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...
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Language: | English |
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European Geosciences Union
2016
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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 |
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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 |