Articles | Volume 16, issue 4
Atmos. Chem. Phys., 16, 2309–2322, 2016
https://doi.org/10.5194/acp-16-2309-2016
Atmos. Chem. Phys., 16, 2309–2322, 2016
https://doi.org/10.5194/acp-16-2309-2016
Research article
26 Feb 2016
Research article | 26 Feb 2016

Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 1: Assessing the influence of constrained multi-generational ageing

S. H. Jathar et al.

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Cited articles

Ahmadov, R., McKeen, S. A., Robinson, A. L., Bahreini, R., Middlebrook, A. M., de Gouw, J. A., Meagher, J., Hsie, E. Y., Edgerton, E., Shaw, S., and Trainer, M.: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006, J. Geophys. Res.-Atmos., 117, D06301, https://doi.org/10.1029/2011JD016831, 2012.
Baek, J., Hu, Y., Odman, M. T., and Russell, A. G.: Modeling secondary organic aerosol in CMAQ using multigenerational oxidation of semi-volatile organic compounds, J. Geophys. Res.-Atmos., 116, D22204, https://doi.org/10.1029/2011JD015911, 2011.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, 2006.
Cappa, C. D.: A model of aerosol evaporation kinetics in a thermodenuder, Atmos. Meas. Tech., 3, 579–592, https://doi.org/10.5194/amt-3-579-2010, 2010.
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Multi-generational chemistry schemes applied in regional models do not increase secondary organic aerosol (SOA) mass production relative to traditional "two-product" schemes when both models are fitted to the same chamber data. The multi-generational chemistry schemes do change the predicted composition of SOA and the source attribution of SOA.
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