Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Methods for assessment of models
 | 
25 Jan 2024
Methods for assessment of models |  | 25 Jan 2024

Sensitivity of air quality model responses to emission changes: comparison of results based on four EU inventories through FAIRMODE benchmarking methodology

Alexander de Meij, Cornelis Cuvelier, Philippe Thunis, Enrico Pisoni, and Bertrand Bessagnet

Viewed

Total article views: 1,023 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
780 194 49 1,023 59 49 74
  • HTML: 780
  • PDF: 194
  • XML: 49
  • Total: 1,023
  • Supplement: 59
  • BibTeX: 49
  • EndNote: 74
Views and downloads (calculated since 29 Jun 2023)
Cumulative views and downloads (calculated since 29 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,023 (including HTML, PDF, and XML) Thereof 1,029 with geography defined and -6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
In our study the robustness of the model responses to emission reductions in the EU is assessed when the emission data are changed. Our findings are particularly important to better understand the uncertainties associated to the emission inventories and how these uncertainties impact the level of accuracy of the resulting air quality modelling, which is a key for designing air quality plans. Also crucial is the choice of indicator to avoid misleading interpretations of the results.
Read more