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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Mirena Feist-Polner on behalf of the Authors (24 Feb 2017)  Author's response
ED: Reconsider after major revisions (10 Mar 2017) by Jennifer Hutchings
AR by Jennifer V. Lukovich on behalf of the Authors (08 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 May 2017) by Jennifer Hutchings
RR by Anonymous Referee #1 (31 May 2017)
RR by Antonello Provenzale (05 Jun 2017)
ED: Publish subject to technical corrections (10 Jun 2017) by Jennifer Hutchings
AR by Jennifer V. Lukovich on behalf of the Authors (15 Jun 2017)  Author's response    Manuscript
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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.