摘要
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.
出处
《东北水利水电》
2023年第6期21-23,71,共4页
Water Resources & Hydropower of Northeast China
关键词
雷达降水
人工观测降水
数据同化
卡尔曼滤波算法
本溪
radar precipitation
artificial observation precipitation
data assimilation
Kalman filter algorithm
Benxi
