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,提出了反演横向风速垂直 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。

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 signals. Two parameters of this model are turbulence profile and derivation of cross correlation function at the delay time of zero. Supposing that 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 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 vertical distribution of transverse wind speed in the lower layer.