Articles | Volume 6, issue 4
https://doi.org/10.5194/gmd-6-1221-2013
https://doi.org/10.5194/gmd-6-1221-2013
Methods for assessment of models
 | 
13 Aug 2013
Methods for assessment of models |  | 13 Aug 2013

Representation of nucleation mode microphysics in a global aerosol model with sectional microphysics

Y. H. Lee, J. R. Pierce, and P. J. Adams

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Cited articles

Adams, P. J. and Seinfeld, J. H.: Predicting global aerosol size distributions in general circulation models, J. Geophys. Res.-Atmos., 107, 4370, https://doi.org/10.1029/2001JD001010, 2002.
Adams, P. J. and Seinfeld, J. H.: Disproportionate impact of particulate emissions on global cloud condensation nuclei concentrations, Geophys. Res. Lett., 30, 1239, https://doi.org/10.1029/2002gl016303, 2003.
Anttila, T., Kerminen, V. M., and Lehtinen, K. E. J.: Parameterizing the formation rate of new particles: The effect of nuclei self-coagulation, J. Aerosol. Sci., 41, 621–636, https://doi.org/10.1016/j.jaerosci.2010.04.008, 2010.
Ban-Weiss, G. A., Lunden, M. M., Kirchstetter, T. W., and Harley, R. A.: Size-resolved particle number and volume emission factors for on-road gasoline and diesel motor vehicles, J. Aerosol Sci., Special Issue for the 9th International Conference on Carbonaceous Particles in the Atmosphere, 41, 5–12, 2010.
Clarke, A. D., Owens, S. R., and Zhou, J. C.: An ultrafine sea-salt flux from breaking waves: Implications for cloud condensation nuclei in the remote marine atmosphere, J. Geophys. Res.-Atmos., 111, D06202, https://doi.org/10.1029/2005jd006565, 2006.
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