称重式雨量计几种不同滤波方法的效果对比分析  

Comparative analysis on several filtering algorithms of weighing rain sensor

作　　者：牛永红[1] 卢会国[1] 蒋娟萍[1] 

机构地区：[1]成都信息工程学院电子工程学院,成都610031

出　　处：《气象水文海洋仪器》2013年第4期21-26,共6页Meteorological,Hydrological and Marine Instruments

基　　金：中国气象局气象探测中心青年基金项目(TCQNJJ201208)

摘　　要：称重式雨量传感器通过雨水的重量变化计算雨量值。文章在对双流县2012-07-02降雨过程的称重式雨量计数据进行处理时,通过指数平滑法、小波滤波法等几种不同的滤波算法消除随机误差和系统噪声,最后与自动气象站翻斗式雨量数据进行对比,结果表明小波算法和指数平滑法可以有效的滤除噪声且与自动站测量的误差最小。Weighing rain sensor computes the value of the precipitation by rainfall weight change. This paper analyzes the rainfall data obtained by weighing rain senor on July 2,2012 in Shuangliu county of Chengdu. By means of several different filtering algorithms including wavelet filter method and exponential smoothing method, the random error and system noise are eliminated. Finally, compared with rainfall data from automatic weather station, the results show that the method of wavelet algorithm and exponential smoothing can effectively remove the noise with the minimum error.

关 键 词：称重 雨量 干扰源 滤波算法 

分 类 号：P414.95[天文地球—大气科学及气象学]