Articles | Volume 4, issue 1
https://doi.org/10.5194/esurf-4-159-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-4-159-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Basal shear stress under alpine glaciers: insights from experiments using the iSOSIA and Elmer/Ice models
C. F. Brædstrup
CORRESPONDING AUTHOR
Department of Geoscience, Aarhus University, Høegh-Guldbergs gade 2, 8000 Aarhus, Denmark
D. L. Egholm
CORRESPONDING AUTHOR
Department of Geoscience, Aarhus University, Høegh-Guldbergs gade 2, 8000 Aarhus, Denmark
S. V. Ugelvig
Department of Geoscience, Aarhus University, Høegh-Guldbergs gade 2, 8000 Aarhus, Denmark
V. K. Pedersen
Department of Earth Sciences, University of Bergen, Allégaten 41, 5007 Bergen, Norway
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- Topographic signatures of progressive glacial landscape transformation M. Liebl et al. 10.1002/esp.5139
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- Alpine relief limited by glacial occupation time B. Salcher et al. 10.1130/G48639.1
- Modeling large‐scale landform evolution with a stream power law for glacial erosion (OpenLEM v37): benchmarking experiments against a more process-based description of ice flow (iSOSIA v3.4.3) M. Liebl et al. 10.5194/gmd-16-1315-2023
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- The influence of basal-ice debris on patterns and rates of glacial erosion S. Ugelvig & D. Egholm 10.1016/j.epsl.2018.03.022
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- Basal hydrofractures near sticky patches H. Zhang et al. 10.1017/jog.2022.75
- Timing and dynamics of glaciation in the Ikh Turgen Mountains, Altai region, High Asia R. Blomdin et al. 10.1016/j.quageo.2018.05.008
- Nonlinear forcing of climate on mountain denudation during glaciations A. Mariotti et al. 10.1038/s41561-020-00672-2
- Modelling a paleo valley glacier network using a hybrid model: an assessment with a Stokes ice flow model M. Imhof et al. 10.1017/jog.2019.77
1 citations as recorded by crossref.
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Latest update: 21 Nov 2024
Short summary
When studying long-term glacial landscape evolution one must make simplifying assumptions about the nature of glacial flow. In this study we show that for two different numerical models such simplifications are mostly unimportant in the setting of glacial landscape evolution. Following this we find that glacial erosion is most intense in the early stages of glaciation and its effects are reduced with time due to flow patterns in the ice removing areas of highest resistance to flow.
When studying long-term glacial landscape evolution one must make simplifying assumptions about...