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    Study of Rainfall Estimate Technique with GMS-5 Data
    应用GMS5多通道云图估计降水技术的研究
    The results reveal that their errors is31.8% and 41.0% for daily area rainfall estimation, and their correlation coefficients are 0.97 and 0.94.
    在日面降水估计试验中,地面雨量计值和卫星估计降水之间的相关系数分别为0.94和0.97,相对误差分别为41%和32%。
    Review on the Techniques for Estimation of Precipitation with Satellite Data
    用卫星资料估计降水方法的评述
    AN INVESTIGATION ON VERTICAL PROFILES OF RADAR REFLECTIVITY AND PRECIPITATION ESTIMATION WITH REMOTELY SENSED DATA
    雷达反射率因子垂直廓线研究和多种遥感资料综合估计降水
    THE STUDY AND APPLICATION OF RAINFALL ESTIMATE SYSTEM USING GMS-5 DATA IN EAST CHINA
    中国东部地区卫星估计降水系统及其应用
    The widely used techniques for estimation of precipitation with satellite data are comprehensively presented. Some data in the published papers are used to analyse and compare these techniques.
    该文较全面地介绍了目前国际上应用气象卫星资料估计降水的方法,并引证了部分资料对已有的降水估计方法进行了分析和比较。 提出了目前降水估计方法的攻关难点。
    The problems in solving precipitation estimation are discussion.
    这对于目前我国刚刚起步的卫星估计降水研究将有一定的参考价值。
    The relationship of the rainfall rate averaged over a sampling area, which is sufficiently large and conditionally homogeneous of climate, with the cloud coverage, standard deviation of the brightness temperatures at cloud top,and temporal variability of the cloud coverage, has been studied, and three statistical models are obtained for estimating rain amount with digitized, 1 h interval infrared images from geostationary satellite.
    在条件气候均匀及范围足够大取样区域,研讨面平均雨强与云覆盖率、云顶表面亮度温度的标准偏差、云覆盖率随时间的变化率三者之间的关系,得到用1h间隔的数字化红外卫星资料估计降水的三种模式。
    This paper described the principle of rain estimation by radar. Based on the rain principle of radar estimation and the aspects of outside physical conditions, the error source of rain estimation in Lanzhou and the nearby areas is also analyzed.
    文中介绍了雷达估计降水原理,并从雷达估计降水原理和外界物理条件方面分析兰州新一代天气雷达对兰州及周边地区降水估计的误差来源。
    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.
    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。
 

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