Toward and Improved Understanding and Parameterization of the Stable Atomospheric Boundary Layer

这项研究将使用一个关于大气最低层的高分辨率模型模拟数据库，与地球表面附近湍流层的各种模型的已知输出进行比较。 这项研究的目标是改进在接近地面的大气最低层中模拟气流的方法。 这项研究将增加有价值的洞察各种数值预报方案的成功，并可能最终导致这些方案用于天气模式的改进。 一名本科生将参与这项研究，并获得宝贵的研究经验。 这项研究将使用大涡模拟（LES）数据集，包括两个小时的0.39米分辨率的数据，每隔一分钟存档。 LES数据不含真实的边界层中通常存在的非湍流结构。 建议LES使用两部分的亚网格尺度模型之间的LES和雷诺平均纳维尔-斯托克斯（RANS）制度跨越。 通过为单柱模型开发基于梯度的缩放的改进湍流闭合方案，将获得新的见解。

This study will use a database of very high-resolution model simulations of the lowest layers of the atmosphere to compare with known output from various models of the turbulent layer near the earth's surface. The goal of this research is to improve the way in which air flow is modeled in the very lowest layers of the atmosphere, near the ground. This study will add valuable insight into the success of various numerical prediction schemes and may ultimately lead to improvements in these schemes used in weather models. One undergraduate student will participate in this study and gain valuable research experience. This study will use a large-eddy simulation (LES) dataset, consisting of two hours of 0.39m resolution data, archived at one-minute intervals. The LES data are free of non-turbulent structures typically present in the real boundary layer. The proposed LES uses a two-part sub-grid scale model to span between LES and Reynolds-average Navier-Stokes (RANS) regimes. New insights will be gained through the development of improved turbulence closure schemes, from gradient-based scaling, for single-column models.