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High resolution air quality simulation over Europe with the chemistry transport model CHIMERE

pubblicazioni - Articolo

High resolution air quality simulation over Europe with the chemistry transport model CHIMERE

L’articolo discute i risultati di un’applicazione ad alta risoluzione del modello di chimica e trasporto CHIMERE, nell’ambito del progetto LIFE+ EC4MACS. RSE ha partecipato all’iniziativa attraverso una collaborazione con l’istituto di ricerca francese INERIS. L’attività svolta ha permesso di approfondire diversi aspetti relativi alla ricostruzione modellistica della qualità dell’aria in aree urbane (incluse quelle italiane), i cui risultati presentano ricadute interessanti anche per le attività di ricerca RSE.

A high resolution air quality simulation (0.125 ×0.0625 horizontal resolution) performed over Europe for the year 2009 has been evaluated using both rural and urban background stations available over most of the domain. Using seasonal and yearly mean statistical indicators such as the correlation index, the fractional bias and the root mean squared error; we interpret objectively the performance of the simulation. Positive outcomes are: a very good reproduction of the daily variability at UB sites for O3 (R = 0.73) as well as for NO2 (R = 0.61); a very low bias calculated at UB stations for PM2.5 (FB= −6.4 %) and PM10 concentrations (FB= –20.1 %).

Conversely, main weaknesses in model performance include: the underestimation of the NO2 daily maxima at UB site (FB= –53.6 %); an overall underestimation of PM10 and PM2.5 concentrations observed over Eastern European countries (e.g. Poland); the overestimation of sulphates concentrations at spring time (FB=53.7 %); finally, over the year, total nitrate and ammonia concentrations are better reproduced than nitrate and ammnium aerosol phase compounds.

Obtained results suggest that, in order to improve the model performances, efforts should focus on the improvement of the emission inventory quality for Eastern Europeans countries and the improvement of a specific parameterisation in the model to better account for the urban effect on meteorology and air pollutants concentrations.

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