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

Related authors

CMIP7 Data Request: Land and Land Ice Priorities and Opportunities
Yue Li, Gang Tang, Eleanor O’Rourke, Samar Minallah, Martim Mas e Braga, Sophie Nowicki, Robin S. Smith, David M. Lawrence, George C. Hurtt, Daniele Peano, Gesa Meyer, Birgit Hassler, Jiafu Mao, Yongkang Xue, and Martin Juckes
EGUsphere, https://doi.org/10.5194/egusphere-2025-3207,https://doi.org/10.5194/egusphere-2025-3207, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
FjordRPM v1.0: a reduced-physics model for efficient simulation of glacial fjords
Donald Alexander Slater, Eleanor Johnstone, Martim Mas e Braga, Neil Fraser, Tom Cowton, and Mark Inall
EGUsphere, https://doi.org/10.5194/egusphere-2024-3934,https://doi.org/10.5194/egusphere-2024-3934, 2025
Short summary
Sensitivity of the Antarctic ice sheets to the warming of marine isotope substage 11c
Martim Mas e Braga, Jorge Bernales, Matthias Prange, Arjen P. Stroeven, and Irina Rogozhina
The Cryosphere, 15, 459–478, https://doi.org/10.5194/tc-15-459-2021,https://doi.org/10.5194/tc-15-459-2021, 2021
Short summary

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
Download
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.
Share