Evaluation of the GEM-AQ model in the context of the AQMEII Phase 1 project

Abstract

Abstract. In the scope of the AQMEII Phase 1 project the GEM-AQ model was run over Europe for the year 2006. The modelling domain was defined using a global variable resolution grid with a rotated equator and uniform resolution of 0.2• over the European continent. Spatial distribution and temporal variability of the GEM-AQ model results were analysed for surface ozone and PM 10 concentrations. Model results were compared with measurements available in the ENSEMBLE database. Statistical measures were used to evaluate performance of the GEM-AQ model. The mean bias error, the mean absolute gross error and the Pearson correlation coefficient were calculated for the maximum 8 h running average ozone concentrations and daily mean PM 10 concentrations. The GEM-AQ model performance was characterized for station types, European climatic regions and seasons. The best performance for ozone was obtained at suburban stations, and the worst performance was obtained for rural stations where the model tends to underestimate. The best results for PM 10 were calculated for urban stations, while over most of Europe concentrations at rural sites were too high. Discrepancies between modelled and observed concentrations were discussed in the context of emission data uncertainty as well as the impact of large-scale dynamics and circulation of air masses. Presented analyses suggest that interpretation of modelling results is enhanced when regional climate characteristics are taken into consideration.

Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism

“…Pfister et al, 2011). Sudo and Akimoto (2007) and Derwent et al (2015) used O 3 tracers tagged by their region of formation to show that intercontinental transport of O 3 can occur from polluted source regions, such as North America and East Asia, and appears to be the most important source of tropospheric O 3 in Europe. Other studies, including those of Wang et al (2009) and Grewe et al (2010Grewe et al ( , 2012Grewe et al ( , 2017, have used tagging methods to identify the contribution of individual sources of O 3 to overall levels.…”

2014 iAREA campaign on aerosol in Spitsbergen – Part 1: Study of physical and chemical properties

“…The model was validated in a number of experiments. In AQMEIIe1 intercomparison the GEMeAQ showed a very good agreement with measurements as compared to other models (Struzewska et al, 2015). The emission inventory was provided on the global grid with the resolution of 0.5 Â 0.5 .…”

Evaluation of the Effectiveness of the National Clean Air Programme in Terms of Health Impacts from Exposure to PM2.5 and NO2 Concentrations in Poland

“…The modelled values of PM10 and PM2.5 concentrations are calculated as the sum of respective fractions of individual chemical components. The model has been evaluated in several research projects [28][29][30][31].…”