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Mobile high-resolution X-band polarimetric Doppler weather radar measurements (XPOL): Evaluation and application.

机译:移动高分辨率X波段极化多普勒天气雷达测量(XPOL):评估和应用。

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This Ph.D dissertation focuses on applications of a mobile high resolution X-band polarimetric Doppler weather radar observations in quantitative rainfall and microphysical estimation. X-band tends to be an attractive radar frequency for hydrologists and hydrometeorologists who are more interesting in high-resolution measurements over small watersheds. However, the drawback with X-band radar is severe attenuation of the electromagnetic signal in significant rainfall, which affects the radar observations and introduces errors in rainfall estimation.; The major advantage of the polarimetric weather radar is that it has the ability to transmit and receive both horizontal and vertical polarization. This capability introduces two radar measurements apart from the horizontal reflectivity (ZH). These are the differential reflectivity (ZDR), which is the ratio of horizontal (H) to vertical (V) polarization and the differential phase shift (phiDP), which is the difference in phase between the H and V polarization signals.; This additional information helps to increase the correlation (r 2 > 0.95) between attenuation-corrected (National Observatory of Athens X-band polarimetric) XPOL versus the non-attenuated ZH and ZDR X-band parameters derived from (NCAR S-band polarimetric radar) S-Pol. Error statistics show that the selected algorithm with the least systematic error than the other methods and axial ratio models, converge to below 10% (50%) at path integrated attenuation (differential PIA) values greater than 10 dB (2.5 dB). Overall, the combined uncertainty in the estimation of specific and differential attenuation parameters represent about 28% (in ZH) and 38% (in ZDR).; The first part of this thesis focuses on the development of an algorithm that corrects for rain-path attenuation. The second part of this thesis describes a methodology that estimates drop size distribution (DSD) from the attenuation-corrected radar measurements. Two algorithms that estimate the three-parameter 'normalized' Gamma DSD model are developed for X-band radar polarimetric observations and compared against S-Pol radar and disdrometer spectra observations. The constrained-gamma method is so named because of the constrained mu-Λ relation and the "beta" beta is so named because of the estimation of the mean axis ratio of drops.; From the statistical analysis and comparisons of disdrometer spectra observations and S-Pol DSD retrievals, it is found that the beta-method introduces errors from the use of KDP, while the constrained-method works reasonably well at low and high rain rates and provides relatively accurate retrieval of the DSD parameters. Error statistics show that the beta-method introduces an additional 20% and 30% error in NW and mu while for the estimation of D 0 both algorithms have similar performance.
机译:本博士论文的重点是移动高分辨率X波段极化多普勒天气雷达观测在定量降雨和微物理估计中的应用。对于水文学家和水文气象学家来说,X波段往往是有吸引力的雷达频率,他们对小流域的高分辨率测量更加感兴趣。然而,X波段雷达的缺点是在大量降雨中电磁信号的严重衰减,这会影响雷达观测并在降雨估算中引入误差。偏振气象雷达的主要优点是它具有发送和接收水平和垂直极化的能力。除水平反射率(ZH)之外,此功能还引入了两个雷达测量。这些是差分反射率(ZDR),它是水平(H)偏振与垂直(V)偏振之比,以及差分相移(phiDP),它是H和V偏振信号之间的相位差。此附加信息有助于提高衰减校正的(雅典国家X波段极化观测站)XPOL与从(NCAR S波段极化雷达得出的)非衰减ZH和ZDR X波段参数之间的相关性(r 2> 0.95) )S-Pol。误差统计数据表明,与其他方法和轴向比率模型相比,具有最小系统误差的所选算法在大于10 dB(2.5 dB)的路径积分衰减(差分PIA)值处收敛至10%(50%)以下。总体而言,在估计特定和差分衰减参数时的组合不确定性分别约为28%(ZH)和38%(ZDR)。本文的第一部分着重于开发一种校正雨径衰减的算法。本论文的第二部分描述了一种通过衰减校正雷达测量值估算液滴尺寸分布(DSD)的方法。针对X波段雷达极化观测,开发了两种估计三参数“归一化”伽马DSD模型的算法,并将其与S-Pol雷达和测距仪频谱观测进行了比较。之所以这样命名,是因为mu-Λ的关系受到限制,而之所以称为“β”β,是因为估计了墨滴的平均轴比。通过对雷达测速仪频谱观测值的统计分析和比较以及S-Pol DSD检索,发现β方法引入了使用KDP带来的误差,而约束方法在低雨量和高雨量下均表现良好,并且相对准确检索DSD参数。误差统计数据表明,β方法在NW和mu中引入了另外20%和30%的误差,而对于D 0的估计,两种算法的性能相似。

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