High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data

Detailed maps of bed elevation and ice thickness are essential for understanding and projecting the evolution of the ice sheets. Such maps are traditionally obtained using airborne radarsounding profiler data interpolated onto regular grids using geostatistical tools such as kriging. Here we compare...

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Main Authors: Morlighem, M, Rignot, E, Mouginot, J, Wu, X, Seroussi, H, Larour, E, Paden, J
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2013
Subjects:
Online Access:https://escholarship.org/uc/item/2pp1r122
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spelling ftcdlib:oai:escholarship.org/ark:/13030/qt2pp1r122 2023-05-15T16:21:18+02:00 High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data Morlighem, M Rignot, E Mouginot, J Wu, X Seroussi, H Larour, E Paden, J 1015 - 1023 2013-12-01 application/pdf https://escholarship.org/uc/item/2pp1r122 unknown eScholarship, University of California qt2pp1r122 https://escholarship.org/uc/item/2pp1r122 CC-BY CC-BY Journal of Glaciology, vol 59, iss 218 Meteorology & Atmospheric Sciences Physical Geography and Environmental Geoscience article 2013 ftcdlib 2021-06-20T14:23:08Z Detailed maps of bed elevation and ice thickness are essential for understanding and projecting the evolution of the ice sheets. Such maps are traditionally obtained using airborne radarsounding profiler data interpolated onto regular grids using geostatistical tools such as kriging. Here we compare three mapping techniques applied to a dense radar survey of Russell Glacier, West Greenland, by NASA Operation IceBridge: (1) radar tomography (RT) processing of the radar data to map the bed elevation, (2) interpolation of radar-derived thickness by ordinary kriging (KR) and (3) reconstruction of ice thickness based on the principles of mass conservation (MC) combining radar-sounding profiler and ice motion data. RT eliminates ambiguities caused by off-nadir reflections, but is spatially limited. KR yields a standard error in bed elevation of 35 m, but large errors (>300m a-1) in flux divergence when combined with ice motion data. MC yields a comparable performance in bed elevation mapping, and errors smaller than 1m a-1 in flux divergence. When the number of radar-sounding tracks is reduced, the performance of KR decreases more rapidly than for MC. Our study site shows that MC is capable of maintaining precision levels of 60m at 400m posting with flight tracks separated by 5 km. © 2014 Publishing Technology. Article in Journal/Newspaper glacier Greenland Journal of Glaciology University of California: eScholarship Greenland
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Meteorology & Atmospheric Sciences
Physical Geography and Environmental Geoscience
spellingShingle Meteorology & Atmospheric Sciences
Physical Geography and Environmental Geoscience
Morlighem, M
Rignot, E
Mouginot, J
Wu, X
Seroussi, H
Larour, E
Paden, J
High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
topic_facet Meteorology & Atmospheric Sciences
Physical Geography and Environmental Geoscience
description Detailed maps of bed elevation and ice thickness are essential for understanding and projecting the evolution of the ice sheets. Such maps are traditionally obtained using airborne radarsounding profiler data interpolated onto regular grids using geostatistical tools such as kriging. Here we compare three mapping techniques applied to a dense radar survey of Russell Glacier, West Greenland, by NASA Operation IceBridge: (1) radar tomography (RT) processing of the radar data to map the bed elevation, (2) interpolation of radar-derived thickness by ordinary kriging (KR) and (3) reconstruction of ice thickness based on the principles of mass conservation (MC) combining radar-sounding profiler and ice motion data. RT eliminates ambiguities caused by off-nadir reflections, but is spatially limited. KR yields a standard error in bed elevation of 35 m, but large errors (>300m a-1) in flux divergence when combined with ice motion data. MC yields a comparable performance in bed elevation mapping, and errors smaller than 1m a-1 in flux divergence. When the number of radar-sounding tracks is reduced, the performance of KR decreases more rapidly than for MC. Our study site shows that MC is capable of maintaining precision levels of 60m at 400m posting with flight tracks separated by 5 km. © 2014 Publishing Technology.
format Article in Journal/Newspaper
author Morlighem, M
Rignot, E
Mouginot, J
Wu, X
Seroussi, H
Larour, E
Paden, J
author_facet Morlighem, M
Rignot, E
Mouginot, J
Wu, X
Seroussi, H
Larour, E
Paden, J
author_sort Morlighem, M
title High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
title_short High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
title_full High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
title_fullStr High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
title_full_unstemmed High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
title_sort high-resolution bed topography mapping of russell glacier, greenland, inferred from operation icebridge data
publisher eScholarship, University of California
publishDate 2013
url https://escholarship.org/uc/item/2pp1r122
op_coverage 1015 - 1023
geographic Greenland
geographic_facet Greenland
genre glacier
Greenland
Journal of Glaciology
genre_facet glacier
Greenland
Journal of Glaciology
op_source Journal of Glaciology, vol 59, iss 218
op_relation qt2pp1r122
https://escholarship.org/uc/item/2pp1r122
op_rights CC-BY
op_rightsnorm CC-BY
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