Bootstrap Dual-Polarimetric Spectral Density Estimator
Bootstrap Dual-Polarimetric Spectral Density Estimator
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Bootstrap 双偏振光谱密度估计器
DOI：
10.1109/tgrs.2016.2641385
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发表时间：
2017
影响因子：
8.2
通讯作者：
B. Cheong
中科院分区：
文献类型：
--
作者：
Arturo Y. Umeyama;S. Torres;B. Cheong
天气雷达变量提供了关于水凝物的特性和运动的有用信息。然而，当感兴趣的气象信号被杂波污染时，批量信息可能被掩蔽。双极化谱密度（DPSD）可以揭示关于在给定雷达分辨率体积中以不同多普勒速度运动的散射体组的极化特性的附加信息。以前的DPSD估计方法需要对大量的光谱（从不同的空间位置或时间获得）进行平均，或者在频率上进行平均以获得准确的估计;尽管这样做，分辨率会降低，并且气象现象的重要特征可能会被掩盖。为了克服这些限制，提出了Bootstrap DPSD估计器，它允许从一个单一的停留以最小的空间，时间或频谱分辨率损失的DPSD估计。的Bootstrap和传统的DPSD估计的性能和局限性进行评估时，识别不同的极化特征的散射体在不同的径向速度在雷达体积移动的信号。Bootstrap DPSD估计器作为极化谱分析的工具的优点被证明与龙卷风情况下的数据中的极化谱特征的几个例子。预计，与Bootstrap DPSD和偏振光谱分析，它将有可能更好地了解龙卷风动力学及其连接到天气雷达测量，以及阐明重要的科学问题，激发了本文。
Weather radar variables provide useful information about the characteristics and motion of hydrometeors. However, the bulk information may be masked, when the meteorological signal of interest is contaminated by clutter. The dual-polarimetric spectral densities (DPSDs) may unveil additional information about the polarimetric characteristics of the groups of scatterers moving at different Doppler velocities in a given radar resolution volume. Previous DPSD estimation methods required averaging a large number of spectra (obtained from different spatial locations or times), or averaging in frequency to get accurate estimates; though by doing so, the resolution is degraded, and the important features of the meteorological phenomenon may be masked. In an attempt to overcome these limitations, the Bootstrap DPSD estimator is proposed, which allows the estimation of DPSDs from a single dwell with minimal spatial, temporal, or spectral resolution loss. The performance and the limitations of the Bootstrap and conventional DPSD estimators are assessed when identifying signals with different polarimetric signatures of scatterers moving at different radial velocities in the radar volume. The advantages of the Bootstrap DPSD estimator as a tool for the polarimetric spectral analysis are demonstrated with a few examples of polarimetric spectral signatures in data from tornado cases. It is expected that, with the Bootstrap DPSD and the polarimetric spectral analysis, it will be possible to better understand tornado dynamics and their connection to weather radar measurements, as well as to elucidate important scientific questions that motivated this paper.
影响因子：
2.2
作者：
Wang, Yadong;Yu, Tian-You;Ryzhkov, Alexander V.;Kumjian, Matthew R.
通讯作者：
Kumjian, Matthew R.