Performance characteristics of MM5–SMOKE–CMAQ for a summer photochemical episode in southeast England, United Kingdom

Please cite thi southeast Eng Atmospheric Environment ] (]]]]) ]]]–]]] www.elsevier.com/locate/atmosenv 57 59 61 63 65 67 69 71 OO F Performance characteristics of MM5–SMOKE–CMAQ for a summer photochemical episode in southeast England, United Kingdom Y. Yu , R.S. Sokhi, N. Kitwroon, D.R. Middleton, B. Fisher Centre for Atmospheric and Instrumentation Research (CAIR), University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK Laboratory for Climate, Environment and Disasters of Western China, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, PR China Met Office, FitzRoy Road, Exeter EX1 3PB, UK Environment Agency, Reading RG1 8DQ, UK Received 15 July 2007; received in revised form 28 November 2007; accepted 19 February 2008 R 73 75 77 79 81 83 85 87 89 91 93 CO RR EC TE D P Abstract In this study the Mesoscale Model (MM5)–Sparse Matrix Operator Kernel Emissions (SMOKE)–Community Multiscale Air Quality (CMAQ) modelling system has been applied to a summer photochemical period in southeast England, UK. Ozone (O3), nitrogen dioxide (NO2) and particulate matter (PM2.5) concentrations modelled with different horizontal grid resolutions (9 and 3 km) were evaluated against available ground-level observations from the UK Automatic Urban and Rural Network (AURN) and London Air Quality Network (LAQN) for the period of 24–28 June 2001 with a focus on O3 predictions. This effort, which represents the first comprehensive performance evaluation of the modelling system over a UK domain, reveals that CMAQ’s ability to reproduce surface O3 observations varies with O3 concentrations. It underpredicts O3 mixing ratios on high-O3 days and overpredicts the maximum and minimum hourly O3 values for most low-O3 days. Model sensitivity analysis with doubled anthropogenic NOx or volatile organic compounds (VOC) emissions and analysis of the daylight-averaged levels of OX (sum of O3 and NO2) as a function of NOx revealed that the undereprediction of peak O3 concentrations on high-O3 days is caused by the underprediction of regional contribution and to a lesser extent local production, which might be related to the underestimation of European emissions in EMEP inventory and the lacked reactivity of the modelled atmosphere. CMAQ systematically underpredicts hourly NO2 mixing ratios but captures the temporal variations. The normalized mean bias for hourly NO2, although much larger than that for O3, falls well within the generally accepted range of 20% to 50%. CMAQ with both resolutions (9 and 3 km) significantly underpredicts PM2.5 mass concentrations and fails to reproduce its temporal variations. While model performance for O3 and PM2.5 are not sensitive to model grid resolutions, a better agreement between modelled and measured hourly NO2 mixing ratios was achieved with higher resolution. Further investigation into the uncertainties in UN 95 97 99 101 103 e front matter r 2008 Elsevier Ltd. All rights reserved. mosenv.2008.02.051 ing author at: Laboratory for Climate, Environment and Disasters of Western China, Cold and Arid Regions and Engineering Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, PR China. Tel./fax: +86 931 4967168. esses: [email protected], [email protected] (Y. Yu).