随着风廓线雷达组网观测系统建设的推进, 质量控制是提高风廓线雷达观测资料应用效益的重要环节。通过介绍风廓线雷达回波信号的产生机理、信号与数据处理流程, 研究了风廓线雷达多普勒功率谱的湍流回波与干扰回波的特征, 给出了功率谱的特征量, 提出了基于模糊逻辑提取大气湍流回波信息的质量控制方法, 改进了多普勒速度估算的准确性。为检验质量控制方法的可靠性, 以合肥2008年6月4日10:42:16(北京时, 下同)东波束和8日10:36:20西波束的多普勒功率谱数据处理为例开展了风廓线观测资料质量控制的个例试验分析, 结果表明处理后观测资料的可用性较好。
With the wind profile radar network observing systems to promote the construction, quality control is to improve an important part of wind profiler radar observations effectiveness of the application. Generating mechanism、signal and data processing are described in the wind profile radar echo, wind profiler radar power spectrum characteristics of the turbulence echo and interference echo is discussed, the amount of characteristics of power spectrum is given, quality control methods based on fuzzy logic to extract the atmospheric turbulence echo information to improve the doppler velocity estimation accuracy are proposed. In order to inspection the reliability of quality control methods, a case study in the quality control of east beam at 10:42:16 on 4 and west beam at 10:36:20(Beijing Time) on 8 June 2008. The results showed that data availability of treatment observations is better.
[1]Jordan J R, Lataitis R J, Carter D A. Removing gound and intermittent clutter contamination from wind profiler signals using wavelet transforms[J]. J Atmos Ocean Technol, 1997, 14(12): 1280-1295.
[2]Thomas N. Analysis and quality control of profiler data using optimum interpolation[J]. J Atmos Ocean Technol, 2000, 17(5): 651-655.
[3]Robert S, Susan K A. Improving wind profiler–measured winds using coplanar spectral averaging[J]. J Atmos Ocean Technol, 2004, 21(11): 1671-1678.
[4]胡明宝. 风廓线雷达数据处理与应用研究[D]. 南京: 南京信息工程大学, 2012: 1-10.
[5]黄治勇, 周志敏, 徐桂荣, 等. 风廓线雷达和地基微波辐射计在冰雹天气监测中的应用[J]. 高原气象, 2015, 34(1): 269-278, doi: 10.7522/j.issn.1000-0534.2013.00130.
[6]吴志根, 沈利峰. 边界层风廓线仪应用中存在的若干问题[J]. 高原气象, 2010, 29(3): 801-809.
[7]何平. 相控阵风廓线雷达[M]. 北京: 气象出版社, 2006: 3-80.
[8]中国气象局.中华人民共和国气象行业标准(QX/T 78-2007): 风廓线雷达信号处理规范[S]. 北京: 中国气象局发布, 2007.
[9]黄钰, 阮征, 葛润生, 等. 风廓线雷达探测零度层亮带的试验研究[J]. 高原气象, 2011, 30(5): 1376-1383.
[10]朱斌, 高仲辉. 风廓线雷达探测系统中的谱数据处理[J]. 现代雷达, 2003, 25(11): 21-23.
[11]崔哲虎, 程明虎, 乌秋力, 等. 快速中值滤波方法及其在Doppler雷达资料处理中的应用[J]. 高原气象, 2005, 24(5): 727-729.
[12]Larry B, Robert C, Goodrich K, et al. A fuzzy logic method for improved moment estimation from doppler spectra[J]. J Atmos Ocean Technol, 1998, 15(12): 1287-1300.
[13]Morse C S, Goodrich R K, Cornman L B. The NIMA method for improved moment estimation from doppler spectra[J]. J Atmos Ocean Technol, 2002, 19(3): 284-286.
[14]Bianco L, Wilczak J M. Convective boundary layer depth: Improved measurement by Doppler radar wind profiler using fuzzy logic methods[J]. J Atmos Ocean Technol, 2002, 19(11): 1745-1758.
[15]葛凤翔, 孟华东, 彭应宁, 等. 杂波谱中心和谱宽估计方法[J]. 清华大学学报: 自然科学版, 2002, 42(7): 941-944.
[16]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.
[17]Peter H, Hildebrand R, Sekhon S. Objective determination of the noise level in doppler spectra[J]. J Appl Meteor, 1974, 13(10): 808-811.
[18]董德保, 翁宁泉, 肖黎明, 等. 一种风廓线雷达谱矩估计方法研究[J]. 现代雷达, 2009, 31(9): 40-43.
[19]Siggia A D, Passarelli R E. Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation[C]. Proceedings of the 3<sup>rd</sup> European Conterence on radar Meteorology (ERAD 2004), Visy, Sweden, 2004: 67-73.
