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Abstract

Cloud reflectivity is sensitive to atmospheric aerosol concentrations because aerosols provide the condensation nuclei on which water condenses1. Increased aerosol concentrations due to human activity affect droplet number concentration, liquid water and cloud fraction2, but these changes are subject to large uncertainties3. Ship tracks, long lines of polluted clouds that are visible in satellite images, are one of the main tools for quantifying aerosol-cloud interactions4. However, only a small fraction of the clouds polluted by shipping show ship tracks5,6. Here we show that even when no ship tracks are visible in satellite images, aerosol emissions change cloud properties substantially. We develop a new method to quantify the effect of shipping on all clouds, showing a cloud droplet number increase and a more positive liquid water response when there are no visible tracks. We directly detect shipping-induced cloud property changes in the trade cumulus regions of the Atlantic, which are known to display almost no visible tracks. Our results indicate that previous studies of ship tracks were suffering from selection biases by focusing only on visible tracks from satellite imagery. The strong liquid water path response we find translates to a larger aerosol cooling effect on the climate, potentially masking a higher climate sensitivity than observed temperature trends would otherwise suggest.

Details

Title
Invisible ship tracks show large cloud sensitivity to aerosol
Author
Manshausen, Peter 1 ; Watson-Parris, Duncan 1 ; Christensen, Matthew W 2 ; Jalkanen, Jukka-Pekka 3 ; Stier, Philip 1 

 Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK 
 Pacific Northwest National Laboratory, Richland, WA, USA 
 Finnish Meteorological Institute, Helsinki, Finland 
Pages
101-106,106A-106J
Section
Article
Publication year
2022
Publication date
Oct 6, 2022
Publisher
Nature Publishing Group
ISSN
00280836
e-ISSN
14764687
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2723219632
Copyright
Copyright Nature Publishing Group Oct 6, 2022