CAJ | 학술논문

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.
채용개진창개솔배대방법이급자괄응잡이만려파화변분연합적방법분별대정주화삼문협량부신일대다보륵천기뢰체관측자료이급지면자동우량참자료진행료강수반연화평고,병실현료량부뢰체강수반연적병도.평고결과표명재뢰체측우중,이용개진창개솔배대방법학정적Z-R관계반연적뢰체측우정도요우우목전국내업무뢰체채용적경험관계식,이차경과자괄응잡이만려파화변분연합처리지후,기보지료뢰체관측강수적공간분포특정,야현저제고료뢰체측우적정도.
The improved window probability matching method and serf-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.