EGU24-13210, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-13210
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Unifying and comparing different models of viscous anisotropy to be included in ice sheet models.

Daniel Richards1,2, Elisa Mantelli3,4, Samuel Pegler5, and Sandra Piazolo6
Daniel Richards et al.
  • 1Australian Centre for Excellence in Antarctic Science, University of Tasmania, Hobart, Australia (daniel.richards@utas.edu.au)
  • 2School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia
  • 3Department of Earth and Environmental Sciences, Ludwig-Maximillians-Universitaet, Munich, Germany
  • 4Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany
  • 5School of Mathematics, University of Leeds, Leeds, United Kingdom
  • 6School of Earth and Environment, University of Leeds, Leeds, United Kingdom

Ice fabrics – the alignment of crystal orientations - can cause the ice viscosity to vary by an order of magnitude, consequently having a strong impact on the large-scale flow of ice sheets and glaciers. Because of this, there is a need for fabric models which are computationally efficient enough to be included in large-scale ice sheet models. We examine a range of existing models in this class and show they can be combined into a common equation which is a function of 2-3 parameters. By comparing with observations from the Greenland ice sheet, we get the best model predictions by assuming the ice deforms close to the Sachs hypothesis – that all grains experience the same stress. As these fabric predictions also depend on the flow law used, we provide a test of competing anisotropic flow laws for the first time, making a step towards reliably incorporating the effect of fabric and viscous anisotropy in ice sheet flow models.

How to cite: Richards, D., Mantelli, E., Pegler, S., and Piazolo, S.: Unifying and comparing different models of viscous anisotropy to be included in ice sheet models., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13210, https://doi.org/10.5194/egusphere-egu24-13210, 2024.