Spectrum Analysis of Gravity Waves Based on Sensors Mounted on a New Round-Trip Airborne Flat-Floating Sounding System
Spectrum Analysis of Gravity Waves Based on Sensors Mounted on a New Round-Trip Airborne Flat-Floating Sounding System
复制标题
基于安装在新型往返机载平浮探测系统上的传感器的重力波频谱分析
DOI：
10.3390/s20072123
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Zhang J et al
中科院分区：
文献类型：
--
作者：
He Y;Sheng Z;Zhang J et al
本研究利用安装在新型往返机载平浮探空系统（RTAFSS）上的传感器来获取“上升、平浮、下降”三个阶段的观测数据。这种新的测深方法具有良好的应用前景。对归一化温度波动进行谱分析，得到了上升阶段和下降阶段的垂直波数谱以及平浮阶段的水平波数谱。这是首次获得上升、平浮、下降三个连续阶段的完整重力波谱特征。结果表明，RTAFSS可以很好地获得三个阶段的重力波谱。对于水平波数谱，谱斜率基本在-2左右，水平波数谱谱结构的差异可能是由于间歇性湍流活动和引力波传播过程中强度的变化造成的。本研究旨在利用这种新型观测数据对重力波的频谱特征进行实验探索。有望揭示我国平流层区域水平波数谱特征，为RTAFSS进一步网络观测后在更广时空范围内的谱分析提供理论依据。
In this study, sensors mounted on a new type of round-trip airborne flat-floating sounding system (RTAFSS) were used to obtain the observation data of the three stages of "rising, flat-floating and falling". This new sounding method has a good application prospect. We performed spectrum analysis on the normalized temperature fluctuation, and the vertical wavenumber spectrum from the rising and falling stages and the horizontal wavenumber spectrum from the flat-floating stage were obtained. This is the first time the complete gravity wave spectrum characteristics were obtained from three consecutive stages: rising, flat-floating and falling. The results show that the gravity wave spectrum of the three stages can be well obtained by RTAFSS. For the horizontal wavenumber spectrum, the spectral slope is basically around −2, and the difference in the spectral structure of the horizontal wave number spectrum may be due to the intermittent turbulent activity and the variable intensity of the gravitational wave during its propagation. This study aims to make experimental exploration of the spectrum characteristics of gravity waves by this new type of observation data. It is expected to reveal the spectrum characteristics of horizontal wavenumber in the stratosphere region of China, providing a theoretical basis for spectrum analysis in a wider space–time range after further network observation of RTAFSS.