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http://hdl.handle.net/20.500.11765/10976
Lightning probability forecast in Mainland Portugal
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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Rio, Joao | es_ES |
dc.contributor.author | Correia, Sandra | es_ES |
dc.contributor.author | Lopes, Manuel | es_ES |
dc.date.accessioned | 2019-12-05T15:36:40Z | - |
dc.date.available | 2019-12-05T15:36:40Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Sexto Simposio Nacional de Predicción, Memorial Antonio Mestre. Madrid: Agencia Estatal de Meteorología, 2019, p. 199-200 | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.11765/10976 | - |
dc.description | Ponencia 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.abstract | The 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.iso | eng | es_ES |
dc.publisher | Agencia Estatal de Meteorología | es_ES |
dc.rights | Licencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-ND | es_ES |
dc.subject | Lightning probability | es_ES |
dc.subject | ECMWF forecast | es_ES |
dc.subject | Stability indices | es_ES |
dc.subject | Logistic regression | es_ES |
dc.title | Lightning probability forecast in Mainland Portugal | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.relation.publisherversion | https://dx.doi.org/10.31978/639-19-010-0.199 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
Colecciones: | 6º Simposio Nacional de Predicción (2018) |
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