卫星雷达联合重构大尺度流域降水场  

Precipitation Field of Large Scale Catchment Reconstructed by Combination of GMS Satellite and Weather Radar

作　　者：阿迈德.迪狄安.迪阿罗 刘晓阳[1] 毛节泰[1] 朱元竞[1] 

机构地区：[1]北京大学物理学院大气科学系,北京100871

出　　处：《高原气象》2004年第1期11-17,共7页Plateau Meteorology

基　　金：国家自然科学基金项目(40275004)资助

摘　　要：给出了一种用GMS-5卫星估计3h降水的方法,并利用地面测雨雷达和卡尔曼滤波器提取误差因子,用于在雷达探测范围以外校准卫星估计的降水,从而获得大尺度流域的(淮河流域)降水分布。在史灌河子流域的比较试验表明:卫星雷达联合重构的降水场具有比卫星估计降水更高的精度,3h降水估计的相对误差从31%下降到13%,和地面降水场的相关系数也有明显提高。For a large basin where a ground weather radar cannot cover completely, the precipitation field could be better estimated by radar-modified satellite data than satellite data alone. A method for 3 h precipitation estimation is first presented based on GMS satellite and gauge data statistics. Then the estimation of precipitation is further modified by ground weather radar and Kalman filter. The result on test subcatchment in Shihuaihe river basin shows that the error of satellite precipitation estimation decreases from 31% down to 13% after the radar adjustment.

关 键 词：GMS卫星 天气雷达 降水估计 卡尔曼滤波 

分 类 号：P412.27[天文地球—大气科学及气象学]