黄河三花区间天气雷达测雨技术应用研究  

Application of Weather Radar Rainfall Estimation Technology in San-Hua Reach of Yellow River

作　　者：王春青[1,3] 赵坤[2] 张勇[1] 邱淑会[1] 

机构地区：[1]黄河水利委员会水文局,河南郑州450004 [2]南京大学大气科学系教育部国家中尺度灾害性天气重点实验室,江苏南京210093 [3]UNESCO-IHE国际水教育学院,荷兰AX Delft2611

出　　处：《水文》2010年第2期62-65,49,共5页Journal of China Hydrology

摘　　要：采用改进窗概率配对方法以及自适应卡尔曼滤波和变分联合的方法分别对郑州和三门峡两部新一代多普勒天气雷达观测资料以及地面自动雨量站资料进行了降水反演和评估,并实现了两部雷达降水反演的拼图。评估结果表明在雷达测雨中,利用改进窗概率配对方法确定的Z-R关系反演的雷达测雨精度要优于目前国内业务雷达采用的经验关系式,而且经过自适应卡尔曼滤波和变分联合处理之后,既保持了雷达观测降水的空间分布特征,也显著提高了雷达测雨的精度。The improved window probability matching method and self-adaptive Kalman filter and variational approach method were used to make rainfall estimation and evaluation of the data from the two Doppler radars of new generation（CINRAD/SA） in Zhengzhou and Sanmenxia and ground automatic rain gauge data respectively,and the rainfall mosaic of the two radars rainfall estimation was realized.The evaluation results show that for the radar rainfall measurement,the experience relationship obtained from the improved window probability matching method is better than that of the present operational used in domestic.The processing by the self-adaptive Kalman filter and variational approach method can not only keep the spatial distribution features of the rainfall,but also improve the accuracy of the radar rainfall measurement.

关 键 词：雷达测雨 自适应卡尔曼滤波 变分法 三花区间 

分 类 号：P333[天文地球—水文科学]