Articles | Volume 17, issue 3
Atmos. Chem. Phys., 17, 2373–2392, 2017
https://doi.org/10.5194/acp-17-2373-2017

Special issue: South AMerican Biomass Burning Analysis (SAMBBA)

Atmos. Chem. Phys., 17, 2373–2392, 2017
https://doi.org/10.5194/acp-17-2373-2017

Research article 15 Feb 2017

Research article | 15 Feb 2017

Impact of mixing state and hygroscopicity on CCN activity of biomass burning aerosol in Amazonia

Madeleine Sánchez Gácita et al.

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Cited articles

Abdul-Razzak, H. and Ghan, S.: A parameterization of aerosol activation: 2. Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000.
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation: 3. Sectional representation, J. Geophys. Res, 107, 4026, https://doi.org/10.1029/2001JD000483, 2002.
Almeida, G. P., Brito, J., Morales, C. A., Andrade, M. F., and Artaxo, P.: Measured and modelled cloud condensation nuclei (CCN) concentration in São Paulo, Brazil: the importance of aerosol size-resolved chemical composition on CCN concentration prediction, Atmos. Chem. Phys., 14, 7559–7572, https://doi.org/10.5194/acp-14-7559-2014, 2014.
Andreae, M.: Biomass burning: its history, use, and distribution and its impact on environmental quality and global climate, MIT Press, 3–21, 1991.
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Short summary
This study uses an adiabatic cloud model to simulate the activation of smoke aerosol particles in the Amazon region as cloud condensation nuclei (CCN). The relative importance of variability in hygroscopicity, mixing state, and activation kinetics for the activated fraction and maximum supersaturation is assessed. Our findings on uncertainties and sensitivities provide guidance on appropriate simplifications that can be used for modeling of smoke aerosols within general circulation models.
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