Articles | Volume 26, issue 4
https://doi.org/10.5194/acp-26-2985-2026
https://doi.org/10.5194/acp-26-2985-2026
Research article
 | 
27 Feb 2026
Research article |  | 27 Feb 2026

Contrasting aerosol mixing states at inland and coastal sites: an entropy-based metric for CCN activity

Jingye Ren, Wei Xu, Ru-Jin Huang, Fang Zhang, Ying Wang, Lu Chen, Jurgita Ovadnevaite, Darius Ceburnis, Colin O'Dowd, and Yele Sun

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Cited articles

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Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley Jr., J. A., Hansen, J. E., and Hofmann, D. J.: Climate forcing by anthropogenic aerosols, Science, 255, 423–430, https://doi.org/10.1126/science.255.5043.423, 1992. 
Chen, Y., Haywood, J., Wang, Y., Malavelle, F., Jordan, G., Partridge, D., Fieldsend, J., Leeuw, J. D., Schmidt, A., Cho, N., Oreopoulos, L., Platnick, S., Grosvenor, D., Field, P., and Lohmann, U.: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover, Nature Geoscience, 15, 609–614, https://doi.org/10.1038/s41561-022-01027-9, 2022a. 
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Impact of mixing state on cloud condensation nuclei (CCN) was incorporated in limited modeling with simplified assumption. This study derived a mixing state index from hygroscopicity and systematically investigated the covariation between the mixing state and CCN activity in inland and coastal air. We propose a practical approach for estimating critical diameter from mixing state index, applicable when the aerosol particles are not highly aged.
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