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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Robust Attenuation Correction System for Reflectivity and Differential Reflectivity in Weather Radars
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A Robust Attenuation Correction System for Reflectivity and Differential Reflectivity in Weather Radars

机译：鲁棒的天气雷达反射率和微分反射率衰减校正系统

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摘要

For any quantitative applications that use reflectivity and/or differential reflectivity, radar observations need to be compensated for attenuation effects due to precipitation. This paper presents a robust attenuation correction system (ACS) for dual-polarization radars correcting the reflectivity factor as well as differential reflectivity profiles. The major advantage of the algorithm described in this paper is that the procedures are immune to the bias effect of reflectivity and differential reflectivity. In addition, this method is not very sensitive to the variation of temperature. The proposed ACS has been evaluated with X-band radar observations simulated from drop size distribution derived from high-resolution S-band measurements observed by the CSU-CHILL radar. The evaluation of the proposed retrieval algorithm shows that the retrieved reflectivity and differential reflectivity provide an improvement over the conventional self-consistent attenuation correction technique with the differential phase constraint.
机译：对于使用反射率和/或差分反射率的任何定量应用，都需要对雷达观测资料进行补偿，以补偿由于降水造成的衰减影响。本文介绍了一种用于双极化雷达的鲁棒衰减校正系统（ACS），用于校正反射率系数和差分反射率曲线。本文描述的算法的主要优点是，该过程不受反射率和微分反射率的偏差影响。另外，该方法对温度变化不是很敏感。拟议的ACS已通过X波段雷达观测结果进行了评估，该观测结果是从液滴尺寸分布中模拟得出的，该液滴尺寸分布是由CSU-CHILL雷达观测到的高分辨率S波段测量结果得出的。对所提出的检索算法的评估表明，所检索的反射率和差分反射率对具有差分相位约束的常规自洽衰减校正技术提供了改进。

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