Articles | Volume 18, issue 22
Atmos. Chem. Phys., 18, 16537–16552, 2018
https://doi.org/10.5194/acp-18-16537-2018

Special issue: New observations and related modelling studies of the aerosol–cloud–climate...

Atmos. Chem. Phys., 18, 16537–16552, 2018
https://doi.org/10.5194/acp-18-16537-2018

Research article 22 Nov 2018

Research article | 22 Nov 2018

Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning

Julia Fuchs 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 Julia Fuchs on behalf of the Authors (18 Sep 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (06 Oct 2018) by Timothy J. Dunkerton
AR by Julia Fuchs on behalf of the Authors (12 Oct 2018)  Author's response    Manuscript
ED: Publish as is (04 Nov 2018) by Timothy J. Dunkerton
AR by Julia Fuchs on behalf of the Authors (08 Nov 2018)  Author's response    Manuscript
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Short summary
This study separates the influence of aerosol on cloud properties in the southeast Atlantic region from meteorological conditions in the biomass-burning season. Machine learning is used to link 8-day-averaged satellite and reanalysis data sets. Distinct regimes of aerosol–cloud interactions are identified in the subregions of the southeast Atlantic based on the obtained sensitivities.
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