Comparing Polarimetric Signatures of Proximate Pretornadic and Non-Tornadic Supercells in Similar Environments

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-08-11 DOI:10.1175/waf-d-23-0013.1
Devon J. Healey, Matthew S. Van Den Broeke
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引用次数: 1

Abstract

While prior research has shown that characteristics of the supercell environment can indicate the likelihood of tornadogenesis, it is common for tornadic and non-tornadic supercells to coexist in seemingly similar environments. Thus, some small-scale factors must support tornadogenesis in some supercells and not in others. In this study we examined polarimetric radar signatures of proximate pretornadic and non-tornadic supercells in seemingly similar environments to determine if these radar signatures can indicate which proximate supercells are pretornadic and which are non-tornadic. We gathered a collection of proximity supercell groups and developed a method to quantify environmental similarity between storms. Using this method, we selected pretornadic – non-tornadic supercell pairs in close proximity in space and time having the most similar environments. These pairs were run through an automated tracking algorithm which quantifies polarimetric signatures in each supercell. Supercells with larger differential reflectivity (ZDR) column areas were more likely to become tornadic within the next 30 minutes compared to neighboring supercells with smaller ZDR column areas. In about two-thirds of pairs, the pretornadic supercell had a larger ZDR column area than the non-tornadic supercell prior to its maximum low-level rotation, which is consistent with much prior work. ZDR arcs could not discriminate between pretornadic and non-tornadic supercells, and hailfall area was larger in pretornadic supercells. The separation distance between the specific differential phase (KDP) foot and the ZDR arc was larger in pretornadic supercells yet was a limited result due to the small sample size used for comparison.
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相似环境下近似值龙卷风前超级单体和非龙卷风超级单体的极化特征比较
虽然先前的研究表明,超级单体环境的特征可以表明龙卷风发生的可能性,但龙卷风和非龙卷风超级单体在看似相似的环境中共存是很常见的。因此,一些小规模因素必须支持某些超级单体的龙卷风生成,而不是其他超级单体。在这项研究中,我们在看似相似的环境中检查了邻近的前龙卷风和非龙卷风超级单体的极化雷达特征,以确定这些雷达特征是否可以指示哪些邻近的超级单体是前龙卷风和哪些是非龙卷风。我们收集了一组邻近超级单体群,并开发了一种量化风暴之间环境相似性的方法。使用这种方法,我们选择了在空间和时间上非常接近的具有最相似环境的前龙卷风-非龙卷风超级单体对。这些对是通过一种自动跟踪算法运行的,该算法量化了每个超级单元中的极化特征。与具有较小ZDR柱面积的相邻超级单元相比,具有较大差异反射率(ZDR)柱面积的超级单元更有可能在接下来的30分钟内变成龙卷风。在大约三分之二的对中,在其最大低层旋转之前,前龙卷风超级单体的ZDR柱面积比非龙卷风超级单体大,这与许多先前的工作一致。ZDR弧不能区分前龙卷风和非龙卷风的超级单体,并且冰雹落区在前龙卷风超级单体中较大。特定微分相(KDP)脚和ZDR弧之间的分离距离在前向超晶胞中较大,但由于用于比较的样本量较小,这是一个有限的结果。
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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