FENG Xiaozhen,XIAO Hui,SUN Yue,et al.Identification of the Melting Layer based on the X-band Polarimetric Radar Scans[J].Journal of Chengdu University of Information Technology,2019,(04):333-341.[doi:10.16836/j.cnki.jcuit.2019.04.002]
基于双偏振雷达参量的层状云零度层亮带识别研究
- Title:
- Identification of the Melting Layer based on the X-band Polarimetric Radar Scans
- 文章编号:
- 2096-1618(2019)04-0333-09
- Keywords:
- X-band dual polarization radar; attenuation correction; the melting layer; bright band identification
- 分类号:
- TN957.52+4
- 文献标志码:
- A
- 摘要:
- 零度层亮带(ML)是降水性层状云的一个重要特征,它对雷达定量估计区域降水有很大影 响,如何减小这种影响是雷达气象探测非常关心的科学问题。双偏振雷达能够提供双偏振参 数信息,在云降水粒子相态识别、粒子尺度分布等方面有优势。利用X波段双偏振雷达观测数 据,对差分相位移φDP滤波、又滤波后的φDP由定 义式重构得到KDP,对反射率因子ZH以及差分反射率 ZDR由KDP订正法进行衰减订正。以距离-高度扫描 (RHI)图像为基础,通过双偏振参量纹理法(texture of polarization parameters,TPP)得到 纹理参数SD(ZH)、SD(ZDR)、SD (KDP)、SD(ρHV),分析它们在垂直高度上的相对分 布识别零度层亮带,并与平均反射率因子垂直廓线识别法(MVPR)进行比较,说明运用双偏振参 数纹理法能够更好地识别零度层亮带以及分析研究偏振特征。
- Abstract:
- Stratiform rain situations are generally associated with the presence of a melting layer. This layer is an important feature as it has an influence on quantity precipitation estimation. How to reduce this effect is a scientific issue of great concern to radar meteorological observation. Dual-polarization radar can provide dual polarization parameter information, which has advantages in cloud precipitation particle phase identification and particle size distribution. In this paper, firstly, use median filtering to suppress the fluctuation of measured differential propagation phase. The attenuated reflectivity factor ZH and differential reflectivity ZDR can be corrected by using observable KDP.A new way to identify the melting layer on RHI scans using texture of polarization parameters(SD(ZH), SD (ZDR), SD(KDP), SD(ρHV)) is proposed and compare it with the mean vertical profile of reflectivity method(MVPR). The result shows that using texture of polarization parameters can identify the melting layer and analyze the polarization characteristics.
参考文献/References:
[1] 张培昌,杜秉玉,戴铁丕.雷达气象学[M].北京:气象出版社,2001.
[2] Straka JM,Zrnic’ DS,Ryzhkov AV.Bulk Hydrometeor
Classification and Quantification using Polarimetric Radar Data:Synthesis of
Relations[J].J.Applied Meteor.,2000,39(8):1341-1372.
[3] Hubbert JC,Dixon M,Ellis SM.Weather Radar Ground Clutter.Part II:Real-
Time Identification and Filtering[J].J.Atmos.OceanicTechn.,2009,26(7):1181-1197.
[4] Giangrande SE,Krause JM,Ryzhkov AV..Automatic designation of the
melting layer with a polarimetric prototype of the WSR-88D radar[J].J.Appl.
Meteorol.Clim 2008,47:1354-1364.
[5] MatrosovSY,Clark KA,Kingsmill DE.A polarimetricradarapproachto identify
rain,melting-layer,and snow regions for applying corrections to vertical
profiles of reflectivity[J].J.Appl.Meteorol.Clim.2007,46:154-166.
[6] White AB,Gottas DJ, Strem ET,Ralph FM,Neiman PJ.An automated brightband
height detection algorithm for use with Doppler radar spectral moments
[J].J.Atmos. Oceanic Technol.2002,19:687-697.
[7] Bandera J,Papatsoris AD,Watson PA,Tan J,et al.Method for detecting the
extend of the melting layer[J].IET Electr.Lett.1998,11:2104-2105.
[8] Zhang J,Langston C,Howard K.Bright-band Identification Based on
Vertical Profiles of Reflectivity from the WSR-88D[J].J.Atmos.Oceanic
Techn.,2008,25(10):1859-1872.
[9] Zhang J,Qi Y.A Real-Time Algorithm for the Correction of Bright Band
Effects in Radar-Derived QPE[J].J.Hydrometeor.,2010,11(5):1157-1171.
[10] 肖艳姣,刘黎平,李中华,等.雷达反射率因子数据中的亮带自动识别和抑制[J].高
原气象,2010,29(1):197-205.
[11] 庄薇,刘黎平,胡志群.青藏高原零度层亮带的识别订正方法及在雷达估测降水中
的应用[J].气象,2013,39(8):1004-1013.
[12] 孙赫敏.雷达回波中零度层亮带的研究[D].北京:中国气象科学研究院,2014.
[13] Snyder J C,Bluestein H B,Zhang G F,et al.Attenuation correction and
Hydrometeor classification of high-resolution,X-band,Dual-polarized mobile radar
measurements in severe convective storms[J].J Atmos Oceanic Technol,2010,27
(12):1979-2001.
