Articles | Volume 18, issue 3
Atmos. Chem. Phys., 18, 2035–2047, 2018
https://doi.org/10.5194/acp-18-2035-2018
Atmos. Chem. Phys., 18, 2035–2047, 2018
https://doi.org/10.5194/acp-18-2035-2018

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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
Download
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.
Altmetrics
Final-revised paper
Preprint