Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/16254
Remote Interactions between tropical cyclones: The case of Hurricane Michael and Leslie’s high predictability uncertainty
Title: Remote Interactions between tropical cyclones: The case of Hurricane Michael and Leslie’s high predictability uncertainty
Authors: López Reyes, M.González-Alemán, Juan Jesús ORCID RESEARCHERID SCOPUSID Autor AEMETCalvo Sancho, CarlosBolgiani, PedroSastre, MarianoMartín, María Luisa
Keywords: Ensemble prediction; Tropical cyclone; Uncertainty; Atmospheric interactions; Clustering
Issue Date: 2024
Publisher: Elsevier
Citation: Atmospheric Research. 2024, 311, 107697
Publisher version: https://doi.org/10.1016/j.atmosres.2024.107697
Abstract: The 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.
Sponsorship : This 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).
URI: http://hdl.handle.net/20.500.11765/16254
ISSN: 0169-8095
Appears in Collections:Artículos científicos 2023-2026


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