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
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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

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nicholas Davies on behalf of the Authors (11 May 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (21 May 2019) by Omar Torres
RR by Anonymous Referee #2 (29 May 2019)
ED: Publish as is (29 May 2019) by Omar Torres
AR by Nicholas Davies on behalf of the Authors (30 May 2019)  Manuscript 
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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 %.