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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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ACP | Articles | Volume 18, issue 3
Atmos. Chem. Phys., 18, 2035–2047, 2018
https://doi.org/10.5194/acp-18-2035-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 2035–2047, 2018
https://doi.org/10.5194/acp-18-2035-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Feb 2018

Research article | 13 Feb 2018

Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data

Daniel T. McCoy et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel McCoy on behalf of the Authors (23 Dec 2017)  Author's response    Manuscript
ED: Publish as is (07 Jan 2018) by Fangqun Yu
Publications Copernicus
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Short summary
The interaction between clouds and aerosols represents the largest source of uncertainty in the anthropogenic radiative forcing. Cloud droplet number concentration (CDNC) is the state variable that moderates the interaction between aerosol and clouds. Here we show that CDNC decreases off the coasts of East Asia and North America due to controls on emissions. We support this analysis through an examination of volcanism in Hawaii and Vanuatu.
The interaction between clouds and aerosols represents the largest source of uncertainty in the...
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