Articles | Volume 11, issue 4
https://doi.org/10.5194/tc-11-1707-2017
https://doi.org/10.5194/tc-11-1707-2017
Research article
 | 
24 Jul 2017
Research article |  | 24 Jul 2017

Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics

Jennifer V. Lukovich, Cathleen A. Geiger, and David G. Barber

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Latest update: 19 Apr 2024
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Short summary
In this study we develop a framework to characterize directional changes in sea ice drift and associated deformation in response to atmospheric forcing. Lagrangian dispersion statistics applied to ice beacons deployed in a triangular configuration in the Beaufort Sea capture a shift in ice dynamical regimes and local differences in deformation. This framework contributes to diagnostic development relevant for ice hazard assessments and forecasting required by indigenous communities and industry.