Atmospheric Chemistry and Physics www.atmos-chem-phys.net 1680-7316 1680-7324 9 17 2009 10.5194/acp-9-6611-2009 http://www.atmos-chem-phys.net/9/6611/2009/ http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.html http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.pdf 6611 6632 2009-09-11 The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations A. de Meij a.demeij@cyi.ac.cy A. Gzella C. Cuvelier P. Thunis B. Bessagnet J. F. Vinuesa L. Menut H. M. Kelder European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, Italy INERIS, Institut National de l'Environnement industriel et des Risques, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, Ecole Polytechnique, Palaiseau, France Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands now at: Energy, Environment and Water Research Centre, The Cyprus Institute, 20 Kavafi Street, 1645, Nicosia, Cyprus The objective of this study is to evaluate the impact of meteorological input data on calculated gas and aerosol concentrations. We use two different meteorological models (MM5 and WRF) together with the chemistry transport model CHIMERE. We focus on the Po valley area (Italy) for January and June 2005. Firstly we evaluate the meteorological parameters with observations. The analysis shows that the performance of both models in calculating surface parameters is similar, however differences are still observed. Secondly, we analyze the impact of using MM5 and WRF on calculated PM10 and O3 concentrations. In general CHIMERE/MM5 and CHIMERE/WRF underestimate the PMv concentrations for January. The difference in PM10 concentrations for January between CHIMERE/MM5 and CHIMERE/WRF is around a factor 1.6 (PM10 higher for CHIMERE/MM5). This difference and the larger underestimation in PM10 concentrations by CHIMERE/WRF are related to the differences in heat fluxes and the resulting PBL heights calculated by WRF. In general the PBL height by WRF meteorology is a factor 2.8 higher at noon in January than calculated by MM5. This study showed that the difference in microphysics scheme has an impact on the profile of cloud liquid water (CLW) calculated by the meteorological driver and therefore on the production of SO4 aerosol. 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