Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1591-2020
https://doi.org/10.5194/acp-20-1591-2020
Research article
 | 
07 Feb 2020
Research article |  | 07 Feb 2020

The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations

Pascal Polonik, Christoph Knote, Tobias Zinner, Florian Ewald, Tobias Kölling, Bernhard Mayer, Meinrat O. Andreae, Tina Jurkat-Witschas, Thomas Klimach, Christoph Mahnke, Sergej Molleker, Christopher Pöhlker, Mira L. Pöhlker, Ulrich Pöschl, Daniel Rosenfeld, Christiane Voigt, Ralf Weigel, and Manfred Wendisch

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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 Christoph Knote on behalf of the Authors (06 Nov 2019)  Manuscript 
ED: Referee Nomination & Report Request started (15 Nov 2019) by Stefan Buehler
RR by Anonymous Referee #1 (26 Nov 2019)
RR by Anonymous Referee #2 (28 Nov 2019)
ED: Reconsider after major revisions (29 Nov 2019) by Stefan Buehler
AR by Christoph Knote on behalf of the Authors (06 Dec 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Dec 2019) by Stefan Buehler
RR by Anonymous Referee #2 (18 Dec 2019)
ED: Publish as is (19 Dec 2019) by Stefan Buehler
AR by Christoph Knote on behalf of the Authors (19 Dec 2019)
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Short summary
A realistic representation of cloud–aerosol interactions is central to accurate climate projections. Here we combine observations collected during the ACRIDICON-CHUVA campaign with chemistry-transport simulations to evaluate the model’s ability to represent the indirect effects of biomass burning aerosol on cloud microphysics. We find an upper limit for the model sensitivity on cloud condensation nuclei concentrations well below the levels reached during the burning season in the Amazon Basin.
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