Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 14
Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10647-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-10647-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 14
Research article
 | 
30 Jul 2026
Research article |  | 30 Jul 2026

Compensating biases in CCN predictions from composition averaging and neglected surfactant effects

Xiaotian Xu, Jeffrey H. Curtis, Matthew West, and Nicole Riemer

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Short summary
This study examines how common simplifications in atmospheric models affect predictions of particles that form cloud droplets. Using a detailed simulation that tracks individual particles, we compare it with simplified approaches. We find that these simplifications can produce seemingly accurate results because different errors cancel each other. However, this masks incorrect physical processes. Including surfactants effect improves predictions, highlighting a pathway to better climate modeling.
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