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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Automated determination of auroral breakup during the substorm expansion phase using all-sky imager data
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Automated determination of auroral breakup during the substorm expansion phase using all-sky imager data

机译:自动化的极光期间分手的决心使用次全天成像仪亚暴扩张阶段数据

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摘要

This paper describes a novel method for quantitatively and routinely identifying auroral breakup following substorm onset using the Time History of Events and Macroscale Interactions during Substorms all-sky imagers. Substorm onset is characterized by a brightening of the aurora that is followed by auroral poleward expansion and auroral breakup. This breakup can be identified by a sharp increase in the auroral intensity i(t) and the time derivative of auroral intensity i(t). Utilizing both i(t) and i’(t), we have developed an algorithm for identifying the time interval and spatial location of auroral breakup during the substorm expansion phase based solely on quantifiable characteristics of the optical auroral emissions. We compare the time interval determined by the algorithm to independently identified auroral onset times from three previously published studies. In each case the time interval determined by the algorithm is within error of the onset independently identified by the prior studies. We further show the utility of the algorithm by comparing the breakup intervals determined using the automated algorithm to an independent list of substorm onset times. We demonstrate that 50% of the breakup intervals characterized by the algorithm are within the uncertainty of the times identified in the list. The quantitative description and routine identification of an interval of auroral brightening during the substorm expansion phase provides a foundation for unbiased statistical analysis of the aurora and to probe the physics of the auroral substorm and identify the processes leading to auroral substorm onset.
机译:本文描述了一种新颖的方法定量和常规识别极光分手后亚暴开始使用时间的历史事件和宏观尺度相互作用在亚暴的全天成像系统。特点是极光的光明吗这是紧随其后的是极光逐步扩大的区域和极光分手。被大幅增加极光我(t)和强度的时间导数极光强度(t)。已经开发出一种算法识别时间间隔和空间位置的极光分手在亚暴扩张阶段完全量化的特点光学极光排放。间隔由算法决定从独立确定极光出现倍三个先前发表的研究。的时间间隔由算法决定独立在错误的开始之前的研究确定。通过比较实用的算法分手的时间间隔确定使用自动化算法一个独立的亚暴的列表发病时间。分手的时间间隔为特征的算法在时代的不确定性吗确认列表中。描述和常规的识别间隔的极光照明亚暴扩张阶段提供了一个基础极光的无偏统计分析和探测器的物理极光亚暴和识别过程导致极光亚暴爆发。

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