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Dynamic forcing behind Hurricane Lidia's rapid intensification
Título : Dynamic forcing behind Hurricane Lidia's rapid intensification
Autor : López Reyes, MauricioMartín, María LuisaCalvo Sancho, CarlosGonzález-Alemán, Juan Jesús ORCID RESEARCHERID SCOPUSID Autor AEMET
Palabras clave : Hurricanes; Rapid intensification; Tropical cyclones; Integrated Forecasting System
Fecha de publicación : 2026
Editor: Copernicus Publications
Citación : Weather and Climate Dynamics. 2026, 7(1), p. 523–545
Versión del editor: https://doi.org/10.5194/wcd-7-523-2026
Resumen : This study examines Hurricane Lidia's rapid intensification (RI) in the understudied northeastern Pacific, focusing on its interaction with an upper-level trough. Using IFS-ECMWF ensemble forecasts and ERA5 reanalysis, we analyze the large-scale dynamical mechanisms driving Lidia's intensification. Results show that the trough played a crucial role in promoting RI by enhancing synoptic-scale ascent, upper-level divergence, and eddy flux convergence. In the higher-intensification ensemble group, a coherent sequence emerged in which enhanced negative Trenberth forcing appeared several hours before RI onset, followed by marked increases in upper-level divergence, cyclonic vorticity advection, and mid-tropospheric moistening. These signals collectively reduced vertical wind shear over the storm and strengthened the upper-level outflow, creating an environment highly conducive to RI. In contrast, the lower-intensification group exhibited weaker forcing, higher shear, and a lack of sustained divergence in upper levels. These findings highlight the importance of diagnosing early dynamical triggers for RI, particularly in regions where operational access to high-resolution models is limited. A conceptual schematic synthesizes these multi-stage processes, highlighting how upper-level dynamical forcing and favorable thermodynamic conditions acted jointly to precondition and then accelerate RI. This approach provides a cost-effective framework for anticipating RI using ensemble-based diagnostics and could serve as a valuable forecasting tool in data-sparse areas such as the Pacific coast of Mexico. Future studies should combine this large-scale methodology with high-resolution simulations to better capture storm-scale processes and validate multi-scale interactions in RI events.
Patrocinador: This research has been supported by the Ministerio de Ciencia e Innovación (grant nos. PID2023-146344OB-I00 and PRE2020-092343) and the European Centre for Medium-Range Weather Forecasts (grant nos. SPESMART and SPESVALE).
URI : http://hdl.handle.net/20.500.11765/17492
ISSN : 2698-4016
Colecciones: Artículos científicos 2023-2026


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