Articles | Volume 22, issue 1
https://doi.org/10.5194/bg-22-181-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-181-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jan 2025
Research article |
| 10 Jan 2025
| 10 Jan 2025
Development of the DO3SE-Crop model to assess ozone effects on crop phenology, biomass, and yield
Stockholm Environment Institute at York, Department of Environment and Geography, University of York, YO10 5DD, York, UK
Sam Bland
Stockholm Environment Institute at York, Department of Environment and Geography, University of York, YO10 5DD, York, UK
Nathan Booth
Department of Environment and Geography, University of York, YO10 5DD, York, UK
Department of Environment and Geography, University of York, YO10 5DD, York, UK
Zhaozhong Feng
Key Laboratory of Agrometeorology of Jiangsu Province, School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China
Lisa Emberson
Department of Environment and Geography, University of York, YO10 5DD, York, UK
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EGUsphere, https://doi.org/10.5194/egusphere-2025-2899, https://doi.org/10.5194/egusphere-2025-2899, 2025
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Surface ozone (O3) is well-known for posing great threats to both human health and agriculture worldwide. However, a multidecadal assessment of the impacts of O3 on public health and agriculture in China is lacking without sufficient O3 observations. We used a hybrid approach combining a chemical transport model and machine learning to provide a robust dataset of O3 concentrations over the past 4 decades in China, thereby filling the gap in the long-term O3 trend and impact assessment in China.
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Yimian Ma, Xu Yue, Stephen Sitch, Nadine Unger, Johan Uddling, Lina M. Mercado, Cheng Gong, Zhaozhong Feng, Huiyi Yang, Hao Zhou, Chenguang Tian, Yang Cao, Yadong Lei, Alexander W. Cheesman, Yansen Xu, and Maria Carolina Duran Rojas
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Revised manuscript not accepted
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Short summary
The DO3SE-Crop model extends the DO3SE to simulate ozone's impact on crops with modules for ozone uptake, damage, and crop growth from JULES-crop. It's versatile, suits China's varied agriculture, and improves yield predictions under ozone stress. It is essential for policy, water management, and climate response, and it integrates into Earth system models for a comprehensive understanding of agriculture's interaction with global systems.
The DO3SE-Crop model extends the DO3SE to simulate ozone's impact on crops with modules for...
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