Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4929-2021
https://doi.org/10.5194/tc-15-4929-2021
Research article
 | 
25 Oct 2021
Research article |  | 25 Oct 2021

Nunataks as barriers to ice flow: implications for palaeo ice sheet reconstructions

Martim Mas e Braga, Richard Selwyn Jones, Jennifer C. H. Newall, Irina Rogozhina, Jane L. Andersen, Nathaniel A. Lifton, and Arjen P. Stroeven

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Cited articles

Ackert, R. P., Barclay, D. J., Borns, H. W., Calkin, P. E., Kurz, M. D., Fastook, J. L., and Steig, E. J.: Measurements of past ice sheet elevations in interior West Antarctica, Science, 286, 276–280, https://doi.org/10.1126/science.286.5438.276, 1999. a
Ackert, R. P., Mukhopadhyay, S., Parizek, B. R., and Borns, H. W.: Ice elevation near the West Antarctic Ice Sheet divide during the Last Glaciation, Geophys. Res. Lett., 34, GL031412, https://doi.org/10.1029/2007GL031412, 2007. a
Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., van de Berg, W. J., and Fettweis, X.: Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, 13, 281–296, https://doi.org/10.5194/tc-13-281-2019, 2019. a
Åkesson, H., Morlighem, M., Nisancioglu, K. H., Svendsen, J. I., and Mangerud, J.: Atmosphere-driven ice sheet mass loss paced by topography: Insights from modelling the south-western Scandinavian Ice Sheet, Quaternary Sci. Rev., 195, 32–47, https://doi.org/10.1016/j.quascirev.2018.07.004, 2018. a
Albrecht, T., Winkelmann, R., and Levermann, A.: Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) – Part 2: Parameter ensemble analysis, The Cryosphere, 14, 633–656, https://doi.org/10.5194/tc-14-633-2020, 2020. a, b
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Short summary
Mountains higher than the ice surface are sampled to know when the ice reached the sampled elevation, which can be used to guide numerical models. This is important to understand how much ice will be lost by ice sheets in the future. We use a simple model to understand how ice flow around mountains affects the ice surface topography and show how much this influences results from field samples. We also show that models need a finer resolution over mountainous areas to better match field samples.
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