Low-level temperature inversions and their effect on aerosol condensation nuclei concentrations under different large-scale synoptic circulations

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• 作者：Jun Li ; Hongbin Chen ; Zhanqing Li ; Pucai Wang…
• 关键词：temperature inversion ; aerosol ; condensation nuclei ; large ; scale synoptic pattern ; statistical characteristics
• 刊名：Advances in Atmospheric Sciences
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：32
• 期：7
• 页码：898-908
• 全文大小：1,612 KB
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• 作者单位：Jun Li (1) (2)
  Hongbin Chen (1) (2)
  Zhanqing Li (3) (4)
  Pucai Wang (1)
  Maureen Cribb (3)
  Xuehua Fan (1) (2)
  
  1. Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China
  3. The Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
  4. College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
  
• 刊物主题：Atmospheric Sciences; Meteorology; Geophysics/Geodesy;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9533

文摘

Knowledge of the statistical characteristics of inversions and their effects on aerosols under different large-scale synoptic circulations is important for studying and modeling the diffusion of pollutants in the boundary layer. Based on results generated using the self-organizing map (SOM) weather classification method, this study compares the statistical characteristics of surface-based inversions (SBIs) and elevated inversions (EIs), and quantitatively evaluates the effect of SBIs on aerosol condensation nuclei (CN) concentrations and the relationship between temperature gradients and aerosols for six prevailing synoptic patterns over the the Southern Great Plains (SGP) site during 2001-0. Large-scale synoptic patterns strongly influence the statistical characteristics of inversions and the accumulation of aerosols in the low-level atmosphere. The activity, frequency, intensity, and vertical distribution of inversions are significantly different among these synoptic patterns. The vertical distribution of inversions varies diurnally and is significantly different among the different synoptic patterns. Anticyclonic patterns affect the accumulation of aerosols near the ground more strongly than cyclonic patterns. Mean aerosol CN concentrations increase during SBIs compared to no inversion cases by 16.1%, 22.6%, 24.5%, 58.7%, 29.8% and 23.7% for the six synoptic patterns. This study confirms that there is a positive correlation between temperature gradients and aerosol CN concentrations near the ground at night under similar large-scale synoptic patterns. The relationship is different for different synoptic patterns and can be described by linear functions. These findings suggest that large-scale synoptic patterns change the static stability of the atmosphere and inversions in the lower atmosphere, thereby influencing the diffusion of aerosols near the ground.