Mesoscale modeling of optical turbulence (C2n) utilizing a novel physically-based parameterization
Mesoscale modeling of optical turbulence (C2n) utilizing a novel physically-based parameterization
复制标题
利用新颖的基于物理的参数化进行光学湍流 (C2n) 的中尺度建模
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
S. Basu
中科院分区：
文献类型：
--
作者：
P. He;S. Basu
在本文中，我们提出了一种新的参数化光学湍流（C2 n）在大气中的模拟。在这种方法中，C2 n是从使用高阶湍流闭合方案的大气模型的输出计算的。这种参数化的一个重要特征是，在自由大气中（即，在边界层以上），这与Tatarskii建立的C2 n公式一致。此外，它接近一个Monin-Obukhov相似性为基础的关系在表层。为了测试所提出的参数化的性能，我们进行中尺度模拟和比较模拟的C2 n值与在夏威夷岛的两个实地活动期间测得的。Trinquet和Vernin（2007）提出的一种流行的基于回归的方法也用于比较。预测的C2 n值，从物理和物理为基础的参数化，同意相当不错的观测数据。然而，在一个大尺度的大气现象（一个破碎的山波）的存在下，基于物理的参数化优于基于几何的。
In this paper, we propose a novel parameterization for optical turbulence (C2n) simulations in the atmosphere. In this approach, C2n is calculated from the output of atmospheric models using a high-order turbulence closure scheme. An important feature of this parameterization is that, in the free atmosphere (i.e., above the boundary layer), it is consistent with a well-established C2n formulation by Tatarskii. Furthermore, it approaches a Monin-Obukhov similarity-based relationship in the surface layer. To test the performance of the proposed parameterization, we conduct mesoscale modeling and compare the simulated C2n values with those measured during two field campaigns over the Hawaii island. A popular regression-based approach proposed by Trinquet and Vernin (2007) is also used for comparison. The predicted C2n values, obtained from both the physically and statistically-based parameterizations, agree reasonably well with the observational data. However, in the presence of a large-scale atmospheric phenomenon (a breaking mountain wave), the physically-based parameterization outperforms the statistically-based one.