Articles | Volume 16, issue 19
https://doi.org/10.5194/gmd-16-5627-2023
https://doi.org/10.5194/gmd-16-5627-2023
Development and technical paper
 | 
10 Oct 2023
Development and technical paper |  | 10 Oct 2023

Modeling sensitivities of thermally and hydraulically driven ice stream surge cycling

Kevin Hank, Lev Tarasov, and Elisa Mantelli

Related authors

The Antarctic Ice Sheet sliding law inferred from seismic observations
Kevin Hank, Robert J. Arthern, C. Rosie Williams, Alex M. Brisbourne, Andrew M. Smith, James A. Smith, Anna Wåhlin, and Sridhar Anandakrishnan
EGUsphere, https://doi.org/10.5194/egusphere-2025-764,https://doi.org/10.5194/egusphere-2025-764, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
The glacial systems model (GSM) Version 24G
Lev Tarasov, Benoit S. Lecavalier, Kevin Hank, and David Pollard
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-175,https://doi.org/10.5194/gmd-2024-175, 2025
Preprint under review for GMD
Short summary
The comparative role of physical system processes in Hudson Strait ice stream cycling: a comprehensive model-based test of Heinrich event hypotheses
Kevin Hank and Lev Tarasov
Clim. Past, 20, 2499–2524, https://doi.org/10.5194/cp-20-2499-2024,https://doi.org/10.5194/cp-20-2499-2024, 2024
Short summary

Related subject area

Cryosphere
Towards deep-learning solutions for classification of automated snow height measurements (CleanSnow v1.0.2)
Jan Svoboda, Marc Ruesch, David Liechti, Corinne Jones, Michele Volpi, Michael Zehnder, and Jürg Schweizer
Geosci. Model Dev., 18, 1829–1849, https://doi.org/10.5194/gmd-18-1829-2025,https://doi.org/10.5194/gmd-18-1829-2025, 2025
Short summary
Quantitative sub-ice and marine tracing of Antarctic sediment provenance (TASP v1.0)
James W. Marschalek, Edward Gasson, Tina van de Flierdt, Claus-Dieter Hillenbrand, Martin J. Siegert, and Liam Holder
Geosci. Model Dev., 18, 1673–1708, https://doi.org/10.5194/gmd-18-1673-2025,https://doi.org/10.5194/gmd-18-1673-2025, 2025
Short summary
Tuning parameters of a sea ice model using machine learning
Anton Korosov, Yue Ying, and Einar Ólason
Geosci. Model Dev., 18, 885–904, https://doi.org/10.5194/gmd-18-885-2025,https://doi.org/10.5194/gmd-18-885-2025, 2025
Short summary
WRF-Chem simulations of snow nitrate and other physicochemical properties in northern China
Xia Wang, Tao Che, Xueyin Ruan, Shanna Yue, Jing Wang, Chun Zhao, and Lei Geng
Geosci. Model Dev., 18, 651–670, https://doi.org/10.5194/gmd-18-651-2025,https://doi.org/10.5194/gmd-18-651-2025, 2025
Short summary
Clustering simulated snow profiles to form avalanche forecast regions
Simon Horton, Florian Herla, and Pascal Haegeli
Geosci. Model Dev., 18, 193–209, https://doi.org/10.5194/gmd-18-193-2025,https://doi.org/10.5194/gmd-18-193-2025, 2025
Short summary

Cited articles

Andrews, J. T. and MacLean, B.: Hudson Strait ice streams: A review of stratigraphy, chronology and links with North Atlantic Heinrich events, Boreas, 32, 4–17, https://doi.org/10.1080/03009480310001010, 2003. a
Arakawa, A. and Lamb, V. R.: Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model, in: General Circulation Models of the Atmosphere, edited by CHANG, J., vol. 17 of Methods in Computational Physics: Advances in Research and Applications, Elsevier, 173–265, https://doi.org/10.1016/B978-0-12-460817-7.50009-4, 1977. a, b
Bahadory, T. and Tarasov, L.: LCice 1.0 – a generalized Ice Sheet System Model coupler for LOVECLIM version 1.3: description, sensitivities, and validation with the Glacial Systems Model (GSM version D2017.aug17), Geosci. Model Dev., 11, 3883–3902, https://doi.org/10.5194/gmd-11-3883-2018, 2018. a, b
Barnes, P., Tabor, D., and Walker, J. C. F.: The Friction and Creep of Polycrystalline Ice, P. Roy. Soc. Lond. A, 324, 127–155, 1971. a, b, c
Benn, D. I., Fowler, A. C., Hewitt, I., and Sevestre, H.: A general theory of glacier surges, J. Glaciol., 65, 701–716, https://doi.org/10.1017/jog.2019.62, 2019. a
Download
Short summary
Physically meaningful modeling of geophysical system instabilities is numerically challenging, given the potential effects of purely numerical artifacts. Here we explore the sensitivity of ice stream surge activation to numerical and physical model aspects. We find that surge characteristics exhibit a resolution dependency but converge at higher horizontal grid resolutions and are significantly affected by the incorporation of bed thermal and sub-glacial hydrology models.
Share