Articles | Volume 11, issue 5
https://doi.org/10.5194/tc-11-2213-2017
https://doi.org/10.5194/tc-11-2213-2017
Research article
 | 
18 Sep 2017
Research article |  | 18 Sep 2017

Regional modeling of the Shirase drainage basin, East Antarctica: full Stokes vs. shallow ice dynamics

Hakime Seddik, Ralf Greve, Thomas Zwinger, and Shin Sugiyama

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Cited articles

Amestoy, P. R., Duff, I. S., Koster, J., and L'Excellent, J.-Y.: A fully asynchronous multifrontal solver using distributed dynamic scheduling, SIAM J. Matrix Anal. Appl., 23, 15–41, 2001.
Amestoy, P. R., Guermouche, A., L'Excellent, J.-Y., and Pralet, S.: Hybrid scheduling for the parallel solution of linear systems, Parallel Comput., 32, 136–156, 2006.
Arthern, R. J., Winebrenner, D. P., and Vaughan, D. G.: Antarctic snow accumulation mapped using polarization of 4.3-cm wavelength microwave emission, J. Geophys. Res., 111, D06107, https://doi.org/10.1029/2004JD005667, 2006.
Bamber, J. L., Gomez-Dans, J. L., and Griggs, J. A.: A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods, The Cryosphere, 3, 101–111, https://doi.org/10.5194/tc-3-101-2009, 2009.
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Short summary
The Shirase Glacier in Antarctica is studied by means of a computer model. This model implements two physical approaches to represent the glacier flow dynamics. This study finds that it is important to use the more precise and sophisticated method in order to better understand and predict the evolution of fast flowing glaciers. This may be important to more accurately predict the sea level change due to global warming.