Articles | Volume 16, issue 18
https://doi.org/10.5194/amt-16-4229-2023
https://doi.org/10.5194/amt-16-4229-2023
Research article
 | 
21 Sep 2023
Research article |  | 21 Sep 2023

Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation

Angela Mynard, Joss Kent, Eleanor R. Smith, Andy Wilson, Kirsty Wivell, Noel Nelson, Matthew Hort, James Bowles, David Tiddeman, Justin M. Langridge, Benjamin Drummond, and Steven J. Abel

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Angela Mynard on behalf of the Authors (02 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Jun 2023) by Markus Rapp
RR by Anonymous Referee #1 (20 Jun 2023)
RR by Anonymous Referee #2 (04 Jul 2023)
ED: Publish subject to minor revisions (review by editor) (06 Jul 2023) by Markus Rapp
AR by Angela Mynard on behalf of the Authors (19 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (31 Jul 2023) by Markus Rapp
AR by Angela Mynard on behalf of the Authors (03 Aug 2023)
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Short summary
Air quality models are key in understanding complex air pollution processes and assist in developing strategies to mitigate the impacts of air pollution. The ability of regional air quality models to skilfully represent pollutant distributions aloft is important to enabling their skilful prediction at the surface. To assist in model development and evaluation, a long-term, quality-assured dataset of the 3-D distribution of key pollutants was collected over the United Kingdom (2019–2022).