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Audiovisual . 2019
License: CC BY
Data sources: Datacite
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Audiovisual . 2019
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Self-organized transport model of spark discharge development and its application to the process of lightning initiation in a thundercloud

Authors: Aleksey Bulatov; Dmitriy Iudin; Artem Syssoev;

Self-organized transport model of spark discharge development and its application to the process of lightning initiation in a thundercloud

Abstract

This video visualizes results obtained by a small-scale transport model of electrical discharge formation in a thundercloud. The model discharge tree is a dynamic graph, nodes and edges of which are capacitive and conductive elements, respectively, electrical parameters of which vary with time. In the framework of the used approach, a heated well-conducting lightning leader channel is formed by combining the currents of tens of thousands of streamers, each of which initially has a negligible conductivity and a temperature, which does not differ from the ambient value. The model leader has electrical characteristics, which are intermediate between the laboratory long spark and the developed lightning channel, which is expected for an “immature” lightning leader.

Source code of the model is avaliable at https://github.com/DAlexis/self-organizing-transport-model

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Keywords

lightning modelling

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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