Articles | Volume 19, issue 21
https://doi.org/10.5194/amt-19-7097-2026
https://doi.org/10.5194/amt-19-7097-2026
Research article
 | 
06 Nov 2026
Research article |  | 06 Nov 2026

Calculation of the impacts of aerosols on cloud microphysical properties by combining ground- and space-based measurements

Suzanne Crumeyrolle, Quentin Coopman, Eric Bourrianne, Clara Lapointe, Eloise Delbarre, Elise Devigne, Olivier Pujol, Romain De Filippi, and Timothy J. Garrett

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Cited articles

Benas, N., Solodovnik, I., Stengel, M., Hüser, I., Karlsson, K.-G., Håkansson, N., Johansson, E., Eliasson, S., Schröder, M., Hollmann, R., and Meirink, J. F.: CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations, Earth Syst. Sci. Data, 15, 5153–5170, https://doi.org/10.5194/essd-15-5153-2023, 2023. 
Bennartz, R. and Rausch, J.: Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations, Atmos. Chem. Phys., 17, 9815–9836, https://doi.org/10.5194/acp-17-9815-2017, 2017. 
Boichu, M., Favez, O., Riffault, V., Petit, J.-E., Zhang, Y., Brogniez, C., Sciare, J., Chiapello, I., Clarisse, L., Zhang, S., Pujol-Söhne, N., Tison, E., Delbarre, H., and Goloub, P.: Large-scale particulate air pollution and chemical fingerprint of volcanic sulfate aerosols from the 2014–2015 Holuhraun flood lava eruption of Bárðarbunga volcano (Iceland), Atmos. Chem. Phys., 19, 14253–14287, https://doi.org/10.5194/acp-19-14253-2019, 2019. 
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P. M., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and Aerosols, in: Climate Change 2013: The Physical Science Basis, in: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, https://doi.org/10.1017/CBO9781107415324.016, 2013. 
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Short summary
This study presents a novel methodology to improve our understanding and the estimation of aerosol–cloud interactions (ACI). Its innovation lies in the synergy between in-situ measurements and remote sensing from ground based and satellite observations. This approach aims to refine the characterization of cloud properties susceptibilities to aerosol burden as a function of particle physicochemical properties, offering new insights for climate modeling and atmospheric process understanding.
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