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Three years of lightning impulse charge moment change measurements in the United States from ELF observations

机译:三年的闪电冲动充电时刻从精灵观察中改变了美国的测量

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Automated and geographically extensive remote measurements of lightning parameters are a valuable class of tool in lightning research and understanding of the background electromagnetic noise environment. The most widely estimated parameter, aside from location and polarity, is return stroke peak current, which can be remotely estimated from the low frequency radiation [1] from lightning. Another parameter that can be measured from electromagnetic fields long distances from the lightning stroke is charge moment change (CMC), which is the product of charge transfer and the vertical distance over which that charge is transferred (and thus the units are coulomb-kilometers or C km). CMC can be remotely estimated from extremely low frequency (ELF, 3–3000 Hz) radiation [2-5], and has proven important for understanding the origins of lightning-driven high altitude electric breakdown in the form of sprites [6], is linked to heating and damage at a lightning contact point [7], and may also be connected to forest fire ignition [8]. Here we report and analyze multiple years of measurements from an automated, real time lightning Charge Moment Change network (CMCN). The CMCN combines U.S. National Lightning Detection Network (NLDN) lightning event geolocations with extremely low frequency (<1 kHz) data from two stations to provide iCMC measurements across the entire United States. About 5 million lightning events per year are measured by the CMCN. We present the statistical distributions of iCMC versus polarity, including corrections for the detection efficiency of the CMCN versus peak current. For all positive strokes, there is a boundary near 20 C km that separates seemingly distinct populations of high and low iCMC strokes. We also explore the geographic distribution of high iCMC lightning strokes. High iCMC positive strokes occur predominantly in the northern midwest portion of the U.S., with a secondary peak over the gulf stream region just off the U.S. eas- coast. High iCMC negative strokes are also clustered in the midwest, although somewhat south of most of the high iCMC positive strokes. Among other applications, this network is useful for the nowcasting of sprite-producing storms and storm regions. The presented results summarize and extend those described by Cummer et al. [9].
机译:自动化和地理上广泛的闪电参数的远程测量是闪电研究和对背景电磁噪声环境的理解的有价值的工具。除了位置和极性之外,估计最广泛的参数是返回行程峰值电流,可以从闪电从低频辐射[1]远程估计。可以从闪电行程的电磁场中长距离测量的另一个参数是电荷力矩变化(CMC),其是电荷转移的乘积和传送电荷的垂直距离(因此单位是Coulomb千克或者C km)。 CMC可以从极低的频率(ELF,3-3000 Hz)辐射[2-5]远程估计,并且证明是为了理解精灵形式的闪电驱动的高空电击的起源[6],是与闪电接触点的加热和损坏有关[7],也可以连接到森林火灾点火[8]。在这里,我们从自动化的实时闪电时刻更改网络(CMCN)报告并分析多年的测量。 CMCN将U.S.全国闪电检测网络(NLDN)闪电事件Geologations与来自两个站的极低频率(<1 kHz)数据相结合,以提供整个美国的ICMC测量。每年约有500万闪电活动由CMCN衡量。我们介绍了ICMC与极性的统计分布,包括CMCN与峰值电流的检测效率的校正。对于所有阳性抚摸,有20千克的边界,可以将看似独角的高低ICMC中风中的群体分开。我们还探讨了高ICMC雷击的地理分布。高ICMC阳性冲程主要在美国北部的中西部部分发生,在美国海岸的海湾流区域上具有二次峰。高ICMC阴性冲程也在中西部聚集,虽然大多数高ICMC阳性笔画略有左右。在其他应用程序中,该网络对于产生的杉木产生风暴和雨尘区的垂钓非常有用。所提出的结果总结并扩展了Cummer等人所述的那些。 [9]。

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