On the uncertainty of sea-ice isostasy
During late winter 2007, coincident measurements of sea ice were collected using various sensors at an ice camp in the Beaufort Sea, Canadian Arctic. Analysis of the archived data provides new insight into sea-ice isostasy and its related R-factor through case studies at three scales using different...
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ftdartmouthcoll:oai:digitalcommons.dartmouth.edu:facoa-1460 2024-09-09T19:26:02+00:00 On the uncertainty of sea-ice isostasy Geiger, Cathleen Wadhams, Peter Müller, Hans-Reinhard Richter-Menge, Jacqueline 2015-01-01T08:00:00Z application/pdf https://digitalcommons.dartmouth.edu/facoa/458 https://doi.org/10.3189/2015AoG69A633 https://digitalcommons.dartmouth.edu/context/facoa/article/1460/viewcontent/IGS.A69A633.Geiger.Isostasy_1449601175T8379.pdf unknown Dartmouth Digital Commons https://digitalcommons.dartmouth.edu/facoa/458 doi:10.3189/2015AoG69A633 https://digitalcommons.dartmouth.edu/context/facoa/article/1460/viewcontent/IGS.A69A633.Geiger.Isostasy_1449601175T8379.pdf Dartmouth Scholarship Earth Sciences Glaciology Hydrology Physical Sciences and Mathematics text 2015 ftdartmouthcoll https://doi.org/10.3189/2015AoG69A633 2024-06-21T04:42:58Z During late winter 2007, coincident measurements of sea ice were collected using various sensors at an ice camp in the Beaufort Sea, Canadian Arctic. Analysis of the archived data provides new insight into sea-ice isostasy and its related R-factor through case studies at three scales using different combinations of snow and ice thickness components. At the smallest scale (<1 m; point scale), isostasy is not expected, so we calculate a residual and define this as �� (‘zjey’) to describe vertical displacement due to deformation. From 1 to 10 m length scales, we explore traditional isostasy and identify a specific sequence of thickness calculations which minimize freeboard and elevation uncertainty. An effective solution exists when the R-factor is allowed to vary: ranging from 2 to 12, with mean of 5.17, mode of 5.88 and skewed distribution. At regional scales, underwater, airborne and spaceborne platforms are always missing thickness variables from either above or below sea level. For such situations, realistic agreement is found by applying small-scale skewed ranges for the R-factor. These findings encourage a broader isostasy solution as a function of potential energy and length scale. Overall, results add insight to data collection strategies and metadata characteristics of different thickness products. Text Arctic Beaufort Sea Sea ice Dartmouth Digital Commons (Dartmouth College) Arctic Annals of Glaciology 56 69 341 352 |
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Open Polar |
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Dartmouth Digital Commons (Dartmouth College) |
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ftdartmouthcoll |
language |
unknown |
topic |
Earth Sciences Glaciology Hydrology Physical Sciences and Mathematics |
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Earth Sciences Glaciology Hydrology Physical Sciences and Mathematics Geiger, Cathleen Wadhams, Peter Müller, Hans-Reinhard Richter-Menge, Jacqueline On the uncertainty of sea-ice isostasy |
topic_facet |
Earth Sciences Glaciology Hydrology Physical Sciences and Mathematics |
description |
During late winter 2007, coincident measurements of sea ice were collected using various sensors at an ice camp in the Beaufort Sea, Canadian Arctic. Analysis of the archived data provides new insight into sea-ice isostasy and its related R-factor through case studies at three scales using different combinations of snow and ice thickness components. At the smallest scale (<1 m; point scale), isostasy is not expected, so we calculate a residual and define this as �� (‘zjey’) to describe vertical displacement due to deformation. From 1 to 10 m length scales, we explore traditional isostasy and identify a specific sequence of thickness calculations which minimize freeboard and elevation uncertainty. An effective solution exists when the R-factor is allowed to vary: ranging from 2 to 12, with mean of 5.17, mode of 5.88 and skewed distribution. At regional scales, underwater, airborne and spaceborne platforms are always missing thickness variables from either above or below sea level. For such situations, realistic agreement is found by applying small-scale skewed ranges for the R-factor. These findings encourage a broader isostasy solution as a function of potential energy and length scale. Overall, results add insight to data collection strategies and metadata characteristics of different thickness products. |
format |
Text |
author |
Geiger, Cathleen Wadhams, Peter Müller, Hans-Reinhard Richter-Menge, Jacqueline |
author_facet |
Geiger, Cathleen Wadhams, Peter Müller, Hans-Reinhard Richter-Menge, Jacqueline |
author_sort |
Geiger, Cathleen |
title |
On the uncertainty of sea-ice isostasy |
title_short |
On the uncertainty of sea-ice isostasy |
title_full |
On the uncertainty of sea-ice isostasy |
title_fullStr |
On the uncertainty of sea-ice isostasy |
title_full_unstemmed |
On the uncertainty of sea-ice isostasy |
title_sort |
on the uncertainty of sea-ice isostasy |
publisher |
Dartmouth Digital Commons |
publishDate |
2015 |
url |
https://digitalcommons.dartmouth.edu/facoa/458 https://doi.org/10.3189/2015AoG69A633 https://digitalcommons.dartmouth.edu/context/facoa/article/1460/viewcontent/IGS.A69A633.Geiger.Isostasy_1449601175T8379.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Beaufort Sea Sea ice |
genre_facet |
Arctic Beaufort Sea Sea ice |
op_source |
Dartmouth Scholarship |
op_relation |
https://digitalcommons.dartmouth.edu/facoa/458 doi:10.3189/2015AoG69A633 https://digitalcommons.dartmouth.edu/context/facoa/article/1460/viewcontent/IGS.A69A633.Geiger.Isostasy_1449601175T8379.pdf |
op_doi |
https://doi.org/10.3189/2015AoG69A633 |
container_title |
Annals of Glaciology |
container_volume |
56 |
container_issue |
69 |
container_start_page |
341 |
op_container_end_page |
352 |
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1809895733347745792 |