Predicting the potential for lightning activity in mediterranean storms based on the WRF model dynamic and microphysical fields

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RECERCAT Principal > Universitat de Barcelona > Física Quàntica i Astrofísica > Articles publicats en revistes (Física Quàntica i Astrofísica) > Visualizar documento

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dc.contributor	Universitat de Barcelona
dc.contributor.author	Yair, Yoav
dc.contributor.author	Lynn, Barry
dc.contributor.author	Price, Colin
dc.contributor.author	Kotroni, Vassiliki
dc.contributor.author	Lagouvardos, Konstantinos
dc.contributor.author	Morin, Efrat
dc.contributor.author	Mugnai, Alberto
dc.contributor.author	Llasat Botija, María del Carmen
dc.date	2013-11-08T11:46:48Z
dc.date	2013-11-08T11:46:48Z
dc.date	2010
dc.date	2013-11-08T11:46:48Z
dc.identifier.citation	0148-0227
dc.identifier.citation	596959
dc.identifier.uri	http://hdl.handle.net/2445/47612
dc.format	13 p.
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	American Geophysical Union
dc.relation	Reproducció del document publicat a: http://dx.doi.org/10.1029/2008JD010868
dc.relation	Journal of Geophysical Research, 2010, vol. 115, num. D04205, p. 1-13
dc.relation	http://dx.doi.org/10.1029/2008JD010868
dc.rights	(c) American Geophysical Union, 2010
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Llamps
dc.subject	Tempestes
dc.subject	Previsió del temps
dc.subject	Models matemàtics
dc.subject	Mediterrània (Regió)
dc.subject	Lightning
dc.subject	Storms
dc.subject	Weather forecasting
dc.subject	Mathematical models
dc.subject	Mediterranean Region
dc.title	Predicting the potential for lightning activity in mediterranean storms based on the WRF model dynamic and microphysical fields
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	A new parameter is introduced: the lightning potential index (LPI), which is a measure of the potential for charge generation and separation that leads to lightning flashes in convective thunderstorms. The LPI is calculated within the charge separation region of clouds between 0 C and 20 C, where the noninductive mechanism involving collisions of ice and graupel particles in the presence of supercooled water is most effective. As shown in several case studies using the Weather Research and Forecasting (WRF) model with explicit microphysics, the LPI is highly correlated with observed lightning. It is suggested that the LPI may be a useful parameter for predicting lightning as well as a tool for improving weather forecasting of convective storms and heavy rainfall.

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