Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1137-2020
© Author(s) 2020. 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-13-1137-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
12 Mar 2020
Model evaluation paper |
| 12 Mar 2020
| 12 Mar 2020
Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions
Yadong Lei
Climate Change Research Center, Institute of Atmospheric Physics,
Chinese Academy of Sciences, Beijing, 100029, China
University of Chinese Academy of Sciences, Beijing, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Science and
Engineering, Nanjing University of Information Science & Technology
(NUIST), Nanjing, 210044, China
Hong Liao
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Science and
Engineering, Nanjing University of Information Science & Technology
(NUIST), Nanjing, 210044, China
Cheng Gong
University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, 100029, China
Lin Zhang
Laboratory for Climate and Ocean–Atmosphere Studies, Department of
Atmospheric and Oceanic Sciences, School of Physics, Peking University,
Beijing, 100871, China
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- Indirect contributions of global fires to surface ozone through ozone–vegetation feedback Y. Lei et al. 10.5194/acp-21-11531-2021
- Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. 10.5194/gmd-16-2323-2023
- Impacts of Ozone‐Vegetation Interactions on Ozone Pollution Episodes in North China and the Yangtze River Delta C. Gong et al. 10.1029/2021GL093814
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- Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model J. Zhu et al. 10.5194/acp-22-765-2022
- Impacts of global biogenic isoprene emissions on surface ozone during 2000–2019 Y. Cao & X. Yue 10.1016/j.aosl.2024.100490
- Contribution of Fire Emissions to PM2.5 and Its Transport Mechanism Over the Yungui Plateau, China During 2015–2019 J. Zhu et al. 10.1029/2022JD036734
- Quantifying the impacts of environmental stress factors on biogenic volatile organic compound emissions in China C. Gao et al. 10.1016/j.agrformet.2025.110480
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- Investigation of biogenic volatile organic compounds emissions in the Qinghai-Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2023.165877
- Influence of plant ecophysiology on ozone dry deposition: comparing between multiplicative and photosynthesis-based dry deposition schemes and their responses to rising CO2 level S. Sun et al. 10.5194/bg-19-1753-2022
- Spatiotemporal variations and inequalities in global traffic-sourced PM2.5 exposure P. Yu et al. 10.1016/j.envint.2025.109492
- Impacts of terrestrial vegetation on surface ozone in China: from present to carbon neutrality Y. Lei et al. 10.1088/1748-9326/ad281f
- Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. 10.5194/gmd-17-3733-2024
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- Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0 X. Yue et al. 10.5194/gmd-17-4621-2024
- Impacts of land cover changes on summer surface ozone in China during 2000–2019 Y. Cao et al. 10.1016/j.scitotenv.2024.174821
23 citations as recorded by crossref.
- Stomatal conductance influences interannual variability and long-term changes in regional cumulative plant uptake of ozone O. Clifton et al. 10.1088/1748-9326/abc3f1
- Deep cut of anthropogenic nitrogen oxides emissions to mitigate ozone vegetation damages in China M. Lu et al. 10.1016/j.atmosenv.2022.119454
- Indirect contributions of global fires to surface ozone through ozone–vegetation feedback Y. Lei et al. 10.5194/acp-21-11531-2021
- Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. 10.5194/gmd-16-2323-2023
- Impacts of Ozone‐Vegetation Interactions on Ozone Pollution Episodes in North China and the Yangtze River Delta C. Gong et al. 10.1029/2021GL093814
- Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case Z. Wang et al. 10.3389/fenvs.2022.955980
- Global Perspective of Drought Impacts on Ozone Pollution Episodes Y. Lei et al. 10.1021/acs.est.1c07260
- The multi-year contribution of Indo-China peninsula fire emissions to aerosol radiation forcing in southern China during 2013–2019 J. Zhu et al. 10.1016/j.scitotenv.2024.172337
- Global assessment of climatic responses to ozone–vegetation interactions X. Zhou et al. 10.5194/acp-24-9923-2024
- Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model J. Zhu et al. 10.5194/acp-22-765-2022
- Impacts of global biogenic isoprene emissions on surface ozone during 2000–2019 Y. Cao & X. Yue 10.1016/j.aosl.2024.100490
- Contribution of Fire Emissions to PM2.5 and Its Transport Mechanism Over the Yungui Plateau, China During 2015–2019 J. Zhu et al. 10.1029/2022JD036734
- Quantifying the impacts of environmental stress factors on biogenic volatile organic compound emissions in China C. Gao et al. 10.1016/j.agrformet.2025.110480
- Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data H. Li et al. 10.5194/acp-23-1131-2023
- Investigation of biogenic volatile organic compounds emissions in the Qinghai-Tibetan Plateau L. Wang et al. 10.1016/j.scitotenv.2023.165877
- Influence of plant ecophysiology on ozone dry deposition: comparing between multiplicative and photosynthesis-based dry deposition schemes and their responses to rising CO2 level S. Sun et al. 10.5194/bg-19-1753-2022
- Spatiotemporal variations and inequalities in global traffic-sourced PM2.5 exposure P. Yu et al. 10.1016/j.envint.2025.109492
- Impacts of terrestrial vegetation on surface ozone in China: from present to carbon neutrality Y. Lei et al. 10.1088/1748-9326/ad281f
- Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. 10.5194/gmd-17-3733-2024
- Ozone–vegetation feedback through dry deposition and isoprene emissions in a global chemistry–carbon–climate model C. Gong et al. 10.5194/acp-20-3841-2020
- Mitigating ozone damage to ecosystem productivity through sectoral and regional emission controls: a case study in the Yangtze River Delta, China Y. Lei et al. 10.1088/1748-9326/ac6ff7
- Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0 X. Yue et al. 10.5194/gmd-17-4621-2024
- Impacts of land cover changes on summer surface ozone in China during 2000–2019 Y. Cao et al. 10.1016/j.scitotenv.2024.174821
Latest update: 05 Jul 2025
Short summary
We coupled a dynamic vegetation model YIBs with the chemical transport model GEOS-Chem to develop a new tool for studying interactions between atmospheric chemistry and biosphere. Within this framework, leaf area index and stomatal conductance are predicted for chemical simulations. In turn, surface ozone causes negative impacts to plant growth and the consequent dry deposition. Such interactions are important for air pollution prediction but ignored in most of current chemical models.
We coupled a dynamic vegetation model YIBs with the chemical transport model GEOS-Chem to...
