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

Related authors

Retrieval of process rate parameters in the general dynamic equation for aerosols using Bayesian state estimation: BAYROSOL1.0
Matthew Ozon, Aku Seppänen, Jari P. Kaipio, and Kari E. J. Lehtinen
Geosci. Model Dev., 14, 3715–3739, https://doi.org/10.5194/gmd-14-3715-2021,https://doi.org/10.5194/gmd-14-3715-2021, 2021
Short summary
Identification of new particle formation events with deep learning
Jorma Joutsensaari, Matthew Ozon, Tuomo Nieminen, Santtu Mikkonen, Timo Lähivaara, Stefano Decesari, M. Cristina Facchini, Ari Laaksonen, and Kari E. J. Lehtinen
Atmos. Chem. Phys., 18, 9597–9615, https://doi.org/10.5194/acp-18-9597-2018,https://doi.org/10.5194/acp-18-9597-2018, 2018
Short summary

Related subject area

Subject: Aerosols | Research Activity: Laboratory Studies | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Contribution of brown carbon to light absorption in emissions of European residential biomass combustion appliances
Satish Basnet, Anni Hartikainen, Aki Virkkula, Pasi Yli-Pirilä, Miika Kortelainen, Heikki Suhonen, Laura Kilpeläinen, Mika Ihalainen, Sampsa Väätäinen, Juho Louhisalmi, Markus Somero, Jarkko Tissari, Gert Jakobi, Ralf Zimmermann, Antti Kilpeläinen, and Olli Sippula
Atmos. Chem. Phys., 24, 3197–3215, https://doi.org/10.5194/acp-24-3197-2024,https://doi.org/10.5194/acp-24-3197-2024, 2024
Short summary
Measurement report: Water diffusion in single suspended phase-separated aerosols
Yu-Kai Tong, Zhijun Wu, Min Hu, and Anpei Ye
Atmos. Chem. Phys., 24, 2937–2950, https://doi.org/10.5194/acp-24-2937-2024,https://doi.org/10.5194/acp-24-2937-2024, 2024
Short summary
Water activity and surface tension of aqueous ammonium sulfate and D-glucose aerosol nanoparticles
Eugene F. Mikhailov, Sergey S. Vlasenko, and Alexei A. Kiselev
Atmos. Chem. Phys., 24, 2971–2984, https://doi.org/10.5194/acp-24-2971-2024,https://doi.org/10.5194/acp-24-2971-2024, 2024
Short summary
Jet aircraft lubrication oil droplets as contrail ice-forming particles
Joel Ponsonby, Leon King, Benjamin J. Murray, and Marc E. J. Stettler
Atmos. Chem. Phys., 24, 2045–2058, https://doi.org/10.5194/acp-24-2045-2024,https://doi.org/10.5194/acp-24-2045-2024, 2024
Short summary
A study on the influence of inorganic ions, organic carbon and microstructure on the hygroscopic property of soot
Zhanyu Su, Lanxiadi Chen, Yuan Liu, Peng Zhang, Tianzeng Chen, Biwu Chu, Mingjin Tang, Qingxin Ma, and Hong He
Atmos. Chem. Phys., 24, 993–1003, https://doi.org/10.5194/acp-24-993-2024,https://doi.org/10.5194/acp-24-993-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint