Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5491-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5491-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Model evaluation paper
 | 
25 Jun 2026
Model evaluation paper |  | 25 Jun 2026

Benchmarking ozone stress parameterizations in CLM5: a global mechanistic assessment of thresholds and memory effects

Peng Zhou, Jieming Chou, Li Dan, Jean-François Lamarque, Muhammad Bilal, Fang Li, Mengting Sun, Rebecca Buccholz, Desneiges Murray, Zhaoxiang Cao, Jing Peng, Kai Li, Fuqiang Yang, Wei Pan, Jinyan Chen, and Liwen Xing

Viewed

Total article views: 1,436 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
852 505 79 1,436 70 140
  • HTML: 852
  • PDF: 505
  • XML: 79
  • Total: 1,436
  • BibTeX: 70
  • EndNote: 140
Views and downloads (calculated since 24 Feb 2026)
Cumulative views and downloads (calculated since 24 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,436 (including HTML, PDF, and XML) Thereof 1,421 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Jun 2026
Download
Short summary
We assessed the impact of ozone damage representations in a land-surface model on simulations of vegetation productivity. Results varied depending on how ozone effects were triggered and how vegetation recovery was modeled. Schemes that incorporated vegetation-specific thresholds and memory effects on photosynthesis and water loss more accurately reflected spatial patterns, indicating directions for enhancing model realism and improving projections of ecosystem responses to ozone pollution.
Read more
Share