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Use of lightning data for nowcasting.
Arnoštová, Michaela ; Žák, Michal (advisor) ; Bednář, Jan (referee)
Advances in lightning detection systems and convective storm analysis techniques are im- proving our understanding of their correlation. This has been the focus of many studies in re- cent decades, and it has been shown that a sudden increase in lightning, the so-called lightning jump, often precedes the occurrence of severe weather. Based on these findings, 2σ algorithm was developed to assess the occurrence of severe weather, which this thesis builds on. The aim of this thesis was first to perform data analysis of lightning data in convective storms and then, based on the obtained results and by setting an appropriate configuration, to increase not only the success rate of the 2σ algorithm, but also to design its extension part determining the specific type of severe weather that can occur in the storm. For this purpose, 72 convective storms over central Europe were studied from 4 categories - storms without severe weather, storms with hail, with severe wind or with tornadoes. Trends in the density, height and current amplitude of each type of lightning before the onset of specific severe weather were investi- gated, and it turned out that some of these parameters show different behaviour in different storm categories. Therefore, based on the data analysis of these lightning activity parameters, an...
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