Articles | Volume 19, issue 9
https://doi.org/10.5194/amt-19-3123-2026
https://doi.org/10.5194/amt-19-3123-2026
Research article
 | 
12 May 2026
Research article |  | 12 May 2026

Quantitative uncertainty and post-processing for micro-aethalometers measuring black carbon

Timothy A. Sipkens, Joel C. Corbin, Kerry Chen, Laura-Helena Rivellini, Jonathan Abbatt, and Jason S. Olfert

Viewed

Total article views: 2,788 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,815 766 207 2,788 213 154 121
  • HTML: 1,815
  • PDF: 766
  • XML: 207
  • Total: 2,788
  • Supplement: 213
  • BibTeX: 154
  • EndNote: 121
Views and downloads (calculated since 10 Nov 2025)
Cumulative views and downloads (calculated since 10 Nov 2025)

Viewed (geographical distribution)

Total article views: 2,788 (including HTML, PDF, and XML) Thereof 2,785 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 May 2026
Download
Short summary
Aethalometers measure black carbon mass concentrations using light attenuation through a filter capturing particles. This work compares five micro-aethalometers using known mass concentrations of laboratory-generated soot. Uncertainties were found to scale with mass concentration, and an expression is given for the uncertainty as a function of mass concentration, sampling interval, and flow rate. An open-source algorithm is provided for the reanalysis of aethalometer data.
Share