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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >On the Effect of Radome Characteristics on Polarimetric Moments and Sun Measurements of a Weather Radar
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On the Effect of Radome Characteristics on Polarimetric Moments and Sun Measurements of a Weather Radar

机译:基于天气雷达的径向矩形特征对极化矩测的影响

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摘要

This letter illustrates the effects that the regular pattern of the metallic unions of a four-panel radome had on the polarimetric variables [differential reflectivity Z(dr), copolar differential phase phi(dp) offset, and copolar correlation coefficient (rho(hv))] as well as on the sun measurements of a mobile X-band weather radar. In particular, we focus on the analysis of the spatial distribution of the biases and the temporal variability of the sun measurements. We show that the metallic unions result in a nonnegligible sinusoidal-like spatial variability of the estimated biases (on the order of 7 degrees-8 degrees for phi(dp) offset and 0.4-0.5 dB for Z(dr) bias), as well as a drop in rho(hv) in rain and a large temporal variability in the power measured by sun scans. These effects are compared with the measurements collected without a radome and with the measurements collected with a seamless monoblock radome on the same radar system. It is shown that operating without radome, when possible, has a positive impact on the data quality, largely reducing the spatial variability of the biases and increasing the rho(hv) in rain. Similar performances, without the inherent risks, can be obtained as well with a seamless radome. Nevertheless, regardless of the form of operation, we advocate for monitoring the data quality as accurately as possible if quantitative applications are desired.
机译:这封信说明了四面板内拉米族的金属工会的常规模式对偏振变量[差分反射率z(dr),共差分相位pHI(dp)偏移和促进的相关系数(rho(hv) )]以及在移动X频段天气雷达的太阳测量上。特别是,我们专注于分析偏差的空间分布和太阳测量的时间变异性。我们表明金属工会导致估计偏差的非不可止的正弦状空间可变性(PHI(DP)偏移的7摄氏度 - 8级,Z(DR)偏置的0.4-0.5dB),以及作为Rho(HV)在雨中的掉落和太阳扫描测量的功率的大的时间变异性。将这些效果与没有弧拉麦的没有收集的测量进行比较,并且在同一雷达系统上用无缝单块块线集收集的测量值。结果表明,在可能的情况下,在没有弧度的情况下,在可能的情况下,对数据质量产生积极影响,大大降低了偏差的空间可变性并增加了雨中的rho(HV)。没有固有的风险的类似表现可以与无缝的ranomy一起获得。然而,无论操作形式如何,如果需要定量应用,我们倡导尽可能准确地监控数据质量。

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