Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3417-2019
https://doi.org/10.5194/amt-12-3417-2019
Research article
 | Highlight paper
 | 
27 Jun 2019
Research article | Highlight paper |  | 27 Jun 2019

Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy

Nicholas W. Davies, Cathryn Fox, Kate Szpek, Michael I. Cotterell, Jonathan W. Taylor, James D. Allan, Paul I. Williams, Jamie Trembath, Jim M. Haywood, and Justin M. Langridge

Viewed

Total article views: 4,705 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,708 946 51 4,705 61 71
  • HTML: 3,708
  • PDF: 946
  • XML: 51
  • Total: 4,705
  • BibTeX: 61
  • EndNote: 71
Views and downloads (calculated since 14 Jan 2019)
Cumulative views and downloads (calculated since 14 Jan 2019)

Viewed (geographical distribution)

Total article views: 4,705 (including HTML, PDF, and XML) Thereof 4,349 with geography defined and 356 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
This research project assesses biases in traditional, filter-based, aerosol absorption measurements by comparison to state-of-the-art, non-filter-based, or in situ, measurements. We assess biases in traditional absorption measurements for three main aerosol types, including dust and fresh and aged biomass burning aerosols. The main results of this study are that the traditional and state-of-the-art absorption measurements are well correlated and that biases in the former are up to 45 %.