变形地形边界的表面阻力:半理想化模型试验

Yi Li, C. Epifanio
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摘要

本文以经过现实地形的半理想化流动为背景,探讨了表面阻力(或表面应力)边界条件的物理原理。通过数值实验探讨了阻力条件对流经复杂地形区域的水流的影响,尤其关注了地形几何的依赖性。实验提出的论据表明,阻力条件在两个方面取决于地形的几何形状:(i) 地形坡度的依赖性,表现为法线梯度项;(ii) 曲率的依赖性,表现为阻力条件中的 Dirichlet 项。我们通过一系列数值实验来说明对几何形状的依赖性,在这些实验中,使用完整形式的阻力条件进行的模拟与使用两种广泛使用的近似值之一进行的模拟进行了比较:(a) 法向梯度条件,它考虑了地形坡度,但忽略了曲率;(b) 平边界假设,它忽略了坡度和曲率。结果表明,地形几何在阻力条件中的作用与网格间距密切相关,地形分辨率越高,对坡度和曲率的依赖性越强。在分辨率足够高的情况下,对几何形状的依赖变得非常重要,以至于使用近似阻力条件进行的模拟无法捕捉到流动的重要方面。本文讨论了这些结果对高分辨率风能预报问题的一些基本影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface drag on deformed topographic boundaries: Tests using a semi-idealized model
The physics of the surface drag (or surface stress) boundary condition is explored in the context of semi-idealized flows past realistic terrain. Numerical experiments are presented to explore the impact of the drag condition on flows past a region of complex topography, with a particular focus on the dependence on terrain geometry. Arguments are presented to show that the drag condition depends on the geometry of the terrain in two respects: (i) a dependence on terrain slope, as represented by a normal gradient term; and (ii) a dependence on the curvature, which appears in the drag condition as a Dirichlet term. The dependence on the geometry is illustrated through a series of numerical experiments in which simulations using the full form of the drag condition are compared to companion simulations using one of two widely used approximations: (a) the normal gradient condition, which accounts for the terrain slope but neglects curvature; and (b) the flat boundary assumption, which neglects both slope and curvature. The results show that the role of the terrain geometry in the drag condition is strongly dependent on grid spacing, with more highly resolved topography leading to a stronger dependence on the slope and curvature. For sufficiently high resolutions, the dependence on the geometry becomes significant, to the extent that simulations using the approximate drag conditions fail to capture important aspects of the flow. Some basic implications of these results for the problem of high resolution wind energy forecasting are discussed.
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