Articles | Volume 17, issue 11
https://doi.org/10.5194/gmd-17-4621-2024
© Author(s) 2024. 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-17-4621-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
12 Jun 2024
Model evaluation paper |
| 12 Jun 2024
| 12 Jun 2024
Development and evaluation of the interactive Model for Air Pollution and Land Ecosystems (iMAPLE) version 1.0
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 and Technology (NUIST), Nanjing, 210044, China
College of Meteorology and Oceanography, National University of Defense Technology, Changsha, 410073, China
High Impact Weather Key Laboratory of China Meteorological Administration (CMA), Changsha, 410073, China
Chenguang Tian
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 and Technology (NUIST), Nanjing, 210044, China
Yimian Ma
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Yihan Hu
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 and Technology (NUIST), Nanjing, 210044, China
Cheng Gong
Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Hui Zheng
Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, 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 and Technology (NUIST), Nanjing, 210044, China
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| 2,599 | 972 | 250 | 3,821 | 348 | 258 | 296 |
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Total article views: 2,639 (including HTML, PDF, and XML)
Cumulative views and downloads
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| 1,858 | 582 | 199 | 2,639 | 169 | 196 | 247 |
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- Total: 2,639
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Cumulative views and downloads
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Total article views: 3,821 (including HTML, PDF, and XML)
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Total article views: 2,639 (including HTML, PDF, and XML)
Thereof 2,639 with geography defined
and 0 with unknown origin.
Total article views: 1,182 (including HTML, PDF, and XML)
Thereof 1,162 with geography defined
and 20 with unknown origin.
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Cited
14 citations as recorded by crossref.
- Warm and wet spring compensated for the reduction in carbon sinks due to an extreme summer heatwave-drought event in 2022 in southern China Y. Zhang et al. https://doi.org/10.1016/j.agrformet.2026.111060
- Interactions among smoke, radiation, and meteorology in the Canadian wildfires M. Zhang et al. https://doi.org/10.1177/03091333261461190
- Modeling ozone impacts on china’s terrestrial carbon and water processes using CLM5.0 with two damage schemes X. Lin et al. https://doi.org/10.1088/2515-7620/ae7f82
- Quantifying the multi-year impacts of Indo-China Peninsula biomass burning on vegetation gross primary productivity in southern China W. Yan et al. https://doi.org/10.1016/j.ecoenv.2025.119570
- State-of-the-art vegetation models overestimate gross primary productivity responses to drought Y. Zheng et al. https://doi.org/10.1016/j.aosl.2026.100777
- Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
- Advances in the interactions between atmospheric environment and terrestrial ecosystems X. Zhou et al. https://doi.org/10.1360/CSB-2026-0379
- Mitigation of ozone vegetation damage in China through sector-based emission control towards carbon neutrality Z. Ye et al. https://doi.org/10.1016/j.envres.2026.123946
- Recovery of ecosystem productivity in China due to the Clean Air Action plan H. Zhou et al. https://doi.org/10.1038/s41561-024-01586-z
- Contrasting Responses of Smoke Dispersion and Fire Emissions to Aerosol-Radiation Interaction during the Largest Australian Wildfires in 2019–2020 D. Wu et al. https://doi.org/10.1021/acs.est.4c12034
- Global Carbon Budget 2025 P. Friedlingstein et al. https://doi.org/10.5194/essd-18-3211-2026
- Local biophysical climate feedback from vegetation responses to lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41612-025-01310-7
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al. https://doi.org/10.1016/j.atmosenv.2025.121621
- Development and evaluation of the ECHAM6-iMAPLE v1.0 coupled atmosphere–ecosystem model W. Fu et al. https://doi.org/10.5194/gmd-19-9395-2026
14 citations as recorded by crossref.
- Warm and wet spring compensated for the reduction in carbon sinks due to an extreme summer heatwave-drought event in 2022 in southern China Y. Zhang et al. https://doi.org/10.1016/j.agrformet.2026.111060
- Interactions among smoke, radiation, and meteorology in the Canadian wildfires M. Zhang et al. https://doi.org/10.1177/03091333261461190
- Modeling ozone impacts on china’s terrestrial carbon and water processes using CLM5.0 with two damage schemes X. Lin et al. https://doi.org/10.1088/2515-7620/ae7f82
- Quantifying the multi-year impacts of Indo-China Peninsula biomass burning on vegetation gross primary productivity in southern China W. Yan et al. https://doi.org/10.1016/j.ecoenv.2025.119570
- State-of-the-art vegetation models overestimate gross primary productivity responses to drought Y. Zheng et al. https://doi.org/10.1016/j.aosl.2026.100777
- Global Carbon Budget 2024 P. Friedlingstein et al. https://doi.org/10.5194/essd-17-965-2025
- Advances in the interactions between atmospheric environment and terrestrial ecosystems X. Zhou et al. https://doi.org/10.1360/CSB-2026-0379
- Mitigation of ozone vegetation damage in China through sector-based emission control towards carbon neutrality Z. Ye et al. https://doi.org/10.1016/j.envres.2026.123946
- Recovery of ecosystem productivity in China due to the Clean Air Action plan H. Zhou et al. https://doi.org/10.1038/s41561-024-01586-z
- Contrasting Responses of Smoke Dispersion and Fire Emissions to Aerosol-Radiation Interaction during the Largest Australian Wildfires in 2019–2020 D. Wu et al. https://doi.org/10.1021/acs.est.4c12034
- Global Carbon Budget 2025 P. Friedlingstein et al. https://doi.org/10.5194/essd-18-3211-2026
- Local biophysical climate feedback from vegetation responses to lower aerosol pollution J. Ge et al. https://doi.org/10.1038/s41612-025-01310-7
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al. https://doi.org/10.1016/j.atmosenv.2025.121621
- Development and evaluation of the ECHAM6-iMAPLE v1.0 coupled atmosphere–ecosystem model W. Fu et al. https://doi.org/10.5194/gmd-19-9395-2026
Saved (final revised paper)
Latest update: 12 Nov 2026
Short summary
We develop the interactive Model for Air Pollution and Land Ecosystems (iMAPLE). The model considers the full coupling between carbon and water cycles, dynamic fire emissions, wetland methane emissions, biogenic volatile organic compound emissions, and trait-based ozone vegetation damage. Evaluations show that iMAPLE is a useful tool for the study of the interactions among climate, chemistry, and ecosystems.
We develop the interactive Model for Air Pollution and Land Ecosystems (iMAPLE). The model...
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