基于S波段双极化雷达的最优化定量测雨方法研究

发布时间：2018-11-25 17:30

【摘要】：近年来,广东等地陆续建设了业务运行的双极化天气雷达。随着我国双极化雷达的发展步入业务应用阶段,提出了更多亟待开展的研究课题,如探测降雨能力的评估和提高、雷达测量信息可靠性控制等。针对我国业务运行的双极化天气雷达定量测雨精度的评估和提高工作,利用双极化雷达在目标信息识别技术方面的特殊优势,基于珠海业务运行的双极化雷达,本文提出了一种基于目标信息识别技术的双极化雷达HCA-LIQ最优化定量测雨方法。该方法参考了 CSU-ICE最优化算法的测量模型,以及利用了双极化雷达多种测雨公式的优势,并且对公式做了本地化改进。为了对本文提出的HCA-LIQ最优化方法的测量效果进行统计分析,利用珠海业务运行的双极化雷达和地面实测信息,以两次华南夏季典型的降雨样本为例,对HCA-LIQ最优化方法的测量偏差进行了时空变化分析,并且与CSU-ICE最优化方法、R (ZH)方法进行了对比研究。实验结果表明:本文HCA-LIQ最优化算法表现出与实测结果较强的相关性且有着较好的稳定性;三项误差评估指标均要优于CSU-ICE最优化算法;与R (ZH)方法相比,HCA-LIQ最优化算法很大程度上提高了对大到暴雨的测量精度。进一步对珠海和广州两部业务运行的双极化雷达做了对比研究。不仅比较分析了两部雷达在共同覆盖区域内对同一降雨样本探测的雷达电磁辐射强度大小,而且对比了使用HCA-LIQ最优化算法进行测雨的效果。实验结果表明:由于采样空间的差异、雷达波的衰减、雷达标定的影响,两部雷达在相同时段探测相同区域的电磁辐射强度是有差异的;广州雷达测雨效果的三项评估指标均要明显优于珠海雷达,其主要原因是2016年珠海雷达本身的系统误差偏大。
[Abstract]:In recent years, Guangdong and other places have been built business operation of dual-polarization weather radar. With the development of dual-polarization radar in China, more and more research topics are put forward, such as the evaluation and improvement of rainfall detection ability, reliability control of radar measurement information and so on. Aiming at the work of evaluating and improving the quantitative rain measurement accuracy of dual-polarization weather radar in our country, the dual polarization radar based on Zhuhai operational dual polarization radar is based on the special advantage of dual polarization radar in target information recognition technology. This paper presents an optimal quantitative rain measurement method for dual polarimetric radar based on target information recognition technology by HCA-LIQ. The method refers to the measurement model of the CSU-ICE optimization algorithm, and makes use of the advantages of many rain measurement formulas of dual-polarization radar, and improves the formula locally. In order to make a statistical analysis of the measurement results of the HCA-LIQ optimization method proposed in this paper, using the dual polarization radar operating in Zhuhai and the ground measured information, two typical rainfall samples in South China in summer are taken as an example. The measurement deviation of HCA-LIQ optimization method is analyzed in time and space, and compared with CSU-ICE optimization method, R (ZH) method. The experimental results show that the HCA-LIQ optimization algorithm has a strong correlation with the measured results and has good stability, and the three error evaluation indexes are better than the CSU-ICE optimization algorithm. Compared with the R (ZH) method, the HCA-LIQ optimization algorithm greatly improves the measurement accuracy of heavy rain. Furthermore, two polarimetric radars operating in Zhuhai and Guangzhou are compared. Not only the intensity of electromagnetic radiation detected by two radars on the same rainfall sample in a common coverage area is compared, but also the effect of using HCA-LIQ optimization algorithm to measure rain is compared. The experimental results show that because of the difference of sampling space, the attenuation of radar wave and the influence of radar calibration, the two radars have different electromagnetic radiation intensity in the same region at the same time. The three evaluation indexes of Guangzhou radar are obviously better than Zhuhai radar. The main reason is that the systematic error of Zhuhai radar in 2016 is on the high side.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN959.4

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