Investigating temporal characteristics of polarimetric and electrical signatures in three severe storms: Insights from the VORTEX-Southeast field campaign

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Milind Sharma, R. Tanamachi, Eric C. Bruning
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引用次数: 0

Abstract

The dual-polarization radar characteristics of severe storms are commonly used as indicators to estimate the size and intensity of deep convective updrafts. In this study, we track rapid fluctuations in updraft intensity and size by objectively identifying polarimetric fingerprints such as ZDR and KDP columns, which serve as proxies for mixed-phase updraft strength. We quantify the volume of ZDR and KDP columns to evaluate their utility in diagnosing temporal variability in lightning flash characteristics. Specifically, we analyze three severe storms that developed in environments with low-to-moderate instability and strong 0–6 km wind shear in northern Alabama during the 2016-17 VORTEX-Southeast field campaign. In these three cases (a tornadic supercell embedded in stratiform precipitation, a nontornadic supercell, and a supercell embedded within a quasi-linear convective system), we find that the volume of the KDP columns exhibits a stronger correlation with the total flash rate . The higher covariability of KDP column volume with total flash rate suggests that the overall electrification and precipitation microphysics was dominated by cold cloud processes. The lower covariability with ZDR column volume indicates the presence of nonsteady updrafts or a less prominent role of warm rain processes in graupel growth and subsequent electrification. Furthermore, we observe that the majority of cloud-to-ground (CG) lightning strikes carried negative charge to the ground. In contrast to findings from a tornadic supercell over the Great Plains, lightning flash initiations in the Alabama storms primarily occurred outside the footprint of the ZDR and KDP column objects.
调查三次强风暴中极坐标和电特征的时间特性:VORTEX-Southeast 实地考察活动的启示
强风暴的双极化雷达特征通常被用作估计深层对流上升气流大小和强度的指标。在本研究中,我们通过客观识别极化指纹(如 ZDR 和 KDP 柱)来跟踪上升气流强度和大小的快速波动,这些极化指纹可作为混合相上升气流强度的代用指标。我们对 ZDR 和 KDP 柱的体积进行量化,以评估它们在诊断闪电特征的时间变化方面的效用。具体来说,我们分析了 2016-17 年 VORTEX-Southeast 实地活动期间阿拉巴马州北部在中低不稳定性和 0-6 km 强风切变环境下发展起来的三个严重风暴。在这三种情况下(嵌入层状降水的龙卷风级超级暴风、非龙卷风级超级暴风和嵌入准线性对流系统的超级暴风),我们发现 KDP 柱的体积与总闪光率具有更强的相关性。KDP 柱体积与总闪光率的较高共变性表明,整体电气化和降水微物理过程主要由冷云过程主导。与 ZDR 柱体积的共变关系较小,表明存在非稳定上升气流,或者暖雨过程在石榴石生长和随后的电化过程中的作用不太突出。此外,我们还观察到,大多数云对地(CG)闪电击中地面时都携带负电荷。与大平原上空的龙卷风超级暴风中的发现相反,阿拉巴马州暴风雨中的闪电闪击主要发生在 ZDR 和 KDP 柱状物体的足迹之外。
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来源期刊
Monthly Weather Review
Monthly Weather Review 地学-气象与大气科学
CiteScore
6.40
自引率
12.50%
发文量
186
审稿时长
3-6 weeks
期刊介绍: Monthly Weather Review (MWR) (ISSN: 0027-0644; eISSN: 1520-0493) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This research includes numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments. MWR also addresses phenomena having seasonal and subseasonal time scales.
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