J4 ›› 2008, Vol. 26 ›› Issue (1): 78-82.

• 业务应用技术 • 上一篇    下一篇

卡尔曼滤波法在西峰雷达估测降水中的应用

徐 燕   

  1. 甘肃省庆阳市气象局,甘肃 庆阳 745000
  • 收稿日期:2007-09-13 修回日期:2008-01-11 出版日期:2008-03-31 发布日期:2008-03-31
  • 作者简介:徐燕(1977 - ) ,女,宁夏固原人,助理工程师,主要从事中短期天气预报工作和预报方法的开发应用. E - mail: qyxuyan414@163. com
  • 基金资助:

    甘肃省气象局2007年青年科技开发基金资助

Applica tion of Ka lman Filter in Prec ip ita tion Estima tion by Radar

 XU  Yan   

  1. Q ingyang M eteorological B ureau of Gansu Province, X ifeng 745000, China
  • Received:2007-09-13 Revised:2008-01-11 Online:2008-03-31 Published:2008-03-31

摘要:

应用卡尔曼滤波校准法,利用地面自动雨量计的降水量值,对庆阳市2007年7月和9月2次降水过程中的2个雨量较明显时段的雷达估测值进行了校准分析,并与雨量计测量的雨量值进行了误差比较分析。结果显示:混合降水过程的校准效果要优于均匀降水过程。校准后,混合降水过程的相对误差从166. 4%下降到了7. 6% ,均匀降水过程的相对误差从284. 3%下降到了56. 9%。由此可以看出卡尔曼滤波校准法能有效消除雷达估测降水过程中的各种随机噪声,并能提高雷达定量估算区域降水量的精度,同时还较好地保留了雷达探测降水的精细结构。

关键词: 卡尔曼滤波, 雷达, 估测降水

Abstract:

The calibrated analysis of the p recip itation estimation by radar was made using Kalman filter method based on p recip itation data measured by rain - gaug in two rainfall p rocesses occurred in July and Sep tember of 2007 in Qingyang of Gansu Province, and the errors were also analyzed by comparing the measured data by rain - gauge. The results show that the effect of calibration in the p recip i2 tation p rocess from 03: 00 to 11: 00 July 28 surpasses that in rainfall p rocess from 14: 00 to 22: 00 Sep tember 6, and the relative error dropped from 166. 4% to 7. 6% and 284. 3% to 56. 9% after calibration, respectively. The random noises in the p rocess of rainfall es2 timation by radar can be effectively eliminated and the p recision of quantitative estimation can be enhanced by the Kalman filtermethod for the regional p recip itation, meanwhile, the fine structure of p recip itation exp loration by radar can be retained better.

Key words: Kalman filtering, radar, rainfall estimation

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