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Large-Eddy Simulation-Based Retrieval of Dissipation from Coherent Doppler Lidar Data

机译:基于大涡模拟的相干多普勒激光雷达数据消散

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Accurate estimation of dissipation rate is important in understanding and analyzing turbulent flows found in environment and engineering processes. Many previous studies have focused on measuring the local dissipation rate at a single point or averaged dissipation rate over a suitable area. Since coherent Doppler lidar is capable of providing multi-point measurements covering a large spatial extent, it is well-suited for examining the distribution of dissipation in the atmosphere. In this paper, an approach is presented that is based on retrieving the dissipation rate from coherent Doppler lidar data using large-eddy simulation. Two Coherent Doppler lidars performed range height indicator (RHI) scans of a vertical/cross-barrier plane during the Terrain-induced Rotor Experiment (T-REX). Two-dimensional velocity vectors were retrieved using a least squares method. The velocity vectors retrieved from co-planar RHI scans are used to estimate subgrid scale (SGS) quantities through a known SGS parameterization. For the T-REX datasets analyzed, the dissipation rate was found to increase in the presence of rotors, subrotors, and, as expected, in regions of high wind shear. Owing to the presence of sharper gradients in subrotors, their dissipation rate is generally larger than that of rotors.
机译:准确估计耗散率对于理解和分析在环境和工程过程中发现的湍流非常重要。以前的许多研究都集中在测量单个点的局部耗散率或在合适区域上的平均耗散率。由于相干多普勒激光雷达能够提供覆盖大空间范围的多点测量,因此非常适合检查大气中的耗散分布。本文提出了一种基于大涡模拟从相干多普勒激光雷达数据中提取耗散率的方法。在地形诱导的转子实验(T-REX)期间,两个相干多普勒激光雷达对垂直/交叉障碍平面进行了范围高度指示器(RHI)扫描。使用最小二乘法检索二维速度矢量。从共面RHI扫描中检索到的速度矢量用于通过已知的SGS参数化估计子网格规模(SGS)数量。对于分析的T-REX数据集,发现存在转子,子转子以及高风切变区域时,耗散率增加。由于子转子中存在更陡峭的梯度,因此它们的耗散率通常大于转子。

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