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

这项研究将使用大气最底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底层对气流进行建模的方法。这项研究将为各种数值预报方案的成功提供有价值的见解，并可能最终导致这些方案在天气模式中使用的改进。一名本科生将参与本研究，并获得宝贵的研究经验。本研究将使用一个大涡模拟（LES）数据集，该数据集由两小时0.39米分辨率的数据组成，每隔一分钟存档一次。LES数据没有实际边界层中通常存在的非湍流结构。所提出的LES使用两部分子网格尺度模型在LES和Reynolds-average Navier-Stokes （RANS）体系之间进行跨越。新的见解将通过改进湍流关闭方案的发展，从梯度为基础的缩放，单柱模型。

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.