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Modelling wave-ice interactions in three dimensions in the marginal ice zone.

Will Perrie1, Michael H Meylan2, Bechara Toulany1

  • 1Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.

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Summary
This summary is machine-generated.

New wave-ice interaction models show reduced wave height attenuation in the marginal ice zone (MIZ). These formulations improve wave scattering and attenuation simulations for flexible ice floes.

Keywords:
marginal ice zoneocean surface waveswave propagation in icewave scattering and attenuationwave–ice interactions

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Area of Science:

  • Oceanography
  • Polar Science
  • Applied Mathematics

Background:

  • Ocean surface waves significantly impact the marginal ice zone (MIZ).
  • Accurate modeling of wave-ice interactions is crucial for understanding MIZ dynamics.
  • Existing parametrizations for wave scattering by ice floes have limitations.

Purpose of the Study:

  • To compare two recent 3D formulations for wave-ice interactions.
  • To evaluate selected parametrizations for ocean wave scattering by flexible ice floes.
  • To assess the performance of these formulations within the WAVEWATCH III® (WW3) model.

Main Methods:

  • Idealized simulations of wave-ice interactions.
  • Implementation of wave-ice parametrizations as source terms in WW3's action balance equation.
  • Hypothetical experiments to characterize parametrization behaviors.

Main Results:

  • The two new formulations exhibit less intense wave height attenuation in the propagation direction compared to others.
  • One-dimensional attenuation spans the entire frequency domain, reaching the high-frequency limit.
  • Simulations show a 'roll-over' effect in attenuation within the MIZ beyond the ice edge.

Conclusions:

  • The new wave-ice formulations show potential for improving wave scattering and attenuation simulations in the MIZ.
  • These models offer a more nuanced representation of wave energy dissipation by flexible ice.
  • Further research can refine these models for enhanced MIZ process understanding.