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Replication Data for: Atmospheric boundary layer over urban roughness: validation of large-eddy simulation

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DataCite Commons2025-09-23 更新2026-04-25 收录
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https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data2530
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This repository contains the data resulting from the wall-modeled large-eddy simulations (WMLES) which characterize the flow features of a neutral atmospheric boundary layer over two full-scale urban-like roughness geometries: an array of three-dimensional square prisms and the “Michel-Stadt” geometry model. The former consists in a 7x7 array of wall-mounted cubes with identical spacing ratios in both transversal and longitudinal directions. The latter represents a typical central European residental area, presenting spatial inhomogeneity in all directions. The Reynolds numbers based on the height of the buildings (Re=H_max*U_ref/nu) for each case are 5,000,000 and 8,000,000, respectively (in this case the velocity denotes the ABL reference velocity, and "nu" the flow viscosity). From now on, the aforementioned geometries will be referred as case 1 and 2 respectively. Simulations were performed using SOD2D, a spectral element method (SEM) computational fluid dynamics (CFD) code developed at the Barcelona Supercomputing Center (BSC). For the 3D square prism array, the dataset contains the time-averaged volumetric data over a clip of the city, as well as the vertical profiles in the centerline of the array. Regarding the “Michel-Stadt” case, besides of the temporal average data, the results also contain 8 vertical profiles and the temporal evolution of the velocity and pressure at 992 numerical probes located inside the city. The measured variables for both cases include the turbulent viscosity, pressure, velocity, Reynolds stress tensor and the turbulent kinetic energy (TKE). This dataset offers insightful information on the flow behavior below and above the urban canopy for both geometries, making it useful for the validation of arising CFD codes, among other applications.
提供机构:
CORA.Repositori de Dades de Recerca
创建时间:
2025-09-02
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