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

Model code and software

BAYROSOL Matthew Ozon, Dominik Stolzenburg, and Lubna Dada

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.
Final-revised paper