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Volume 10, issue 3 | Copyright
The Cryosphere, 10, 1161-1179, 2016
https://doi.org/10.5194/tc-10-1161-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 31 May 2016

Research article | 31 May 2016

Characterizing Arctic sea ice topography using high-resolution IceBridge data

Alek A. Petty1,2, Michel C. Tsamados3, Nathan T. Kurtz2, Sinead L. Farrell1,2,4, Thomas Newman1,4, Jeremy P. Harbeck2, Daniel L. Feltham5, and Jackie A. Richter-Menge6 Alek A. Petty et al.
  • 1Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
  • 2Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 3Centre for Polar Observation and Modelling, Department of Earth Sciences, University College London, London, UK
  • 4NOAA Center for Weather and Climate Prediction, College Park, Maryland, USA
  • 5Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, UK
  • 6Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA

Abstract. We present an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper, flown as part of NASA's Operation IceBridge mission. Surface features in the sea ice cover are detected using a newly developed surface feature picking algorithm. We derive information regarding the height, volume and geometry of surface features from 2009 to 2014 within the Beaufort/Chukchi and Central Arctic regions. The results are delineated by ice type to estimate the topographic variability across first-year and multi-year ice regimes.

The results demonstrate that Arctic sea ice topography exhibits significant spatial variability, mainly driven by the increased surface feature height and volume (per unit area) of the multi-year ice that dominates the Central Arctic region. The multi-year ice topography exhibits greater interannual variability compared to the first-year ice regimes, which dominates the total ice topography variability across both regions. The ice topography also shows a clear coastal dependency, with the feature height and volume increasing as a function of proximity to the nearest coastline, especially north of Greenland and the Canadian Archipelago. A strong correlation between ice topography and ice thickness (from the IceBridge sea ice product) is found, using a square-root relationship. The results allude to the importance of ice deformation variability in the total sea ice mass balance, and provide crucial information regarding the tail of the ice thickness distribution across the western Arctic. Future research priorities associated with this new data set are presented and discussed, especially in relation to calculations of atmospheric form drag.

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This study presents an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper (ATM) laser altimeter, flown as part of NASA's Operation IceBridge mission. We describe and implement a newly developed sea ice surface feature-picking algorithm and derive novel information regarding the height, volume and geometry of surface features over the western Arctic sea ice cover.
This study presents an analysis of Arctic sea ice topography using high-resolution,...
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