Articles | Volume 20, issue 5
https://doi.org/10.5194/tc-20-2757-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-2757-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 May 2026
Research article |
| 18 May 2026
| 18 May 2026
Ice motion across incised fjord landscapes
University of Bergen, Department of Earth Science, Bergen, Norway
now at: University of Bergen, Department of Biological Sciences, Bergen, Norway
Robert Law
University of Bergen, Department of Earth Science, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), bâtiment ALPOLE, Sion, Switzerland
Andreas Born
University of Bergen, Department of Earth Science, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Thomas Chudley
Durham University, Department of Geography, Durham, UK
Stefanie Brechtelsbauer
Stockholm University, Department of Meteorology, Stockholm, Sweden
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Katharina M. Holube, Tobias Zolles, and Andreas Born
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Cited articles
Adams, C. J. C., Iverson, N. R., Helanow, C., Zoet, L. K., and Bate, C. E.: Softening of temperate ice by interstitial water, Front. Earth Sci., 9, https://doi.org/10.3389/feart.2021.702761, 2021. a
Aschwanden, A., Bartholomaus, T. C., Brinkerhoff, D. J., and Truffer, M.: Brief communication: A roadmap towards credible projections of ice sheet contribution to sea level, The Cryosphere, 15, 5705–5715, https://doi.org/10.5194/tc-15-5705-2021, 2021. a
Barndon, S.: Supplementary data for “Ice motion across incised fjord landscapes”, Zenodo [code], https://doi.org/10.5281/zenodo.15052902, 2025. a, b
Berends, C. J., van de Wal, R. S. W., van den Akker, T., and Lipscomb, W. H.: Compensating errors in inversions for subglacial bed roughness: same steady state, different dynamic response, The Cryosphere, 17, 1585–1600, https://doi.org/10.5194/tc-17-1585-2023, 2023. a
Bernard, M., Steer, P., Gallagher, K., and Egholm, D. L.: The impact of lithology on fjord morphology, Geophys. Res. Lett., 48, e2021GL093101, https://doi.org/10.1029/2021GL093101, 2021. a
Briner, J. P., Miller, G. H., Finkel, R., and Hess, D. P.: Glacial erosion at the fjord onset zone and implications for the organization of ice flow on Baffin Island, Arctic Canada, Geomorphology, 97, 126–134, https://doi.org/10.1016/j.geomorph.2007.02.039, 2008. a
Castleman, B. A., Schlegel, N.-J., Caron, L., Larour, E., and Khazendar, A.: Derivation of bedrock topography measurement requirements for the reduction of uncertainty in ice-sheet model projections of Thwaites Glacier, The Cryosphere, 16, 761–778, https://doi.org/10.5194/tc-16-761-2022, 2022. a
Christ, A. J., Rittenour, T. M., Bierman, P. R., Keisling, B. A., Knutz, P. C., Thomsen, T. B., Keulen, N., Fosdick, J. C., Hemming, S. R., Tison, J.-L., Blard, P.-H., Steffensen, J. P., Caffee, M. W., Corbett, L. B., Dahl-Jensen, D., Dethier, D. P., Hidy, A. J., Perdrial, N., Peteet, D. M., Steig, E. J., and Thomas, E. K.: Deglaciation of northwestern Greenland during Marine Isotope Stage 11, Science, 381, 330–335, https://doi.org/10.1126/science.ade4248, 2023. a
Cook, S. J., Christoffersen, P., Todd, J., Slater, D., and Chauché, N.: Coupled modelling of subglacial hydrology and calving-front melting at Store Glacier, West Greenland , The Cryosphere, 14, 905–924, https://doi.org/10.5194/tc-14-905-2020, 2020. a
Copernicus DEM: Copernicus DEM – Global and European Digital Elevation Model, European Space Agency (ESA) [data set], https://doi.org/10.5270/ESA-c5d3d65, https://dataspace.copernicus.eu/explore-data/data-collections/copernicus-contributing-missions/collections-description/COP-DEM (last access: 18 March 2025), 2024. a
Cuffey, K. M. and Paterson, W. S. B.: The Physics of Glaciers, Butterworth-Heinemann, Academic Press, https://doi.org/10.3189/002214311796405906, 2010. a, b
Egholm, D. L., Jansen, J. D., Brædstrup, C. F., Pedersen, V. K., Andersen, J. L., Ugelvig, S. V., Larsen, N. K., and Knudsen, M. F.: Formation of plateau landscapes on glaciated continental margins, Nat. Geosci., 10, 592–597, https://doi.org/10.1038/ngeo2980, 2017. a
Florinsky, I. V.: An illustrated introduction to general geomorphometry, Prog. Phys. Geog., 41, 723–752, https://doi.org/10.1177/0309133317733667, 2017. a
Frank, T., Åkesson, H., de Fleurian, B., Morlighem, M., and Nisancioglu, K. H.: Geometric controls of tidewater glacier dynamics, The Cryosphere, 16, 581–601, https://doi.org/10.5194/tc-16-581-2022, 2022. a
Gagliardini, O., Cohen, D., Råback, P., and Zwinger, T.: Finite-element modeling of subglacial cavities and related friction law, J. Geophys. Res.-Earth, 112, https://doi.org/10.1029/2006JF000576, 2007. a, b
Gagliardini, O., Zwinger, T., Gillet-Chaulet, F., Durand, G., Favier, L., de Fleurian, B., Greve, R., Malinen, M., Martín, C., Råback, P., Ruokolainen, J., Sacchettini, M., Schäfer, M., Seddik, H., and Thies, J.: Capabilities and performance of Elmer/Ice, a new-generation ice sheet model, Geosci. Model Dev., 6, 1299–1318, https://doi.org/10.5194/gmd-6-1299-2013, 2013. a
Gee, D. G., Fossen, H., Henriksen, N., and Higgins, A. K.: From the Early Paleozoic Platforms of Baltica and Laurentia to the Caledonide Orogen of Scandinavia and Greenland, J. Int. Geosci., 31, 44–51, https://doi.org/10.18814/epiiugs/2008/v31i1/007, 2008. a
Glasser, N. F. and Ghiglione, M. C.: Structural, tectonic and glaciological controls on the evolution of fjord landscapes, Geomorphology, 105, 291–302, https://doi.org/10.1016/j.geomorph.2008.10.007, 2009. a
Glen, J. W.: The creep of polycrystalline ice, P. Roy. Soc. A-Math. Phy., 228, 519–538, 1955. a
Gudmundsson, G. H.: Basal-flow characteristics of a non-linear flow sliding frictionless over strongly undulating bedrock, J. Glaciol., 43, 80–89, https://doi.org/10.3189/S0022143000002835, 1997. a, b, c
Harbor, J. M.: Numerical modeling of the development of U-shaped valleys by glacial erosion, GSA Bulletin, 104, 1364–1375, https://doi.org/10.1130/0016-7606(1992)104<1364:NMOTDO>2.3.CO;2, 1992. a
Harbor, J. M., Hallet, B., and Raymond, C. F.: A numerical model of landform development by glacial erosion, Nature, 333, 347–349, https://doi.org/10.1038/333347a0, 1988. a
Haseloff, M., Hewitt, I. J., and Katz, R. F.: Englacial pore water localizes shear in temperate ice stream margins, J. Geophys. Res.-Earth, 124, 2521–2541, https://doi.org/10.1029/2019JF005399, 2019. a
Hindmarsh, R. C.: Sliding over anisotropic beds, Ann. Glaciol., 30, 137–145, https://doi.org/10.3189/172756400781820840, 2000. a
Iken, A.: The effect of the subglacial water pressure on the sliding velocity of a glacier in an idealized numerical model, J. Glaciol., 27, 407–421, https://doi.org/10.3189/S0022143000011448, 1981. a
Joughin, I.: MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR and Landsat, Version 4, NASA National Snow and Ice Data Center Distributed Active Archive Center [data set], https://doi.org/10.5067/RS8GFZ848ZU9, 2022. a
Joughin, I., Smith, B. E., Howat, I. M., Scambos, T., and Moon, T.: Greenland flow variability from ice-sheet-wide velocity mapping, J. Glaciol., 56, 415–430, https://doi.org/10.3189/002214310792447734, 2010. a
Jungdal-Olesen, G., Andersen, J. L., Born, A., and Pedersen, V. K.: The influence of glacial landscape evolution on Scandinavian ice-sheet dynamics and dimensions, The Cryosphere, 18, 1517–1532, https://doi.org/10.5194/tc-18-1517-2024, 2024. a, b, c, d
Kessler, M. A., Anderson, R. S., and Briner, J. P.: Fjord insertion into continental margins driven by topographic steering of ice, Nat. Geosci., 1, 365–369, https://doi.org/10.1038/ngeo201, 2008. a
