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Remote Interactions between tropical cyclones: The case of Hurricane Michael and Leslie’s high predictability uncertainty
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dc.contributor.authorLópez Reyes, M.es_ES
dc.contributor.authorGonzález-Alemán, Juan Jesúses_ES
dc.contributor.authorCalvo Sancho, Carloses_ES
dc.contributor.authorBolgiani, Pedroes_ES
dc.contributor.authorSastre, Marianoes_ES
dc.contributor.authorMartín, María Luisaes_ES
dc.date.accessioned2024-10-07T06:57:47Z-
dc.date.available2024-10-07T06:57:47Z-
dc.date.issued2024-
dc.identifier.citationAtmospheric Research. 2024, 311, 107697es_ES
dc.identifier.issn0169-8095-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/16254-
dc.description.abstractThe study explores Hurricane Michael’s impact on Hurricane Leslie’s trajectory predictability using ECMWF and NCEP ensemble systems. A clustering method focused on tropical cyclones is used to identify potential paths for Leslie: Cluster 1 accurately predicted Leslie’s direction towards the Iberian Peninsula, whereas Clusters 2 and 3 indicated a southern recurve near the Canary Islands. Analysis of potential vorticity and irrotational wind at upper levels showed a significant interaction between Michael, ridge, and trough across the jet stream from +12 h after initialization. Cluster 1 showed a stronger Michael promoting upper-level wind divergence greatest, modifying the jet stream configuration around the ridge and downstream. Alterations in the jet stream’s configuration, functioning as a waveguide, propagated downstream, guiding Leslie towards the Iberian Peninsula. Clusters 2 and 3 indicated the trough’s failure to incorporate Leslie, resulting in a recurve of the trajectory around the Azores anticyclone. This research enhances comprehension of the interaction between two tropical cyclones via synoptic Rossby wave flow. Moreover, the conceptual framework can aid operational meteorologists in identifying the sources of uncertainty, particularly in track forecasts under synoptic conditions analogous to those examined in this study.es_ES
dc.description.sponsorshipThis work was partially supported by the research project PID2019-105306RB-I00/AEI/ 10.13039/501100011033 (IBERCANES), and the two ECMWF Special Projects (SPESMART and SPESVALE). Mauricio López-Reyes extends his sincere gratitude to Professor Héctor Ulloa-Godínez from the Institute of Astronomy and Meteorology at the University of Guadalajara for his invaluable support. He also acknowledges Instituto Frontera A.C. for their partial funding of this work. C. Calvo-Sancho acknowledges the grant awarded by the Spanish Ministry of Science and Innovation - FPI Program (PRE2020-092343).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectEnsemble predictiones_ES
dc.subjectTropical cyclonees_ES
dc.subjectUncertaintyes_ES
dc.subjectAtmospheric interactionses_ES
dc.subjectClusteringes_ES
dc.titleRemote Interactions between tropical cyclones: The case of Hurricane Michael and Leslie’s high predictability uncertaintyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.atmosres.2024.107697es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2023-2026


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