An optimized method to calculate the geodetic mass balance of mountain glaciers
International audience Understanding the effects of climate on glaciers requires precise estimates of ice volume change over several decades. This is achieved by the geodetic mass balance computed by two means: (1) the digital elevation model (DEM) comparison (SeqDEM) allows measurements over the en...
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
2018
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Online Access: | https://hal.science/hal-04381102 https://hal.science/hal-04381102/document https://hal.science/hal-04381102/file/an-optimized-method-to-calculate-the-geodetic-mass-balance-of-mountain-glaciers.pdf https://doi.org/10.1017/jog.2018.79 |
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ftunivsavoie:oai:HAL:hal-04381102v1 |
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openpolar |
institution |
Open Polar |
collection |
Université Savoie Mont Blanc: HAL |
op_collection_id |
ftunivsavoie |
language |
English |
topic |
glacier mass balance glacier volume glaciological instruments and methods remote sensing glacier mass balance glacier volume glaciological instruments and methods remote sensing [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
spellingShingle |
glacier mass balance glacier volume glaciological instruments and methods remote sensing glacier mass balance glacier volume glaciological instruments and methods remote sensing [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] Basantes-Serrano, Rubén Rabatel, Antoine Vincent, Christian Sirguey, Pascal An optimized method to calculate the geodetic mass balance of mountain glaciers |
topic_facet |
glacier mass balance glacier volume glaciological instruments and methods remote sensing glacier mass balance glacier volume glaciological instruments and methods remote sensing [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
description |
International audience Understanding the effects of climate on glaciers requires precise estimates of ice volume change over several decades. This is achieved by the geodetic mass balance computed by two means: (1) the digital elevation model (DEM) comparison (SeqDEM) allows measurements over the entire glacier, however the low contrast over glacierized areas is an issue for the DEM generation through the photogrammetric techniques and (2) the profiling method (SePM) is a faster alternative but fails to capture the spatial variability of elevation changes. We present a new framework (SSD) that relies upon the spatial variability of the elevation change to densify a sampling network to optimize the surface-elevation change quantification. Our method was tested in two small glaciers over different periods. We conclude that the SePM overestimates the elevation change by ~20% with a mean difference of ~1.00 m (root mean square error (RMSE) = ~3.00 m) compared with results from the SeqDEM method. A variogram analysis of the elevation changes showed a mean difference of <0.10 m (RMSE = ~2.40 m) with SSD approach. A final assessment on the largest glacier in the French Alps confirms the high potential of our method to compute the geodetic mass balance, without going through the generation of a full-density DEM, but with a similar accuracy than the SeqDEM approach. |
author2 |
Laboratoire d'étude des transferts en hydrologie et environnement (LTHE) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 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 polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) University of Otago Dunedin, Nouvelle-Zélande |
format |
Article in Journal/Newspaper |
author |
Basantes-Serrano, Rubén Rabatel, Antoine Vincent, Christian Sirguey, Pascal |
author_facet |
Basantes-Serrano, Rubén Rabatel, Antoine Vincent, Christian Sirguey, Pascal |
author_sort |
Basantes-Serrano, Rubén |
title |
An optimized method to calculate the geodetic mass balance of mountain glaciers |
title_short |
An optimized method to calculate the geodetic mass balance of mountain glaciers |
title_full |
An optimized method to calculate the geodetic mass balance of mountain glaciers |
title_fullStr |
An optimized method to calculate the geodetic mass balance of mountain glaciers |
title_full_unstemmed |
An optimized method to calculate the geodetic mass balance of mountain glaciers |
title_sort |
optimized method to calculate the geodetic mass balance of mountain glaciers |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.science/hal-04381102 https://hal.science/hal-04381102/document https://hal.science/hal-04381102/file/an-optimized-method-to-calculate-the-geodetic-mass-balance-of-mountain-glaciers.pdf https://doi.org/10.1017/jog.2018.79 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04381102 Journal of Glaciology, 2018, 64 (248), pp.917-931. ⟨10.1017/jog.2018.79⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2018.79 hal-04381102 https://hal.science/hal-04381102 https://hal.science/hal-04381102/document https://hal.science/hal-04381102/file/an-optimized-method-to-calculate-the-geodetic-mass-balance-of-mountain-glaciers.pdf doi:10.1017/jog.2018.79 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1017/jog.2018.79 |
container_title |
Journal of Glaciology |
container_volume |
64 |
container_issue |
248 |
container_start_page |
917 |
op_container_end_page |
931 |
_version_ |
1797586052268949504 |
spelling |
ftunivsavoie:oai:HAL:hal-04381102v1 2024-04-28T08:26:49+00:00 An optimized method to calculate the geodetic mass balance of mountain glaciers Basantes-Serrano, Rubén Rabatel, Antoine Vincent, Christian Sirguey, Pascal Laboratoire d'étude des transferts en hydrologie et environnement (LTHE) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 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 polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) University of Otago Dunedin, Nouvelle-Zélande 2018-11-21 https://hal.science/hal-04381102 https://hal.science/hal-04381102/document https://hal.science/hal-04381102/file/an-optimized-method-to-calculate-the-geodetic-mass-balance-of-mountain-glaciers.pdf https://doi.org/10.1017/jog.2018.79 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2018.79 hal-04381102 https://hal.science/hal-04381102 https://hal.science/hal-04381102/document https://hal.science/hal-04381102/file/an-optimized-method-to-calculate-the-geodetic-mass-balance-of-mountain-glaciers.pdf doi:10.1017/jog.2018.79 info:eu-repo/semantics/OpenAccess ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-04381102 Journal of Glaciology, 2018, 64 (248), pp.917-931. ⟨10.1017/jog.2018.79⟩ glacier mass balance glacier volume glaciological instruments and methods remote sensing glacier mass balance glacier volume glaciological instruments and methods remote sensing [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2018 ftunivsavoie https://doi.org/10.1017/jog.2018.79 2024-04-11T00:26:22Z International audience Understanding the effects of climate on glaciers requires precise estimates of ice volume change over several decades. This is achieved by the geodetic mass balance computed by two means: (1) the digital elevation model (DEM) comparison (SeqDEM) allows measurements over the entire glacier, however the low contrast over glacierized areas is an issue for the DEM generation through the photogrammetric techniques and (2) the profiling method (SePM) is a faster alternative but fails to capture the spatial variability of elevation changes. We present a new framework (SSD) that relies upon the spatial variability of the elevation change to densify a sampling network to optimize the surface-elevation change quantification. Our method was tested in two small glaciers over different periods. We conclude that the SePM overestimates the elevation change by ~20% with a mean difference of ~1.00 m (root mean square error (RMSE) = ~3.00 m) compared with results from the SeqDEM method. A variogram analysis of the elevation changes showed a mean difference of <0.10 m (RMSE = ~2.40 m) with SSD approach. A final assessment on the largest glacier in the French Alps confirms the high potential of our method to compute the geodetic mass balance, without going through the generation of a full-density DEM, but with a similar accuracy than the SeqDEM approach. Article in Journal/Newspaper Journal of Glaciology Université Savoie Mont Blanc: HAL Journal of Glaciology 64 248 917 931 |