Analytical Model Coupling Ekman and Surface Layer Structure in Atmospheric Boundary Layer Flows

IF 2.3 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Boundary-Layer Meteorology Pub Date : 2024-03-22 DOI:10.1007/s10546-024-00859-9
Ghanesh Narasimhan, Dennice F. Gayme, Charles Meneveau
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Abstract

We introduce an analytical model that describes the vertical structure of Ekman boundary layer flows coupled to the Monin-Obukhov Similarity Theory (MOST) surface layer representation, which is valid for conventionally neutral (CNBL) and stable (SBL) atmospheric conditions. The model is based on a self-similar profile of horizontal stress for both CNBL and SBL flows that merges the classic 3/2 power law profile with a MOST-consistent stress profile in the surface layer. The velocity profiles are then obtained from the Ekman momentum balance equation. The same stress model is used to derive a new self-consistent Geostrophic Drag Law (GDL). We determine the ABL height (h) using an equilibrium boundary layer height model and parameterize the surface heat flux for quasi-steady SBL flows as a function of a prescribed surface temperature cooling rate. The ABL height and GDL equations can then be solved together to obtain the friction velocity \((u_*)\) and the cross-isobaric angle (\(\alpha _0\)) as a function of known input parameters such as the Geostrophic wind speed and surface roughness \((z_0)\). We show that the model predictions agree well with simulation data from the literature and newly generated Large Eddy Simulations (LES). These results indicate that the proposed model provides an efficient and relatively accurate self-consistent approach for predicting the mean wind velocity distribution in CNBL and SBL flows.

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大气边界层流动中埃克曼和表层结构耦合的分析模型
我们介绍了一种分析模型,该模型描述了与莫宁-奥布霍夫相似理论(MOST)表层表示法相结合的埃克曼边界层流的垂直结构,适用于常规中性(CNBL)和稳定(SBL)大气条件。该模型基于中性(CNBL)和稳定(SBL)气流的水平应力自相似剖面,将经典的 3/2 幂律剖面与 MOST 一致的表层应力剖面合并在一起。然后根据埃克曼动量平衡方程得出速度剖面。同样的应力模型用于推导新的自洽的地营阻力定律(GDL)。我们利用平衡边界层高度模型确定 ABL 高度(h),并将准稳 SBL 流动的表面热通量参数化为规定表面温度冷却率的函数。然后,ABL 高度和 GDL 方程可以一起求解,以获得摩擦速度 ((u_*)\)和交叉等压角 (\(\alpha _0\)),它们是已知输入参数(如地转风速和表面粗糙度 ((z_0)\))的函数。结果表明,该模型的预测结果与文献中的模拟数据和新生成的大涡模拟(LES)数据吻合良好。这些结果表明,所提出的模型为预测 CNBL 和 SBL 气流中的平均风速分布提供了一种高效和相对准确的自洽方法。
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来源期刊
Boundary-Layer Meteorology
Boundary-Layer Meteorology 地学-气象与大气科学
CiteScore
7.50
自引率
14.00%
发文量
72
审稿时长
12 months
期刊介绍: Boundary-Layer Meteorology offers several publishing options: Research Letters, Research Articles, and Notes and Comments. The Research Letters section is designed to allow quick dissemination of new scientific findings, with an initial review period of no longer than one month. The Research Articles section offers traditional scientific papers that present results and interpretations based on substantial research studies or critical reviews of ongoing research. The Notes and Comments section comprises occasional notes and comments on specific topics with no requirement for rapid publication. Research Letters are limited in size to five journal pages, including no more than three figures, and cannot contain supplementary online material; Research Articles are generally fifteen to twenty pages in length with no more than fifteen figures; Notes and Comments are limited to ten journal pages and five figures. Authors submitting Research Letters should include within their cover letter an explanation of the need for rapid publication. More information regarding all publication formats can be found in the recent Editorial ‘Introducing Research Letters to Boundary-Layer Meteorology’.
期刊最新文献
Geostrophic Drag Law in Conventionally Neutral Atmospheric Boundary Layer: Simplified Parametrization and Numerical Validation Variation in Zero Plane Displacement and Roughness Length for Momentum Revisited Rainfall Effects on Atmospheric Turbulence and Near-Surface Similarities in the Stable Boundary Layer Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation On the Extent of Applicability of Various Non-linear Similarity Functions for Computation of Surface Fluxes under Stable Conditions in Numerical Models
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