Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/15176
On the impact of initial conditions in the forecast of Hurricane Leslie extratropical transition
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorLópez Reyes, M.es_ES
dc.contributor.authorGonzález-Alemán, Juan Jesúses_ES
dc.contributor.authorSastre, Marianoes_ES
dc.contributor.authorInsua-Costa, Damiánes_ES
dc.contributor.authorBolgiani, Pedroes_ES
dc.contributor.authorMartín Pérez, María Luisaes_ES
dc.date.accessioned2023-09-26T07:25:20Z-
dc.date.available2023-09-26T07:25:20Z-
dc.date.issued2023-
dc.identifier.citationAtmospheric Research. 2023, 295, 107020es_ES
dc.identifier.issn0169-8095-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/15176-
dc.description.abstractHurricane Leslie (2018) was a non-tropical system that lasted for a long time undergoing several transitions between tropical and extratropical states. Its trajectory was highly uncertain and difficult to predict. Here the extratropical transition of Leslie is simulated using the Model for Prediction Across Scales (MPAS) with two different sets of initial conditions (IC): the operational analysis of the Integrate Forecast System (IFS) and the Global Forecast System (GFS).es_ES
dc.description.sponsorshipThis work was partially supported by the research project PID2019-105306RB-I00/AEI/10.13039/501100011033, and the two ECMWF Special Projects (SPESMART and SPESVALE).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsLicencia CC: Reconocimiento-NoComercial CC BY-NCes_ES
dc.subjectExtratropical transitiones_ES
dc.subjectHurricane Lesliees_ES
dc.subjectInitial conditionses_ES
dc.subjectMPASes_ES
dc.titleOn the impact of initial conditions in the forecast of Hurricane Leslie extratropical transitiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.atmosres.2023.107020es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2023-2026


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
AR_LopezReyes_2023.pdf
12,81 MBAdobe PDFVista previa
Visualizar/Abrir
1-s2.0-S0169809523004...
724,27 kBMicrosoft Word XMLVisualizar/Abrir
Mostrar el registro sencillo del ítem

Mendeley Google Scholar


Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias