Articles | Volume 4, issue 1
https://doi.org/10.5194/esurf-4-159-2016
https://doi.org/10.5194/esurf-4-159-2016
Research article
 | 
02 Feb 2016
Research article |  | 02 Feb 2016

Basal shear stress under alpine glaciers: insights from experiments using the iSOSIA and Elmer/Ice models

C. F. Brædstrup, D. L. Egholm, S. V. Ugelvig, and V. K. Pedersen

Related authors

A new methodology to simulate subglacial deformation of water-saturated granular material
A. Damsgaard, D. L. Egholm, J. A. Piotrowski, S. Tulaczyk, N. K. Larsen, and C. F. Brædstrup
The Cryosphere, 9, 2183–2200, https://doi.org/10.5194/tc-9-2183-2015,https://doi.org/10.5194/tc-9-2183-2015, 2015
Short summary

Related subject area

Physical: Landscape Evolution: modelling and field studies
Hillslope diffusion and channel steepness in landscape evolution models
David G. Litwin, Luca C. Malatesta, and Leonard S. Sklar
Earth Surf. Dynam., 13, 277–293, https://doi.org/10.5194/esurf-13-277-2025,https://doi.org/10.5194/esurf-13-277-2025, 2025
Short summary
Channel concavity controls planform complexity of branching drainage networks
Liran Goren and Eitan Shelef
Earth Surf. Dynam., 12, 1347–1369, https://doi.org/10.5194/esurf-12-1347-2024,https://doi.org/10.5194/esurf-12-1347-2024, 2024
Short summary
Knickpoints and fixed points: the evolution of fluvial morphology under the combined effect of fault uplift and dam obstruction on a soft bedrock river
Hung-En Chen, Yen-Yu Chiu, Chih-Yuan Cheng, and Su-Chin Chen
Earth Surf. Dynam., 12, 1329–1346, https://doi.org/10.5194/esurf-12-1329-2024,https://doi.org/10.5194/esurf-12-1329-2024, 2024
Short summary
GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for landscape evolution models
Boris Gailleton, Philippe Steer, Philippe Davy, Wolfgang Schwanghart, and Thomas Bernard
Earth Surf. Dynam., 12, 1295–1313, https://doi.org/10.5194/esurf-12-1295-2024,https://doi.org/10.5194/esurf-12-1295-2024, 2024
Short summary
Short Communication: Numerically simulated time to steady state is not a reliable measure of landscape response time
Nicole M. Gasparini, Adam M. Forte, and Katherine R. Barnhart
Earth Surf. Dynam., 12, 1227–1242, https://doi.org/10.5194/esurf-12-1227-2024,https://doi.org/10.5194/esurf-12-1227-2024, 2024
Short summary

Cited articles

Adhikari, S., and Marshall, S. J.: Influence of high-order mechanics on simulation of glacier response to climate change: insights from Haig Glacier, Canadian Rocky Mountains, The Cryosphere, 7, 1527–1541, https://doi.org/10.5194/tc-7-1527-2013, 2013.
Ahlkrona, J., Kirchner, N., and Lötstedt, P.: Accuracy of the zeroth- and second-order shallow ice approximation – numerical and theoretical results, Geosci. Model Dev., 6, 2135–2152, https://doi.org/10.5194/gmd-6-2135-2013, 2013.
Anderson, R. S., Molnar, P., and Kessler, M. A.: Features of glacial valley profiles simply explained, J. Geophys. Res.-Earth, 111, F01004, https://doi.org/10.1029/2005JF000344, 2006.
Baral, D. R., Hutter, K., and Greve, R.: Asymptotic theories of large-scale motion, temperature, and moisture distribution in land-based polythermal ice sheets: a critical review and new developments, Appl. Mech. Rev., 54, 215–256, 2001.
Beaud, F., Flowers, G. E., and Pimentel, S.: Seasonal-scale abrasion and quarrying patterns from a two-dimensional ice-flow model coupled to distributed and channelized subglacial drainage, Geomorphology, 219, 176–191, 2014.
Download
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.
Share