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Open AccessArticle

High Resolution Air Quality Forecasting over Prague within the URBI PRAGENSI Project: Model Performance during the Winter Period and the Effect of Urban Parameterization on PM

1
Czech Hydrometeorological Institute, Na Šabatce 17, 14306 Prague 4, Czech Republic
2
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, V Holešovičkách 2, 180 00 Prague 8, Czech Republic
3
Institute of Computer Science of the Czech Academy of Sciences, Department of Complex Systems, Pod Vodárenskou věží 271/2, 182 07 Prague 8, Czech Republic
4
Institute of Meteorology and Climatology, Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, 1180 Vienna, Austria
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(6), 625; https://doi.org/10.3390/atmos11060625
Received: 30 April 2020 / Revised: 29 May 2020 / Accepted: 5 June 2020 / Published: 12 June 2020
(This article belongs to the Special Issue Ambient Air Quality in the Czech Republic)
The overall impact of urban environments on the atmosphere is the result of many different nonlinear processes, and their reproduction requires complex modeling approaches. The parameterization of these processes in the models can have large impacts on the model outputs. In this study, the evaluation of a WRF/Comprehensive Air Quality Model with Extensions (CAMx) forecast modeling system set up for Prague, the Czech Republic, within the project URBI PRAGENSI is presented. To assess the impacts of urban parameterization in WRF, in this case with the BEP+BEM (Building Environment Parameterization linked to Building Energy Model) urban canopy scheme, on Particulate Matter (PM) simulations, a simulation was performed for a winter pollution episode and compared to a non-urbanized run with BULK treatment. The urbanized scheme led to an average increase in temperature at 2 m by 2 C, a decrease in wind speed by 0.5 m s 1 , a decrease in relative humidity by 5%, and an increase in planetary boundary layer height by 100 m. Based on the evaluation against observations, the overall model error was reduced. These impacts were propagated to the modeled PM concentrations, reducing them on average by 15–30 μ g m 3 and 10–15 μ g m 3 for PM 10 and PM 2.5 , respectively. In general, the urban parameterization led to a larger underestimation of the PM values, but yielded a better representation of the diurnal variations. View Full-Text
Keywords: air pollution; emissions; urban canopy; weather prediction; particulate matter; validation air pollution; emissions; urban canopy; weather prediction; particulate matter; validation
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Ďoubalová, J.; Huszár, P.; Eben, K.; Benešová, N.; Belda, M.; Vlček, O.; Karlický, J.; Geletič, J.; Halenka, T. High Resolution Air Quality Forecasting over Prague within the URBI PRAGENSI Project: Model Performance during the Winter Period and the Effect of Urban Parameterization on PM. Atmosphere 2020, 11, 625.

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