An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign
An Improved Dual-Polarization Radar Rainfall Algorithm (DROPS2.0): Application in NASA IFloodS Field Campaign
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DOI：
10.1175/jhm-d-16-0124.1
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发表时间：
2017-03
影响因子：
3.8
通讯作者：
Haonan Chen;V. Chandrasekar;R. Bechini
中科院分区：
文献类型：
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作者：
Haonan Chen;V. Chandrasekar;R. Bechini
摘要与传统的单极化雷达相比，双极化雷达在定量估算降水方面具有许多优势，因为它可以收集到更多关于雨滴尺寸分布和水流星类型的信息。本文提出了一种改进的双极化降雨方法，该方法是由基于区域的水流星分类机制驱动的。这项研究的目的是将双偏振观测值的空间一致性和自聚集性纳入水流星分类，并为业务应用提供可靠的降雨量估计。利用美国国家航空航天局极化雷达在爱荷华州GPM洪水研究(IFLODS)地面验证活动期间收集的S波段双极化数据，对所提出的降雨算法进行了验证和评估。结果表明，改进的降雨法比以往研究中的几种单极化和双极化算法具有更好的性能。本文还探讨了……
AbstractCompared to traditional single-polarization radar, dual-polarization radar has a number of advantages for quantitative precipitation estimation because more information about the drop size distribution and hydrometeor type can be gleaned. In this paper, an improved dual-polarization rainfall methodology is proposed, which is driven by a region-based hydrometeor classification mechanism. The objective of this study is to incorporate the spatial coherence and self-aggregation of dual-polarization observables in hydrometeor classification and to produce robust rainfall estimates for operational applications. The S-band dual-polarization data collected from the NASA Polarimetric (NPOL) radar during the GPM Iowa Flood Studies (IFloodS) ground validation field campaign are used to demonstrate and evaluate the proposed rainfall algorithm. Results show that the improved rainfall method provides better performance than a few single- and dual-polarization algorithms in previous studies. This paper also inve...