Comparison of six approaches to predicting droplet activation of surface active aerosol  – Part 2: Strong surfactants

Vepsäläinen, Sampo; Calderón, Silvia M.; Prisle, Nønne L.

doi:https://doi.org/10.5194/acp-23-15149-2023

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.

https://doi.org/10.5194/acp-23-15149-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 23

Research article

|

13 Dec 2023

Research article |

| 13 Dec 2023

Comparison of six approaches to predicting droplet activation of surface active aerosol – Part 2: Strong surfactants

Sampo Vepsäläinen, Silvia M. Calderón, and Nønne L. Prisle

Supplement

https://doi.org/10.5194/acp-23-15149-2023-supplement

Data sets

Output data for "Comparison of six approaches to predicting droplet activation of surface active aerosol. Part 2: strong surfactants" by Vepsäläinen et al. (2023) Vepsäläinen Sampo, Silvia M. Calderón, and Nønne L. Prisle https://doi.org/10.5281/zenodo.10006607

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.