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首页> 外文期刊>Journal of hydrometeorology >Evaluation of X-Band Dual-Polarization Radar-Rainfall Estimates from OLYMPEX
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Evaluation of X-Band Dual-Polarization Radar-Rainfall Estimates from OLYMPEX

机译：奥林巴克X频段双极化雷达降雨估算评价

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摘要

The difficulty of representing high rainfall variability over mountainous areas using ground-based sensors is an open problem in hydrometeorology. Observations from locally deployed dual-polarization X-band radar have the advantage of providing multiparameter measurements near ground that carry significant information useful for estimating drop size distribution (DSD) and surface rainfall rate. Although these measurements are at fine spatiotemporal scale and are less inhibited by complex topography than operational radar network observations, uncertainties in their estimates necessitate error characterization based upon in situ measurements. During November 2015-February 2016, a dual-polarized Doppler on Wheels (DOW) X-band radar was deployed on the Olympic Peninsula of Washington State as part of NASA's Olympic Mountain Experiment (OLYMPEX). In this study, rain gauges and disdrometers from a dense network positioned within 40 km of DOW are used to evaluate the self-consistency and accuracy of the attenuation and brightband/vertical profile corrections, and rain microphysics estimation by SCOP-ME, an algorithm that uses optimal parameterization and best-fitted functions of specific attenuation coefficients and DSD parameters with radar polarimetric measurements. In addition, the SCOP-ME precipitation microphysical retrievals of median volume diameter D-0 and normalized intercept parameter N-W are evaluated against corresponding parameters derived from the in situ disdrometer spectra observations.
机译：代表使用地面传感器的山区对山区的高降雨变异性的难度是水文气象的开放问题。本地部署的双极化X波段雷达的观察具有在接地附近提供多次计量测量的优点，该优点是携带用于估计下降尺寸分布（DSD）和表面降雨率的重要信息。虽然这些测量值处于精细的时空尺度，但是由复杂的地形抑制而不是操作雷达网络观察，但其估计中的不确定性需要基于原位测量的误差表征。 2015年11月 - 2016年2月，作为NASA奥林匹克山实验（OLYMPEX）的一部分，在华盛顿州的奥运半岛部署了一台双极化多普勒（Dow）X波段雷达。在本研究中，来自众心数40千米内的密集网络的雨量仪和歧波仪用于评估衰减和亮点/垂直轮廓校正的自我一致性和准确性，以及SCOP-ME的雨微微物理估计，这是一种算法使用具有雷达极化测量的特定衰减系数和DSD参数的最佳参数化和最佳函数。此外，评估中间体积直径D-0和归一化截距参数N-W的SCOP-ME降水微神科检索，并针对来自原位消除仪光谱观察结果的相应参数评估。

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