Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 18
Articles | Volume 16, issue 18
https://doi.org/10.5194/amt-16-4229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 18
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

Viewed

Total article views: 1,802 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,290 446 66 1,802 51 57
  • HTML: 1,290
  • PDF: 446
  • XML: 66
  • Total: 1,802
  • BibTeX: 51
  • EndNote: 57
Views and downloads (calculated since 08 Feb 2023)
Cumulative views and downloads (calculated since 08 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,802 (including HTML, PDF, and XML) Thereof 1,840 with geography defined and -38 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
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).
Read more