Articles | Volume 13, issue 23
https://doi.org/10.5194/acp-13-12073-2013
https://doi.org/10.5194/acp-13-12073-2013
Research article
 | 
13 Dec 2013
Research article |  | 13 Dec 2013

Analyzing experimental data and model parameters: implications for predictions of SOA using chemical transport models

K. C. Barsanti, A. G. Carlton, and S. H. Chung

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Cited articles

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Barsanti, K. C., Smith, J. N., and Pankow, J. F.: Application of the np plus mP modeling approach for simulating secondary organic particulate matter formation from alpha-pinene oxidation, Atmos. Environ., 45, 6812–6819, https://doi.org/10.1016/j.atmosenv.2011.01.038, 2011.
Byun, D. and Schere, K. L.: Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006.
Camredon, M., Hamilton, J. F., Alam, M. S., Wyche, K. P., Carr, T., White, I. R., Monks, P. S., Rickard, A. R., and Bloss, W. J.: Distribution of gaseous and particulate organic composition during dark α-pinene ozonolysis, Atmos. Chem. Phys., 10, 2893–2917, https://doi.org/10.5194/acp-10-2893-2010, 2010.
Cappa, C. D. and Wilson, K. R.: Evolution of organic aerosol mass spectra upon heating: implications for OA phase and partitioning behavior, Atmos. Chem. Phys., 11, 1895–1911, https://doi.org/10.5194/acp-11-1895-2011, 2011.
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