Articles | Volume 16, issue 1
https://doi.org/10.5194/amt-16-169-2023
https://doi.org/10.5194/amt-16-169-2023
Research article
 | 
13 Jan 2023
Research article |  | 13 Jan 2023

Identifying optimal co-location calibration periods for low-cost sensors

Misti Levy Zamora, Colby Buehler, Abhirup Datta, Drew R. Gentner, and Kirsten Koehler

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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-2022-200', Anonymous Referee #1, 26 May 2022
    • AC1: 'Reply on RC1', Misti Levy Zamora, 30 Nov 2022
  • RC2: 'Comment on egusphere-2022-200', Sreekanth Vakacherla, 02 Nov 2022
    • AC2: 'Reply on RC2', Misti Levy Zamora, 30 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Misti Levy Zamora on behalf of the Authors (30 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Dec 2022) by Maria Dolores Andrés Hernández
AR by Misti Levy Zamora on behalf of the Authors (19 Dec 2022)  Author's response   Manuscript 
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Short summary
We assessed five pairs of co-located reference and low-cost sensor data sets (PM2.5, O3, NO2, NO, and CO) to make recommendations for best practices regarding the field calibration of low-cost air quality sensors. We found diminishing improvements for calibration periods longer than about 6 weeks for all sensors and that co-location can be minimized if the period is strategically selected and monitored so that the calibration period is representative of the desired measurement setting.