Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 20
Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-6029-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6029-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 20
Methods for assessment of models
 | 
27 Oct 2023
Methods for assessment of models |  | 27 Oct 2023

A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe

Lina Vitali, Kees Cuvelier, Antonio Piersanti, Alexandra Monteiro, Mario Adani, Roberta Amorati, Agnieszka Bartocha, Alessandro D'Ausilio, Paweł Durka, Carla Gama, Giulia Giovannini, Stijn Janssen, Tomasz Przybyła, Michele Stortini, Stijn Vranckx, and Philippe Thunis

Viewed

Total article views: 2,177 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,644 462 71 2,177 48 33
  • HTML: 1,644
  • PDF: 462
  • XML: 71
  • Total: 2,177
  • BibTeX: 48
  • EndNote: 33
Views and downloads (calculated since 12 Apr 2023)
Cumulative views and downloads (calculated since 12 Apr 2023)

Viewed (geographical distribution)

Total article views: 2,177 (including HTML, PDF, and XML) Thereof 2,105 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Air quality forecasting models play a key role in fostering short-term measures aimed at reducing human exposure to air pollution. Together with this role comes the need for a thorough assessment of the model performances to build confidence in models’ capabilities, in particular when model applications support policymaking. In this paper, we propose an evaluation methodology and test it on several domains across Europe, highlighting its strengths and room for improvement.
Read more