Articles | Volume 16, issue 15
https://doi.org/10.5194/acp-16-10045-2016
https://doi.org/10.5194/acp-16-10045-2016
Research article
 | 
09 Aug 2016
Research article |  | 09 Aug 2016

Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China

Tian Feng, Guohui Li, Junji Cao, Naifang Bei, Zhenxing Shen, Weijian Zhou, Suixin Liu, Ting Zhang, Yichen Wang, Ru-jin Huang, Xuexi Tie, and Luisa T. Molina

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Cited articles

Bei, N., de Foy, B., Lei, W., Zavala, M., and Molina, L. T.: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys., 8, 7353–7366, https://doi.org/10.5194/acp-8-7353-2008, 2008.
Bei, N., Lei, W., Zavala, M., and Molina, L. T.: Ozone predictabilities due to meteorological uncertainties in the Mexico City basin using ensemble forecasts, Atmos. Chem. Phys., 10, 6295–6309, https://doi.org/10.5194/acp-10-6295-2010, 2010.
Bei, N., Li, G., and Molina, L. T.: Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign, Atmos. Chem. Phys., 12, 11295–11308, https://doi.org/10.5194/acp-12-11295-2012, 2012.
Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component 1. Model description, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001JD001409, 2003.
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The springtime organic aerosol (OA) concentrations in the Guanzhong Basin, China are simulated using the WRF-Chem model with two secondary OA (SOA) modules. Model results are verified with near-surface observations. The non-traditional SOA module significantly improves SOA simulation. Oxidation and partitioning of primary OAs is the most important pathway in SOA formation. Residential emissions are the dominant anthropogenic OA source.
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