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基于瑞利多普勒激光雷达数据的重力波测量与分析 预览

Gravity waves measurement and analysis based on a Rayleigh Doppler lidar
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摘要 对于平流层的高空间分辨率的重力波连续测量和研究非常稀少。近几年中国科学技术大学的瑞利多普勒激光雷达观测了大量的重力波事件,这得益于激光雷达系统在重力波研究中的优越特性。文中对激光雷达系统作出了一个简单的介绍,并且展示了位于中国酒泉(39.741°N,98.495°E),垂直高度范围在15~60km,自2015年10月7日起持续了两个月的重力波夜间观测结果。在对一些重力波事件分析过程中,对中尺度的水平风速进行了二维波谱分析之后,发现重力波波动非常明显,这些波动的波长范围主要集中在3~6km,而周期大约为10h。这些观测结果都肯定了瑞利多普勒激光雷达在重力波观测应用方面的优势。 Simultaneous wind measurements in stratosphere with high-spatial resolution for gravity waves study are scare.In recent years,lots of gravity waves cases were observed by mobile Rayleigh Doppler lidar of University of Science and Technology of China benefiting from the system with excellent performance.In this paper,a brief introduction of the Rayleigh Dopplar lidar system was made.The wind field gravity waves cases in the altitude region 15-60 km were also performed,which were carried out for 2 months started from October 7th,2015 in Jiuquan(39.741°N,98.495°E),China.After the 2-D fast Fourier transform of those mesoscale fluctuations of the horizontal wind velocity,the two dimensional spectra analysis and band-pass filter results of these fluctuations exhibited the presence of dominant oscillatory modes with wavelength of 4-15 km and period of around 10 hours in several cases.The observed cases demonstrate the Rayleigh Doppler lidar′s capacity in measuring and studying gravity waves.
作者 陈冲 孙东松(导师) 陈廷娣 韩於利 赵若灿 周安然 王国成 唐磊 Chen Chong;Sun Dongsong;Chen Tingdi;Han Yuli;Zhao Ruocan;Zhou Anran;Wang Guocheng;Tang Lei(School of Earth and Space Science,University of Science and Technology of China,Hefei 230026,China;New Star Institute of Applied Technology,Hefei 230031,China;Hefei Normal University,Hefei 230601,China)
出处 《红外与激光工程》 CSCD 北大核心 2018年第9期84-88,共5页 Infrared and Laser Engineering
基金 国家自然科学基金(41774193)。
关键词 瑞利多普勒雷达 风场测量 重力波 风速扰动分析 Rayleigh Doppler lidar wind measurements gravity waves wind perturbation analysis
作者简介 陈冲(1994-),男,硕士生,主要从事测风激光雷达及光电探测方面的研究。Email:cchan@mail.ustc.edu.cn;导师:孙东松(1962-),男,教授,博士生导师,主要从事光电探测、激光雷达遥感等方面的研究。Email:sds@ustc.edu.cn。
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