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  • ISSN 1000-694X
  • 双月刊 创刊于1981年
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天气与气候

塔克拉玛干沙漠腹地湍流能量耗散率和结构函数参数特征

  • 温雅婷 ,
  • 何宏让 ,
  • 王春明 ,
  • 王丽琼 ,
  • 焦冰
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  • 1. 中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002;
    2. 解放军理工大学, 江苏 南京 211101
温雅婷(1981-),女,山西晋中人,硕士,讲师,主要从事大气边界层研究。Email:wenyating9908@163.com

收稿日期: 2013-05-15

  修回日期: 2013-08-26

  网络出版日期: 2014-07-20

基金资助

中国沙漠气象科学研究基金项目(sqj2011004)资助

Characteristics of Turbulence Energy Dissipation Rates and Structure Function Parameters in the Hinterland of the Taklimakan Desert

  • Wen Yating ,
  • He Hongrang ,
  • Wang Chunming ,
  • Wang Liqiong ,
  • Jiao Bing
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  • 1. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;
    2. PLA University of Science and Technology, Nanjing 211101, China

Received date: 2013-05-15

  Revised date: 2013-08-26

  Online published: 2014-07-20

摘要

利用塔中气象站垂直探测系统的湍流观测资料,计算并分析了塔克拉玛干沙漠腹地不同稳定层结条件的湍涡特征长度尺度、能量耗散率及湍流结构函数参数特征。结果表明:湍涡特征长度尺度在弱不稳定或近中性条件时最大,随不稳定程度的增强有明显减小的趋势,随着稳定程度的增加有先迅速减小后又缓慢增加的趋势,且热量特征长度尺度比动量特征长度尺度总体要大一个数量级;无因次湍流热量耗散率的拟合函数形式与其他试验一致,但经验系数略有差异;利用Kaimal公式和湍流谱方法间接计算的稳定条件湍流能量耗散率及湍流结构函数参数具有较好的一致性。

本文引用格式

温雅婷 , 何宏让 , 王春明 , 王丽琼 , 焦冰 . 塔克拉玛干沙漠腹地湍流能量耗散率和结构函数参数特征[J]. 中国沙漠, 2014 , 34(4) : 1094 -1101 . DOI: 10.7522/j.issn.1000-694X.2013.00410

Abstract

The turbulent data obtained from 80 meters grads sounding system at Tazhong meteorological station were used to calculate and analyze the characteristics of turbulence length scales for momentum and heat, turbulence energy dissipation rate and turbulence structure function parameter in the hinterland of the Taklimakan Desert. The results indicate that the values of turbulence characteristic length scales are the maximum in weakly unstable or near neutral air, decrease obviously with the increase of the unstable degree, increase rapidly first and then decrease slowly with the increase of stable degree. The characteristic length scale of heat is an order larger than that of momentum on the whole. The fitting functions forms of dimensionless heat dissipation rate are consistent with other experiments, just a little difference in experience coefficients. The agreements of the turbulence energy dissipation rates and turbulence structure function parameters calculated indirectly from the turbulence spectral method and directly from the Kaimal method are quite good.

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