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首页> 外文会议>30th International Conference on Radar Meteorology, Jul 19-24, 2001, Munich, Germany >RADAR DATA QUALITY CONTROL: EVALUATION OF SEVERAL ALGORITHMS BASED ON ACCUMULATING RAINFALL STATISTICS
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RADAR DATA QUALITY CONTROL: EVALUATION OF SEVERAL ALGORITHMS BASED ON ACCUMULATING RAINFALL STATISTICS

机译：雷达数据质量控制：基于累积降雨统计的几种算法评估

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摘要

A comparison of six radar data QC algorithms has been conducted, focusing on the removal of spurious echoes associated with AP. Based upon the results of this study, evidence suggests that either of the automated NCAR and PL) algorithms may be a viable alternative to the current, labor-intensive QC procedure employed by TRMM GV. Each of these algorithms performs well in removing strong AP echoes while not removing true precipitation echoes. The performance of the QC algorithms is strongly dependent upon the type of spurious echo present. In specific cases, the GSFC algorithm, even with the added need for manual intervention, may perform better than the other fully automated procedures.
机译：比较了六个雷达数据质量控制算法，重点是消除与AP相关的伪回波。根据这项研究的结果，证据表明，自动NCAR和PL）算法都可以替代TRMM GV当前采用的劳动密集型QC程序。这些算法中的每一种在去除强AP回声时都表现良好，而没有去除真实的降水回声。 QC算法的性能在很大程度上取决于存在的伪回波的类型。在特定情况下，即使增加了手动干预的需求，GSFC算法的性能也可能比其他全自动过程更好。

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