Articles | Volume 26, issue 4
https://doi.org/10.5194/acp-26-2769-2026
https://doi.org/10.5194/acp-26-2769-2026
Research article
 | 
24 Feb 2026
Research article |  | 24 Feb 2026

Process-level simulation of chemical composition, size distribution and cloud condensation nuclei of secondary organic aerosol from α-pinene ozonolysis

Zhen Song, Chenqi Zhang, Hongru Shen, Hao Ma, Iida Pullinen, and Defeng Zhao

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Cited articles

Aumont, B., Szopa, S., and Madronich, S.: Modelling the evolution of organic carbon during its gas-phase tropospheric oxidation: development of an explicit model based on a self generating approach, Atmos. Chem. Phys., 5, 2497–2517, https://doi.org/10.5194/acp-5-2497-2005, 2005. 
Bianchi, F., Kurtén, T., Riva, M., Mohr, C., Rissanen, M. P., Roldin, P., Berndt, T., Crounse, J. D., Wennberg, P. O., Mentel, T. F., Wildt, J., Junninen, H., Jokinen, T., Kulmala, M., Worsnop, D. R., Thornton, J. A., Donahue, N., Kjaergaard, H. G., and Ehn, M.: Highly oxygenated organic molecules (HOM) from gas-phase autoxidation involving peroxy radicals: a key contributor to atmospheric aerosol, Chem. Rev., 119, 3472–3509, https://doi.org/10.1021/acs.chemrev.8b00395, 2019. 
Camredon, M., Aumont, B., Lee-Taylor, J., and Madronich, S.: The SOA/VOC/NOx system: an explicit model of secondary organic aerosol formation, Atmos. Chem. Phys., 7, 5599–5610, https://doi.org/10.5194/acp-7-5599-2007, 2007. 
Capouet, M., Peeters, J., Nozière, B., and Müller, J.-F.: Alpha-pinene oxidation by OH: simulations of laboratory experiments, Atmos. Chem. Phys., 4, 2285–2311, https://doi.org/10.5194/acp-4-2285-2004, 2004. 
Capouet, M., Mueller, J. F., Ceulemans, K., Compernolle, S., Vereecken, L., and Peeters, J.: Modeling aerosol formation in alpha-pinene photo-oxidation experiments, J. Geophys. Res.-Atmos., 113, D02308, https://doi.org/10.1029/2007jd008995, 2008. 
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Short summary
Secondary organic aerosol (SOA) can act as cloud condensation nuclei (CCN) and influence global cloud formation. This study modeled CCN and chemical composition, aerosol size and hygroscopicity (κ) of SOA using a model treating every single step. We evaluated the model ability and limitations in simulated chemical composition, κ, particle size distribution and CCN as a potential benchmark model and found that the accurate simulation of SOA size and κ is essential for reliable CCN prediction.
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