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利用卡尔曼滤波校准方法估算区域降水量
RADAR RAINFALL CALIBRATION BY USING THE KALMAN FILTER METHOD
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摘要: 该文根据卡尔曼滤波校准方法估算区域降水量的原理，利用“973”项目野外观测资料对2002年6月22日的一次降水过程进行了试验研究。结果表明：卡尔曼滤波校准方法能提高雷达定量估算区域降水量的精度，并能较好地反映雷达探测到的精细降水场结构；验证了随着观测次数的增加，卡尔曼滤波校准方法估算降水量的精度越来越高。Abstract: The Kalman Filter calibration method was tested by "973" project (Research on the Formation Mechanism and Prediction Theory of Severe Synoptic Disasters in China) field data—a rainfall case on June 22, 2002. The analysis of parameters impacting on the result which the Kalman Filter calibration method figures out is done. The result shows that the Kalman Filter calibration method can improve the accuracy of radar rainfall measurement well. With the increase of observing times, the value which the Kalman Filter calibration method figures out is more accurate
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Key words:
- Kalman Filter;
- Rainfall measurement;
- Doppler radar
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