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matthewozon
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The reference [14] has some text that is really disturbing. In this paragraph, the authors describe their understanding of papers that I know fairly well. They did not understand what happens in these paper, and they misinterpreted the assumptions.
"A few studies have addressed this issue of possible size
distribution changes happening during a scan. Voutilainen
and Kaipio (2001) presented an algorithm based on the
Kalman filter. They let the particle size distribution change
in discrete steps at each measurement based on the obser-
vation and a random walker. Subsequently, a smoother and
a non-negativity constraint were applied. The algorithm was
applied to synthetic data, and it reproduced a slowly varying
size distribution well. Voutilainen and Kaipio (2002, 2005)
parametrised the size distribution and replaced the random
walker by estimations of the time evolution based on an
aerosol model which took coagulation and condensation into
account. The underlying assumption is that the DMPS con-
tinuously samples from the same aerosol, which changes in
time due to these processes. Also this assumption is generally
invalid in a city. Although the algorithm by Voutilainen and
Kaipio (2005) was also shown to adjust to abrupt changes in
the aerosol within a couple of minutes, it was not designed
for use in urban locations."
If we add reference to inversion papers, I think we should add the following ones as well:
- [15] D. Stolzenburg, M. Ozon, M. Kulmala, K. Lehtinen, K. Lehtipalo, J. Kangasluoma, Combining instrument inversions for sub-10 nm aerosol number size-distribution measurements, 2022, 159, 105862 DOI: 10.1016/j.jaerosci.2021.105862
- [16] M. Ozon, D. Stolzenburg, L. Dada, A. Seppänen, K. Lehtinen, Aerosol formation and growth rates from chamber experiments using Kalman smoothing, 2021, 21, p. 12595-12611. DOI: 10.5194/acp-21-12595-2021
One ref and pages of MS0 ref added.