Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3579-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3579-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Model evaluation paper
 | 
03 May 2024
Model evaluation paper |  | 03 May 2024

Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec

Shoma Yamanouchi, Shayamilla Mahagammulla Gamage, Sara Torbatian, Jad Zalzal, Laura Minet, Audrey Smargiassi, Ying Liu, Ling Liu, Forood Azargoshasbi, Jinwoong Kim, Youngseob Kim, Daniel Yazgi, and Marianne Hatzopoulou

Viewed

Total article views: 828 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
663 125 40 828 30 33
  • HTML: 663
  • PDF: 125
  • XML: 40
  • Total: 828
  • BibTeX: 30
  • EndNote: 33
Views and downloads (calculated since 10 Nov 2023)
Cumulative views and downloads (calculated since 10 Nov 2023)

Viewed (geographical distribution)

Total article views: 828 (including HTML, PDF, and XML) Thereof 819 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Air pollution is a major health hazard, and chemical transport models (CTMs) are valuable tools that aid in our understanding of the risks of air pollution at both local and regional scales. In this study, the Polair3D CTM of the Polyphemus air quality modeling platform was set up over Quebec, Canada, to assess the model’s capability in predicting key air pollutant species over the region, at seasonal temporal scales and at regional spatial scales.
Read more