Rollover of Apparent Wave Attenuation in Ice Covered Seas

Li, Jingkai; Kohout, Alison L.; Doble, M; Wadhams, Peter; Guan, Changlong; Shen, Hayley H.

doi:10.1002/2017jc012978

Cited by 38 publications

(61 citation statements)

References 33 publications

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“…Attenuation was shown to increase monotonically with wave frequency in all except one case. The apparent rollover in attenuation rates at high wave frequencies (observed reported by Kohout et al 2011 andLi et al 2017) did not occur in our experiments. Comparisons between similar types of ice showed that attenuation rates also increase with ice cover thickness.…”

Section: Discussionsupporting

confidence: 62%

Wave attenuation and dispersion due to floating ice covers

Yiew

Parra

Wang

et al. 2019

Applied Ocean Research

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Experiments investigating the attenuation and dispersion of surface waves in a variety of ice covers are performed using a refrigerated wave flume. The ice conditions tested in the experiments cover naturally occurring combinations of continuous, fragmented, pancake and grease ice. Attenuation rates are shown to be a function of ice thickness, wave frequency, and the general rigidity of the ice cover. Dispersion changes were minor except for large wavelength increases when continuous covers were tested. Results are verified and compared with existing literature to show the extended range of investigation in terms of incident wave frequency and ice conditions. * Corresponding author's email: lucas yiew@tcoms.sg. Current address: Technology Centre for Offshore and Marine, Singapore (TCOMS), Singapore.

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Section: Discussionsupporting

confidence: 62%

Wave attenuation and dispersion due to floating ice covers

Yiew

Parra

Wang

et al. 2019

Applied Ocean Research

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“…Journal of Geophysical Research: Oceans reported for a case in Antarctic MIZ in Kohout et al (2014) might also be partly due to this wind input. Most recently, Li et al (2017) confirmed that roll-over in the same Antarctic case likely is a result of wind input to the highest frequencies. The wind input causes it to appear that less attenuation occurred, when comparing the net difference between two measurements (i.e., two buoys).…”

Section: 1002/2018jc013766mentioning

confidence: 99%

“…Similarly, the details of wave and wind coupling in the presence of ice are not fully understood. Although wind input is reduced in ice (Zippel & Thomson, 2016), there may still be sufficient wind input to offset some of the attenuation (Li et al, 2015b(Li et al, , 2017.…”

Section: 1002/2018jc013766mentioning

confidence: 99%

Overview of the Arctic Sea State and Boundary Layer Physics Program

Ackley²,

et al. 2018

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A large collaborative program has studied the coupled air‐ice‐ocean‐wave processes occurring in the Arctic during the autumn ice advance. The program included a field campaign in the western Arctic during the autumn of 2015, with in situ data collection and both aerial and satellite remote sensing. Many of the analyses have focused on using and improving forecast models. Summarizing and synthesizing the results from a series of separate papers, the overall view is of an Arctic shifting to a more seasonal system. The dramatic increase in open water extent and duration in the autumn means that large surface waves and significant surface heat fluxes are now common. When refreezing finally does occur, it is a highly variable process in space and time. Wind and wave events drive episodic advances and retreats of the ice edge, with associated variations in sea ice formation types (e.g., pancakes, nilas). This variability becomes imprinted on the winter ice cover, which in turn affects the melt season the following year.

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“…A summary of the least-squares fits with the laboratory data can be found in Table 1. Interpreting field data is decidedly more difficult as the wave field often consists of a broadband spectrum and the wind input and nonlinear terms can also have a non-negligible contribution to the spectral energy (Li et al, 2015(Li et al, , 2017. It is important to keep this in mind, that the wave dissipation due to the sea ice might not be the dominant process affecting the wave spectral energy, when comparing field observations with theoretical models for wave dissipation.…”

Section: Comparisons With Previous Experimentsmentioning

confidence: 99%

A two layer model for wave dissipation in sea ice

Sutherland

Rabault

Christensen

et al. 2019

Applied Ocean Research

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Sea ice is highly complex due to the inhomogeneity of the physical properties (e.g. temperature and salinity) as well as the permeability and mixture of water and a matrix of sea ice and/or sea ice crystals. Such complexity has proven itself to be difficult to parameterize in operational wave models. Instead, we assume that there exists a self-similarity scaling law which captures the first order properties. Using dimensional analysis, an equation for the kinematic viscosity is derived, which is proportional to the wave frequency and the ice thickness squared. In addition, the model allows for a two-layer structure where the oscillating pressure gradient due to wave propagation only exists in a fraction of the total ice thickness. These two assumptions lead to a spatial dissipation rate that is a function of ice thickness and wavenumber. The derived dissipation rate compares favourably with available field and laboratory observations.

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Rollover of Apparent Wave Attenuation in Ice Covered Seas

Cited by 38 publications

References 33 publications

Wave attenuation and dispersion due to floating ice covers

Wave attenuation and dispersion due to floating ice covers

Overview of the Arctic Sea State and Boundary Layer Physics Program

A two layer model for wave dissipation in sea ice

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