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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Language: | English |
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Cambridge University Press
2021
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Online Access: | https://doi.org/10.1017/jog.2021.59 https://doaj.org/article/6a6cf822fcf54a749a305349a9ce30e8 |
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ftdoajarticles:oai:doaj.org/article:6a6cf822fcf54a749a305349a9ce30e8 2023-05-15T16:57:35+02:00 Detecting supraglacial debris thickness with GPR under suboptimal conditions Alexandra Giese Steven Arcone Robert Hawley Gabriel Lewis Patrick Wagnon 2021-12-01T00:00:00Z https://doi.org/10.1017/jog.2021.59 https://doaj.org/article/6a6cf822fcf54a749a305349a9ce30e8 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143021000599/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.59 0022-1430 1727-5652 https://doaj.org/article/6a6cf822fcf54a749a305349a9ce30e8 Journal of Glaciology, Vol 67, Pp 1108-1120 (2021) Debris-covered glaciers glacier geophysics glaciological instruments and methods ground-penetrating radar supraglacial debris Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.1017/jog.2021.59 2023-03-12T01:30:57Z 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 Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 67 266 1108 1120 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Debris-covered glaciers glacier geophysics glaciological instruments and methods ground-penetrating radar supraglacial debris Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Debris-covered glaciers glacier geophysics glaciological instruments and methods ground-penetrating radar supraglacial debris Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Alexandra Giese Steven Arcone Robert Hawley Gabriel Lewis Patrick Wagnon Detecting supraglacial debris thickness with GPR under suboptimal conditions |
topic_facet |
Debris-covered glaciers glacier geophysics glaciological instruments and methods ground-penetrating radar supraglacial debris Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
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 |
Alexandra Giese Steven Arcone Robert Hawley Gabriel Lewis Patrick Wagnon |
author_facet |
Alexandra Giese Steven Arcone Robert Hawley Gabriel Lewis Patrick Wagnon |
author_sort |
Alexandra Giese |
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 |
publishDate |
2021 |
url |
https://doi.org/10.1017/jog.2021.59 https://doaj.org/article/6a6cf822fcf54a749a305349a9ce30e8 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 67, Pp 1108-1120 (2021) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143021000599/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.59 0022-1430 1727-5652 https://doaj.org/article/6a6cf822fcf54a749a305349a9ce30e8 |
op_doi |
https://doi.org/10.1017/jog.2021.59 |
container_title |
Journal of Glaciology |
container_volume |
67 |
container_issue |
266 |
container_start_page |
1108 |
op_container_end_page |
1120 |
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1766049153258881024 |