Articles | Volume 18, issue 13
https://doi.org/10.5194/gmd-18-4231-2025
https://doi.org/10.5194/gmd-18-4231-2025
Methods for assessment of models
 | 
15 Jul 2025
Methods for assessment of models |  | 15 Jul 2025

A new set of indicators for model evaluation complementing FAIRMODE's modelling quality objective (MQO)

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

Viewed

Total article views: 384 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
300 57 27 384 38 16 30
  • HTML: 300
  • PDF: 57
  • XML: 27
  • Total: 384
  • Supplement: 38
  • BibTeX: 16
  • EndNote: 30
Views and downloads (calculated since 03 Jan 2025)
Cumulative views and downloads (calculated since 03 Jan 2025)

Viewed (geographical distribution)

Total article views: 384 (including HTML, PDF, and XML) Thereof 373 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Jul 2025
Download
Short summary
We assess relevance and utility indicators by evaluating nine Copernicus Atmospheric Monitoring Service models in calculated air pollutant values. For NO2, the results highlight difficulties at traffic stations. For PM2.5 and PM10 the bias and winter–summer gradients reveal issues. O3 evaluation shows that seasonal gradients are useful. Overall, the indicators reveal model limitations, yet there is a need to reconsider the strictness of some indicators for certain pollutants.
Share