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		<title>Extreme events of lightning in southeastern Brazil</title>
		<year>2015</year>
		<secondarytype>PRE CI</secondarytype>
		<author>Santos, Ana Paula,</author>
		<author>Pinto Junior, Osmar,</author>
		<author>Morais, André Arruda Rodrigues de,</author>
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		<group>CST-CST-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
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		<electronicmailaddress>osmar@dge.inpe.b</electronicmailaddress>
		<electronicmailaddress>andre.morais@inpe.br</electronicmailaddress>
		<conferencename>IUGG General Assembly, 26</conferencename>
		<conferencelocation>Prague, Czech Republic</conferencelocation>
		<date>22 June - 02 July</date>
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		<abstract>The study of lightning is a topic that has gained significant attention in the scientific community. By monitoring the periods of higher flash incidence, it is possible to issue alerts with information about the intensity, duration and severity of the storm, so that preventive measures can be taken in order to minimize the impacts of severe weather phenomena. In this context, the objective of this study was to identify extreme events of lightning that occurred in the state of São Paulo, in Southeastern Brazil, during 2011-2013 and analyze the correlation between intra-cloud and cloud-to-ground lightning in these events. Lightning data used in this study are from the Brazilian lightning detection Network - BrasilDAT. Extreme events were selected using the Method of Percentiles, applied to the data of intra-cloud and cloud-to-ground lightning in 13 (thirteen) cities spatially distributed within the state of São Paulo. We considered the extreme events as those days when the number of both types of discharges were higher than Percentile 98. As a result, we obtain 31 cases, with total lightning occurrence exceeding 10.000. For these events, we found a characteristic intra-cloud to cloud-to-ground ratio that can be used to identify these extreme events.</abstract>
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