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The cruise observation of turbulent mixing in the upwelling region east of Hainan Island in the summer of 2012

机译:2012年夏季在海南岛以东的上升流区的湍流混合巡航观测

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摘要

The turbulent mixing in the upwelling region east of Hainan Island in the South China Sea is analyzed based onin situ microstructure observations made in July 2012. During the observation, strong upwelling appears in the coastal waters, which are 3℃ cooler than the offshore waters and have a salinity 1.0 greater than that of the offshore waters. The magnitude of the dissipation rate of turbulent kinetic energyε in the upwelling region is O (10-9 W/kg), which is comparable to the general oceanic dissipation. The inferred eddy diffusivity Kρ is O (10-6 m2/s), which is one order of magnitude lower than that in the open ocean. The values are elevated to Kρ≈O (10-4 m2/s) near the boundaries. Weak mixing in the upwelling region is consistent with weak instability as a result of moderate shears versus strong stratifications by the joint influence of surface heating and upwelling of cold water. The validity of two fine-scale structure mixing parameterization models are tested by comparison with the observed dissipation rates. The results indicate that the model developed by MacKinnon and Gregg in 2003 provides relatively better estimates with magnitudes close to the observations. Mixing parameterization models need to be further improved in the coastal upwelling region.
机译:根据2012年7月进行的原位微结构观测分析了南海海南岛以东上升流区域的湍流混合。在观测期间,沿海水域出现了强烈的上升流,其温度比近海水温低3℃,而的盐度比近海的盐度大1.0。上升流区湍动能ε耗散率的大小为O(10-9 W / kg),与一般的海洋耗散相当。推断的涡流扩散率Kρ为O(10-6 m2 / s),比公海低1个数量级。该值在边界附近提高到Kρ≈O(10-4 m2 / s)。上升流区域的弱混合与弱的不稳定性相一致,这是中等剪切力与表面加热和冷水上升流共同影响的强烈分层导致的。通过与观察到的耗散率进行比较,测试了两个精细结构混合参数化模型的有效性。结果表明,由MacKinnon和Gregg在2003年开发的模型提供了相对更好的估计值,其幅度接近于观测值。在沿海上升流地区,混合参数化模型需要进一步改进。

著录项

  • 来源
    《海洋学报(英文版)》 |2018年第9期|1-12|共12页
  • 作者单位

    Guangdong Key Laboratory of Coastal Ocean Variability and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China;

    Guangdong Key Laboratory of Coastal Ocean Variability and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China;

    Physical Oceanography Laboratory, Ocean University of China, Qingdao 266003, China;

    Guangdong Key Laboratory of Coastal Ocean Variability and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China;

    Institute of Oceanography, Shanghai Jiaotong University, Shanghai 200240, China;

    Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266200, China;

    Guangdong Key Laboratory of Coastal Ocean Variability and Disaster Prediction, Guangdong Ocean University, Zhanjiang 524088, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:57:49
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