Articles | Volume 20, issue 3
Atmos. Chem. Phys., 20, 1591–1605, 2020
https://doi.org/10.5194/acp-20-1591-2020

Special issue: The ACRIDICON-CHUVA campaign to study deep convective clouds...

Atmos. Chem. Phys., 20, 1591–1605, 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 et al.

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Interactive discussion

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 Svenja Lange on behalf of the Authors (07 Nov 2019)  Author's response
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
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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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