主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2013, Vol. 29 ›› Issue (5): 92-97.doi:

• 论 文 • 上一篇    下一篇

PLAM指数跟踪方法对中国沙尘天气过程及其波动变化特征的研究

王继志  杨元琴  王亚强  张光智   

  1. 中国气象科学研究院大气成分研究所,北京 100081
  • 出版日期:2013-10-31 发布日期:2013-10-31

Sand dust weather and its variation in China based on PLAM index tracking method

WANG Ji-zhi YANG Yuan-qin WANG Ya-qiang ZHANG Guang-zh   

  1. Atmospheric Composition Observing & Service Center, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • Online:2013-10-31 Published:2013-10-31

摘要: 采用1980—2011年气象台站地面气象要素观测资料、高空探空资料,时间和空间加密气象观测站资料,以及中国气象档案馆原始天气图表等资料,基于沙尘气溶胶浓度(PM10)潜势源地贡献函数PSCF(Potential source contribution function)的沙尘系统追踪方法,发展空气质量气象条件PLAM(……)指数对沙尘天气过程的路径跟踪,给出1980—2011年东北亚沙尘天气过程特征分布;采用Spline趋势分析,讨论沙尘天气系统强度的年变化特征。结果表明:基于气溶胶浓度PSCF函数和气象条件PLAM指数追踪得出,中国和东亚地区沙尘天气过程年际强度变化并非单调减弱,具有历史持续性与转折突变性并存的波状变化趋势,出现准10 a的高低频活动特征。

关键词: 沙尘暴, 波状变化趋势, PSCF方法, 空气质量PLAM指数

Abstract: Using the meteorological observational data from automatic weather stations and intensive weather stations, the radiosonde data, the weather charts and so on, the tracking analysis of sand-dust weather was developed by the PLAM (parameters of air quality and meteorology) index based on the sand dust deposited PSCF (potential source contribution function) method. A spline trend analysis method was also used to investigate the strength variability of the SDS systems. The distributions of sand dust weather from 1980 to 2011 in North-East Asia region were presented. The annual variation of sand dust weather process was studied using a spline trend analysis method. The results show that the annual intensity variation of sand dust weather process is not in a monotonously decreasing trend and it has a wave change status with both a historical persistence and abrupt transition. Meanwhile, it has a 10 years high-low oscillation.

Key words: Sand storm, Wave-like trends, PSCF method, Air quality PLAM index