4.6 Article

Analyzing lightning characteristics in central and southern South America

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ELECTRIC POWER SYSTEMS RESEARCH
卷 213, 期 -, 页码 -

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ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2022.108704

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Lightning; Thunderstorms

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This study analyzes the geographic variation of lightning characteristics using data from the Earth Networks Total Lightning Network. The results show significant differences in lightning characteristics in different regions, such as higher average peak current in Northern Argentina and a localized minimum in a specific region North of S??o Paulo, Brazil. The study also observes a higher proportion of positive cloud-to-ground lightning in Central and Northern Argentina compared to conventional thunderstorms.
Lightning data has become an integral part of weather observation and has been shown to be an effective tool for alerting and nowcasting. The Earth Networks Total Lightning Network (ENTLN) is a global lightning detection network established in 2009. ENTLN consists of roughly 1800 broadband electric field sensors globally that detect intra-cloud (IC) and cloud-to-ground (CG) lightning, with over 140 sensors in South America. In this study, we analyze the geographical variation of lightning characteristics such as density, peak current, and polarity, with the goal of better understanding the meteorological processes that produce these thunderstorms. Results indicate significant variation in average peak current per flash, with a maximum occurring throughout Northern Argentina, and a localized strong minimum North of S??o Paulo, Brazil. This minimum is coincident with a region dominated by negative IC flashes. In Central and Northern Argentina, 40%???50% of CG flashes were observed to be positive. Conventional thunderstorms typically have around 10% positive CG flashes. The large-scale patterns observed in this study support the findings of previous case studies regarding inverted polarity storms, mesoscale convective systems, and transient luminous event production, most of which had more limited scopes.

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