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卫星雷达联合重构大尺度流域降水场
引用本文:阿迈德·迪狄安·迪阿罗,刘晓阳,毛节泰,朱元竞. 卫星雷达联合重构大尺度流域降水场[J]. 高原气象, 2004, 23(1): 11-17
作者姓名:阿迈德·迪狄安·迪阿罗  刘晓阳  毛节泰  朱元竞
作者单位:北京大学,物理学院大气科学系,北京,100871;北京大学,物理学院大气科学系,北京,100871;北京大学,物理学院大气科学系,北京,100871;北京大学,物理学院大气科学系,北京,100871
基金项目: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。

关 键 词:GMS卫星  天气雷达  降水估计  卡尔曼滤波
文章编号:1000-0534(2004)01-0011-07

Precipitation Field of Large Scale Catchment Reconstructed by Combination of GMS Satellite and Weather Radar
Ahmed Tidiane Diallo,LIU Xiao-yang,MAO Jie-tai,ZHU Yuan-jing. Precipitation Field of Large Scale Catchment Reconstructed by Combination of GMS Satellite and Weather Radar[J]. Plateau Meteorology, 2004, 23(1): 11-17
Authors:Ahmed Tidiane Diallo  LIU Xiao-yang  MAO Jie-tai  ZHU Yuan-jing
Abstract: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.
Keywords:GMS satellite  Weather radar  Precipitation estimation  Kalman filter
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