Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-203-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-20-203-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China
School of Atmospheric Sciences, Nanjing University, Nanjing, China
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Department of Geography and Planning, University of Toronto, Toronto, Canada
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Tijian Wang
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Huiling Yuan
School of Atmospheric Sciences, Nanjing University, Nanjing, China
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- Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong–Hong Kong–Macao Greater Bay Area and the Contribution of Influencing Factors X. Tan et al. 10.3390/rs14225796
Latest update: 14 Dec 2024
Short summary
We statistically assessed the impacts of local and synoptic meteorology on daily surface ozone in eastern China in summer during 2013–2018. The results show that the meteorology described by a multiple linear regression model explains 43 % of variations in surface ozone. The most important local meteorological factors vary with location in eastern China. The maximum impact of the predominant synoptic pattern on surface ozone can reach ± 8 µg m-3 or ± 16 % of the daily mean over some regions.
We statistically assessed the impacts of local and synoptic meteorology on daily surface ozone...
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