首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Seasonal variations of global lightning activityextracted from Schumann resonances using a geneticalgorithm method
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Seasonal variations of global lightning activityextracted from Schumann resonances using a geneticalgorithm method

机译:使用遗传算法从舒曼共振中提取全球闪电活动的季节性变化

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摘要

A three-dimensional Finite Difference Time Domain (FDTD) model of the Earth-ionosphere cavity with a realistic conductivity profile is employed to study the globallightning activity using the observed intensity variations of Schumann resonances (SR). Comparison of the results derived from our FDTD model and the previous studiesby other authors on. related subjects shows that Schumann resonance is a good probeto indicate the seasonal variations of lightning activity in three main thunderstorm regions(Africa, southeast Asia, and South America). An inverse method based on geneticalgorithms is developed to extract information on lightning intensity in these three regionsfrom observed SR intensity data. Seasonal variations of the lightning activity in threethunderstorm centers'are clearly observed in our results. Different SR frequency variationsassociated with seasonal variations of global lighting activity are also discussed.
机译:具有实际电导率轮廓的地球电离层空腔的三维有限差分时域(FDTD)模型用于利用观察到的舒曼共振(SR)强度变化研究全局闪电活动。从我们的FDTD模型得出的结果与其他作者先前的研究结果进行比较。相关主题表明,舒曼共振是指示三个主要雷暴区域(非洲,东南亚和南美)闪电活动季节性变化的良好探测器。开发了一种基于遗传算法的逆方法,从观测到的SR强度数据中提取这三个区域的闪电强度信息。在我们的结果中清楚地观察到了第三次雷暴中心闪电活动的季节性变化。还讨论了与全球照明活动的季节性变化相关的不同SR频率变化。

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