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

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
TC | Volume 13, issue 4
The Cryosphere, 13, 1167–1186, 2019
https://doi.org/10.5194/tc-13-1167-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 1167–1186, 2019
https://doi.org/10.5194/tc-13-1167-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Apr 2019

Research article | 09 Apr 2019

Simulating intersection angles between conjugate faults in sea ice with different viscous–plastic rheologies

Damien Ringeisen et al.

Related authors

Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
Nils Hutter and Martin Losch
The Cryosphere, 14, 93–113, https://doi.org/10.5194/tc-14-93-2020,https://doi.org/10.5194/tc-14-93-2020, 2020
Short summary
The material properties of ice bridges in the Maxwell Elasto-Brittle rheology
Mathieu Plante, Bruno Tremblay, Martin Losch, and Jean-François Lemieux
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-210,https://doi.org/10.5194/tc-2019-210, 2019
Revised manuscript under review for TC
Short summary
Accuracy and Inter-Analyst Agreement of Visually Estimated Sea Ice Concentrations in Canadian Ice Service Ice Charts
Angela Cheng, Barbara Casati, Adrienne Tivy, Tom Zagon, Jean-Francois Lemieux, and Bruno Tremblay
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-190,https://doi.org/10.5194/tc-2019-190, 2019
Revised manuscript accepted for TC
Short summary
On modeling the Southern Ocean Phytoplankton Functional Types
Svetlana N. Losa, Stephanie Dutkiewicz, Martin Losch, Julia Oelker, Mariana A. Soppa, Scarlett Trimborn, Hongyan Xi, and Astrid Bracher
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-289,https://doi.org/10.5194/bg-2019-289, 2019
Manuscript not accepted for further review
Short summary
Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm
Nils Hutter, Lorenzo Zampieri, and Martin Losch
The Cryosphere, 13, 627–645, https://doi.org/10.5194/tc-13-627-2019,https://doi.org/10.5194/tc-13-627-2019, 2019
Short summary

Related subject area

Discipline: Sea ice | Subject: Numerical Modelling
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
Nils Hutter and Martin Losch
The Cryosphere, 14, 93–113, https://doi.org/10.5194/tc-14-93-2020,https://doi.org/10.5194/tc-14-93-2020, 2020
Short summary
Wave energy attenuation in fields of colliding ice floes – Part 1: Discrete-element modelling of dissipation due to ice–water drag
Agnieszka Herman, Sukun Cheng, and Hayley H. Shen
The Cryosphere, 13, 2887–2900, https://doi.org/10.5194/tc-13-2887-2019,https://doi.org/10.5194/tc-13-2887-2019, 2019
Short summary
Validation of the sea ice surface albedo scheme of the regional climate model HIRHAM–NAOSIM using aircraft measurements during the ACLOUD/PASCAL campaigns
Evelyn Jäkel, Johannes Stapf, Manfred Wendisch, Marcel Nicolaus, Wolfgang Dorn, and Annette Rinke
The Cryosphere, 13, 1695–1708, https://doi.org/10.5194/tc-13-1695-2019,https://doi.org/10.5194/tc-13-1695-2019, 2019
Short summary
IcePAC – a probabilistic tool to study sea ice spatio-temporal dynamics: application to the Hudson Bay area
Charles Gignac, Monique Bernier, and Karem Chokmani
The Cryosphere, 13, 451–468, https://doi.org/10.5194/tc-13-451-2019,https://doi.org/10.5194/tc-13-451-2019, 2019
Short summary
New insight from CryoSat-2 sea ice thickness for sea ice modelling
David Schröder, Danny L. Feltham, Michel Tsamados, Andy Ridout, and Rachel Tilling
The Cryosphere, 13, 125–139, https://doi.org/10.5194/tc-13-125-2019,https://doi.org/10.5194/tc-13-125-2019, 2019
Short summary

Cited articles

Aksenov, Y. and Hibler, W. D.: Failure Propagation Effects in an Anisotropic Sea Ice Dynamics Model, in: IUTAM Symposium on Scaling Laws in Ice Mechanics and Ice Dynamics, edited by: Dempsey, J. P. and Shen, H. H., Solid Mechanics and Its Applications, 363–372, UTAM Symposium, Fairbanks, Alaska, USA, 13–16 June 2000, Kluwer Academic Publishers, 2001. a
Babić, M., Shen, H. H., and Shen, H. T.: The stress tensor in granular shear flows of uniform, deformable disks at high solids concentrations, J. Fluid Mech., 219, 81–118, https://doi.org/10.1017/S0022112090002877, 1990. a
Balendran, B. and Nemat-Nasser, S.: Double sliding model for cyclic deformation of granular materials, including dilatancy effects, J. Mech. Phys. Solids, 41, 573–612, https://doi.org/10.1016/0022-5096(93)90049-L, 1993. a, b
Bouchat, A. and Tremblay, B.: Energy dissipation in viscous-plastic sea-ice models, J. Geophys. Res.-Oceans, 119, 976–994, https://doi.org/10.1002/2013JC009436, 2014. a
Bouchat, A. and Tremblay, B.: Using sea-ice deformation fields to constrain the mechanical strength parameters of geophysical sea ice, J. Geophys. Res.-Oceans, 122, 5802–5825, https://doi.org/10.1002/2017JC013020, 2017. a, b, c, d, e
Publications Copernicus
Download
Short summary
We study the creation of fracture in sea ice plastic models. To do this, we compress an ideal piece of ice of 8 km by 25 km. We use two different mathematical expressions defining the resistance of ice. We find that the most common one is unable to model the fracture correctly, while the other gives better results but brings instabilities. The results are often in opposition with ice granular nature (e.g., sand) and call for changes in ice modeling.
We study the creation of fracture in sea ice plastic models. To do this, we compress an ideal...
Citation