Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-3097-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-3097-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Classification of summertime synoptic patterns in Beijing and their associations with boundary layer structure affecting aerosol pollution
Yucong Miao
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Shuhua Liu
Department of Atmospheric and Oceanic
Sciences, Peking University, Beijing 100871, China
Huan Liu
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
State Key
Laboratory of Earth Surface Processes and Resource Ecology & College of
Global Change and Earth System Science, Beijing Normal University, Beijing
100875, China
Dept. of Atmospheric & Oceanic Sciences and
ESSIC, University of Maryland, College Park, MD 20740, USA
Wanchun Zhang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Panmao Zhai
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
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Latest update: 20 Nov 2024
Short summary
Three synoptic patterns associated with heavy aerosol pollution in Beijing were identified using an objective classification approach. Relationships between synoptic patterns, aerosol pollution, and boundary layer height in Beijing during summer were revealed as well. Further, factors/mechanisms leading to the low BLHs in Beijing were unraveled. The key findings have implications for understanding the crucial roles that meteorological factors play in forecasting aerosol pollution in Beijing.
Three synoptic patterns associated with heavy aerosol pollution in Beijing were identified using...
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