基于双高斯拟合的风廓线雷达在降水条件下的风场反演

风廓线雷达在降水天气下探测到的返回信号主要包括大气湍流信号和降水粒子信号,其功率谱数据在结构上通常表现为双峰结构,并且在一定程度上可以看成是双高斯形式的。本文利用北京延庆CFL-08型边界层风廓线雷达在降水条件下获得的探测数据,采用双高斯拟合的方式将湍流谱和降水谱分离开,并通过分离之后的湍流谱对不同强度的降水过程进行了垂直速度场和水平风场的反演。反演结果表明,利用双高斯拟合可以有效地将湍流谱和降水谱区分开,反演得到的垂直速度场、水平风场较处理之前更加精确。

Study of Wind Filed Inversion from Wind- Profiling Radar Based on Double-Gaussian Fitting under the Conditions of Precipitation

The return signal includes the signal of atmospheric turbulence and the precipitation particle signal when wind profiler radar is detecting precipitation, its power spectrum data usually presents a bimodal structure on the structure, and to some extent, can be seen as a double Gaussian form . In this paper, the probe data is from Beijing Yanqing CFL-08 boundary layer wind profiler radar ,using double Gaussian fitting can separate the turbulence spectrum and the spectrum of precipitation successfully. Then invert vertical velocity and horizontal wind field by the turbulent spectrum which is Separated in different intensity of precipitation .The inversion results show that the double Gaussian fitting can distinguish the turbulence spectrum and the precipitation spectrum effectively, vertical velocity and he horizontal wind field are more accurate than before.