He Yang, Sheng Zheng, He Mingyuan
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China.
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210094, China.
Sensors (Basel). 2020 Jan 26;20(3):677. doi: 10.3390/s20030677.
Based on a new type of sensor mounted on a near-space balloon released in Hami, Xinjiang, the Thorpe method was used to analyze turbulence. The method was applied for the first time to northwest China (the mid-latitude region), and almost no radiosonde data above 40 km have been used to study turbulence hitherto. The feasibility of analyzing turbulence characteristics using radiosonde data based on the Beidou positioning system by the Thorpe method was thus verified. The distribution characteristics of turbulence scale, turbulence intensity, and turbulence kinetic energy dissipation rate, and the turbulence diffusion coefficient, were analyzed and discussed. The relationship between turbulence fraction, turbulence intensity, and stratified instability was also investigated. The results show that over 35 km, the influence of instrument noise on turbulence detection is significantly enhanced, which lead to an overestimation of turbulence in that region. The turbulence fraction was defined to reflect the degree of turbulence internal mixing, which is closely related to atmospheric instability. It was found that when the turbulence fraction reached 60%-80%, the turbulence reached its strongest intensity, and when the turbulence fraction exceeded 80%, the turbulence could not be maintained and began to decay.
基于安装在新疆哈密释放的临近空间气球上的新型传感器，采用索普方法分析湍流。该方法首次应用于中国西北（中纬度地区），此前几乎没有使用过40公里以上的探空仪数据来研究湍流。由此验证了利用基于北斗定位系统的探空仪数据通过索普方法分析湍流特性的可行性。分析并讨论了湍流尺度、湍流强度、湍流动能耗散率以及湍流扩散系数的分布特征。还研究了湍流分数、湍流强度与分层不稳定之间的关系。结果表明，在35公里以上，仪器噪声对湍流检测的影响显著增强，导致该区域湍流的高估。定义了湍流分数以反映湍流内部混合程度，其与大气不稳定密切相关。发现当湍流分数达到60%-80%时，湍流强度最强，当湍流分数超过80%时，湍流无法维持并开始衰减。
