Adaptive mesh, finite volume modeling of marine ice sheets

  • Authors:
  • Stephen L. Cornford;Daniel F. Martin;Daniel T. Graves;Douglas F. Ranken;Anne M. Le Brocq;Rupert M. Gladstone;Antony J. Payne;Esmond G. Ng;William H. Lipscomb

  • Affiliations:
  • School of Geographical Sciences, University of Bristol, UK;Applied Numerical Algorithms Group, Lawrence Berkeley National Laboratory, Berkeley, CA, United States;Applied Numerical Algorithms Group, Lawrence Berkeley National Laboratory, Berkeley, CA, United States;Los Alamos National Laboratory, NM, United States;Geography, College of Life and Environmental Sciences, University of Exeter, UK;School of Geographical Sciences, University of Bristol, UK;School of Geographical Sciences, University of Bristol, UK;Applied Numerical Algorithms Group, Lawrence Berkeley National Laboratory, Berkeley, CA, United States;Los Alamos National Laboratory, NM, United States

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2013

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Abstract

Continental scale marine ice sheets such as the present day West Antarctic Ice Sheet are strongly affected by highly localized features, presenting a challenge to numerical models. Perhaps the best known phenomenon of this kind is the migration of the grounding line - the division between ice in contact with bedrock and floating ice shelves - which needs to be treated at sub-kilometer resolution. We implement a block-structured finite volume method with adaptive mesh refinement (AMR) for three dimensional ice sheets, which allows us to discretize a narrow region around the grounding line at high resolution and the remainder of the ice sheet at low resolution. We demonstrate AMR simulations that are in agreement with uniform mesh simulations, but are computationally far cheaper, appropriately and efficiently evolving the mesh as the grounding line moves over significant distances. As an example application, we model rapid deglaciation of Pine Island Glacier in West Antarctica caused by melting beneath its ice shelf.