The bedrock topography of Gries- and Findelengletscher
Knowledge of the ice thickness distribution of glaciers is important for glaciological and hydrological applications. In this contribution, we present two updated bedrock topographies and ice thickness distributions for Gries- and Findelengletscher, Switzerland. The results are based on ground-p...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
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Copernicus Publications
2018-01-01
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| Series: | Geographica Helvetica |
| Online Access: | https://www.geogr-helv.net/73/1/2018/gh-73-1-2018.pdf |
| _version_ | 1828384133446893568 |
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| author | N. Feiger N. Feiger M. Huss M. Huss S. Leinss L. Sold D. Farinotti D. Farinotti |
| author_facet | N. Feiger N. Feiger M. Huss M. Huss S. Leinss L. Sold D. Farinotti D. Farinotti |
| author_sort | N. Feiger |
| collection | DOAJ |
| description | Knowledge of the ice thickness distribution of glaciers is
important for glaciological and hydrological applications. In this
contribution, we present two updated bedrock topographies and ice thickness
distributions for Gries- and Findelengletscher, Switzerland. The results are
based on ground-penetrating radar (GPR) measurements collected in spring 2015
and already-existing data. The GPR data are analysed using ReflexW software
and interpolated by using the ice thickness estimation method (ITEM). ITEM calculates the thickness
distribution by using principles of ice flow dynamics and characteristics of
the glacier surface. We show that using such a technique has a significance
advantage compared to a direct interpolation of the measurements, especially
for glacier areas that are sparsely covered by GPR data. The uncertainties
deriving from both the interpretation of the GPR signal and the spatial
interpolation through ITEM are quantified separately, showing that, in our
case, GPR signal interpretation is a major source of uncertainty. The results
show a total glacier volume of 0.28 ± 0.06 and 1.00 ± 0.34 km<sup>3</sup> for Gries- and Findelengletscher, respectively, with
corresponding average ice thicknesses of 56.8 ± 12.7 and 56.3 ± 19.6 m. |
| first_indexed | 2024-12-10T04:59:44Z |
| format | Article |
| id | doaj.art-c340ac127bfa440c96f2f6e47d9c96e1 |
| institution | Directory Open Access Journal |
| issn | 0016-7312 2194-8798 |
| language | deu |
| last_indexed | 2024-12-10T04:59:44Z |
| publishDate | 2018-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geographica Helvetica |
| spelling | doaj.art-c340ac127bfa440c96f2f6e47d9c96e12022-12-22T02:01:26ZdeuCopernicus PublicationsGeographica Helvetica0016-73122194-87982018-01-01731910.5194/gh-73-1-2018The bedrock topography of Gries- and FindelengletscherN. Feiger0N. Feiger1M. Huss2M. Huss3S. Leinss4L. Sold5D. Farinotti6D. Farinotti7Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, SwitzerlandDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, SwitzerlandLaboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, SwitzerlandDepartment of Geosciences, University of Fribourg, Fribourg, SwitzerlandInstitute of Environmental Engineering, ETH Zurich, Zurich, SwitzerlandDepartment of Geosciences, University of Fribourg, Fribourg, SwitzerlandSwiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, SwitzerlandLaboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, SwitzerlandKnowledge of the ice thickness distribution of glaciers is important for glaciological and hydrological applications. In this contribution, we present two updated bedrock topographies and ice thickness distributions for Gries- and Findelengletscher, Switzerland. The results are based on ground-penetrating radar (GPR) measurements collected in spring 2015 and already-existing data. The GPR data are analysed using ReflexW software and interpolated by using the ice thickness estimation method (ITEM). ITEM calculates the thickness distribution by using principles of ice flow dynamics and characteristics of the glacier surface. We show that using such a technique has a significance advantage compared to a direct interpolation of the measurements, especially for glacier areas that are sparsely covered by GPR data. The uncertainties deriving from both the interpretation of the GPR signal and the spatial interpolation through ITEM are quantified separately, showing that, in our case, GPR signal interpretation is a major source of uncertainty. The results show a total glacier volume of 0.28 ± 0.06 and 1.00 ± 0.34 km<sup>3</sup> for Gries- and Findelengletscher, respectively, with corresponding average ice thicknesses of 56.8 ± 12.7 and 56.3 ± 19.6 m.https://www.geogr-helv.net/73/1/2018/gh-73-1-2018.pdf |
| spellingShingle | N. Feiger N. Feiger M. Huss M. Huss S. Leinss L. Sold D. Farinotti D. Farinotti The bedrock topography of Gries- and Findelengletscher Geographica Helvetica |
| title | The bedrock topography of Gries- and Findelengletscher |
| title_full | The bedrock topography of Gries- and Findelengletscher |
| title_fullStr | The bedrock topography of Gries- and Findelengletscher |
| title_full_unstemmed | The bedrock topography of Gries- and Findelengletscher |
| title_short | The bedrock topography of Gries- and Findelengletscher |
| title_sort | bedrock topography of gries and findelengletscher |
| url | https://www.geogr-helv.net/73/1/2018/gh-73-1-2018.pdf |
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