Articles | Volume 14, issue 6
Atmos. Meas. Tech., 14, 4617–4637, 2021
https://doi.org/10.5194/amt-14-4617-2021
Atmos. Meas. Tech., 14, 4617–4637, 2021
https://doi.org/10.5194/amt-14-4617-2021

Research article 22 Jun 2021

Research article | 22 Jun 2021

Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor

Karoline K. Barkjohn et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Karoline Barkjohn on behalf of the Authors (12 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Mar 2021) by Pierre Herckes
RR by Anonymous Referee #3 (18 Mar 2021)
RR by Anonymous Referee #2 (21 Mar 2021)
RR by Anonymous Referee #1 (04 Apr 2021)
ED: Publish subject to minor revisions (review by editor) (07 Apr 2021) by Pierre Herckes
AR by Karoline Barkjohn on behalf of the Authors (27 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Apr 2021) by Pierre Herckes
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Short summary
Although widely used, air sensor measurements are often biased. In this work we develop a correction with a relative humidity term that reduces the bias and improves consistency between different United States regions. This correction equation, along with proposed data cleaning criteria, has been applied to PurpleAir PM2.5 measurements across the US on the AirNow Fire and Smoke Map and has the potential to be successfully used in other air quality and public health applications.