Articles | Volume 14, issue 18
https://doi.org/10.5194/acp-14-10231-2014
https://doi.org/10.5194/acp-14-10231-2014
Research article
 | 
25 Sep 2014
Research article |  | 25 Sep 2014

Modeling analysis of the seasonal characteristics of haze formation in Beijing

X. Han, M. Zhang, J. Gao, S. Wang, and F. Chai

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Cited articles

Benkovitz, C., Schultz, M., Pacyna, J., Tarrason, L., Dignon, J., Voldner, E., Spiro, P., Logan, J., and Graedel, T.: Global gridded inventories of anthropogenic emissions of sulfur and nitrogen, J. Geophys. Res., 101, 29239–29254, 1996.
Bhave, P. V., Roselle, S. J., Binkowski, F. S., Nolte, C. G., Yu, S. C., Gipson, G. L., and Schere, K. L.: CMAQ Aerosol Module Development: Recent Enhancements and Future Plans, Paper presented at 3rd Annual CMAS Models-3 Users' Conference, Commun. Model., and Anal. Syst. Cent., Chapel Hill, N.C., 18–20 October, 2004.
Binkowski, F. S. and Shankar, U.: The regional particulate model, 1, Model description and preliminary results, J. Geophys. Res., 100, 26191–26209, 1995.
Byun, D. and Schere, K.: Review of the governing equations, computation algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, 2006.
Chuang, C., Penner, J., Prospero, J., Grant, K., Rau, G., and Kawamoto, K.: Cloud susceptibility and the first aerosol indirect forcing: sensitivity to black carbon and aerosol concentrations, J. Geophys. Res., 107, AAC-10, https://doi.org/10.1029/2000JD000215, 2002.
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