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首页> 外文期刊>Journal of Physical Oceanography >Exact Solutions of Wind-Driven Coastal Upwelling and Downwelling over Sloping Topography
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Exact Solutions of Wind-Driven Coastal Upwelling and Downwelling over Sloping Topography

机译:倾斜地形上风驱动的海岸上升流和下降流的精确解

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摘要

The dynamics of wind-driven coastal upwelling and downwelling are studied using a simplified dynamical model. Exact solutions are examined as a function of time and over a family of sloping topographies. Assumptions in the two-dimensional model include a frictionless ocean interior below the surface Ekman layer and no along-slope dependence of the variables; however, dependence in the cross-slope and vertical directions is retained. Density and the along-slope component of momentum are advected by the cross-slope velocity, with thermal wind balance maintained at all times. The time-dependent initial value problem is solved with constant initial stratification and no initial along-slope flow. Previously, this model has been used to study upwelling over flat-bottomed ocean, but the novel features in this work are the study of exact solutions for a family of sloping topographic profiles, for both upwelling and downwelling. The exact solutions are compared to numerical solutions from a primitive equation ocean model configured in a similar two-dimensional geometry. The exact solutions predict that deep undercurrents will develop only over steep topographic slopes and the cross-slope flow in the deep friclionless interior will be increasingly surface intensified as the topographic slope increases.
机译:使用简化的动力学模型研究了风驱动的海岸上升流和下降流的动力学。精确的解决方案将根据时间和一系列倾斜地形进行检查。二维模型中的假设包括:在表面埃克曼层以下的无摩擦海洋内部,并且没有变量的沿坡度依赖性;但是,保持了在横坡和垂直方向上的依赖性。密度和动量的沿坡度分量通过坡度速度进行平流,并且始终保持热风平衡。具有时间依赖性的初始值问题通过恒定的初始分层和没有初始的沿斜坡流动来解决。以前,此模型已用于研究平底海洋的上升流,但是这项工作的新颖之处在于研究了一系列倾斜地形剖面的精确解,包括上升流和下降流。将精确解与以类似二维几何结构配置的原始方程海洋模型的数值解进行比较。精确的解决方案预测,深的暗流将仅在陡峭的地形坡度上发展,并且随着地形坡度的增加,无摩擦的深部内部的交叉坡面流将越来越多地被表面强化。

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  • 来源
    《Journal of Physical Oceanography》 |2011年第7期|p.1277-1296|共20页
  • 作者单位

    Department of Mathematics, California Polytechnic State University, San Luis Obispo, California;

    Department of Mathematics, California Polytechnic State University, San Luis Obispo, California;

    Department of Mathematics, California Polytechnic State University, San Luis Obispo, California;

    Department of Mathematics, California Polytechnic State University, San Luis Obispo, California;

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