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.
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.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
25 Jun 2026
Model evaluation paper |
| 25 Jun 2026
| 25 Jun 2026
Benchmarking ozone stress parameterizations in CLM5: a global mechanistic assessment of thresholds and memory effects
Peng Zhou
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction (ESPDRR), Beijing Normal University, Beijing, China
Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
Institute of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Jieming Chou
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction (ESPDRR), Beijing Normal University, Beijing, China
Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
Institute of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Li Dan
CORRESPONDING AUTHOR
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Jean-François Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Climate Modeling and Analysis, LLC, Superior, CO, USA
Muhammad Bilal
Architecture and City Design Department, College of Design and Built Environment, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia
Center for Aviation and Space Exploration, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi Arabia
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Mengting Sun
College of Ecology and Environment, Xinjiang University, Urumqi, China
Rebecca Buccholz
National Center for Atmospheric Research, Boulder, CO, USA
Desneiges Murray
Department of Biology, Boston University, Boston, MA, USA
Zhaoxiang Cao
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Jing Peng
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Kai Li
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Fuqiang Yang
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Wei Pan
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Jinyan Chen
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Liwen Xing
Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Data sets
Modified ozone stress parameterization schemes for vegetation damage simulation in CTSM 5.3 Peng Zhou https://doi.org/10.5281/zenodo.18324274
Model code and software
Modified ozone stress parameterization schemes for vegetation damage simulation in CTSM 5.3 Peng Zhou https://doi.org/10.5281/zenodo.18323484
AdrienDams/CTSM: sturm-paper (v1.0.0) CTSM Development Team and A. Damseaux https://doi.org/10.5281/zenodo.15174742
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.
We assessed the impact of ozone damage representations in a land-surface model on simulations of...
