Abstract
Urban wind f elds are of concern because the near-ground wind vector drives the ventilation of cities, which involves, among other things, the translocation and dilution of air pollutants. To study f ow patterns in the urban atmospheric boundary layer, turbulence-resolving tools are needed since numerous roughness elements are present that cause the f ow to be of highly turbulent nature. Therefore, we developed a mobile, fast-response measurement platform that is situated on a cargo bicycle. This mobile platform was deployed in a case study collecting data at street level within a complex, urban area that includes street canyons, open squares, street intersections as well as courtyard entrances. Results were compared to numerical large eddy simulation (LES) data from the model PALM. Outcomes of both methods were qualitatively analyzed; results show that both methods were able to identify complex f ow patterns, including small-scale structures such as jetting f ows, vortices, recirculation areas, and a convergence zone where air masses collide. Results of both methods generally matched well, even for areas that featured highly complex, three-dimensional f ow structures. We conclude that both the model PALM and the mobile platform are valuable tools for gathering insights about complex f ow structures in real-world environments.
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Paas, B., Zimmermann, T., & Klemm, O. (2021). Analysis of a turbulent wind fiel in a street canyon: Good agreement between les model results and data from a mobile platform. Meteorologische Zeitschrift, 30(1), 45–57. https://doi.org/10.1127/metz/2020/1006
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