Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 16
Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12595-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-12595-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 16
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

Viewed

Total article views: 3,274 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,342 862 70 3,274 274 84 83
  • HTML: 2,342
  • PDF: 862
  • XML: 70
  • Total: 3,274
  • Supplement: 274
  • BibTeX: 84
  • EndNote: 83
Views and downloads (calculated since 18 Mar 2021)
Cumulative views and downloads (calculated since 18 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,274 (including HTML, PDF, and XML) Thereof 3,274 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Oct 2025
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint