Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1349-2026
https://doi.org/10.5194/wcd-7-1349-2026
Research article
 | 
28 Jul 2026
Research article |  | 28 Jul 2026

Seasonal prediction of springtime tornado activity in the United States using a hybrid model

Matthew Graber, Zhuo Wang, and Robert J. Trapp

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Matthew Graber on behalf of the Authors (28 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Apr 2026) by Amy Butler
RR by Anonymous Referee #2 (12 May 2026)
RR by Anonymous Referee #1 (25 May 2026)
ED: Publish subject to revisions (further review by editor and referees) (26 May 2026) by Amy Butler
AR by Matthew Graber on behalf of the Authors (09 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Jun 2026) by Amy Butler
RR by Anonymous Referee #2 (03 Jul 2026)
RR by Anonymous Referee #1 (09 Jul 2026)
ED: Publish subject to minor revisions (review by editor) (10 Jul 2026) by Amy Butler
AR by Matthew Graber on behalf of the Authors (16 Jul 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Jul 2026) by Amy Butler
AR by Matthew Graber on behalf of the Authors (19 Jul 2026)
Short summary
This study aims to seasonally predict springtime tornado activity using a weather-regime-based hybrid model and to identify the physical sources of predictability to explain the results. Tornado outbreaks, days with several tornadoes, exhibit model skill and should be a primary focus of future work given their societal impacts. Low-frequency climate modes are important sources of predictability for weather regimes, providing forecasts of opportunity for springtime tornado outbreaks.
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