著录项

  • 来源
    《海洋学报(英文版)》 |2015年第1期|66-72|共7页
  • 作者单位

    State Key Laboratory of Tropical 0ceanography, South China Sea Institute of 0ceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

    State Key Laboratory of Tropical 0ceanography, South China Sea Institute of 0ceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

    State Key Laboratory of Tropical 0ceanography, South China Sea Institute of 0ceanology, Chinese Academy of Sciences, Guangzhou 510301, China;

    Institute of Earth and Space Information Science, Chinese University of Hong Kong, Hong Kong, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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