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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3,346
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PDF: 942
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Total: 3,346
BibTeX: 157
EndNote: 258
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Cumulative views and downloads
(calculated since 12 Dec 2022)
Total article views: 2,012 (including HTML, PDF, and XML)
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1,610
325
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2,012
87
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HTML: 1,610
PDF: 325
XML: 77
Total: 2,012
BibTeX: 87
EndNote: 133
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Total article views: 1,334 (including HTML, PDF, and XML)
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659
617
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1,334
70
125
HTML: 659
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Total: 1,334
BibTeX: 70
EndNote: 125
Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,346 (including HTML, PDF, and XML)
Thereof 3,260 with geography defined
and 86 with unknown origin.
Total article views: 2,012 (including HTML, PDF, and XML)
Thereof 1,968 with geography defined
and 44 with unknown origin.
Total article views: 1,334 (including HTML, PDF, and XML)
Thereof 1,292 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...