An optimized method to calculate the geodetic mass balance of mountain glaciers
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 t...
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ftdoajarticles:oai:doaj.org/article:cd2f541159444af19e9e75752e673c8b 2023-05-15T16:57:32+02:00 An optimized method to calculate the geodetic mass balance of mountain glaciers RUBÉN BASANTES-SERRANO ANTOINE RABATEL CHRISTIAN VINCENT PASCAL SIRGUEY 2018-12-01T00:00:00Z https://doi.org/10.1017/jog.2018.79 https://doaj.org/article/cd2f541159444af19e9e75752e673c8b EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143018000795/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2018.79 0022-1430 1727-5652 https://doaj.org/article/cd2f541159444af19e9e75752e673c8b Journal of Glaciology, Vol 64, Pp 917-931 (2018) glacier mass balance glacier volume glaciological instruments and methods remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2018 ftdoajarticles https://doi.org/10.1017/jog.2018.79 2023-03-12T01:30:59Z 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 Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 64 248 917 931 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
glacier mass balance glacier volume glaciological instruments and methods remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
glacier mass balance glacier volume glaciological instruments and methods remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 RUBÉN BASANTES-SERRANO ANTOINE RABATEL CHRISTIAN VINCENT PASCAL SIRGUEY 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 Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
RUBÉN BASANTES-SERRANO ANTOINE RABATEL CHRISTIAN VINCENT PASCAL SIRGUEY |
author_facet |
RUBÉN BASANTES-SERRANO ANTOINE RABATEL CHRISTIAN VINCENT PASCAL SIRGUEY |
author_sort |
RUBÉN BASANTES-SERRANO |
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 |
Cambridge University Press |
publishDate |
2018 |
url |
https://doi.org/10.1017/jog.2018.79 https://doaj.org/article/cd2f541159444af19e9e75752e673c8b |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 64, Pp 917-931 (2018) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143018000795/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2018.79 0022-1430 1727-5652 https://doaj.org/article/cd2f541159444af19e9e75752e673c8b |
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 |
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1766049105353637888 |