EGU23-11737, updated on 02 Jan 2024
https://doi.org/10.5194/egusphere-egu23-11737
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Simulating deformation structure in viscous-plastic sea-ice models with CD-grid approaches

Carolin Mehlmann1, Giacomo Capodaglio2, and Sergey Danilov3
Carolin Mehlmann et al.
  • 1Otto-von-Guericke-Ubiversity, Analysis and Numerics, Magdeburg, Germany (carolin.mehlmann@ovgu.de)
  • 2Center for Nonlinear Studies, Los Alamos National Laboratory, U.S.A
  • 3Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany

Linear Kinematic Features (LKFs) are found everywhere in the Arctic sea-ice cover. They are strongly localized deformations often associated with the formation of leads and pressure ridges. Viscous-plastic sea-ice models start to produce LKFs at high spatial grid resolution, typically with a grid spacing below 5km.  Besides grid spacing, other aspects of a numerical implementation, such as discretization details, may affect the number and definition of simulated LKFs. To explore these effects, simulations with different sea-ice models such as MPAS, CICE, ICON, FESOM and MITgcm are compared in an idealized configuration.

We found that the nonconforming finite-element  CD-grid discretization produces more LKFs than the CD-grid approximation based on a sub-grid discretization. Furthermore the nonconforming finite-element approach simulates the same number of LKFs as conventional Arakawa A-grid, B-grid, and C- grid methods, but on grids with less degrees of freedom ( a  coarser mesh). This is due to the fact that CD-grid approaches have a higher number of degrees of freedom to discretize the velocity field. Due to its enhanced resolving properties, CD-grid methods are an attractive alternative to conventional discretizations. 

How to cite: Mehlmann, C., Capodaglio, G., and Danilov, S.: Simulating deformation structure in viscous-plastic sea-ice models with CD-grid approaches, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11737, https://doi.org/10.5194/egusphere-egu23-11737, 2023.