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用卡尔曼滤波确定变分方法中的权重系数进行雨量校正
引用本文:赵坤,刘国庆,葛文忠.用卡尔曼滤波确定变分方法中的权重系数进行雨量校正[J].气候与环境研究,2001,6(2):180-185.
作者姓名:赵坤  刘国庆  葛文忠
作者单位:南京大学大气科学系,
基金项目:国家自然科学基金资助项目49794030
摘    要:利用1999年淮河流域能量与水分循环试验(HUBEX)获得的雷达及遥测雨量计资料,用卡尔曼滤波方法确定变分法的权重系数,对1999年6月27日5:00到6月27日18:00的一次降水过程进行雨量校正,并将校正结果同其他校正方法的结果进行比较分析.

关 键 词:变分法  卡尔曼滤波  权重系数  平均偏差场
修稿时间:2001年3月1日

Precipitation Calibration by Using Kalman Filter to Determine the Coefficients of the Variational Equation
Zhao Kun,Liu Guoqing and Ge Wenzhong.Precipitation Calibration by Using Kalman Filter to Determine the Coefficients of the Variational Equation[J].Climatic and Environmental Research,2001,6(2):180-185.
Authors:Zhao Kun  Liu Guoqing and Ge Wenzhong
Abstract:We use the consecutive radar data collected in Fuyang and hourly raingague measurements during HUBEX in 1999 to correct radar-obtained rainfall field by combining variational analysis with Kalman filter. In this method, we determine the coefficients of the variational equation and Euler equation by Kalman filter so we can correct the radar-obtained rainfall from 5:00 June 27 to 18:00 June 27, 1999. In this case, the time between consecutive volume scan is ten minutes. By comparing the rainfall field gained in this way with that through averaging method and old variantional analysis method, we found we can gain the more accurate rainfall field by the new method.
Keywords:variational method  Kalman filter  weighting coefficient  mean radar-rainfall-field bias
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