Air quality simulations for North America - MM5-CAMx modelling performance for main gaseous pollutants

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• 作者：J. Ferreira^a ; ^{jferreira@ua.pt} ; A. Rodriguez^b ; A. Monteiro^a ; A.I. Miranda^a ; M. Dios^b ; J.A. Souto^b ; G. Yarwood^c ; U. Nopmongcol^c ; C. Borrego^a
• 关键词：Air quality model performance ; Air quality assessment ; North America
• 刊名：Atmospheric Environment
• 出版年：2012
• 期刊代码：11_13522310
• 类别：env
• 出版时间：June, 2012
• 卷：53
• 期：Complete
• 页码：212-224
• 文件大小：4157 K

摘要

In the scope of the Air Quality Model Evaluation International Initiative (AQMEII) the air quality modelling system MM5-CAMx was applied to the North American (NA) domain for calendar year 2006. The simulation domain was defined according to the spatial resolution and the coordinate system of the emission databases provided and the common grid required by AQMEII for ensemble analysis. A Lambert Conformal Projection grid of around 5500聽km by 3580聽km with 24聽脳聽24聽km² horizontal resolution was defined. Emissions available through AQMEII have been prepared to feed the CAMx model. Meteorological inputs were developed by the application of the meteorological model MM5, which was initialized by 1掳 resolution NCEP-FNL global data and run for the whole year of 2006. A spatial and temporal analysis of results based on the 2D surface fields and time series for regional monitoring stations was performed for the main gaseous pollutants. A detailed statistical analysis and evaluation against observations was carried out, considering three different sub-domains over North America, in order to comprehend the differences between the East, West and Central part. The exploitation of modelling results was based on the capabilities and analysis tools available through the ENSEMBLE software, developed and upgraded for AQMEII. Results have shown a good agreement between observed and modelled concentrations of O₃ (especially regarding peaks) and NO₂ and a weaker performance of the air quality model for CO and SO₂. However, the model tends to underestimate O₃ and overestimate NO₂ and CO at night as a consequence of meteorology (weak vertical mixing due to underestimation of the Planetary Boundary Layer (PBL) height). This paper intends to be a valuable contribution to the overall AQMEII exercise since it aims to evaluate the performance of individual models to be used in the ensemble approach for the areas of interest.