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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PDF: 964
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Total: 3,445
BibTeX: 164
EndNote: 266
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Cumulative views and downloads
(calculated since 12 Dec 2022)
Total article views: 2,084 (including HTML, PDF, and XML)
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1,662
342
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2,084
93
141
HTML: 1,662
PDF: 342
XML: 80
Total: 2,084
BibTeX: 93
EndNote: 141
Views and downloads (calculated since 14 Apr 2023)
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Total article views: 1,361 (including HTML, PDF, and XML)
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679
622
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1,361
71
125
HTML: 679
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BibTeX: 71
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,445 (including HTML, PDF, and XML)
Thereof 3,354 with geography defined
and 91 with unknown origin.
Total article views: 2,084 (including HTML, PDF, and XML)
Thereof 2,035 with geography defined
and 49 with unknown origin.
Total article views: 1,361 (including HTML, PDF, and XML)
Thereof 1,319 with geography defined
and 42 with unknown origin.
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...