Pseudo-Color Composite for Polarimetric Radar

  • CHENG Zhoujie ,
  • WEI Ming ,
  • ZHU Yaping ,
  • LIU Xianxun ,
  • QI Linlin ,
  • NING Yinghui
Expand
  • Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;2. Beijing Aviation Meteorology Institute, Beijing 100085, China;3. Beijing Marine Hydrometeorology Center, Beijing 100073, China

Received date: 2012-11-05

  Online published: 2014-10-28

Abstract

Pseudo-color composite technique has widely used in satellite remote sensing applications. Polarimetric radar can give more measurements that make the use of color composite technique in radar possible. Based on three S-band polarimetric radar measurements (reflectivity factor Zh, differential reflectivity factor Zdr and linear depolarization radio LDR), a method for color composite is given. According their respective measure range, Zh, Zdr and LDR are scaled to 0~255 linearly as the RGB channel data to form RGB image. Comparing shows that within all the combinations, the image formed by LDR, Zh and Zdr as R, G, B channel respectively can take on more abundant information, which not only retains the reflectivity structure characters, but also implicates the properties of the polarimetric measurements from different colors, and has more comfortable visual effect. For different type of hydrometeors, composite color is calculated according to their radar measurements range, and the qualitative analysis show that there is distinct difference between each two colors of given hydrometeors type, which favors the visual distinguishing. Case studies based on RHI and PPI data show that reflectivity structures are retained in the composite image, and the distribution of hydrometeor types implicated form colors is reasonable. The types of radar echoes can be easily estimated from this composite image, and the proposed color composite technique can be used in polarimetric radar operational applications.

Cite this article

CHENG Zhoujie , WEI Ming , ZHU Yaping , LIU Xianxun , QI Linlin , NING Yinghui . Pseudo-Color Composite for Polarimetric Radar[J]. Plateau Meteorology, 2014 , 33(5) : 1448 -1456 . DOI: 10.7522/j.issn.1000-0534.2013.00088

References

[1]Fleming J. A 1954 color painting of weather systems as viewed from a future satellite[J]. Bull Amer Meteor Soc, 2007, 88: 1525-1527.
[2]Dentremont R P, Thomason L W. Interpreting meteorological satellite images using a color-composite technique[J]. Bull Amer Meteor Soc, 1987, 68: 762-768.
[3]Negril A J, Adler R F, Kummerow C D. False-color display of special sensor microwave/imager (SSM/I) data[J]. Bull Amer Meteor Soc, 1989, 70: 146-151.
[4]Klaes K D, Dentremont P R, Thomason L W. Applying an 8-bit multispectral color-composite image simulation technique to operational real-time AVHRR data[J]. Bull Amer Meteor Soc, 1992, 73: 766-772.
[5]Hillger D W. GOES-R advanced baseline imager color product development[J]. J Atmos Oceanic Technol, 2008, 25: 853-872.
[6]朱亚平, 程周杰, 刘健文, 等. 多光谱云分类技术在锋面云系中的应用[J]. 热带气象学报, 2009, 25(1): 66-72.
[7]张廷龙, 杨静, 楚荣忠, 等. 平凉一次雷暴云内的降水粒子分布及其电学特征的探讨[J]. 高原气象, 2012, 31(4): 1091-1099.
[8]郭丽君, 王振会, 董慧杰, 等. 旋转扁椭球水滴散射特性的快速算式研究[J]. 高原气象, 2012, 31(4): 1081-1090.
[9]苏德斌, 孟庆春, 沈永海, 等. 双线偏振天气雷达天线性能要求及其检测方法[J]. 高原气象, 2012, 31(3): 847-861.
[10]马建立, 苏德斌, 金永利, 等. X波段双线性偏振雷达电磁波衰减对冰雹识别的影响[J]. 高原气象, 2012, 31(3): 825-835.
[11]肖艳姣, 王斌, 陈晓辉, 等. 移动X波段双线偏振多普勒天气雷达差分相位数据质量控制[J]. 高原气象, 2012, 31(1): 223-230.
[12]Zrnic D, Ryzhkov A V. Polarimetry for weather surveillance radar[J]. Bull Amer Meteor Soc, 1999, 80: 389-406.
[13]Vivekanandan J, Zrnic D, Ellis S M, et al. Cloud microphysics retrieval using S-band dual-polarization radar measurements[J]. Bull Amer Meteor Soc, 1999, 80: 381-388.
[14]Liu H, Chandrasekar V. Classification of hydrometeor type based on polarimetric radar measurements: Development of fuzzy logic and neuro-fuzzy systems, and in situ verification [J]. J Atmos Oceanic Technol, 2000, 17: 140-164.
[15]Park H, Ryzhkov A V, Zrnic D, et al. The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS[J]. Wea Forecasting, 2009, 24: 730-748.
[16]刘黎平, 钱永甫, 王致君. 用双线偏振雷达研究云内降水粒子相态及尺度的空间分布[J]. 气象学报, 1996, 54(5): 590-598.
[17]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.
[18]Zrnic D, Ryzhkov A V, Straka J, et al. Testing a procedure for automatic classification of hydrometeor types[J]. J Atmos Ocean Technol, 2001, 18: 892-913.
[19]Straka J M, Zrnic D. Bulk hydrometeor classification and quantification using polarimetric radar data: Synthesis of relations[J]. J Appl Meteor, 2000, 39: 1341-1372.
[20]程周杰, 刘宪勋, 朱亚平. 双偏振雷达对一次水凝物相态演变过程的分析[J]. 应用气象学报, 2009, 20(5): 594-601.
[21]Goddard J W F, Eastment J D, Thurai M. The chilbolton advanced meteorological radar: A tool for multidisciplinary atmospheric research[J]. IEEE Electron Commun Eng J, 1994, 6: 77-86.
[22]Andric J, Zrnic D, Melnikov V. Two-layer patterns of enhanced ZDR in clouds[C]. 34<sup>th</sup> AMS Radar Conf, 2009: 2-12.
Outlines

/