Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-3097-2017
https://doi.org/10.5194/acp-17-3097-2017
Research article
 | 
28 Feb 2017
Research article |  | 28 Feb 2017

Classification of summertime synoptic patterns in Beijing and their associations with boundary layer structure affecting aerosol pollution

Yucong Miao, Jianping Guo, Shuhua Liu, Huan Liu, Zhanqing Li, Wanchun Zhang, and Panmao Zhai

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Cited articles

Abdi, H. and Williams, L. J.: Principal component analysis, Wiley Interdiscip. Rev. Comput. Stat., 2, 433–459, https://doi.org/10.1002/wics.101, 2010.
Bernaards, C. A. and Jennrich, R. I.: Gradient projection algorithms and software for arbitrary rotation criteria in factor analysis, Educ. Psychol. Meas., 65, 676–696, https://doi.org/10.1177/0013164404272507, 2005.
Chan, C. K. and Yao, X.: Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, https://doi.org/10.1016/j.atmosenv.2007.09.003, 2008.
Chen, F. and Dudhia, J.: Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System, Part I: Model Implementation and Sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0587:CAALSH>2.0.CO;2, 2001.
Chen, Y., Zhao, C., Zhang, Q., Deng, Z., Huang, M., and Ma, X.: Aircraft study of mountain chimney effect of Beijing, China, J. Geophys. Res.-Atmos., 114, 1–10, https://doi.org/10.1029/2008JD010610, 2009.
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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.
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