Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps
Abstract. Ground-penetrating radar (GPR) is widely used for determining mountain glacier thickness. However, this method provides thickness data only along the acquisition lines, and therefore interpolation has to be made between them. Depending on the interpolation strategy, calculated ice volumes...
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Copernicus Publications under license by EGU – European Geosciences Union GmbH
2021
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Online Access: | http://hdl.handle.net/10852/93348 http://urn.nb.no/URN:NBN:no-95897 https://doi.org/10.5194/tc-15-5169-2021 |
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ftoslouniv:oai:www.duo.uio.no:10852/93348 2023-05-15T18:32:12+02:00 Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe 2021-12-21T13:09:50Z http://hdl.handle.net/10852/93348 http://urn.nb.no/URN:NBN:no-95897 https://doi.org/10.5194/tc-15-5169-2021 EN eng Copernicus Publications under license by EGU – European Geosciences Union GmbH http://urn.nb.no/URN:NBN:no-95897 Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe . Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps. The Cryosphere. 2021, 15(11), 5169-5186 http://hdl.handle.net/10852/93348 1971049 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=The Cryosphere&rft.volume=15&rft.spage=5169&rft.date=2021 The Cryosphere 15 11 5169 5186 https://doi.org/10.5194/tc-15-5169-2021 URN:NBN:no-95897 Fulltext https://www.duo.uio.no/bitstream/handle/10852/93348/1/nevenetal-15-5169-2021.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 1994-0416 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2021 ftoslouniv https://doi.org/10.5194/tc-15-5169-2021 2022-04-06T22:33:53Z Abstract. Ground-penetrating radar (GPR) is widely used for determining mountain glacier thickness. However, this method provides thickness data only along the acquisition lines, and therefore interpolation has to be made between them. Depending on the interpolation strategy, calculated ice volumes can differ and can lack an accurate error estimation. Furthermore, glacial basal topography is often characterized by complex geomorphological features, which can be hard to reproduce using classical interpolation methods, especially when the field data are sparse or when the morphological features are too complex. This study investigates the applicability of multiple-point statistics (MPS) simulations to interpolate glacier bedrock topography using GPR measurements. In 2018, a dense GPR data set was acquired on the Tsanfleuron Glacier (Switzerland). These data were used as the source for a bedrock interpolation. The results obtained with the direct-sampling MPS method are compared against those obtained with kriging and sequential Gaussian simulations (SGSs) on both a synthetic data set – with known reference volume and bedrock topography – and the real data underlying the Tsanfleuron Glacier. Using the MPS modeled bedrock, the ice volume for the Scex Rouge and Tsanfleuron glaciers is estimated to be 113.9 ± 1.6 million cubic meters. The direct-sampling approach, unlike the SGS and kriging, allowed not only an accurate volume estimation but also the generation of a set of realistic bedrock simulations. The complex karstic geomorphological features are reproduced and can be used to significantly improve for example the precision of subglacial flow estimation. Article in Journal/Newspaper The Cryosphere Universitet i Oslo: Digitale utgivelser ved UiO (DUO) The Cryosphere 15 11 5169 5186 |
institution |
Open Polar |
collection |
Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
op_collection_id |
ftoslouniv |
language |
English |
description |
Abstract. Ground-penetrating radar (GPR) is widely used for determining mountain glacier thickness. However, this method provides thickness data only along the acquisition lines, and therefore interpolation has to be made between them. Depending on the interpolation strategy, calculated ice volumes can differ and can lack an accurate error estimation. Furthermore, glacial basal topography is often characterized by complex geomorphological features, which can be hard to reproduce using classical interpolation methods, especially when the field data are sparse or when the morphological features are too complex. This study investigates the applicability of multiple-point statistics (MPS) simulations to interpolate glacier bedrock topography using GPR measurements. In 2018, a dense GPR data set was acquired on the Tsanfleuron Glacier (Switzerland). These data were used as the source for a bedrock interpolation. The results obtained with the direct-sampling MPS method are compared against those obtained with kriging and sequential Gaussian simulations (SGSs) on both a synthetic data set – with known reference volume and bedrock topography – and the real data underlying the Tsanfleuron Glacier. Using the MPS modeled bedrock, the ice volume for the Scex Rouge and Tsanfleuron glaciers is estimated to be 113.9 ± 1.6 million cubic meters. The direct-sampling approach, unlike the SGS and kriging, allowed not only an accurate volume estimation but also the generation of a set of realistic bedrock simulations. The complex karstic geomorphological features are reproduced and can be used to significantly improve for example the precision of subglacial flow estimation. |
format |
Article in Journal/Newspaper |
author |
Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe |
spellingShingle |
Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
author_facet |
Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe |
author_sort |
Neven, Alexis |
title |
Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
title_short |
Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
title_full |
Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
title_fullStr |
Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
title_full_unstemmed |
Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps |
title_sort |
ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: application to the tsanfleuron and scex rouge glaciers, swiss alps |
publisher |
Copernicus Publications under license by EGU – European Geosciences Union GmbH |
publishDate |
2021 |
url |
http://hdl.handle.net/10852/93348 http://urn.nb.no/URN:NBN:no-95897 https://doi.org/10.5194/tc-15-5169-2021 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
1994-0416 |
op_relation |
http://urn.nb.no/URN:NBN:no-95897 Neven, Alexis Dallalba, Valentin Juda, Przemyslaw Straubhaar, Julien Renard, Philippe . Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: Application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps. The Cryosphere. 2021, 15(11), 5169-5186 http://hdl.handle.net/10852/93348 1971049 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=The Cryosphere&rft.volume=15&rft.spage=5169&rft.date=2021 The Cryosphere 15 11 5169 5186 https://doi.org/10.5194/tc-15-5169-2021 URN:NBN:no-95897 Fulltext https://www.duo.uio.no/bitstream/handle/10852/93348/1/nevenetal-15-5169-2021.pdf |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-15-5169-2021 |
container_title |
The Cryosphere |
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15 |
container_issue |
11 |
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5169 |
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5186 |
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