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|Title:||Air quality simulations for North America - MM5–CAMx modelling performance for main gaseous pollutants|
Miranda, A. I.
Souto, J. A.
|Keywords:||Air quality model performance|
Air quality assessment
|Abstract:||In the scope of the Air Quality Model Evaluation International Initiative (AQMEII) the air quality modelling system MM5eCAMx was applied to the North American (NA) domain for calendar year 2006. The simulation domainwas 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 km by 3580 km with 24 24 km2 horizontal resolution was defined. Emissions available through AQMEII have been prepared to feed the CAMx model. Meteoro- logical inputs were developed by the application of the meteorological model MM5, which was initial- ized by 1 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.|
|Appears in Collections:||CESAM - Artigos|
DAO - Artigos
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