WANG Haoyu,WU Chong,LIU Liping,et al.Research on Winter Phase Identification based on Northeast Polarized Radar[J].Journal of Chengdu University of Information Technology,2023,38(01):13-22.[doi:10.16836/j.cnki.jcuit.2023.01.003]
基于东北偏振雷达冬季相态识别的研究
- Title:
- Research on Winter Phase Identification based on Northeast Polarized Radar
- 文章编号:
- 2096-1618(2023)01-0013-10
- Keywords:
- dual polarization; winter particle identification; zero-degree layer bright band; fuzzy logic algorithm
- 分类号:
- TN95
- 文献标志码:
- A
- 摘要:
- 双线偏振雷达的水凝物识别是其重要应用之一,目前国内研究多集中于沿海地区夏季强对流的研究,关于冬季粒子识别的研究相对较少。基于模糊逻辑相态识别算法,选用东北首部双偏振S波段业务雷达,对冬季粒子相态识别进行研究,对冬季零度层亮带进行识别,并将识别信息作为输入因子,运用到模糊逻辑识别算法中。算法采用梯形隶属度函数,输入因子有:水平反射率ZH、差分反射率ZDR、差分相移率KDP、共极相关系数ρHV、标准差SD(ZH)、零度层亮带信息MLH。利用2021年2月13日一次雨雪转换天气个例,对方法进行相态识别并验证。结果表明:识别效果与实际观测结果一致,能够较好地反映各粒子相态分布情况; 零度层亮带信息的引入,可以优化冬季粒子识别结果; 冬季零度层亮带分布形态不规则,识别难度较大; 近地面处识别结果有待进一步优化。
- Abstract:
- Hydrometeor identification of dual linear polarization radar is one of its important applications. At present, most domestic researches focus on the study of strong convection in coastal areas in summer, and there are relatively few studies on particle identification in winter. Based on the fuzzy logic phase state recognition algorithm, this paper selects the first dual-polarization S-band operational radar in Northeast China to study the phase state recognition of particles in winter. The research identifies the bright band of the zero-degree layer in winter, and uses the identification information as an input factor to apply it to the fuzzy logic identification algorithm. The algorithm uses a trapezoidal membership function, and the input factors are: horizontalreflectivity ZH,differential reflectivity ZDR, differential phase shift rate KDP,common-pole correlation coefficient ρHV,standard deviation SD(ZH),and MLH(melting layer height). Using a case of rain and snow conversion weather on February 13, 2021, the method is used to identify and verify the phase state. The results show that:the identification effect is consistent with the actual observation results, which can better reflect the phase distribution of each particle; the introduction of the zero-degree layer bright band information can optimize the winter particle identification results; the zero-degree layer brightness in winter The distribution of the belts is irregular, and the identification is difficult; The identification results near the ground need to be further optimized.
参考文献/References:
[1] Straka J M,Zrnic D S.An Algorithm to Deduce Hydrometeor Types and Contents from Multiparameter Radar Data.Pre-prints,26th Int Conference on Radar Meterology[J].Norman,O-klahoma,Amer Meteor Soc,1993:513-516.
[2] Straka J M,Mansell E R.A bulk microphysics parameterization with multiple ice precipitation categories[J].J Appl Meteorol,2005,44:445-466.
[3] Zrnic D S,Ryzhkov A V.Polarimetry for Weather Surveilance Radars[J].Bulletin of the American Meterological Society,1999,80:389-406.
[4] Vivekanandan J,Ellis S M,Oye R,et al.Cloud Microphysics Retriecal Using S-band Dual-Polarization Radar Measurements[J].Bulletin of the American Meteorological Society,1999.80(3):381-388.
[5] Liu H,Chandrasekar V.Classification of Hydrometeors Based on Polarimetric Radar Measurements:Development of Fuzzy Logic and Neuro-Fuzzy Systems,and In situ Verification[J].J Atmos Oceanic Technol,2000,17(2):140-164.
[6] Park H S,Ryzhkov A V,Zrnic D S,et al.The hydrometeor classification algorithm for the polarimetric[J]. WSR-88D:Description and application to an MCX.Wea Forecasting,2009,24(3):730-748.
[7] Dolan B,Rutledge S A.A Theory-Based Hydrometeor Identification Algorithm for X-band Polarimetric Radars[J].J Atmos Oceanic Technol,2009,26(10):2071-2088.
[8] 曹俊武,刘黎平,葛润生.模糊逻辑法在双线偏振雷达识别降水粒子相态中的研究[J].大气科学,2005,29(5):827-836.
[9] 吴杨,赵放,孔照林,等.浙江地区2015年冬季首场降雪的气象特征及双偏振雷达回波特征分析[J].南京信息工程大学学报,2018,10(4):493-499.
[10] 魏玮,刘黎平,吴翀,等.杭州“12.05”降雪天气过程的偏振雷达观测分析[J].气象,2019,45(9):1248-1261.
[11] 雍佳,魏鸣.降雪回波的双偏振雷达云相态垂直特征分析[J].科学技术与工程,2019,19(35):46-53.
[12] 武静雅,毕永恒,孙强,等.结合Ka和X波段双偏振雷达对北京一次锋面降雪过程雪带的观测分析[J].大气科学,2021,45(5):931-942.
[13] 张乐坚,程明虎,陶岚.CINRAD-SA/SB零度层亮带识别方法[J].应用气象学报,2010,21(2):171-179.
[14] 曹杨,陈洪宾,苏德斌.C波段双线偏振天气雷达零度层亮带识别和订正[J].应用气象学报,2018,29(1):84-96.
[15] Wolfensherger D,Scipion D,Berne A.Detection and characterization of the melting layer based on polarimetric radar scans[J].Quarterly Journal of the Royal Meteorological Society,2015,142(S1).
[16] Zhang J,Langston C,Howard K.Bright-band Identification Based on Vertical Profiles of Reflectivity from the WSR-88D[J]. J.Atoms. Oceanic Techn,2008,25(10):1859-1872.
[17] 洪延超,肖辉,李宏宇,等.冰雹云中微物理过程研究[J].大气科学,2002,26(3):421-432.
[18] 魏玮.冬季降水过程的C波段双线偏振雷达资料分析[D].成都:成都信息工程大学,2019.
[19] Hongping Liu,V Chandrasehar.Classification of hudrometer or based on polarimetric radar measurement:Development of fuzzy logic and neuro fuzzy system and in situ verification[J].J Atmos Oceanic Tech,2000,17:140-164.
[20] Lim S,Chandrasekar V,Bringi V N.Hydrometeor classification system using dual-polarization radar measruements:model improvements and in situ verification[J].IEEE Trans Geosci Temote Sens,2005,43(4):792-801.
备注/Memo
收稿日期:2022-04-07
基金项目:国家重点研发计划资助项目(2018YFC1507401)