Exploiting high-slip flow regimes to improve inference of glacier bed topography
International audience Theory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inver...
Published in: | Journal of Glaciology |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://hal.science/hal-04240456 https://hal.science/hal-04240456/document https://hal.science/hal-04240456/file/exploiting-high-slip-flow-regimes-to-improve-inference-of-glacier-bed-topography.pdf https://doi.org/10.1017/jog.2022.121 |
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ftmeteofrance:oai:HAL:hal-04240456v1 2024-09-15T18:08:00+00:00 Exploiting high-slip flow regimes to improve inference of glacier bed topography Morin, Alexi Flowers, Gwenn Nolan, Andrew Brinkerhoff, Douglas Berthier, Etienne Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2023-06 https://hal.science/hal-04240456 https://hal.science/hal-04240456/document https://hal.science/hal-04240456/file/exploiting-high-slip-flow-regimes-to-improve-inference-of-glacier-bed-topography.pdf https://doi.org/10.1017/jog.2022.121 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2022.121 hal-04240456 https://hal.science/hal-04240456 https://hal.science/hal-04240456/document https://hal.science/hal-04240456/file/exploiting-high-slip-flow-regimes-to-improve-inference-of-glacier-bed-topography.pdf doi:10.1017/jog.2022.121 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04240456 Journal of Glaciology, 2023, 69 (275), pp.658-664. ⟨10.1017/jog.2022.121⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2023 ftmeteofrance https://doi.org/10.1017/jog.2022.121 2024-06-25T00:04:54Z International audience Theory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inversion scheme and apply it to real and synthetic data as a proof of concept. Synthetic tests show a reduction in mean RMSE between true and inferred beds by more than half, and an increase in the mean correlation coefficient of ~0.5, when data from slip- versus deformation-dominated regimes are used. Multi-epoch inversions, which partition slip- and deformation-dominated regimes, are shown to outperform inversions that average over these flow regimes thereby squandering information. Tests with real data from a surging glacier in Yukon, Canada, corroborate these results, while highlighting the challenges of limited or inconsistent data. With the growing torrent of satellite-based observations, fast-flow events such as glacier surges offer potential to improve bed estimation for some of the world's most dynamic glaciers. Article in Journal/Newspaper glacier* Journal of Glaciology Yukon Météo-France: HAL Journal of Glaciology 69 275 658 664 |
institution |
Open Polar |
collection |
Météo-France: HAL |
op_collection_id |
ftmeteofrance |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Morin, Alexi Flowers, Gwenn Nolan, Andrew Brinkerhoff, Douglas Berthier, Etienne Exploiting high-slip flow regimes to improve inference of glacier bed topography |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience Theory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inversion scheme and apply it to real and synthetic data as a proof of concept. Synthetic tests show a reduction in mean RMSE between true and inferred beds by more than half, and an increase in the mean correlation coefficient of ~0.5, when data from slip- versus deformation-dominated regimes are used. Multi-epoch inversions, which partition slip- and deformation-dominated regimes, are shown to outperform inversions that average over these flow regimes thereby squandering information. Tests with real data from a surging glacier in Yukon, Canada, corroborate these results, while highlighting the challenges of limited or inconsistent data. With the growing torrent of satellite-based observations, fast-flow events such as glacier surges offer potential to improve bed estimation for some of the world's most dynamic glaciers. |
author2 |
Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Morin, Alexi Flowers, Gwenn Nolan, Andrew Brinkerhoff, Douglas Berthier, Etienne |
author_facet |
Morin, Alexi Flowers, Gwenn Nolan, Andrew Brinkerhoff, Douglas Berthier, Etienne |
author_sort |
Morin, Alexi |
title |
Exploiting high-slip flow regimes to improve inference of glacier bed topography |
title_short |
Exploiting high-slip flow regimes to improve inference of glacier bed topography |
title_full |
Exploiting high-slip flow regimes to improve inference of glacier bed topography |
title_fullStr |
Exploiting high-slip flow regimes to improve inference of glacier bed topography |
title_full_unstemmed |
Exploiting high-slip flow regimes to improve inference of glacier bed topography |
title_sort |
exploiting high-slip flow regimes to improve inference of glacier bed topography |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04240456 https://hal.science/hal-04240456/document https://hal.science/hal-04240456/file/exploiting-high-slip-flow-regimes-to-improve-inference-of-glacier-bed-topography.pdf https://doi.org/10.1017/jog.2022.121 |
genre |
glacier* Journal of Glaciology Yukon |
genre_facet |
glacier* Journal of Glaciology Yukon |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04240456 Journal of Glaciology, 2023, 69 (275), pp.658-664. ⟨10.1017/jog.2022.121⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2022.121 hal-04240456 https://hal.science/hal-04240456 https://hal.science/hal-04240456/document https://hal.science/hal-04240456/file/exploiting-high-slip-flow-regimes-to-improve-inference-of-glacier-bed-topography.pdf doi:10.1017/jog.2022.121 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1017/jog.2022.121 |
container_title |
Journal of Glaciology |
container_volume |
69 |
container_issue |
275 |
container_start_page |
658 |
op_container_end_page |
664 |
_version_ |
1810445358441955328 |