Articles | Volume 13, issue 14
https://doi.org/10.5194/acp-13-6845-2013
https://doi.org/10.5194/acp-13-6845-2013
Research article
 | 
22 Jul 2013
Research article |  | 22 Jul 2013

Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 2: Evaluation of chemical concentrations and sensitivity simulations

Y. Zhang, K. Sartelet, S. Zhu, W. Wang, S.-Y. Wu, X. Zhang, K. Wang, P. Tran, C. Seigneur, and Z.-F. Wang

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Cited articles

Anttila, P. and Salmi, T.: Characterizing temporal and spatial patterns of urban PM10 using six years of Finnish monitoring data, Boreal. Environ. Res., 11, 463–479, 2006.
Aphesis (Air Pollution and Health: A European Information System): Health impact assessment of air pollution In 26 European Cities, ENHIS-1 Project: WP5 Health impact assessment, Second-year Report, 2000–2001, http://www.apheis.org/index.html, 2006.
Arunachalam, S., Holland, A., Do, B., and Abraczinskas, M.: A quantitative assessment of the influence of grid resolution on predictions of future-year air quality in North Carolina, USA, Atmos. Environ., 40, 5010–5026, 2006.
Bailey, E. M., Gautney, L. L., Kelsoe, J. J., Jacobs, M. E., Condrey, J.W., Pun, B., Wu, S.-Y., Seigneur, C., Douglas, S., Haney, J., and Kumar, N.: A comparison of the performance of four air quality models for the Southern Oxidants Study episode in July 1999, J. Geophys. Res., 112, D05306, https://doi.org/10.1029/2005JD007021, 2007.
Barmpadimos, I., Keller, J., Oderbolz, D., Hueglin, C., and Prévôt, A. S. H.: One decade of parallel fine (PM2.5) and coarse (PM10–PM2.5), particulate matter measurements in Europe: trends and variability, Atmos. Chem. Phys., 12, 3189–3203, https://doi.org/10.5194/acp-12-3189-2012, 2012.
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