Articles | Volume 18, issue 13
https://doi.org/10.5194/amt-18-3147-2025
https://doi.org/10.5194/amt-18-3147-2025
Research article
 | 
15 Jul 2025
Research article |  | 15 Jul 2025

Improving the quantification of peak concentrations for air quality sensors via data weighting

Caroline Frischmon, Jonathan Silberstein, Annamarie Guth, Erick Mattson, Jack Porter, and Michael Hannigan

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-4080', Anonymous Referee #1, 17 Feb 2025
    • AC2: 'Reply on RC1', Caroline Frischmon, 25 Mar 2025
  • RC2: 'Comment on egusphere-2024-4080', Anonymous Referee #2, 03 Mar 2025
    • AC1: 'Reply on RC2', Caroline Frischmon, 25 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Caroline Frischmon on behalf of the Authors (25 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Mar 2025) by Albert Presto
RR by Anonymous Referee #1 (12 Apr 2025)
ED: Publish subject to technical corrections (27 Apr 2025) by Albert Presto
AR by Caroline Frischmon on behalf of the Authors (27 Apr 2025)  Manuscript 
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Short summary
Air quality sensors often underpredict peak concentrations, which is a major issue in applications such as emission event detection. Here, we detail a novel approach involving data weighting to improve quantification of these peak values. To demonstrate its effectiveness, we applied data weighting to carbon monoxide, methane, and volatile organic compound sensor data. This work broadens our ability to use air sensors in contexts where accurate quantification of peak concentrations is essential.
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