4.7 Article

Estimates of spectral wave attenuation in Antarctic sea ice, using model/data inversion

Journal

COLD REGIONS SCIENCE AND TECHNOLOGY
Volume 182, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.coldregions.2020.103198

Keywords

Ocean waves; Sea ice; Spectral wave model; Wave-ice interaction; WAVEWATCH III; Dissipation by sea ice

Funding

  1. Office of Naval Research via the NRL Core Program, Program Element [61153N]
  2. Australian Research Council [DP200102828]
  3. New Zealand's Deep South National Science Challenge Targeted Observation and Process-Informed Modelling of Antarctic Sea Ice
  4. NIWA core funding under the National Climate Centre Climate Systems programme
  5. Australian Research Council [DP200102828] Funding Source: Australian Research Council

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A model-data inversion technique was used to estimate sea ice dissipation rates in the Southern Ocean, with results indicating lower dissipation rates near the ice edge where the ice is thinner. The quantified correlation with ice thickness could be utilized to develop new parametric predictions of dissipation.
A model-data inversion is applied to an extensive observational dataset collected in the Southern Ocean north of the Ross Sea during late autumn to early winter, producing estimates of the frequency-dependent rate of dissipation by sea ice. The modeling platform is WAVEWATCH III (R) which accounts for non-stationarity, advection, wave generation, and other relevant processes. The resulting 9477 dissipation profiles are co-located with other variables such as ice thickness to quantify correlations which might be exploited in later studies to improve predictions. An average of dissipation profiles from cases of thinner ice near the ice edge is fitted to a simple binomial. The binomial shows remarkable qualitative similarity to prior observation-based estimates of dissipation, and the power dependence is consistent with at least three theoretical models, one of which assumes that dissipation is dominated by turbulence generated by shear at the ice-water interface. Estimated dissipation is lower closer to the ice edge, where ice is thinner, and waveheight is larger. The quantified correlation with ice thickness may be exploited to develop new parametric predictions of dissipation.

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