基于卡尔曼滤波算法的本溪地区雷达降水同化研究

Research on radar precipitation assimilation in Benxi Region based on Kalman filter algorithm

为降低雷达降水数据的误差,文中引入卡尔曼滤波算法进行降水数据同化,并与本溪地区人工观测降水进行误差比对。结果表明,采用卡尔曼滤波进行降水数据同化,提高了雷达降水数据在流域降水观测中的适用性,研究成果可为本溪乃至辽宁省雷达降水数据同化的应用提供参考。

In order to reduce the error of radar precipitation data,Kalman filter algorithm was introduced to assimilate the precipitation data and compare the error with the artificial observation of precipitation in Benxi Area.The results show that Kalman filter can improve the applicability of radar precipitation data in precipitation observation in the basin,and the research results can provide a reference for the application of radar precipitation data assimilation in Benxi and Liaoning Province.