Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4155-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-4155-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Methods for assessment of models
 | 
22 May 2024
Methods for assessment of models |  | 22 May 2024

Assessment of surface ozone products from downscaled CAMS reanalysis and CAMS daily forecast using urban air quality monitoring stations in Iran

Najmeh Kaffashzadeh and Abbas-Ali Aliakbari Bidokhti

Viewed

Total article views: 931 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
710 157 64 931 47 53
  • HTML: 710
  • PDF: 157
  • XML: 64
  • Total: 931
  • BibTeX: 47
  • EndNote: 53
Views and downloads (calculated since 02 Jan 2024)
Cumulative views and downloads (calculated since 02 Jan 2024)

Viewed (geographical distribution)

Total article views: 931 (including HTML, PDF, and XML) Thereof 932 with geography defined and -1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
This paper assesses the capability of two state-of-the-art global datasets in simulating surface ozone over Iran using a new methodology. It is found that the global model data need to be downscaled for regulatory purposes or policy applications at local scales. The method can be useful not only for the evaluation but also for the prediction of other chemical species, such as aerosols.

 

Read more