一种抑制降水对风廓线雷达水平风干扰的方法

A Method to Suppress the Precipitation Interference on Horizontal Wind of Wind Profile Radar

降水条件下,风廓线雷达(wind profiler radar,WPR)能够同时接收到大气湍流回波和降水粒子的散射回波,降水信号谱与湍流信号谱叠加在一起。风廓线雷达计算水平风时,若采用叠加在一起的功率谱处理降水条件下的探测数据,必将导致后期水平风的合成严重失真。该文首先对原始功率谱数据进行插值和平滑处理,通过功率谱曲线极大值点的个数判断其是否受到降水影响。对于受到降水影响的功率谱,依据湍流谱和降水谱均趋于对称型的特点,用两种方法分别对不同特征的功率谱曲线进行湍流谱和降水谱的分离处理,继而利用分离出的湍流谱信号反演水平风场。研究选取广东省湛江站风廓线雷达2013年6月及7月两次实测降水过程,分析结果表明:用湍流谱代替原始功率谱反演的风场,一致性较处理前有明显提高,从而证明了该分离方法的可行性。

Wind profile radar （WPR） is a kind of clear air radar, which takes atmospheric turbulence as the main detecting object. In the past few decades, WPR spectral data processing mainly focus on the wind spectrum estimation. In recent years, with the use of WPR data expansion, there are increasingly high demands for WPR data accuracy. However, ground clutter, external noise, flying objects, presence of disturbances such as precipitation and limitations of Fourier Transform often lead multiple peaks overlapping phenome- non, which makes it difficult to judge spectral moments, resulting in large error detection products. Especially in the case of precipitation, wind speed measurement may be even completely wrong. Therefore, the radar power spectrum data need further processing under different weather conditions especially for turbu- lence and precipitation to establish an effective spectral extraction programs and enhance the wind profile accuracy of radar detection. WPR has a large dynamic reception range, so it can receive the echo of scattering of atmosphere turbulence and scattering of precipitation particles simultaneously during precipitation. In this case, spectrum of atmosphere turbulence and spectrum of precipitation are superimposed. It requires uniform wind-field on horizon when calculating the horizontal wind, but the spatial variability of precipitation will bring distorted horizontal wind-field if the superimposed spectrum data. To avoid this problem, the radar power spectrum data are processed with three steps. First, the original radar power spectrum is processed by interpolation and moving average, judging whether it is affected by precipitation according to the number of maximum points. Second, in the case that the radar power spectrum is affected by precipitation, spectrums of atmosphere turbulence and precipitation are separated by two methods in accordance with spectrum of atmosphere turbulence and spectrum of precipitation＇s tending to symmetry. And then the horizontal wind-field is derived utilizing the separated spectrum of atmosphere turbulence. Case analysis shows that the consistency of derived wind-field has significant improvement using the spectrum of atmosphere turbulence instead of the original spectrum.