New Wave-Ice Interaction Physics in WAVEWATCH III

Abstract

The third generation model for wind-generated surface gravity waves WAVEWATCH III is modified to represent the effect of ice on waves as a source function. This replaces the existing approach of representing ice via fractional blocking (per grid cell) of wave propagation using ice concentration. We have implemented three alternative formulations of varying complexity. The first dissipative source function is a simplistic model where dissipation rate is specified directly. The second dissipative source function, based on work by A. Liu and others, assumes that dissipation is primarily caused by turbulence at the interface between water and a locally continuous ice layer. The third dissipative source function, based on work by H. Shen and others, treats the ice as a locally continuous visco-elastic layer (i.e. a two-layer model). In all cases, the ice characteristics may be specified as non-homogeneous and nonstationary fields. In the latter two source functions, the dissipation rate is non-uniform in frequency space, which is a highly intuitive and documented feature of wave-ice interaction: shorter waves are damped rapidly within the Marginal Ice Zone (MIZ), while the longest waves can penetrate several kilometers (at least) into the ice pack. These source functions are applied in preliminary hindcasts for August 2012 in the Beaufort and Chukchi Seas.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2014
Accession Number
ADA607695

Entities

People

  • Erick Erick Rogers
  • Stefan Zieger

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Arctic Ocean
  • Boundary Layer
  • Dispersion Relations
  • Equations
  • Frequency
  • Gravity Waves
  • Grids
  • Layers
  • Marginal Ice Zones
  • Military Research
  • Oceans
  • Physics
  • Sea Ice
  • Synthetic Aperture Radar
  • Two Dimensional
  • Wave Power
  • Wave Propagation

Readers

  • Fluid Dynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space