Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements
International audience Abstract Spatio-temporal variability of the winter surface mass balance is a major uncertainty in the modelling of annual surface mass balance. Moreover, its measurement at high spatio-temporal resolution (sub-200 m) is very useful to force, calibrate or validate models. This...
Published in: | Journal of Glaciology |
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Main Authors: | , , , , , , |
Other Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2020
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Online Access: | https://hal.science/hal-04381085 https://hal.science/hal-04381085/document https://hal.science/hal-04381085/file/spatio-temporal-variability-of-surface-mass-balance-in-the-accumulation-zone-of-the-mer-de-glace-french-alps-from-multitemporal-terrestrial-lidar-measurements.pdf https://doi.org/10.1017/jog.2020.92 |
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openpolar |
institution |
Open Polar |
collection |
Université Grenoble Alpes: HAL |
op_collection_id |
ftunigrenoble |
language |
English |
topic |
Glacier mass balance glaciological instruments and methods mountain glaciers [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
spellingShingle |
Glacier mass balance glaciological instruments and methods mountain glaciers [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] Réveillet, Marion Vincent, Christian Six, Delphine Rabatel, Antoine Sanchez, Olivier Piard, Luc Laarman, Olivier Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
topic_facet |
Glacier mass balance glaciological instruments and methods mountain glaciers [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
description |
International audience Abstract Spatio-temporal variability of the winter surface mass balance is a major uncertainty in the modelling of annual surface mass balance. Moreover, its measurement at high spatio-temporal resolution (sub-200 m) is very useful to force, calibrate or validate models. This study presents the results of year-round field campaigns to study the evolution of the surface mass balance in a ~2 km 2 portion of the accumulation zone of the Mer de Glace (France). It is based on repeated LiDAR acquisitions, submergence-velocity measurements and meteorological records. The two methods used to quantify submergence velocities show good agreement. They present a linear temporal evolution without significant seasonal changes but display significant spatial variability. We conclude that a dense network of submergence velocity measurements is required to reduce the uncertainties when computing winter and annual surface mass balance from digital elevation model differencing. Finally, a hight spatio-temporal variability of the winter surface mass balance is highlighted (e.g., a std dev. of 0.92 m in April) even though the topography is homogeneous (std dev. of 25 m). Attempts to relate this variability to different morpho-topographic variables and wind-related indexes show the need for studies conducted at the snowfall event scale to obtain a better understanding of the variability in mass balance at the glacier scale. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) 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)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-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)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) |
format |
Article in Journal/Newspaper |
author |
Réveillet, Marion Vincent, Christian Six, Delphine Rabatel, Antoine Sanchez, Olivier Piard, Luc Laarman, Olivier |
author_facet |
Réveillet, Marion Vincent, Christian Six, Delphine Rabatel, Antoine Sanchez, Olivier Piard, Luc Laarman, Olivier |
author_sort |
Réveillet, Marion |
title |
Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
title_short |
Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
title_full |
Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
title_fullStr |
Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
title_full_unstemmed |
Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements |
title_sort |
spatio-temporal variability of surface mass balance in the accumulation zone of the mer de glace, french alps, from multitemporal terrestrial lidar measurements |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.science/hal-04381085 https://hal.science/hal-04381085/document https://hal.science/hal-04381085/file/spatio-temporal-variability-of-surface-mass-balance-in-the-accumulation-zone-of-the-mer-de-glace-french-alps-from-multitemporal-terrestrial-lidar-measurements.pdf https://doi.org/10.1017/jog.2020.92 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04381085 Journal of Glaciology, 2020, 67 (261), pp.137-146. ⟨10.1017/jog.2020.92⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2020.92 hal-04381085 https://hal.science/hal-04381085 https://hal.science/hal-04381085/document https://hal.science/hal-04381085/file/spatio-temporal-variability-of-surface-mass-balance-in-the-accumulation-zone-of-the-mer-de-glace-french-alps-from-multitemporal-terrestrial-lidar-measurements.pdf doi:10.1017/jog.2020.92 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1017/jog.2020.92 |
container_title |
Journal of Glaciology |
container_volume |
67 |
container_issue |
261 |
container_start_page |
137 |
op_container_end_page |
146 |
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1796312285922197504 |
spelling |
ftunigrenoble:oai:HAL:hal-04381085v1 2024-04-14T08:14:09+00:00 Spatio-temporal variability of surface mass balance in the accumulation zone of the Mer de Glace, French Alps, from multitemporal terrestrial LiDAR measurements Réveillet, Marion Vincent, Christian Six, Delphine Rabatel, Antoine Sanchez, Olivier Piard, Luc Laarman, Olivier Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) 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)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-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)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) 2020-12-02 https://hal.science/hal-04381085 https://hal.science/hal-04381085/document https://hal.science/hal-04381085/file/spatio-temporal-variability-of-surface-mass-balance-in-the-accumulation-zone-of-the-mer-de-glace-french-alps-from-multitemporal-terrestrial-lidar-measurements.pdf https://doi.org/10.1017/jog.2020.92 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2020.92 hal-04381085 https://hal.science/hal-04381085 https://hal.science/hal-04381085/document https://hal.science/hal-04381085/file/spatio-temporal-variability-of-surface-mass-balance-in-the-accumulation-zone-of-the-mer-de-glace-french-alps-from-multitemporal-terrestrial-lidar-measurements.pdf doi:10.1017/jog.2020.92 info:eu-repo/semantics/OpenAccess ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04381085 Journal of Glaciology, 2020, 67 (261), pp.137-146. ⟨10.1017/jog.2020.92⟩ Glacier mass balance glaciological instruments and methods mountain glaciers [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2020 ftunigrenoble https://doi.org/10.1017/jog.2020.92 2024-03-21T16:07:50Z International audience Abstract Spatio-temporal variability of the winter surface mass balance is a major uncertainty in the modelling of annual surface mass balance. Moreover, its measurement at high spatio-temporal resolution (sub-200 m) is very useful to force, calibrate or validate models. This study presents the results of year-round field campaigns to study the evolution of the surface mass balance in a ~2 km 2 portion of the accumulation zone of the Mer de Glace (France). It is based on repeated LiDAR acquisitions, submergence-velocity measurements and meteorological records. The two methods used to quantify submergence velocities show good agreement. They present a linear temporal evolution without significant seasonal changes but display significant spatial variability. We conclude that a dense network of submergence velocity measurements is required to reduce the uncertainties when computing winter and annual surface mass balance from digital elevation model differencing. Finally, a hight spatio-temporal variability of the winter surface mass balance is highlighted (e.g., a std dev. of 0.92 m in April) even though the topography is homogeneous (std dev. of 25 m). Attempts to relate this variability to different morpho-topographic variables and wind-related indexes show the need for studies conducted at the snowfall event scale to obtain a better understanding of the variability in mass balance at the glacier scale. Article in Journal/Newspaper Journal of Glaciology Université Grenoble Alpes: HAL Journal of Glaciology 67 261 137 146 |