Detecting supraglacial debris thickness with GPR under suboptimal conditions

The thickness of a supraglacial layer is critical to the magnitude and time frame of glacier melt. Field-based, short pulse, ground-penetrating radar (GPR) has successfully measured debris thickness during a glacier's melt season, when there is a strong return from the ice–debris interface, but...

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Published in:Journal of Glaciology
Main Authors: Giese, Alexandra, Arcone, Steven, Hawley, Robert, Lewis, Gabriel, Wagnon, Patrick
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2021
Subjects:
Online Access:http://dx.doi.org/10.1017/jog.2021.59
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000599
id crcambridgeupr:10.1017/jog.2021.59
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spelling crcambridgeupr:10.1017/jog.2021.59 2024-09-15T18:15:37+00:00 Detecting supraglacial debris thickness with GPR under suboptimal conditions Giese, Alexandra Arcone, Steven Hawley, Robert Lewis, Gabriel Wagnon, Patrick 2021 http://dx.doi.org/10.1017/jog.2021.59 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000599 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Journal of Glaciology volume 67, issue 266, page 1108-1120 ISSN 0022-1430 1727-5652 journal-article 2021 crcambridgeupr https://doi.org/10.1017/jog.2021.59 2024-08-07T04:03:38Z The thickness of a supraglacial layer is critical to the magnitude and time frame of glacier melt. Field-based, short pulse, ground-penetrating radar (GPR) has successfully measured debris thickness during a glacier's melt season, when there is a strong return from the ice–debris interface, but profiling with GPR in the absence of a highly reflective ice interface has not been explored. We investigated the performance of 960 MHz signals over 2 km of transects on Changri Nup Glacier, Nepal, during the post-monsoon. We also performed laboratory experiments to interpret the field data and investigate electromagnetic wave propagation into dry rocky debris. Laboratory tests confirmed wave penetration into the glacier ice and suggest that the ice–debris interface return was missing in field data because of a weak dielectric contrast between solid ice and porous dry debris. We developed a new method to estimate debris thicknesses by applying a statistical approach to volumetric backscatter, and our backscatter-based calculated thickness retrievals gave reasonable agreement with debris depths measured manually in the field (10–40 cm). We conclude that, when melt season profiling is not an option, a remote system near 1 GHz could allow dry debris thickness to be estimated based on volumetric backscatter. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 1 13
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description The thickness of a supraglacial layer is critical to the magnitude and time frame of glacier melt. Field-based, short pulse, ground-penetrating radar (GPR) has successfully measured debris thickness during a glacier's melt season, when there is a strong return from the ice–debris interface, but profiling with GPR in the absence of a highly reflective ice interface has not been explored. We investigated the performance of 960 MHz signals over 2 km of transects on Changri Nup Glacier, Nepal, during the post-monsoon. We also performed laboratory experiments to interpret the field data and investigate electromagnetic wave propagation into dry rocky debris. Laboratory tests confirmed wave penetration into the glacier ice and suggest that the ice–debris interface return was missing in field data because of a weak dielectric contrast between solid ice and porous dry debris. We developed a new method to estimate debris thicknesses by applying a statistical approach to volumetric backscatter, and our backscatter-based calculated thickness retrievals gave reasonable agreement with debris depths measured manually in the field (10–40 cm). We conclude that, when melt season profiling is not an option, a remote system near 1 GHz could allow dry debris thickness to be estimated based on volumetric backscatter.
format Article in Journal/Newspaper
author Giese, Alexandra
Arcone, Steven
Hawley, Robert
Lewis, Gabriel
Wagnon, Patrick
spellingShingle Giese, Alexandra
Arcone, Steven
Hawley, Robert
Lewis, Gabriel
Wagnon, Patrick
Detecting supraglacial debris thickness with GPR under suboptimal conditions
author_facet Giese, Alexandra
Arcone, Steven
Hawley, Robert
Lewis, Gabriel
Wagnon, Patrick
author_sort Giese, Alexandra
title Detecting supraglacial debris thickness with GPR under suboptimal conditions
title_short Detecting supraglacial debris thickness with GPR under suboptimal conditions
title_full Detecting supraglacial debris thickness with GPR under suboptimal conditions
title_fullStr Detecting supraglacial debris thickness with GPR under suboptimal conditions
title_full_unstemmed Detecting supraglacial debris thickness with GPR under suboptimal conditions
title_sort detecting supraglacial debris thickness with gpr under suboptimal conditions
publisher Cambridge University Press (CUP)
publishDate 2021
url http://dx.doi.org/10.1017/jog.2021.59
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000599
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 67, issue 266, page 1108-1120
ISSN 0022-1430 1727-5652
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/jog.2021.59
container_title Journal of Glaciology
container_start_page 1
op_container_end_page 13
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