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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Total article views: 1,681 (including HTML, PDF, and XML)
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1,315
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1,681
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PDF: 295
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Total: 1,681
BibTeX: 74
EndNote: 118
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Cumulative views and downloads
(calculated since 12 Dec 2022)
Total article views: 1,359 (including HTML, PDF, and XML)
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1,094
209
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1,359
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HTML: 1,094
PDF: 209
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Total: 1,359
BibTeX: 69
EndNote: 114
Views and downloads (calculated since 14 Apr 2023)
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Total article views: 322 (including HTML, PDF, and XML)
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221
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Views and downloads (calculated since 12 Dec 2022)
Cumulative views and downloads
(calculated since 12 Dec 2022)
Viewed (geographical distribution)
Total article views: 1,681 (including HTML, PDF, and XML)
Thereof 1,618 with geography defined
and 63 with unknown origin.
Total article views: 1,359 (including HTML, PDF, and XML)
Thereof 1,338 with geography defined
and 21 with unknown origin.
Total article views: 322 (including HTML, PDF, and XML)
Thereof 280 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...