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

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

doi:https://doi.org/10.5194/gmd-18-4231-2025

Articles | Volume 18, issue 13

https://doi.org/10.5194/gmd-18-4231-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-4231-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 13

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

Supplement

https://doi.org/10.5194/gmd-18-4231-2025-supplement

Data sets

Source code and data to: "A new set of indicators for model evaluation complementing to FAIRMODE's MQO" Cornelis Cuvelier et al. https://doi.org/10.5281/zenodo.14870503

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 PM_2.5 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.