Simulating linear kinematic features in viscous-plastic sea ice models on quadrilateral and triangular grids

• Main Authors: Mehlmann, C., Danilov, S., Losch, M., Lemieux, J. F., Hutter, N., Richter, T., Blain, P., Hunke, E. C., Korn, P
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: arXiv 2021
• Subjects: Numerical Analysis math.NA; Computational Engineering, Finance, and Science cs.CE; Atmospheric and Oceanic Physics physics.ao-ph; FOS Mathematics; FOS Computer and information sciences; FOS Physical sciences; Arctic; Sea ice
• Online Access: https://dx.doi.org/10.48550/arxiv.2103.04431; https://arxiv.org/abs/2103.04431

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 generate LKFs at high spatial grid resolution, typically with a grid spacing below 5 km. 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, the solutions of sea ice models with different grid spacings, mesh types, and numerical discretization techniques are compared in an idealized configuration, which could also serve as a benchmark problem in the future. The A, B, and C-grid discretizations of sea ice dynamics on quadrilateral meshes leads to a similar number of LKFs as the A-grid approximation on triangular meshes (with the same number of vertices). The discretization on an Arakawa CD-grid on both structured quadrilateral and triangular meshes resolves the same number of LKFs as conventional Arakawa A-grid, B-grid, and C-grid approaches, but on two times coarser meshes. This is due to the fact that the CD-grid approach has a higher number of degrees of freedom to discretize the velocity field. Due to its enhanced resolving properties, the CD-grid discretization is an attractive alternative to conventional discretizations.