Articles | Volume 17, issue 4
https://doi.org/10.5194/tc-17-1645-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1645-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2023
Research article |
| 14 Apr 2023
| 14 Apr 2023
Uncertainty analysis of single- and multiple-size-class frazil ice models
Fabien Souillé
CORRESPONDING AUTHOR
National Laboratory for Hydraulics and Environment (LNHE), EDF R & D, 6 Quai Watier, 78400 Chatou, France
Cédric Goeury
National Laboratory for Hydraulics and Environment (LNHE), EDF R & D, 6 Quai Watier, 78400 Chatou, France
Rem-Sophia Mouradi
Fluid Dynamics, Energy and Environment Department (MFEE), EDF R & D, 6 Quai Watier, 78400 Chatou, France
CEREA (Centre d'Enseignement et de Recherche en Environnement Atmosphérique), Joint Laboratory between École des Ponts ParisTech and EDF R & D, Université Paris-Est, 77455 Marne-la-Vallée, France
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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.
Models that can predict temperature and ice crystal formation (frazil) in water are important...
