Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/10976
Lightning probability forecast in Mainland Portugal
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dc.contributor.authorRio, Joaoes_ES
dc.contributor.authorCorreia, Sandraes_ES
dc.contributor.authorLopes, Manueles_ES
dc.date.accessioned2019-12-05T15:36:40Z-
dc.date.available2019-12-05T15:36:40Z-
dc.date.issued2019-
dc.identifier.citationSexto Simposio Nacional de Predicción, Memorial Antonio Mestre. Madrid: Agencia Estatal de Meteorología, 2019, p. 199-200es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.11765/10976-
dc.descriptionPonencia presentada en: VI Simposio Nacional de Predicción, celebrado en los servicios centrales de AEMET, en Madrid, del 17 al 19 de septiembre de 2018.es_ES
dc.description.abstractThe lightning probability forecast at IPMA is obtained using a logistic regression model. Four stability indices, computed from ECMWF forecasts are used as predictors. The probability forecasts are available up to 6 days, in 6 hour periods and are computed only for Mainland Portugal. Thunderstorms are among the weather events that may cause local severe damage and disruption to the power-grid network, telecommunications and air traffic, hence forecasting the areas where lightning may occur is of major importance.es_ES
dc.language.isoenges_ES
dc.publisherAgencia Estatal de Meteorologíaes_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectLightning probabilityes_ES
dc.subjectECMWF forecastes_ES
dc.subjectStability indiceses_ES
dc.subjectLogistic regressiones_ES
dc.titleLightning probability forecast in Mainland Portugales_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherversionhttps://dx.doi.org/10.31978/639-19-010-0.199es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:6º Simposio Nacional de Predicción (2018)


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