Kleman, J., Hättestrand, C., Borgström, I., and Stroeven, A.: Fennoscandian palaeoglaciology reconstructed using a glacial geological inversion model, J. Glaciol., 43, 283–299, https://doi.org/10.3189/S0022143000003233, 1997. a
Kyrke-Smith, T. M., Gudmundsson, G. H., and Farrell, P. E.: Relevance of detail in basal topography for basal slipperiness inversions: a case study on Pine Island Glacier, Antarctica, Front. Earth Sci., 6, https://doi.org/10.3389/feart.2018.00033, 2018. a
Law, R., Christoffersen, P., MacKie, E., Cook, S., Haseloff, M., and Gagliardini, O.: Complex motion of Greenland Ice Sheet outlet glaciers with basal temperate ice, Science Advances, 9, eabq5180, https://doi.org/10.1126/sciadv.abq5180, 2023. a, b, c, d
Løkkegaard, A., Mankoff, K. D., Zdanowicz, C., Clow, G. D., Lüthi, M. P., Doyle, S. H., Thomsen, H. H., Fisher, D., Harper, J., Aschwanden, A., Vinther, B. M., Dahl-Jensen, D., Zekollari, H., Meierbachtol, T., McDowell, I., Humphrey, N., Solgaard, A., Karlsson, N. B., Khan, S. A., Hills, B., Law, R., Hubbard, B., Christoffersen, P., Jacquemart, M., Seguinot, J., Fausto, R. S., and Colgan, W. T.: Greenland and Canadian Arctic ice temperature profiles database, The Cryosphere, 17, 3829–3845, https://doi.org/10.5194/tc-17-3829-2023, 2023. a
MacGregor, J. A., Fahnestock, M. A., Catania, G. A., Paden, J. D., Prasad Gogineni, S., Young, S. K., Rybarski, S. C., Mabrey, A. N., Wagman, B. M., and Morlighem, M.: Radiostratigraphy and age structure of the Greenland Ice Sheet, J. Geophys. Res.-Earth, 120, 212–241, https://doi.org/10.1002/2014JF003215, 2015. a
MacGregor, J. A., Colgan, W. T., Paxman, G. J. G., Tinto, K. J., Csathó, B., Darbyshire, F. A., Fahnestock, M. A., Kokfelt, T. F., MacKie, E. J., Morlighem, M., and Sergienko, O. V.: Geologic provinces beneath the Greenland ice sheet constrained by geophysical data synthesis, Geophys. Res. Lett., 51, e2023GL107357, https://doi.org/10.1029/2023GL107357, 2024. a
Maier, N., Gimbert, F., Gillet-Chaulet, F., and Gilbert, A.: Basal traction mainly dictated by hard-bed physics over grounded regions of Greenland, The Cryosphere, 15, 1435–1451, https://doi.org/10.5194/tc-15-1435-2021, 2021. a, b
Minchew, B. and Joughin, I.: Toward a universal glacier slip law, Science, 368, 29–30, https://doi.org/10.1126/science.abb3566, 2020. a
Moffatt, H.: Viscous eddies near a sharp corner (Viscous eddy behavior near sharp corner, considering outer boundary conditions and stream function), Arch. Mech., 16, 365–372, 1964a. a
Moffatt, H. K.: Viscous and resistive eddies near a sharp corner, J. Fluid Mech., 18, 1–18, https://doi.org/10.1017/S0022112064000015, 1964b. a
Moon, T. A., Fisher, M., Stafford, T., and Thurber, A.: QGreenland (v3), National Snow and Ice Data Center [data set] https://qgreenland.org, https://doi.org/10.5281/zenodo.8247895, 2023. a
Morlighem, M., Williams, C. N., Rignot, E., An, L., Arndt, J. E., Bamber, J. L., Catania, G., Chauché, N., Dowdeswell, J. A., Dorschel, B., Fenty, I., Hogan, K., Howat, I., Hubbard, A., Jakobsson, M., Jordan, T. M., Kjeldsen, K. K., Millan, R., Mayer, L., Mouginot, J., Noël, B. P. Y., O'Cofaigh, C., Palmer, S., Rysgaard, S., Seroussi, H., Siegert, M. J., Slabon, P., Straneo, F., van den Broeke, M. R., Weinrebe, W., Wood, M., and Zinglersen, K. B.: BedMachine v3: complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation, Geophys. Res. Lett., 44, 11,051–11,061, https://doi.org/10.1002/2017GL074954, 2017. a
Nye, J. F.: The flow law of ice from measurements in glacier tunnels, laboratory experiments and the Jungfraufirn borehole experiment, P. Roy. Soc. A-Math. Phy., 219, 477–489, 1953. a
