Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 12
Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4475-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-4475-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 12
Development and technical paper
 | 
16 Dec 2016
Development and technical paper |  | 16 Dec 2016

Improving the spatial resolution of air-quality modelling at a European scale – development and evaluation of the Air Quality Re-gridder Model (AQR v1.1)

Mark R. Theobald, David Simpson, and Massimo Vieno

Viewed

Total article views: 3,587 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,093 1,311 183 3,587 403 167 177
  • HTML: 2,093
  • PDF: 1,311
  • XML: 183
  • Total: 3,587
  • Supplement: 403
  • BibTeX: 167
  • EndNote: 177
Views and downloads (calculated since 11 Jul 2016)
Cumulative views and downloads (calculated since 11 Jul 2016)

Cited

Latest update: 22 Feb 2025
Download
Short summary
Impacts of air pollution at a continental scale, estimated using air quality models, can potentially be greatly under- or overestimated due to the low spatial resolution used (grid cells of 10–50 km). We present a method to estimate the spatial variations in air quality within a model grid cell by combining high-resolution emission data with estimates of short range dispersion. This simple but robust technique has the potential to improve estimates of air quality impacts at a continental scale.
Read more
Share