量子电子学报

• 激光应用 • 上一篇    下一篇

利用光束抖动反演横向风速垂直分布的研究

董 婷1,2,吴 毅1,侯再红1,靖 旭1,谭逢富1,何 枫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,安徽 合肥 230031; 2中国科学院大学,北京 100049
  • 出版日期:2017-09-28 发布日期:2019-06-13
  • 通讯作者: 吴 毅 (1960-),安徽合肥人,研究员,博士生导师,主要从事激光大气传输、激光大气光学参数测量等研究. E-mail:wuyi@aiofm.ac.cn
  • 作者简介:董 婷 (1990-),女,山东菏泽人,研究生,主要从事激光大气探测研究.E-mail:heze1991@163.com
  • 基金资助:
    Supported by National Natural Science Foundation of China(国家自然科学基金,41405014)

Inversion of vertical distribution of transverse wind speed by using beam jitter

DONG Ting1,2, WU Yi1, HOU Zaihong1, JING Xu1, TAN Fengfu1, HE Feng1   

  1. 1 Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China
  • Published:2017-09-28 Online:2019-06-13

摘要: 湍流冻结条件下,利用两个位置探测抖动信号的时空交叉相关函数,提出反演横向风速垂直分布的理论模型。该模型的两个参数分别为湍流廓线和相关函数在延迟时间为0处的导数。假定横向风速满足高斯模型,采用遗传算法进行数值仿真。通过对两种典型湍流模型进行反演计算,发现反演的风廓线和理论风廓线一致性好,相对误差不超过3.3 %和1.6 %。改变湍流廓线的特征高度并进行反演计算,结果表明湍流强度存在较大误差时,该模型仍可用于低层横向风速垂直分布的反演。

关键词: 大气光学, 横向风速, 反演, 数值仿真

Abstract: Under the condition of turbulent freezing, the theory model of inversing the vertical distribution of transverse wind speed is proposed by using space-time cross correlation function of two position detection jitter signal. Two parameters of this model are turbulence profile and the derivation of cross correlation function at the delay time ofzero. Supposing transverse wind speed is accord with Gauss model, numerical simulation is carried out with genetic algorithm. Through the inversion calculation of two typical turbulence models, It’s found that the inversion wind profiles are coincide with the theoretical wind profiles, and the relative error is not more than 3.3 % and 1.6 %, respectively. The characteristic height of the turbulent profile is changed and the inversion calculation is carried out. Results show that When there is a large error in the turbulence intensity, the model can still be applied to inverse the transverse wind speed vertical distribution in the lower layer.

Key words: atmospheric optics, transverse wind speed, inversion, numerical simulation