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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Madeleine Sánchez Gácita Casagrande on behalf of the Authors (09 Sep 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Oct 2016) by Hugh Coe
RR by Anonymous Referee #3 (23 Nov 2016)
RR by Anonymous Referee #2 (03 Jan 2017)
ED: Reconsider after minor revisions (Editor review) (04 Jan 2017) by Hugh Coe
AR by Madeleine Sánchez Gácita Casagrande on behalf of the Authors (15 Jan 2017)  Author's response    Manuscript
ED: Publish as is (16 Jan 2017) by Hugh Coe
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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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