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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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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.
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ACP | Articles | Volume 18, issue 3
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.
ACP | Articles | Volume 18, issue 3

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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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.
Read more
Citation
Altmetrics
Final-revised paper
Preprint
Atmospheric Chemistry and Physics

An interactive open-access journal of the European Geosciences Union

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