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The modelling reconstruction of the processes determining the transport and mixing of ozone and its precursors in complex terrain areas is a challenging task, particularly when local scale circulations, such as sea breeze, take place. Within this frame, the ESCOMPTE European campaign took place in the vicinity of Marseilles (South-East of France) in summer 2001. The main objectives of the field campaign were to document several photochemical episodes, as well as to constitute a detailed database for a Chemical Transport Models intercomparison. CAMX model has been applied on the largest Intense Observation Periods (June 21-26, 2001)in order to evaluate the impacts of two state of art meteorological models, RAMS and MM5, on chemical model outputs. Meteorological models have been used as best as possible in analysis mode, thus allowing to identify the spread arising in pollutant concentrations as an indication of the intrinsic uncertainty to be associated to meteorological input. Simulations have been deeply investigated and compared with a considerable subset of observations both at ground level and along vertical profile. The analysis has shown that both models were able to reproduce the main circulation features of the IOP. The strongest discrepancies are confined to the Planetary Boundary Layer, consisting in a clear tendency to underestimate or overestimate wind speed over the whole domain. The photochemical simulations showed that variability in circulation intensity was crucial mainly for the representation of the ozone peaks and of the shape of ozone plumes at ground, that have been affected in the same way over the whole domain and all along the simulated period. As a consequence, such differences can be PUBBLICATO 06005035 (PAD – 740361)PUBBLICATO 06005035 (PAD – 740361)PUBBLICATO 06005035 (PAD – 740361)
thought as a possible indication of the uncertainty related to the definition of meteorological fields in a complex terrain area.
31 Dicembre 2006
Vigilanza sullo sviluppo del sistema di generazione (WP 1.1 (GOV))