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MODIS imagery (courtesy NASA) showing surface albedo (surface brightness return) with available Landsat imagery overlaid for 23 May 2011 (top) and 24 May 2011 (bottom).
Source publication
Springtime fetch in the Cape Bathurst Polynya System may present opportunities for winds to generate waves capable of propagating into the thick pack ice formed over the winter. A waves-in-ice event at a study site located on the Canadian Shelf in the southern Beaufort Sea that occurred 22–23 May 2011 is presented and analyzed for wave energy atten...
Context in source publication
Context 1
... from the United States Geo- logical Survey (USGS, 2016) processed with an image stretch algorithm to enhance sea-ice brightness. This facilitated dis- tinguishing sea ice from open water. Landsat imagery was also obtained from the USGS and overlaid on the MODIS images to provide additional context. Imagery for 23-24 May 2011 are presented in Fig. ...
Similar publications
The objective of the present work is to serve as a practical addendum to the discrete parameter Oscillating Water Column (OWC) Wave Energy Conversion (WEC) device model proposed by Folley and Whittaker [1] at the 24th International Conference on Offshore Mechanics and Arctic Engineering. In particular, a method for the interpretation of their discr...
Citations
... The additional damping is often attributed to mechanisms associated with the inherent physical constraints of the laboratory setup such as overwash , sidewall effects, and properties of the materials simulating the ice cover. However, other wave dissipation field measurements conducted on small spatial scales in the proximity to the ice edge have also reported higher dissipation rates (Asplin et al., 2018;Rabault et al., 2017) that are similar to those obtained in wave tanks. ...
... The higher dissipation rates near the ice edge are qualitatively consistent with laboratory studies which measure dissipation near the ice edge inherently (e.g., Cheng et al., 2019;Herman et al., 2019;Parra et al., 2020), and prior field measurements of dissipation over small spatial scales (e.g., Asplin et al., 2018;Rabault et al., 2017). Direct comparisons with these measurements are often complicated by the lack of overlap in the frequency ranges, the scale of the experimental setup, and the difference in ice type. ...
Plain Language Summary
Changes in Arctic sea ice cover have consequences for coastal Alaskan regions. Relative to recent decades, nearshore sea ice now melts earlier and forms later in the year, exposing the coastlines to increased ocean wave energy and storm surges. Recent reports show that erosion along Arctic coasts is increasing and poses a threat to local habitats and human communities. This study aims to improve our understanding of the protective role of sea ice by measuring wave energy across the nearshore ice cover. Using drifting buoys deployed inside and outside fragmented sea ice, we monitored ocean waves during an autumn storm event typical for coastal regions in the Chukchi Sea. We found that the wave heights were reduced by 40% over 5 km distance, and the effects of this type of ice on waves were consistent with previous studies. Thanks to the high resolution of our measurements, we were able to determine that the dampening effect was stronger immediately next to the ice edge. Our measurements may be applied to improve present and future operational and climate models used to forecast and understand wave activity near the Arctic coasts.
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® 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.
