A mass conservation approach for mapping glacier ice thickness
The traditional method for interpolating ice thickness data from airborne radar sounding surveys onto regular grids is to employ geostatistical techniques such as kriging. While this approach provides continuous maps of ice thickness, it generates products that are not consistent with ice flow dynam...
Published in: | Geophysical Research Letters |
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Language: | English |
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ftcdlib:qt4420869v 2023-05-15T16:21:14+02:00 A mass conservation approach for mapping glacier ice thickness Morlighem, M Rignot, E Seroussi, H Larour, E Ben Dhia, H Aubry, D 2011-10-01 application/pdf http://www.escholarship.org/uc/item/4420869v english eng eScholarship, University of California qt4420869v http://www.escholarship.org/uc/item/4420869v Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ CC-BY Morlighem, M; Rignot, E; Seroussi, H; Larour, E; Ben Dhia, H; & Aubry, D. (2011). A mass conservation approach for mapping glacier ice thickness. Geophysical Research Letters, 38(19). doi:10.1029/2011GL048659. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4420869v article 2011 ftcdlib https://doi.org/10.1029/2011GL048659 2018-07-13T22:52:58Z The traditional method for interpolating ice thickness data from airborne radar sounding surveys onto regular grids is to employ geostatistical techniques such as kriging. While this approach provides continuous maps of ice thickness, it generates products that are not consistent with ice flow dynamics and are impractical for high resolution ice flow simulations. Here, we present a novel approach that combines sparse ice thickness data collected by airborne radar sounding profilers with high resolution swath mapping of ice velocity derived from satellite synthetic-aperture interferometry to obtain a high resolution map of ice thickness that conserves mass and minimizes the departure from observations. We apply this approach to the case of Nioghalvfjerdsfjorden (79North) Glacier, a major outlet glacier in northeast Greenland that has been relatively stable in recent decades. The results show that our mass conserving method removes the anomalies in mass flux divergence, yields interpolated data that are within about 5% of the original data, and produces thickness maps that are directly usable in high spatial-resolution, high-order ice flow models. We discuss the application of this method to the broad and detailed radar surveys of ice sheet and glacier thickness. Copyright 2011 by the American Geophysical Union. Article in Journal/Newspaper glacier Greenland Ice Sheet Nioghalvfjerdsfjorden University of California: eScholarship Greenland Nioghalvfjerdsfjorden ENVELOPE(-21.500,-21.500,79.500,79.500) Geophysical Research Letters 38 19 n/a n/a |
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Open Polar |
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University of California: eScholarship |
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ftcdlib |
language |
English |
description |
The traditional method for interpolating ice thickness data from airborne radar sounding surveys onto regular grids is to employ geostatistical techniques such as kriging. While this approach provides continuous maps of ice thickness, it generates products that are not consistent with ice flow dynamics and are impractical for high resolution ice flow simulations. Here, we present a novel approach that combines sparse ice thickness data collected by airborne radar sounding profilers with high resolution swath mapping of ice velocity derived from satellite synthetic-aperture interferometry to obtain a high resolution map of ice thickness that conserves mass and minimizes the departure from observations. We apply this approach to the case of Nioghalvfjerdsfjorden (79North) Glacier, a major outlet glacier in northeast Greenland that has been relatively stable in recent decades. The results show that our mass conserving method removes the anomalies in mass flux divergence, yields interpolated data that are within about 5% of the original data, and produces thickness maps that are directly usable in high spatial-resolution, high-order ice flow models. We discuss the application of this method to the broad and detailed radar surveys of ice sheet and glacier thickness. Copyright 2011 by the American Geophysical Union. |
format |
Article in Journal/Newspaper |
author |
Morlighem, M Rignot, E Seroussi, H Larour, E Ben Dhia, H Aubry, D |
spellingShingle |
Morlighem, M Rignot, E Seroussi, H Larour, E Ben Dhia, H Aubry, D A mass conservation approach for mapping glacier ice thickness |
author_facet |
Morlighem, M Rignot, E Seroussi, H Larour, E Ben Dhia, H Aubry, D |
author_sort |
Morlighem, M |
title |
A mass conservation approach for mapping glacier ice thickness |
title_short |
A mass conservation approach for mapping glacier ice thickness |
title_full |
A mass conservation approach for mapping glacier ice thickness |
title_fullStr |
A mass conservation approach for mapping glacier ice thickness |
title_full_unstemmed |
A mass conservation approach for mapping glacier ice thickness |
title_sort |
mass conservation approach for mapping glacier ice thickness |
publisher |
eScholarship, University of California |
publishDate |
2011 |
url |
http://www.escholarship.org/uc/item/4420869v |
long_lat |
ENVELOPE(-21.500,-21.500,79.500,79.500) |
geographic |
Greenland Nioghalvfjerdsfjorden |
geographic_facet |
Greenland Nioghalvfjerdsfjorden |
genre |
glacier Greenland Ice Sheet Nioghalvfjerdsfjorden |
genre_facet |
glacier Greenland Ice Sheet Nioghalvfjerdsfjorden |
op_source |
Morlighem, M; Rignot, E; Seroussi, H; Larour, E; Ben Dhia, H; & Aubry, D. (2011). A mass conservation approach for mapping glacier ice thickness. Geophysical Research Letters, 38(19). doi:10.1029/2011GL048659. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4420869v |
op_relation |
qt4420869v http://www.escholarship.org/uc/item/4420869v |
op_rights |
Attribution (CC BY): http://creativecommons.org/licenses/by/3.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1029/2011GL048659 |
container_title |
Geophysical Research Letters |
container_volume |
38 |
container_issue |
19 |
container_start_page |
n/a |
op_container_end_page |
n/a |
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1766009242445152256 |