While previous research helped to identify and prioritize the sources of error in air quality modeling due to anthropogenic emissions and spatial scale effects our knowledge
is limited on how these uncertainties affect climate forced air-quality assessments. Using as reference a 10 yr model simulation over the greater Paris (France) area at 4 km resolution and anthropogenic emissions from a 1 km resolution bottom-up inventory, through several tests we estimate the sensitivity of modeled ozone and PM2.5
concentrations to different potentially influential factors with a particular interest over the urban areas.

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