[14] Park, H,Ryzhkov AV,Zrnic’ DS,et al.The Hydrometeor
Classification Algorithm for the Polarimetric WSR-88D:Description and
Application to an MCS[J].Wea.Forecast.,2009,24(3):730-748.
[15] 刘亚男,肖辉,姚振东,等.X波段双极化雷达对云中水凝物粒子的相态识别[J].气
候与环境研究,2012,17(6):925-936.
[16] Hubbert J,Bringi V N.An iterative filtering technique for the analysis
of copolar differential phase and dual-frequency radar measurements[J].J Atmos
Oceanic Technol,1995,12(3):643-648.
[17] Ryzhkov A V.The impact of beam broadening on the quality of radar
polarimetric data[J].J Atmos Oceanic Technol,2007,24(5):729-744.
[18] Bringi VN,Chandrasekar V,Balakrishnan N,et al.An Examination of
Propagation Effects in Rainfall on Radar Measurements at Microwave Frequencies
[J].Journal of Atmospheric and Oceanic Technology,1990,7:829-840.
[19] Jameson AR.The effect of temperature on attenuation-correction schemes
in rain using polarization propagation differential phase shift[J].Journal of
Applied Meteorology,1992,31(9):1106-1120.
[20] Matrosov SY,Clark KA,Martner BE,et al..X-band polarimetric radar
measurements of rainfall[J].Journal of Applied Meteorology,2002,41(9):941-952.
[21] 胡志群,刘黎平,楚荣忠,等.X波段双线偏振雷达不同衰减订正方法对比及其对降
水估测影响研究[J].气象学报,2008(2):251-261.
[22] 曹杨,陈洪滨,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.
[23] Park, H,Ryzhkov AV,Zrnic’ DS,et al.The Hydrometeor
Classification Algorithm for the Polarimetric WSR-88D:Description and
Application to an MCS[J].Wea.Forecast.,2009,24(3):730-748.
[24] Wolfensberger 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).
[25] Kreyszig E.Advanced Engineering Mathematics[M].New York,2010.
[26] 曹俊武,刘黎平,陈晓辉,等.3836C波段双线偏振多普勒雷达及其在一次降水过程
中的应用研究[J].应用气象学报,2006,17(2):192-200.
相似文献/References:
[1]肖 佩,霍 娟,毕永恒.地基Ka波段云雷达数据质量控制方法研究分析[J].成都信息工程大学学报,2018,(02):129.[doi:10.16836/j.cnki.jcuit.2018.02.005]
XIAO Pei,HUO Juan,BI Yong-heng.Ground-based Ka Band Cloud Radar Data Quality Control[J].Journal of Chengdu University of Information Technology,2018,(04):129.[doi:10.16836/j.cnki.jcuit.2018.02.005]
[2]陆方岳,苏德斌,周筠珺.天气雷达探测性能评估方法及初步分析[J].成都信息工程大学学报,2017,(增刊2):8.
[3]陈 夏,王海江,吴 蕾,等.一种综合的风廓线雷达数据质量控制方法[J].成都信息工程大学学报,2021,36(05):485.[doi:10.16836/j.cnki.jcuit.2021.05.002]
CHEN Xia,WANG Haijiang,WU Lei,et al.A Synthetic Quality Control Method of Wind Profile Radar Data[J].Journal of Chengdu University of Information Technology,2021,36(04):485.[doi:10.16836/j.cnki.jcuit.2021.05.002]
[4]杜 捷,王海江,孙召平.基于模糊逻辑的双偏振天气雷达地物杂波识别算法[J].成都信息工程大学学报,2022,37(02):159.[doi:10.16836/j.cnki.jcuit.2022.02.008]
DU Jie,WANG Haijiang,SUN Zaoping.Ground Clutter Recognition Algorithm of Dual Polarization Weather Radar based on Fuzzy Logic[J].Journal of Chengdu University of Information Technology,2022,37(04):159.[doi:10.16836/j.cnki.jcuit.2022.02.008]
[5]郝博胜,高 霞,周 晔,等.激光测风雷达径向风速的质量控制方法[J].成都信息工程大学学报,2022,37(03):259.[doi:10.16836/j.cnki.jcuit.2022.03.004]
HAO Bosheng,GAO Xia,ZHOU Ye,et al.The Quality Control for Radial Wind Velocity of LiDAR[J].Journal of Chengdu University of Information Technology,2022,37(04):259.[doi:10.16836/j.cnki.jcuit.2022.03.004]
[6]王家珉,李田家,顾桃峰,等.一种基于深度卷积神经网络的电磁干扰识别与抑制方法[J].成都信息工程大学学报,2024,39(01):43.[doi:10.16836/j.cnki.jcuit.2024.01.008]
WANG Jiamin,LI Tianjia,GU Taofeng,et al.A Method of Electromagnetic Interference Identification and Suppression based on Deep Convolutional Neural Network[J].Journal of Chengdu University of Information Technology,2024,39(04):43.[doi:10.16836/j.cnki.jcuit.2024.01.008]
备注/Memo
收稿日期:2019-04-06 基金项目:国家重点研发计划资助项目(2016YFE0201900-02); 国家自然科学基金资助项目 (41575037); 国家重点基础研究发展计划(973)资助项目(2014CB441403)