CAJ | 학술논문

根据中国气象科学研究院灾害天气国家重点实验室的车载C波段双线偏振多普勒雷达外场观测资料,利用Daubechies小波对雷达观测的差分传播相移ΦDP进行滤波处理,并与滑动平均和中值滤波这两种常规处理方法的滤波效果进行对比分析。结果表明,Daubechies小波方法不仅同两种常规处理方法一样能有效剔除差分传播相移ΦDP存在的各种脉动与毛刺,使ΦDP数据具有更好的连续性和平滑度,还能有效地保留非气象回波信息,方便对其进行地物识别等后续处理;此外,其对弱信号的滤波效果也有显著提高,滤波后的ΦDP及其估算的差分传播相移率KDP与反射率因子ZH均有较好的对应关系。
근거중국기상과학연구원재해천기국가중점실험실적차재C파단쌍선편진다보륵뢰체외장관측자료,이용Daubechies소파대뢰체관측적차분전파상이ΦDP진행려파처리,병여활동평균화중치려파저량충상규처리방법적려파효과진행대비분석。결과표명,Daubechies소파방법불부동량충상규처리방법일양능유효척제차분전파상이ΦDP존재적각충맥동여모자,사ΦDP수거구유경호적련속성화평활도,환능유효지보류비기상회파신식,방편대기진행지물식별등후속처리;차외,기대약신호적려파효과야유현저제고,려파후적ΦDP급기고산적차분전파상이솔KDP여반사솔인자ZH균유교호적대응관계。
In this paper, the wavelet analysis method for filtering application of differential propagation phase shift for dual-linear polariza- tion radar has been discussed preliminarily. Based on the observation in field experiments by a C-band Polarimetric Doppler Radar on Wheel (CPDRW) which was built in the State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences (CAMS), Daubechies wavelet is used to filter the differential propagation phase shift ФDP, and comparative analysis with the effect of moving average and median filtering, the two conventional processing methods in the filtering effect, arc performed. The results show that this method can eliminate the pulsation and burr existing in the differential propagation phase shift ФDPeffectively and has more obvious fihering effect than the other two conventional methods. Not only has ФDP data better continuity and smoothness, but also retains effectively the non-meteorologi- cal echo information to facilitate the subsequent processing such as ground clutter identification. In addition, it has also significantly improved the weak signal filtering effect. Both filtered ФDP and its estimations of specific differential propagation phase shift KDp correspond better with the reflectivitv Z. and differential reflectivitv ZDR.