Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12595-2021
https://doi.org/10.5194/acp-21-12595-2021
Research article
 | 
23 Aug 2021
Research article |  | 23 Aug 2021

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Matthew Ozon, Dominik Stolzenburg, Lubna Dada, Aku Seppänen, and Kari E. J. Lehtinen

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Revised manuscript accepted for ACP
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Cited articles

Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989. 
Appel, B. R., Tokiwa, Y., Hsu, J., Kothny, E. L., and Hahn, E.: Visibility as related to atmospheric aerosol constituents, Atmos. Environ., 19, 1525–1534, https://doi.org/10.1016/0004-6981(85)90290-2, 1985. 
Chambolle, A. and Pock, T.: A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging, J. Math. Imaging Vis., 40, 120–145, https://doi.org/10.1007/s10851-010-0251-1, 2011. 
Dada, L., Lehtipalo, K., Kontkanen, J., Nieminen, T., Baalbaki, R., Ahonen, L., Duplissy, J., Yan, C., Chu, B., Petäjä, T., Lehtinen, K., Kerminen, V.-M., Kulmala, M., and Kangasluoma, J.: Formation and growth of sub-3-nm aerosol particles in experimental chambers, Nat. Protoc., 15, 1013–1040, https://doi.org/10.1038/s41596-019-0274-z, 2020. 
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Short summary
Measuring the rate at which aerosol particles are formed is of importance for understanding climate change. We present an analysis method based on Kalman smoothing, which retrieves new particle formation and growth rates from size-distribution measurements. We apply it to atmospheric simulation chamber experiments and show that it agrees well with traditional methods. In addition, it provides reliable uncertainty estimates, and we suggest instrument design optimisation for signal processing.
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