Articles | Volume 7, issue 1
https://doi.org/10.5194/wcd-7-523-2026
https://doi.org/10.5194/wcd-7-523-2026
Research article
 | 
24 Mar 2026
Research article |  | 24 Mar 2026

Dynamic forcing behind Hurricane Lidia's rapid intensification

Mauricio López-Reyes, María Luisa Martín, Carlos Calvo-Sancho, and Juan Jesús González-Alemán

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-3109', Anonymous Referee #1, 17 Oct 2025
  • RC2: 'Comment on egusphere-2025-3109', Anonymous Referee #2, 01 Nov 2025
  • AC1: 'Comment on egusphere-2025-3109', Carlos Calvo-Sancho, 29 Nov 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Carlos Calvo-Sancho on behalf of the Authors (29 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Dec 2025) by Michael Riemer
RR by Anonymous Referee #1 (19 Jan 2026)
ED: Publish subject to revisions (further review by editor and referees) (29 Jan 2026) by Michael Riemer
AR by Carlos Calvo-Sancho on behalf of the Authors (30 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Feb 2026) by Michael Riemer
RR by Anonymous Referee #1 (03 Mar 2026)
ED: Publish as is (08 Mar 2026) by Michael Riemer
AR by Carlos Calvo-Sancho on behalf of the Authors (10 Mar 2026)  Manuscript 
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Short summary
This study reveals that Hurricane Lidia's rapid intensification in the northeastern Pacific was triggered by its interaction with a mid-to-upper-level trough. Using ensemble forecasts, we show that this trough enhanced synoptic-scale ascent and upper-level divergence over the storm. These dynamic forcings preceded the rapid intensification (RI) onset, demonstrating that early dynamical triggers are crucial for anticipating explosive hurricane growth and offer a valuable forecasting tool in data-sparse areas.
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