Tracking the Centre of Asymmetric Vortices Using Wind Velocity Vector Data Fields

Tracking the Centre of Asymmetric Vortices Using Wind Velocity Vector Data Fields
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DOI:
10.1007/s10546-022-00739-0
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发表时间:
2022-09
影响因子:
4.3
通讯作者:
Niall Bannigan;Leigh Orf;E. Savory
Niall Bannigan;Leigh Orf;E. Savory
中科院分区:
地球科学3区
文献类型:
--
作者:
Niall Bannigan;Leigh Orf;E. Savory

文献摘要

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龙卷风是世界上许多地区的主要灾害,因此有必要对其进行分析。然而,这种分析首先需要准确地跟踪它们。目前,在处理风场数据集以定位可识别为龙卷风中心线的一系列点时,可用的涡流检测方法中存在差距。这项研究提出了一种新的解决方案,纠正了以前的尝试,以确定涡中心时,适用于龙卷风风场,否则会导致识别仅仅是涡的区域,几个潜在的中心需要后处理,或错误地近似龙卷风中心的不足之处。此外,该方法将处理时间和空间风速矢量分布的大型数据集所需的效率与可靠地计算作为龙卷风中心的特定线所需的精度相结合。这种方法进行了比较,以评估:(a)如何准确地识别中心区域,(B)他们如何处理无关的涡流是不感兴趣的,和(c)他们的计算效率在处理风场数据集。利用所提出的方法,可以绘制龙卷风从形成到消散的路径,并进行分析,以了解该路径的涡流特性,而不需要大量的用户干预。
Tornados are a major hazard in many regions around the world and as such it is necessary to analyze them. However, such analyses require accurately tracking them first. Currently, there are gaps in the available vortex detection methods when processing a wind-field dataset to locate a series of points that are identifiable as the tornado centreline. This study proposes a novel solution that corrects for deficiencies in previous attempts to identify vortex centres when applied to tornado wind-fields, which would have otherwise led to identifying merely the region of the vortex, several potential centres requiring post-processing, or erroneously approximating the tornado centre. Additionally, this method combines the efficiency required to process large datasets of temporal and spatial wind velocity vector distributions with the accuracy needed to reliably calculate a specific line as a tornado centre. This method is compared to five other approaches commonly used for vortex identification in order to assess: (a) how accurately they identify the centre region, (b) how they handle extraneous vortices that are not of interest, and (c) their computational efficiency in processing a wind-field dataset. With the proposed method, it would be possible to plot a tornado path from formation to dissipation and perform analyses to understand the vortex characteristics with respect to this path without requiring extensive user-intervention.