An unstructured CD-grid variational formulation for sea ice dynamics

TL;DR

This paper introduces an unstructured CD-grid variational formulation for sea ice dynamics, aiming to improve coupling with ocean models and reduce numerical errors in earth system simulations.

Contribution

It presents the first unstructured CD-grid formulation for sea ice, enabling better integration with C-grid ocean models like MPAS-Ocean.

Findings

Numerical results demonstrate the method's stability and accuracy.

The approach facilitates improved coupling between sea ice and ocean models.

Potential reduction in numerical errors during coupled simulations.

Abstract

For the numerical simulation of earth system models, Arakawa grids are largely employed. A quadrilateral mesh is assumed for their classical definition, and different types of grids are identified depending on the location of the discretized quantities. The B-grid has both velocity components at the center of a cell, the C-grid places the velocity components on the edges in a staggered fashion, and the D-grid is a ninety-degree rotation of a C-grid. Historically, B-grid formulations of sea ice dynamics have been dominant because they have matched the grid type used by ocean models. In recent years, as ocean models have increasingly progressed to C-grids, sea ice models have followed suit on quadrilateral meshes, but few if any implementations of unstructured C-grid sea ice models have been developed. In this work, we present an unstructured CD-grid type formulation of the elastic-viscous-plastic rheology, where the velocity unknowns are located at the edges, rather than at the vertices, as in the B-grid. The notion of a CD-grid has been recently introduced and assumes that the velocity components are co-located at the edges. The mesh cells in our analysis have $n$ sides, with $n$ greater than or equal to four. Numerical results are included to investigate the features of the proposed method. Our framework of choice is the Model for Prediction Across Scales (MPAS) within E3SM, the climate model of the U.S. Department of Energy, although our approach is general and could be applied to other models as well. While MPAS-Seaice is currently defined on a B-grid, MPAS-Ocean runs on a C-grid, hence interpolation operators are heavily used when coupled simulations are performed. The discretization introduced here aims at transitioning the dynamics of MPAS-Seaice to a CD-grid, to ultimately facilitate improved coupling with MPAS-Ocean and reduce numerical errors associated with this communication.