Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-15149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-15149-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Dec 2023
Research article |
| 13 Dec 2023
| 13 Dec 2023
Comparison of six approaches to predicting droplet activation of surface active aerosol – Part 2: Strong surfactants
Sampo Vepsäläinen
Nano and Molecular Systems Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
Silvia M. Calderón
Finnish Meteorological Institute, P.O. Box 1627, 70211, Kuopio, Finland
Center for Atmospheric Research, University of Oulu, P.O. Box 4500, 90014, Oulu, Finland
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Short summary
Atmospheric aerosols act as seeds for cloud formation. Many aerosols contain surface active material that accumulates at the surface of growing droplets. This can affect cloud droplet activation, but the broad significance of the effect and the best way to model it are still debated. We compare predictions of six models to surface activity of strongly surface active aerosol and find significant differences between the models, especially with large fractions of surfactant in the dry particles.
Atmospheric aerosols act as seeds for cloud formation. Many aerosols contain surface active...
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