Wave-ice interaction in the North-West Barents Sea

Marchenko, Aleksey; Wadhams, Peter; Collins, Clarence O.; Rabault, Jean; Chumakov, M.M.

doi:10.1016/j.apor.2019.101861

“…A more detailed analysis of their turbulence data has been prepared in a separate study for this special issue. Direct measurement of turbulence under ice covers during a wave event in the Barents and Greenland Sea also revealed eddy viscosity values two orders of magnitude greater than that of water (Marchenko et al, ). Theories for wave damping due to eddy viscosity were developed by assuming a highly viscous ice sheet (Weber, ) or a pure elastic ice sheet (Liu & Mollo‐Christensen, ).…”

Section: Discussionmentioning

confidence: 99%

Calibrating a Viscoelastic Sea Ice Model for Wave Propagation in the Arctic Fall Marginal Ice Zone

Cheng

¹

,

Rogers

²

,

Thomson

³

et al. 2017

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This paper presents a wave‐in‐ice model calibration study. Data used were collected in the thin ice of the advancing autumn marginal ice zone of the western Arctic Ocean in 2015, where pancake ice was found to be prevalent. Multiple buoys were deployed in seven wave experiments; data from four of these experiments are used in the present study. Wave attenuation coefficients are calculated utilizing wave energy decay between two buoys measuring simultaneously within the ice covered region. Wavenumbers are measured in one of these experiments. Forcing parameters are obtained from simultaneous in‐situ and remote sensing observations, as well as forecast/hindcast models. Cases from three wave experiments are used to calibrate a viscoelastic model for wave attenuation/dispersion in ice cover. The calibration is done by minimizing the difference between modeled and measured complex wavenumber, using a multi‐objective genetic algorithm. The calibrated results are validated using two methods. One is to directly apply the calibrated viscoelastic parameters to one of the wave experiments not used in the calibration and then compare the attenuation from the model with measured data. The other is to use the calibrated viscoelastic model in WAVEWATCH III® over the entire western Beaufort Sea and then compare the wave spectra at two remote sites not used in the calibration. Both validations show reasonable agreement between the model and the measured data. The completed viscoelastic model is believed to be applicable to the fall marginal ice zone dominated by pancake ice.

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“…The mechanical properties of the ice have the largest uncertainty of all variables involved, in large part as they are difficult to measure, particularly in this extreme environment. Only in the studies of Marchenko et al (2011Marchenko et al ( , 2012Marchenko et al ( , 2019 were the flexural strength (σ ) and/or Young's modulus (Y ) measured in situ, and they therefore provide the narrowest range of uncertainty. Note that in the case of the tsunami wave observations of Marchenko et al (2012) details of the ice properties during this experiment are provided in Marchenko et al (2013) and Karulina et al (2019).…”

Section: Observations Of Sea Ice Break-up In Previous Literaturementioning

confidence: 99%

Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up

Voermans

¹

,

Rabault

²

,

Filchuk

³

et al. 2020

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Abstract. Waves can drastically transform a sea ice cover by inducing break-up over vast distances in the course of a few hours. However, relatively few detailed studies have described this phenomenon in a quantitative manner, and the process of sea ice break-up by waves needs to be further parameterized and verified before it can be reliably included in forecasting models. In the present work, we discuss sea ice break-up parameterization and demonstrate the existence of an observational threshold separating breaking and non-breaking cases. This threshold is based on information from two recent field campaigns, supplemented with existing observations of sea ice break-up. The data used cover a wide range of scales, from laboratory-grown sea ice to polar field observations. Remarkably, we show that both field and laboratory observations tend to converge to a single quantitative threshold at which the wave-induced sea ice break-up takes place, which opens a promising avenue for robust parametrization in operational forecasting models.

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“…The mechanical properties of the ice have the largest uncertainty of all variables involved, in large part, as they are difficult to measure, particularly in this extreme environment. Only in the studies of Marchenko et al (2011Marchenko et al ( , 2012Marchenko et al ( , 2019 the flexural strength (σ) and/or Young's Modulus (Y ) were measured in situ and therefore provide the narrowest range of uncertainty.…”

Section: Deployment In the Arcticmentioning

confidence: 99%

Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up

Voermans¹,

Rabault²,

Filchuk³

et al. 2020

Preprint

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Abstract. Waves can drastically transform a sea ice cover by inducing break-up over vast distances in the course of a few hours. However, relatively few detailed studies have described this phenomenon in a quantitative manner, and the process of sea ice break-up by waves needs to be further parameterized and verified before it can be reliably included in forecasting models. In the present work, we discuss sea ice break-up parameterization and demonstrate the existence of an observational threshold separating breaking and non-breaking cases. This threshold is based on information from two recent field campaigns, supplemented with existing observations of sea ice break-up. The data used cover a wide range of scales, from laboratory-grown sea ice to polar field observations. Remarkably, we show that both field and laboratory observations tend to converge to a single quantitative threshold at which the wave-induced sea ice break-up takes place, which opens a promising avenue for robust parametrization in operational forecasting models.

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Wave-ice interaction in the North-West Barents Sea

Cited by 23 publications

References 19 publications

Calibrating a Viscoelastic Sea Ice Model for Wave Propagation in the Arctic Fall Marginal Ice Zone

Calibrating a Viscoelastic Sea Ice Model for Wave Propagation in the Arctic Fall Marginal Ice Zone

Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up

Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up

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