Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 10
Articles | Volume 24, issue 10
https://doi.org/10.5194/acp-24-5953-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-5953-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 10
Technical note
 | 
24 May 2024
Technical note |  | 24 May 2024

Technical note: An assessment of the performance of statistical bias correction techniques for global chemistry–climate model surface ozone fields

Christoph Staehle, Harald E. Rieder, Arlene M. Fiore, and Jordan L. Schnell

Viewed

Total article views: 690 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
521 137 32 690 46 24 22
  • HTML: 521
  • PDF: 137
  • XML: 32
  • Total: 690
  • Supplement: 46
  • BibTeX: 24
  • EndNote: 22
Views and downloads (calculated since 23 Nov 2023)
Cumulative views and downloads (calculated since 23 Nov 2023)

Viewed (geographical distribution)

Total article views: 690 (including HTML, PDF, and XML) Thereof 779 with geography defined and -89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Chemistry–climate models show biases compared to surface ozone observations and thus require bias correction for impact studies and the assessment of air quality changes. We compare the performance of commonly used correction techniques for model outputs available via CMIP6. While all methods can reduce model biases, better results are obtained from more complex approaches. Thus, our study suggests broader use of these techniques in studies seeking to inform air quality management and policy.
Read more
Altmetrics
Final-revised paper
Preprint