Chapter 21 Sensitivity of the WRF-Chem Modelled Particulate Matter Concentrations to Microphysics, Planetary Boundary Layer and Radiation Schemes: A Case Study for Poland Maciej Kryza, Jakub Guzikowski, Malgorzata Werner, Mariusz Szymanowski, Kinga Walaszek and Anthony J. Dore Abstract The Weather Research and Forecasting (WRF) model has been used to assess the role of parameterisation applied for the planetary boundary layer (PBL) and surface layer, microphysics and radiation on modelled surface air tem- perature and wind speed. The best model—measurements agreement, in terms of bias and index of agreement statistics, is found for the combination of Goddard microphysics, Yonsei University PBL and the MM5 similarity surface layer schemes, together with the RRTMG and RRTM options for shortwave and long- wave radiation, respectively. With this configuration, the model results meet the benchmark values for bias and index of agreement for air temperature. Finally, we have used two configurations that resulted in the best and the worst performance for the meteorological model WRF to run the WRF-Chem model for high PM10 concentration episode of 05–10.01.2015. The WRF-Chem model performance for PM10 concentration is better if optimal meteorological configuration is applied. 21.1 Introduction Meteorological information is vital for regional air quality modelling, as meteo- rology is responsible for transport and removal of atmospheric pollutants (Borge et al. 2008; Seaman 2000; Skjøth et al. 2011). Meteorological models, such as the M. Kryza ( ✉ ) ⋅ J. Guzikowski ⋅ M. Werner ⋅ M. Szymanowski ⋅ K. Wałaszek Wrocław University, Wrocław, Poland e-mail: maciej.kryza@uwr.edu.pl M. Werner e-mail: malgorzata.werner@uwr.edu.pl A.J. Dore Centre for Ecology and Hydrology, Edinburgh, UK © Springer International Publishing AG 2018 C. Mensink and G. Kallos (eds.), Air Pollution Modeling and its Application XXV, Springer Proceedings in Complexity, DOI 10.1007/978-3-319-57645-9_21 135