Ottesen, D., Dowdeswell, J. A., and Rise, L.: Submarine landforms and the reconstruction of fast-flowing ice streams within a large Quaternary ice sheet: the 2500-km-long Norwegian-Svalbard margin (57°–80°N), Geol. Soc. Am. Bull., 117, 1033–1050, https://doi.org/10.1130/B25577.1, 2005. a
Paxman, G. J.: Patterns of valley incision beneath the Greenland Ice Sheet revealed using automated mapping and classification, Geomorphology, 436, 108778, https://doi.org/10.1016/j.geomorph.2023.108778, 2023. a
Paxman, G. J. G., Jamieson, S. S. R., Dolan, A. M., and Bentley, M. J.: Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates, The Cryosphere, 18, 1467–1493, https://doi.org/10.5194/tc-18-1467-2024, 2024. a, b
Roldán-Blasco, J.-P., Gilbert, A., Piard, L., Gimbert, F., Vincent, C., Gagliardini, O., Togaibekov, A., Walpersdorf, A., and Maier, N.: Creep enhancement and sliding in a temperate, hard-bedded alpine glacier, The Cryosphere, 19, 267–282, https://doi.org/10.5194/tc-19-267-2025, 2025. a
Schohn, C. M., Iverson, N. R., Zoet, L. K., Fowler, J. R., and Morgan-Witts, N.: Linear-viscous flow of temperate ice, Science, 387, 182–185, https://doi.org/10.1126/science.adp7708, 2025. a
Schoof, C.: The effect of cavitation on glacier sliding, P. Roy. Soc. A-Math. Phy., 461, 609–627, https://doi.org/10.1098/rspa.2004.1350, 2005. a, b, c
Schoof, C. and Hewitt, I. J.: A model for polythermal ice incorporating gravity-driven moisture transport, J. Fluid Mech., 797, 504–535, https://doi.org/10.1017/jfm.2016.251, 2016. a
Sergienko, O. V., Creyts, T. T., and Hindmarsh, R. C. A.: Similarity of organized patterns in driving and basal stresses of Antarctic and Greenland ice sheets beneath extensive areas of basal sliding, Geophys. Res. Lett., 41, 3925–3932, https://doi.org/10.1002/2014GL059976, 2014. a
Svendsen, J. I. and Mangerud, J.: Late Weichselian and holocene sea-level history for a cross-section of western Norway, J. Quaternary Sci., 2, 113–132, https://doi.org/10.1002/jqs.3390020205, 1987. a
Tsai, V. C., Stewart, A. L., and Thompson, A. F.: Marine ice-sheet profiles and stability under Coulomb basal conditions, J. Glaciol., 61, 205–215, https://doi.org/10.3189/2015JoG14J221, 2015. a
Weertman, J.: On the sliding of glaciers, J. Glaciol., 3, 33–38, https://doi.org/10.3189/S0022143000024709, 1957. a, b
Weertman, J.: The unsolved general glacier sliding problem, J. Glaciol., 23, 97–115, https://doi.org/10.3189/S0022143000029762, 1979. a
Wernecke, A., Edwards, T. L., Holden, P. B., Edwards, N. R., and Cornford, S. L.: Quantifying the impact of bedrock topography uncertainty in Pine Island Glacier projections for this century, Geophys. Res. Lett., 49, e2021GL096589, https://doi.org/10.1029/2021GL096589, 2022. a
Young, D. A., Wright, A. P., Roberts, J. L., Warner, R. C., Young, N. W., Greenbaum, J. S., Schroeder, D. M., Holt, J. W., Sugden, D. E., Blankenship, D. D., van Ommen, T. D., and Siegert, M. J.: A dynamic early East Antarctic Ice Sheet suggested by ice-covered fjord landscapes, Nature, 474, 72–75, https://doi.org/10.1038/nature10114, 2011. a, b
Zoet, L. K. and Iverson, N. R.: A slip law for glaciers on deformable beds, Science, 368, 76–78, https://doi.org/10.1126/science.aaz1183, 2020. a
Short summary
By simulating a section of the Scandinavian Ice Sheet over a deep fjord, we aim to understand the behaviour of ice sheets over rough landscapes. For perpendicular flow, we find reduced speed within the fjord and reverse flow at its base. Comparing real and smoothed topography shows that low-resolution models fail to capture these effects. Our findings have implications for Greenland ice sheet models, as commonly used bedrock resolutions likely overlook the influence of similar rough landscapes.
By simulating a section of the Scandinavian Ice Sheet over a deep fjord, we aim to understand...
