2021
DOI: 10.3390/fluids6050176
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A Computational Fluid Dynamics Model for the Small-Scale Dynamics of Wave, Ice Floe and Interstitial Grease Ice Interaction

Abstract: The marginal ice zone is a highly dynamical region where sea ice and ocean waves interact. Large-scale sea ice models only compute domain-averaged responses. As the majority of the marginal ice zone consists of mobile ice floes surrounded by grease ice, finer-scale modelling is needed to resolve variations of its mechanical properties, wave-induced pressure gradients and drag forces acting on the ice floes. A novel computational fluid dynamics approach is presented that considers the heterogeneous sea ice mate… Show more

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Cited by 12 publications
(6 citation statements)
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“…In the scattering-based approach of 47 The attenuation rates predicted by the two scattering-based approaches are well-aligned only for waves longer than 200 m, for which the flexural rigidity of the sea ice is expected to be negligible. This behavior for very long waves is consistent with computational fluid dynamics simulations that consider the heterogeneous sea ice material composition and account for the wave-ice interaction dynamics 48 . Numerical results therein suggest that the mechanical sea ice response becomes independent of the detailed distribution of pancakes for wave number smaller than 0.016 m −1 .…”
Section: Comparison With Other Modelssupporting
confidence: 84%
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“…In the scattering-based approach of 47 The attenuation rates predicted by the two scattering-based approaches are well-aligned only for waves longer than 200 m, for which the flexural rigidity of the sea ice is expected to be negligible. This behavior for very long waves is consistent with computational fluid dynamics simulations that consider the heterogeneous sea ice material composition and account for the wave-ice interaction dynamics 48 . Numerical results therein suggest that the mechanical sea ice response becomes independent of the detailed distribution of pancakes for wave number smaller than 0.016 m −1 .…”
Section: Comparison With Other Modelssupporting
confidence: 84%
“…We can then use the value of λ from analysis of the SAR images to carry out a best-fit of the buoy data on wave attenuation with Eqs. (57) and (48), to retrieve the values of the remaining parameters ϕ inc and h2 :…”
Section: Comparison With Experiments: Arctic Sea State Program Datamentioning
confidence: 99%
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“…The cold air temperature during the winter deployment provide a strong heat flux out of the ocean, leading to grease ice in between and possibly below the ice floes. Interstitial grease ice has been hypothesized to affect the attenuation rate (Marquart et al., 2021). As discussed by De Carolis et al.…”
Section: Resultsmentioning
confidence: 99%
“…The cold air temperature during the winter deployment provide a strong heat flux out of the ocean, leading to grease ice in between and possibly below the ice floes. Interstitial grease ice has been hypothesized to affect the attenuation rate (Marquart et al, 2021). As discussed by De Carolis et al ( 2021), presence of grease ice below the floes would also cause an effective ice thickness larger than the observed floe thickness, and therefore a stronger wave attenuation, which could explain the difference in attenuation between winter and spring.…”
Section: Tablementioning
confidence: 96%