中文摘要：

雷达在定量测量降水在时间和空间上具有很大的优势,但在精度方面仍存在着很大的误差,如何利用雨量站的降雨信息与雷达信息进行降水数据的同化是提高雷达估算降雨精度的主要方向之一.分别利用平均校准法、卡尔曼滤波校准法、最优插值法、变分校准法和统计权重集成法对由分组Z-I关系估算的雷达降雨资料进行同化,并将同化后的雷达降雨与雨量站实测降雨进行了对比分析.分析结果表明,同化方法估测的面平均降水量与雨量计场比较吻合,估测精度比Z-I关系法有了明显的提高.统计权重集成法、最优插值法和变分校准法的同化效果总体较好,其次是卡尔曼滤波校准法,平均校准法效果较差.

英文摘要：

Radar-measured rain has more advantage of the quantitative precipitation estimation in time and space,but its precision exist more error.Data assimilation on the Radar-measured Rain and rain gauge is one of the main ways to make use of their information.Average calibration,Kalman Filter,optimum interpolation method,variational calibration method and statistical weight method are used to assimilate the precipitation transformed from radar data using the precipitation detected by rain gauge as the criterion.And then,this paper compares the assimilated precipitation with the precipitation detected by rain gauge in quantity.The results show that the average regional precipitation of the assimilation approaches is in good coincide with the rain gauge field;its estimation accuracy is significantly higher than the Z-I relations method.The assimilated effect of the statistical weight method,the optimum interpolation method and the variational calibration method is the best,followed by the Kalman filter calibration method.The result of the average calibration method is poor.