大气与环境光学学报 ›› 2013, Vol. 8 ›› Issue (2): 107-113.

• 大气光学 • 上一篇    下一篇

一次冰雹期间郊区下垫面大气湍流统计特征分析

向文杰1,2, 吴晓庆1*   

  1. (1 中国科学院安徽光学精密机械研究所中国科学院大气成分与光学重点实验室,合肥230031; 
    2 中国科学院大学,北京100039)
  • 发布日期:2013-03-07
  • 通讯作者: 向文杰(1986-),男,四川资中人,研究生,主要研究方向为大气光学湍流测量与数据处理。 E-mail:xiangwj@mail.ustc.edu.cn
  • 作者简介:向文杰(1986-),男,四川资中人,硕士研究生,主要研究方向大气光学湍流测量与数据处理。
  • 基金资助:

    科技部科技基础性工作专项课题(073D2g1391)资助

Analysis of Statistical Characteristics of Atmospheric Turbulence Spectra over Urban Surface in a Hailstorm

XIANG Wen-jie1,2, WU Xiao-qing1*   

  1. (1 Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 220031, China; 
    2 University of Chinese Academy of Sciences, Beijing 100039, China)
  • Online:2013-03-07

摘要:

利用2012年2月28日至3月1日在合肥市郊的35 m气象塔上测量得到的湍流观测数据,对不同稳定度条件下的湍流谱、局地各向同性和风速归一化标准差进行了分析。实验期间有短暂的冰雹过程。结果表明,惯性子区对应于无因次频率为0.02~2的范围,惯性子区的大小和局地各向同性均与稳定度有关;稳定度越高,惯性子区越小;稳定度越低,惯性子区越大;在稳定和不稳定条件下, sw/u*随稳定度的变化基本上满足1/3次方定律,在近中性层结条件下, sw/u*=1.12;冰雹发生前后,风速,动量通量和感热通量出现剧烈变化,表明在冰雹发生前后的短时间内,出现了强对流天气过程。

关键词: 湍流谱, 局地各向同性, 归一化标准差, 湍流通量

Abstract:

The turbulent data obtained at the Hefei 35 m meteorological tower from 28, Feb, 2012 to 1, March, 2012 have been analyzed. Turbulence spectra, local isotropy and normalized standard deviation of velocity are analyzed with the stability. A hail process happened during the experiment. Results show that inertial sub-range is corresponding to dimensionless frequency which ranges from 0.02 to 2; the inertial sub-range and the turbulent spectral isotropy vary with stable condition; that the inertial sub-range is smaller under stable condition than under unstable condition; the normalized standard deviation of vertical velocity obeys the well-known 1/3 law under stable and unstable condition, and the value of the dimensionless variance of vertical velocity is 1.12 near neutral condition; wind speed, momentum flux and heat flux changed dramatically before and after the hail; and strong convection occurred during this process.

Key words: turbulence spectra, local isotropy, normalized standard deviation, turbulence flux

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