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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Total article views: 3,392 (including HTML, PDF, and XML)
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2,524
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3,392
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Supplement: 269
BibTeX: 109
EndNote: 180
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1,331
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Total article views: 5,061 (including HTML, PDF, and XML)
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Total article views: 3,392 (including HTML, PDF, and XML)
Thereof 3,157 with geography defined
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Total article views: 1,669 (including HTML, PDF, and XML)
Thereof 1,505 with geography defined
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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...
