Articles | Volume 15, issue 13
https://doi.org/10.5194/acp-15-7703-2015
https://doi.org/10.5194/acp-15-7703-2015
Research article
 | 
14 Jul 2015
Research article |  | 14 Jul 2015

Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology

K. Markakis, M. Valari, O. Perrussel, O. Sanchez, and C. Honore

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Cited articles

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Beekmann, M. and Derognat, C.: Monte Carlo uncertainty analysis of a regional-scale transport chemistry model constrained by measurements from the Atmospheric Pollution Over the Paris Area (ESQUIF) campaign, J. Geophys. Res., 108, 8559, https://doi.org/10.1029/2003JD003391, 2003.
Beekmann, M. and Vautard, R.: A modelling study of photochemical regimes over Europe: robustness and variability, Atmos. Chem. Phys., 10, 10067–10084, https://doi.org/10.5194/acp-10-10067-2010, 2010.
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The efficacy of emission policies is explored by coarse resolution modeling applications. These were shown to be biased, overestimating that efficacy indicated in simulations with refined resolution. In order to improve our assessments, we need to quantify those biases. In this study we show that the ozone bias of the coarse run is reduced by 40% by adopting higher resolution emissions. For PM2.5, the coarse run cannot selectively incorporate local scale features in order to reduce model error.
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