基于线性规划方法处理C波段双线偏振多普勒天气雷达差分相位φ_C数据  

Processing differential phase data from C-band dual-polarimetric Doppler weather radar on the basis of the linear programming

作　　者：周聪 闵锦忠[1,2] 戚友存 庄潇然 ZHOU Cong;MIN Jinzhong;QI Youcun;ZHUANG Xiaoran(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science&Technology,Nanjing 210044,China;Key Laboratory of Meterological Disaster,Ministry of Education,Nanjing University of Information Science&Technology,Nanjing 210044,China;Institute of Geographic Science and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)

机构地区：[1]南京信息工程大学气象灾害预报预警与评估协同创新中心,南京210044 [2]南京信息工程大学气象灾害教育部重点实验室,南京210044 [3]中国科学院地理科学与资源研究所,北京100101

出　　处：《气象科学》2019年第5期617-625,共9页Journal of the Meteorological Sciences

基　　金：国家重点研究发展计划项目(2013CB430102);国家自然科学基金重点资助项目(41430427);江苏省高校自然科学重大基础研究资助项目(11KJA170001)

摘　　要：高质量的差分相位数据能够有效地提高雷达识别粒子、估测降水的能力。本研究针对南京信息工程大学C波段双线偏振多普勒天气雷达(NUIST-CDP),提出一套差分相位φC数据的质量控制算法。其中将雷达观测到的差分相位φC分为5个部分:差分传播相位φDP、后向散射差分相位δ、非降水回波的波动εNP、系统误差εS以及电磁波信号的随机扰动εR。在线性规划方法的基础上,采用模糊逻辑法、小波分析法与迭代滤波法分别将差分相位φC数据中的εNP、εR和δ剔除,然后依据滤波后的数据,将各径向中第一个降水回波的值作为该径向的系统误差εS。结果表明,该算法能够有效地平滑由非降水回波引起的大振幅波动以及因电磁波信号造成的小振幅扰动,且可以剔除差分相位φC数据中存在的δ。此外,处理后的数据满足随径向距离递增的条件。High-quality differential phase data can improve the ability of radar to identify particles and estimate precipitation effectively.In this study,for C-band dual-polarimetric Doppler weather radar located in Nanjing University of Information Science&Technology(NUIST-CDP),a set of algorithm is presented to control the data quality of the differential phase φC.This algorithm divides the differential phase φC data observed by radar into five parts:differential propagation phase φDP、differential backscattering phase δ、non-precipitation echoes fluctuations εNP、system errorsεS and random perturbations of electromagnetic wave signals εR.On the basis of the Linear Programming,the Fuzzy Logic、the Wavelet Analysis and the Iterative Filtering Technique are employed to removeεNP,εR andδfrom the differential phase φC data respectively.Then,according to the filtered data,the value of the first precipitation echo in each radial is taken as the system errorsεR in this radial.The results show that such algorithm can smooth large amplitude fluctuations caused by non-precipitation echoes and small amplitude perturbations caused by electromagnetic wave signals effectively,and can remove δ from the differential phase φC data.In addition,the processed data are compatible to conditions involving increasing radial distance.

关 键 词：C波段双线偏振多普勒天气雷达 差分相位 质量控制 

分 类 号：P412.25[天文地球—大气科学及气象学]