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Low-Mode Internal Tide Propagation in a Turbulent Eddy Field

机译:湍流涡流场中的低模内部潮汐传播

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摘要

Understanding and predicting how internal tides distort and lose coherence as they propagate through the ocean has been identified as a key issue for interpreting data fromthe upcoming wide-swath altimeter mission Surface Water and Ocean Topography (SWOT). This study addresses the issue through the analysis of numerical experiments where a low-mode internal tide propagates through a quasigeostrophic turbulent jet. Equations of motion linearized around the slower turbulent field are projected onto vertical modes and assumed to describe the dynamics of the low-mode internal tide propagation. Diagnostics of the terms responsible for the interaction between the wave and the slow circulation are computed from the numerical outputs. The large-scale change of stratification, on top of eddies and jet meanders, contributes significantly to these interaction terms, which is shown to be consistent with an independent scaling analysis. The sensitivity of interaction terms to a degradation of the slow field spatial and temporal resolution indicates that present-day observing systems (Argo network, altimetry) may lack the spatial resolution necessary to correctly predict internal tide evolution. The upcoming SWOT satellite mission may improve upon this situation. The number of vertical modes required to properly estimate interaction terms is discussed. These results advocate development of a simplifiedmodel based on solving a modest number of the linearized equations subject to a prescribed mesoscale field and internal tide sources.
机译:理解和预测内部潮汐在海洋中传播时如何扭曲和失去连贯性,已被认为是解释即将到来的宽幅高度计任务地表水和海洋地形(SWOT)数据的关键问题。这项研究通过对数值模拟的分析解决了这个问题,在该数值模拟中,低潮汐内潮通过准地转湍流射流传播。围绕较慢的湍流场线性化的运动方程式被投影到垂直模式,并被假定用来描述低模式内部潮汐传播的动力学。从数值输出中计算出引起波浪与慢循环之间相互作用的项的诊断。除涡流和急流弯道外,分层的大规模变化对这些相互作用项也有很大的贡献,这与独立的尺度分析是一致的。相互作用项对慢场时空分辨率退化的敏感性表明,当今的观测系统(Argo网络,测高仪)可能缺乏正确预测内部潮汐演化所必需的空间分辨率。即将到来的SWOT卫星任务可能会改善这种情况。讨论了正确估计交互作用项所需的垂直模式的数量。这些结果提倡开发一种简化模型,该模型基于求解受规定的中尺度场和内部潮汐源影响的少量线性化方程。

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  • 来源
    《Journal of Physical Oceanography》 |2017年第3期|649-665|共17页
  • 作者单位

    Univ Brest, IUEM, CNRS, Lab Oceanog Phys Spatiale, Brest, France;

    Univ Brest, IUEM, CNRS, Lab Oceanog Phys Spatiale, Brest, France;

    Univ Brest, IUEM, CNRS, Lab Oceanog Phys Spatiale, Brest, France|CALTECH, NASA, Jet Prop Lab, Pasadena, CA 91125 USA;

    Univ Brest, IUEM, CNRS, Lab Oceanog Phys Spatiale, Brest, France;

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