Articles | Volume 17, issue 4
https://doi.org/10.5194/tc-17-1645-2023
https://doi.org/10.5194/tc-17-1645-2023
Research article
 | 
14 Apr 2023
Research article |  | 14 Apr 2023

Uncertainty analysis of single- and multiple-size-class frazil ice models

Fabien Souillé, Cédric Goeury, and Rem-Sophia Mouradi

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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-2022-1162', Mark Loewen, 18 Jan 2023
    • AC1: 'Reply on RC1', Fabien Souillé, 16 Feb 2023
  • RC2: 'Comment on egusphere-2022-1162', David Rees Jones, 06 Feb 2023
    • AC2: 'Reply on RC2', Fabien Souillé, 16 Feb 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) (12 Mar 2023) by Christian Haas
AR by Fabien Souillé on behalf of the Authors (13 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Mar 2023) by Christian Haas
AR by Fabien Souillé on behalf of the Authors (21 Mar 2023)  Manuscript 
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Short summary
Models that can predict temperature and ice crystal formation (frazil) in water are important for river and coastal engineering. Indeed, frazil has direct impact on submerged structures and often precedes the formation of ice cover. In this paper, an uncertainty analysis of two mathematical models that simulate supercooling and frazil is carried out within a probabilistic framework. The presented methodology offers new insight into the models and their parameterization.