Global Precipitation Measuring Dual-Frequency Precipitation Radar Observations of Hailstorm Vertical Structure: Current Capabilities and Drawbacks

Global Precipitation Measuring Dual-Frequency Precipitation Radar Observations of Hailstorm Vertical Structure: Current Capabilities and Drawbacks
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全球降水测量双频降水雷达冰雹垂直结构观测:目前的能力和缺点

DOI:
10.1175/jamc-d-18-0020.1
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发表时间:
2018
影响因子:
3
通讯作者:
Mroz K
Mroz K
中科院分区:
地球科学3区
文献类型:
--
作者:
Mroz K

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对全球降水测量双频降水雷达和地面下一代天气雷达网络对美国大陆800多个冰雹的同时观测进行了统计分析。几个显着的特点DPR测量冰雹轴承列,可能利用水凝物分类算法,确定。特别是Ka波段反射率峰值的高度和强度与仪器视场内的雹轴面积有很强的关系。多重散射(MS)在Ka波段的签名观察到一系列的镶边粒子,包括但不限于冰雹。MS放大了有效Ka反射率估计的不确定性,并对地面双频降雨反演的准确性产生负面影响。对流单体的水凝物成分在DPR FOV内呈现出很大的不均匀性。强非均匀波束填充(NUBF)在Ku和Ka波段的衰减校正中引入了很大的模糊性,这另外妨碍了定量反演。受MS影响的轮廓的有效检测是一项非常具有挑战性的任务,因为DPR FOV内的不均匀性可能导致看起来非常像MS签名的测量。的DPR反射率分布的形状是复杂的相互作用的结果之间的散射特性的不同的水凝物,NUBF,MS的影响,这显着降低了能力的DPR系统检测冰雹在地面上。
A statistical analysis of simultaneous observations of more than 800 hailstorms over the continental United States performed by the Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) and the ground-based Next Generation Weather Radar (NEXRAD) network has been carried out. Several distinctive features of DPR measurements of hail-bearing columns, potentially exploitable by hydrometeor classification algorithms, are identified. In particular, the height and the strength of the Ka-band reflectivity peak show a strong relationship with the hail shaft area within the instrument field of view (FOV). Signatures of multiple scattering (MS) at the Ka band are observed for a range of rimed particles, including but not exclusively for hail. MS amplifies uncertainty in the effective Ka reflectivity estimate and has a negative impact on the accuracy of dual-frequency rainfall retrievals at the ground. The hydrometeor composition of convective cells presents a large inhomogeneity within the DPR FOV. Strong nonuniform beamfilling (NUBF) introduces large ambiguities in the attenuation correction at Ku and Ka bands, which additionally hamper quantitative retrievals. The effective detection of profiles affected by MS is a very challenging task, since the inhomogeneity within the DPR FOV may result in measurements that look remarkably like MS signatures. The shape of the DPR reflectivity profiles is the result of the complex interplay between the scattering properties of the different hydrometeors, NUBF, and MS effects, which significantly reduces the ability of the DPR system to detect hail at the ground.
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