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对美国东南部龙卷风风暴次声阵列数据的分析。

Analysis of infrasound array data from tornadic storms in the southeastern United States.

作者信息

Waxler Roger, Frazier Wm Garth, Talmadge Carrick L, Liang Bin, Hetzer Claus, Buchanan Hank, Audette William E

机构信息

National Center for Physical Acoustics, The University of Mississippi, University, Mississippi 38677, USA.

Benchtop Engineering LLC, 281 Sweet Pond Road, Guilford, Vermont 05301, USA.

出版信息

J Acoust Soc Am. 2024 Sep 1;156(3):1903-1919. doi: 10.1121/10.0028815.

Abstract

Data recorded by several infrasound sensor arrays deployed in the southeastern United States during the spring of 2018 have been analyzed during a period when a storm front passed through and spawned several tornado touchdowns. The tornadoes ranged from EF-0 to EF-2. Accurate bearings have been obtained, corresponding to tornadoes at ranges up to more than 100 km. Earlier in the day, a convective storm cell passed and triggered a tornado warning but no verified tornado touchdowns. During this earlier passage, a weaker signal was detected with bearings that tracked this convective storm cell. The analyses reveal that on the systems deployed, the dominant band of coherent infrasound measured from the tornadic storms was between 2 and 6 Hz. Atmospheric conditions are known to have a significant influence on signal detection because of propagation effects and local wind noise conditions. Propagation modeling and wind noise analysis were undertaken and are observed to be consistent with signal detection from the tornadoes. Because of the static sources, as well as the multiple strong cells that were in the region simultaneously, it was necessary to use array signal processing methods that are capable of resolving multiple sources.

摘要

2018年春季部署在美国东南部的几个次声传感器阵列所记录的数据,在一场锋面风暴过境并引发多次龙卷风触地的期间进行了分析。这些龙卷风的强度从EF - 0到EF - 2不等。已获得了精确的方位,对应着距离超过100千米处的龙卷风。当天早些时候,一个对流风暴单体经过并触发了龙卷风警报,但没有经证实的龙卷风触地情况。在这个较早的过程中,检测到了一个较弱的信号,其方位跟踪了这个对流风暴单体。分析表明,在所部署的系统上,从龙卷风风暴中测量到的相干次声的主导频段在2至6赫兹之间。由于传播效应和当地风噪声条件,已知大气状况对信号检测有重大影响。进行了传播建模和风噪声分析,观察到它们与龙卷风的信号检测结果一致。由于存在静态源以及该区域同时出现的多个强风暴单体,有必要使用能够分辨多个源的阵列信号处理方法。

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