Auvinen , M , Boi , S , Hellsten , A , Tanhuanpaa , T & Jarvi , L 2020 , ' Study of Realistic Urban Boundary Layer Turbulence with High-Resolution Large-Eddy Simulation ' , Atmosphere , vol. 11 , no. 2 , 201 . https://doi.org/10.3390/atmos11020201
Title: | Study of Realistic Urban Boundary Layer Turbulence with High-Resolution Large-Eddy Simulation |
Author: | Auvinen, Mikko; Boi, Simone; Hellsten, Antti; Tanhuanpaa, Topi; Jarvi, Leena |
Contributor organization: | Institute for Atmospheric and Earth System Research (INAR) Urban meteorology Department of Mathematics and Statistics Department of Forest Sciences Forest Health Group Laboratory of Forest Resources Management and Geo-information Science Helsinki Institute of Sustainability Science (HELSUS) Helsinki Institute of Urban and Regional Studies (Urbaria) |
Date: | 2020-02 |
Language: | eng |
Number of pages: | 41 |
Belongs to series: | Atmosphere |
ISSN: | 2073-4433 |
DOI: | https://doi.org/10.3390/atmos11020201 |
URI: | http://hdl.handle.net/10138/313901 |
Abstract: | This study examines the statistical predictability of local wind conditions in a real urban environment under realistic atmospheric boundary layer conditions by means of Large-Eddy Simulation (LES). The computational domain features a highly detailed description of a densely built coastal downtown area, which includes vegetation. A multi-scale nested LES modelling approach is utilized to achieve a setup where a fully developed boundary layer flow, which is also allowed to form and evolve very large-scale turbulent motions, becomes incident with the urban surface. Under these nonideal conditions, the local scale predictability and result sensitivity to central modelling choices are scrutinized via comparative techniques. Joint time-frequency analysis with wavelets is exploited to aid targeted filtering of the problematic large-scale motions, while concepts of information entropy and divergence are exploited to perform a deep probing comparison of local urban canopy turbulence signals. The study demonstrates the utility of wavelet analysis and information theory in urban turbulence research while emphasizing the importance of grid resolution when local scale predictability, particularly close to the pedestrian level, is sought. In densely built urban environments, the level of detail of vegetation drag modelling description is deemed most significant in the immediate vicinity of the trees. |
Subject: |
large-eddy simulation
turbulence urban boundary layer urban canopy wavelet analysis information entropy WIND-TUNNEL MEASUREMENTS LARGE-SCALE MOTIONS AMPLITUDE-MODULATION DRAG RELATIONSHIPS FLOW STATISTICS LES VALIDATION MEAN FLOW PART II DISPERSION MODELS 114 Physical sciences 111 Mathematics |
Peer reviewed: | Yes |
Rights: | cc_by |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
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