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An adaptive grid technique for the vertical structure of shallow water models

机译:浅水模型垂直结构的自适应网格技术

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The efficient resolution of the boundary layers occurring in geophysical flows has motivated the search for criteria to optimize the vertical nodal placement in three-dimensional (3D) shallow water models. This paper describes the implementation and testing of an adaptive grid technique for the internal mode of shallow water models. The technique uses an r-method in which the nodes are moved vertically based on he velocity gradients between consecutive nodes. One-dimensional (1D) tests show that the method behaves well in tidal- and wind-driven flows, both in well-mixed and stratified conditions. Average accuracy improvements of 50/100 were obtained relative to uniform grids, with a 15/100 CPU time increase. The adaptive technqiue accounts accurately for the space and time variability of the flow, thus being attractive for any type of problem. Furthermore, the technique does not require an a priori knowledge of the flow conditions, thus simplifying greatly the modeling procedure.
机译:在地球物理流中发生的边界层的有效分辨率促使人们寻找标准,以优化三维(3D)浅水模型中的垂直节点位置。本文介绍了浅水模型内部模式的自适应网格技术的实现和测试。该技术使用一种r方法,其中节点根据连续节点之间的速度梯度垂直移动。一维(1D)测试表明,该方法在潮气和气流驱动的混合和分层条件下均表现良好。相对于均匀网格,平均精度提高了50/100,而CPU时间却增加了15/100。自适应技术可以准确地说明流量的空间和时间可变性,因此对任何类型的问题都具有吸引力。此外,该技术不需要先验的流动条件知识,从而大大简化了建模过程。

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