Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.713 IF 4.713
  • IF 5-year value: 4.927 IF 5-year
    4.927
  • CiteScore value: 8.0 CiteScore
    8.0
  • SNIP value: 1.425 SNIP 1.425
  • IPP value: 4.65 IPP 4.65
  • SJR value: 2.353 SJR 2.353
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 53 h5-index 53
Volume 11, issue 5
The Cryosphere, 11, 2213–2229, 2017
https://doi.org/10.5194/tc-11-2213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2213–2229, 2017
https://doi.org/10.5194/tc-11-2213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

Related authors

Initiation of a major calving event on the Bowdoin Glacier captured by UAV photogrammetry
Guillaume Jouvet, Yvo Weidmann, Julien Seguinot, Martin Funk, Takahiro Abe, Daiki Sakakibara, Hakime Seddik, and Shin Sugiyama
The Cryosphere, 11, 911–921, https://doi.org/10.5194/tc-11-911-2017,https://doi.org/10.5194/tc-11-911-2017, 2017
Short summary

Related subject area

Numerical Modelling
Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones
Takehiko Nose, Takuji Waseda, Tsubasa Kodaira, and Jun Inoue
The Cryosphere, 14, 2029–2052, https://doi.org/10.5194/tc-14-2029-2020,https://doi.org/10.5194/tc-14-2029-2020, 2020
Short summary
Ocean-forced evolution of the Amundsen Sea catchment, West Antarctica, by 2100
Alanna V. Alevropoulos-Borrill, Isabel J. Nias, Antony J. Payne, Nicholas R. Golledge, and Rory J. Bingham
The Cryosphere, 14, 1245–1258, https://doi.org/10.5194/tc-14-1245-2020,https://doi.org/10.5194/tc-14-1245-2020, 2020
Multi-physics ensemble snow modelling in the western Himalaya
David M. W. Pritchard, Nathan Forsythe, Greg O'Donnell, Hayley J. Fowler, and Nick Rutter
The Cryosphere, 14, 1225–1244, https://doi.org/10.5194/tc-14-1225-2020,https://doi.org/10.5194/tc-14-1225-2020, 2020
Short summary
Parameter sensitivity analysis of dynamic ice sheet models – numerical computations
Gong Cheng and Per Lötstedt
The Cryosphere, 14, 673–691, https://doi.org/10.5194/tc-14-673-2020,https://doi.org/10.5194/tc-14-673-2020, 2020
Short summary
Deep learning applied to glacier evolution modelling
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Clovis Galiez, Thomas Condom, and Eric Sauquet
The Cryosphere, 14, 565–584, https://doi.org/10.5194/tc-14-565-2020,https://doi.org/10.5194/tc-14-565-2020, 2020
Short summary

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.
Publications Copernicus
Download
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.
The Shirase Glacier in Antarctica is studied by means of a computer model. This model implements...
Citation