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Acknowledgements
This study has been supported by EXCLUR (CGL2016-80154-R) project funded by Spanish Ministry of Science and Innovation.
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Funding note: Open access funding provided by Università del Salento.
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Riccardo Buccolieri is an associate professor of Atmospheric Physics at the University of Salento in Lecce (Italy), working in the field of micrometeorology and atmospheric circulation at local scale. Specifically, his research, both experimental and modelling, deals with the study of flow and pollutant dispersion in the urban environment and the effects of wind direction, morphology and vegetation on urban ventilation. He also works on the effects of city morphology on the drag force and its distribution with the aim of developing parametrizations of urban effects in mesoscale dispersion models.
Jose Luis Santiago is a researcher of the Environment Department of CIEMAT (Spain). His research deals with study of urban air quality, meteorology and climate, especially about development, improvement and evaluation of models applied to dispersion of atmospheric pollutants. In particular, it is focused on: 1) microscale modelling of urban meteorology and pollutant dispersion at street and neighborhood scales by means of computational fluid dynamics (CFD) models and 2) parametrization of city effects on atmosphere at mesoscale (city scale) by using CFD simulations. The last point has been investigated in depth in several published studies.
Alberto Martilli is a researcher of the Environment Department of CIEMAT (Spain). His research is driven by an interest in the meteorology and climatology of the urban atmosphere. He investigates these topics by developing and using mesoscale numerical models. In particular, he developed one of the most used multilayer urban canopy parameterizations, which is currently implemented as an option in the official version of the Weather Research and Forecasting model (WRF).
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Buccolieri, R., Santiago, J.L. & Martilli, A. CFD modelling: The most useful tool for developing mesoscale urban canopy parameterizations. Build. Simul. 14, 407–419 (2021). https://doi.org/10.1007/s12273-020-0689-z
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DOI: https://doi.org/10.1007/s12273-020-0689-z