Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling

Abstract Accurate knowledge of the ice thickness distribution and glacier bed topography is essential for predicting dynamic glacier changes and the future developments of downstream hydrology, which are impacting the energy sector, tourism industry and natural hazard management. Using AIR-ETH, a ne...

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Published in:Journal of Glaciology
Main Authors: Grab, Melchior, Mattea, Enrico, Bauder, Andreas, Huss, Matthias, Rabenstein, Lasse, Hodel, Elias, Linsbauer, Andreas, Langhammer, Lisbeth, Schmid, Lino, Church, Gregory, Hellmann, Sebastian, Délèze, Kevin, Schaer, Philipp, Lathion, Patrick, Farinotti, Daniel, Maurer, Hansruedi
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2021
Subjects:
Online Access:http://dx.doi.org/10.1017/jog.2021.55
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000551
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spelling crcambridgeupr:10.1017/jog.2021.55 2024-09-15T18:15:39+00:00 Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling Grab, Melchior Mattea, Enrico Bauder, Andreas Huss, Matthias Rabenstein, Lasse Hodel, Elias Linsbauer, Andreas Langhammer, Lisbeth Schmid, Lino Church, Gregory Hellmann, Sebastian Délèze, Kevin Schaer, Philipp Lathion, Patrick Farinotti, Daniel Maurer, Hansruedi 2021 http://dx.doi.org/10.1017/jog.2021.55 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000551 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Journal of Glaciology volume 67, issue 266, page 1074-1092 ISSN 0022-1430 1727-5652 journal-article 2021 crcambridgeupr https://doi.org/10.1017/jog.2021.55 2024-09-04T04:04:14Z Abstract Accurate knowledge of the ice thickness distribution and glacier bed topography is essential for predicting dynamic glacier changes and the future developments of downstream hydrology, which are impacting the energy sector, tourism industry and natural hazard management. Using AIR-ETH, a new helicopter-borne ground-penetrating radar (GPR) platform, we measured the ice thickness of all large and most medium-sized glaciers in the Swiss Alps during the years 2016–20. Most of these had either never or only partially been surveyed before. With this new dataset, 251 glaciers – making up 81% of the glacierized area – are now covered by GPR surveys. For obtaining a comprehensive estimate of the overall glacier ice volume, ice thickness distribution and glacier bed topography, we combined this large amount of data with two independent modeling algorithms. This resulted in new maps of the glacier bed topography with unprecedented accuracy. The total glacier volume in the Swiss Alps was determined to be 58.7 ± 2.5 km 3 in the year 2016. By projecting these results based on mass-balance data, we estimated a total ice volume of 52.9 ± 2.7 km 3 for the year 2020. Data and modeling results are accessible in the form of the SwissGlacierThickness-R2020 data package. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 1 19
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract Accurate knowledge of the ice thickness distribution and glacier bed topography is essential for predicting dynamic glacier changes and the future developments of downstream hydrology, which are impacting the energy sector, tourism industry and natural hazard management. Using AIR-ETH, a new helicopter-borne ground-penetrating radar (GPR) platform, we measured the ice thickness of all large and most medium-sized glaciers in the Swiss Alps during the years 2016–20. Most of these had either never or only partially been surveyed before. With this new dataset, 251 glaciers – making up 81% of the glacierized area – are now covered by GPR surveys. For obtaining a comprehensive estimate of the overall glacier ice volume, ice thickness distribution and glacier bed topography, we combined this large amount of data with two independent modeling algorithms. This resulted in new maps of the glacier bed topography with unprecedented accuracy. The total glacier volume in the Swiss Alps was determined to be 58.7 ± 2.5 km 3 in the year 2016. By projecting these results based on mass-balance data, we estimated a total ice volume of 52.9 ± 2.7 km 3 for the year 2020. Data and modeling results are accessible in the form of the SwissGlacierThickness-R2020 data package.
format Article in Journal/Newspaper
author Grab, Melchior
Mattea, Enrico
Bauder, Andreas
Huss, Matthias
Rabenstein, Lasse
Hodel, Elias
Linsbauer, Andreas
Langhammer, Lisbeth
Schmid, Lino
Church, Gregory
Hellmann, Sebastian
Délèze, Kevin
Schaer, Philipp
Lathion, Patrick
Farinotti, Daniel
Maurer, Hansruedi
spellingShingle Grab, Melchior
Mattea, Enrico
Bauder, Andreas
Huss, Matthias
Rabenstein, Lasse
Hodel, Elias
Linsbauer, Andreas
Langhammer, Lisbeth
Schmid, Lino
Church, Gregory
Hellmann, Sebastian
Délèze, Kevin
Schaer, Philipp
Lathion, Patrick
Farinotti, Daniel
Maurer, Hansruedi
Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
author_facet Grab, Melchior
Mattea, Enrico
Bauder, Andreas
Huss, Matthias
Rabenstein, Lasse
Hodel, Elias
Linsbauer, Andreas
Langhammer, Lisbeth
Schmid, Lino
Church, Gregory
Hellmann, Sebastian
Délèze, Kevin
Schaer, Philipp
Lathion, Patrick
Farinotti, Daniel
Maurer, Hansruedi
author_sort Grab, Melchior
title Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
title_short Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
title_full Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
title_fullStr Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
title_full_unstemmed Ice thickness distribution of all Swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
title_sort ice thickness distribution of all swiss glaciers based on extended ground-penetrating radar data and glaciological modeling
publisher Cambridge University Press (CUP)
publishDate 2021
url http://dx.doi.org/10.1017/jog.2021.55
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143021000551
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 67, issue 266, page 1074-1092
ISSN 0022-1430 1727-5652
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/jog.2021.55
container_title Journal of Glaciology
container_start_page 1
op_container_end_page 19
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