Articles | Volume 21, issue 8
https://doi.org/10.5194/acp-21-5847-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-5847-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Apr 2021
Research article |
| 19 Apr 2021
| 19 Apr 2021
Ozone variability induced by synoptic weather patterns in warm seasons of 2014–2018 over the Yangtze River Delta region, China
Da Gao
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
College of Geographic Sciences, Fujian Normal University, Fuzhou
350007, China
Department of Geography and Planning, University of Toronto, Toronto, M5S 3G3, Canada
Tijian Wang
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
Chaoqun Ma
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
now at:
Minerva Research Group, Max Planck Institute for Chemistry, Mainz, Germany
Haokun Bai
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
Xing Chen
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
Mengmeng Li
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
Bingliang Zhuang
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
Shu Li
School of Atmospheric Sciences, Joint Center for Atmospheric Radar
Research of CMA/NJU, CMA-NJU Joint Laboratory for Climate Prediction
Studies, Jiangsu Collaborative Innovation Center for Climate Change, Nanjing
University, Nanjing 210023, China
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Zhixiong Chen, Jane Liu, Xugeng Cheng, Mengmiao Yang, and Hong Wang
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Atmos. Chem. Phys., 21, 15135–15152, https://doi.org/10.5194/acp-21-15135-2021, https://doi.org/10.5194/acp-21-15135-2021, 2021
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We establish the nonlinear responses between nitrate and NOx in China. Reduction of NOx results in linearly lower nitrate in summer–autumn whereas an increase of winter nitrate until an inflexion point at 40–50 % reduction due to the excess oxidants. NH3 and VOCs are effective in controlling nitrate pollution, whereas decreasing the SO2 and NOx emissions may have counterintuitive effects on nitrate aerosols. This paper helps understand the nonlinear aerosol and photochemistry feedback.
Yawei Qu, Apostolos Voulgarakis, Tijian Wang, Matthew Kasoar, Chris Wells, Cheng Yuan, Sunil Varma, and Laura Mansfield
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The meteorological effect of aerosols on tropospheric ozone is investigated using global atmospheric modelling. We found that aerosol-induced meteorological effects act to reduce modelled ozone concentrations over China, which brings the simulation closer to observed levels. Our work sheds light on understudied processes affecting the levels of tropospheric gaseous pollutants and provides a basis for evaluating such processes using a combination of observations and model sensitivity experiments.
Paul T. Griffiths, Lee T. Murray, Guang Zeng, Youngsub Matthew Shin, N. Luke Abraham, Alexander T. Archibald, Makoto Deushi, Louisa K. Emmons, Ian E. Galbally, Birgit Hassler, Larry W. Horowitz, James Keeble, Jane Liu, Omid Moeini, Vaishali Naik, Fiona M. O'Connor, Naga Oshima, David Tarasick, Simone Tilmes, Steven T. Turnock, Oliver Wild, Paul J. Young, and Prodromos Zanis
Atmos. Chem. Phys., 21, 4187–4218, https://doi.org/10.5194/acp-21-4187-2021, https://doi.org/10.5194/acp-21-4187-2021, 2021
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We analyse the CMIP6 Historical and future simulations for tropospheric ozone, a species which is important for many aspects of atmospheric chemistry. We show that the current generation of models agrees well with observations, being particularly successful in capturing trends in surface ozone and its vertical distribution in the troposphere. We analyse the factors that control ozone and show that they evolve over the period of the CMIP6 experiments.
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Short summary
O3 has been increasing in recent years over the Yangtze River Delta region of China and is closely associated with dominant weather systems. Still, the study on the impact of changes in synoptic weather patterns (SWPs) on O3 variation is quite limited. This work aims to reveal the unique features of changes in each SWP under O3 variation and quantifies the effects of meteorological conditions on O3 variation. Our findings could be helpful in strategy planning for O3 pollution control.
O3 has been increasing in recent years over the Yangtze River Delta region of China and is...
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