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

Data sets

MOASA Clean Air Project: airborne atmospheric measurements collection Met Office and Angela Mynard https://doi.org/10.5285/0aa1ec0cf18e4065bdae8ae39260fe7d

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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).