Characterizing Arctic sea ice topography using high-resolution IceBridge data

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 featu...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: Petty, Alek A., Tsamados, Michel C., Kurtz, Nathan T., Farrell, Sinead L., Newman, Thomas, Harbeck, Jeremy P., Feltham, Daniel L., Richter-Menge, Jackie A.
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union 2016
Subjects:
Online Access:https://centaur.reading.ac.uk/66369/
https://centaur.reading.ac.uk/66369/1/tc-10-1161-2016.pdf
https://doi.org/10.5194/tc-10-1161-2016
id ftunivreading:oai:centaur.reading.ac.uk:66369
record_format openpolar
spelling ftunivreading:oai:centaur.reading.ac.uk:66369 2024-06-23T07:45:01+00:00 Characterizing Arctic sea ice topography using high-resolution IceBridge data Petty, Alek A. Tsamados, Michel C. Kurtz, Nathan T. Farrell, Sinead L. Newman, Thomas Harbeck, Jeremy P. Feltham, Daniel L. Richter-Menge, Jackie A. 2016-05-31 text https://centaur.reading.ac.uk/66369/ https://centaur.reading.ac.uk/66369/1/tc-10-1161-2016.pdf https://doi.org/10.5194/tc-10-1161-2016 en eng European Geosciences Union https://centaur.reading.ac.uk/66369/1/tc-10-1161-2016.pdf Petty, A. A., Tsamados, M. C., Kurtz, N. T., Farrell, S. L., Newman, T., Harbeck, J. P., Feltham, D. L. <https://centaur.reading.ac.uk/view/creators/90004991.html> orcid:0000-0003-2289-014X and Richter-Menge, J. A. (2016) Characterizing Arctic sea ice topography using high-resolution IceBridge data. The Cryosphere, 10 (3). pp. 1161-1179. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-10-1161-2016 <https://doi.org/10.5194/tc-10-1161-2016> cc_by Article PeerReviewed 2016 ftunivreading https://doi.org/10.5194/tc-10-1161-2016 2024-06-11T15:05:53Z 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. Article in Journal/Newspaper Airborne Topographic Mapper Arctic Arctic Canadian Archipelago Chukchi Greenland Sea ice The Cryosphere CentAUR: Central Archive at the University of Reading Arctic Greenland The Cryosphere 10 3 1161 1179
institution Open Polar
collection CentAUR: Central Archive at the University of Reading
op_collection_id ftunivreading
language English
description 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.
format Article in Journal/Newspaper
author Petty, Alek A.
Tsamados, Michel C.
Kurtz, Nathan T.
Farrell, Sinead L.
Newman, Thomas
Harbeck, Jeremy P.
Feltham, Daniel L.
Richter-Menge, Jackie A.
spellingShingle Petty, Alek A.
Tsamados, Michel C.
Kurtz, Nathan T.
Farrell, Sinead L.
Newman, Thomas
Harbeck, Jeremy P.
Feltham, Daniel L.
Richter-Menge, Jackie A.
Characterizing Arctic sea ice topography using high-resolution IceBridge data
author_facet Petty, Alek A.
Tsamados, Michel C.
Kurtz, Nathan T.
Farrell, Sinead L.
Newman, Thomas
Harbeck, Jeremy P.
Feltham, Daniel L.
Richter-Menge, Jackie A.
author_sort Petty, Alek A.
title Characterizing Arctic sea ice topography using high-resolution IceBridge data
title_short Characterizing Arctic sea ice topography using high-resolution IceBridge data
title_full Characterizing Arctic sea ice topography using high-resolution IceBridge data
title_fullStr Characterizing Arctic sea ice topography using high-resolution IceBridge data
title_full_unstemmed Characterizing Arctic sea ice topography using high-resolution IceBridge data
title_sort characterizing arctic sea ice topography using high-resolution icebridge data
publisher European Geosciences Union
publishDate 2016
url https://centaur.reading.ac.uk/66369/
https://centaur.reading.ac.uk/66369/1/tc-10-1161-2016.pdf
https://doi.org/10.5194/tc-10-1161-2016
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Airborne Topographic Mapper
Arctic
Arctic
Canadian Archipelago
Chukchi
Greenland
Sea ice
The Cryosphere
genre_facet Airborne Topographic Mapper
Arctic
Arctic
Canadian Archipelago
Chukchi
Greenland
Sea ice
The Cryosphere
op_relation https://centaur.reading.ac.uk/66369/1/tc-10-1161-2016.pdf
Petty, A. A., Tsamados, M. C., Kurtz, N. T., Farrell, S. L., Newman, T., Harbeck, J. P., Feltham, D. L. <https://centaur.reading.ac.uk/view/creators/90004991.html> orcid:0000-0003-2289-014X and Richter-Menge, J. A. (2016) Characterizing Arctic sea ice topography using high-resolution IceBridge data. The Cryosphere, 10 (3). pp. 1161-1179. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-10-1161-2016 <https://doi.org/10.5194/tc-10-1161-2016>
op_rights cc_by
op_doi https://doi.org/10.5194/tc-10-1161-2016
container_title The Cryosphere
container_volume 10
container_issue 3
container_start_page 1161
op_container_end_page 1179
_version_ 1802648099343040512