Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2443-2023
https://doi.org/10.5194/nhess-23-2443-2023
Brief communication
 | 
11 Jul 2023
Brief communication |  | 11 Jul 2023

Brief communication: Towards a universal formula for the probability of tornadoes

Roberto Ingrosso, Piero Lionello, Mario Marcello Miglietta, and Gianfausto Salvadori

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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 nhess-2023-19', Anonymous Referee #1, 24 Feb 2023
    • AC1: 'Reply on RC1', Roberto Ingrosso, 17 Apr 2023
  • RC2: 'Comment on nhess-2023-19', Anonymous Referee #2, 20 Mar 2023
    • AC2: 'Reply on RC2', Roberto Ingrosso, 17 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (11 May 2023) by Maria-Carmen Llasat
AR by Roberto Ingrosso on behalf of the Authors (19 May 2023)  Author's response   Author's tracked changes 
EF by Sarah Buchmann (23 May 2023)  Manuscript 
ED: Publish as is (01 Jun 2023) by Maria-Carmen Llasat
AR by Roberto Ingrosso on behalf of the Authors (07 Jun 2023)  Manuscript 
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Short summary
Tornadoes represent disruptive and dangerous weather events. The prediction of these small-scale phenomena depends on the resolution of present weather forecast and climatic projections. This work discusses the occurrence of tornadoes in terms of atmospheric variables and provides analytical expressions for their conditional probability. These formulas represent a tool for tornado alert systems and for estimating the future evolution of tornado frequency and intensity in climate projections.
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