Implementation and performance of adaptive mesh refinement in the Ice Sheet System Model (ISSM v4.14)

• Published in: Geoscientific Model Development 2019-01, Vol.12 (1), p.215-232
• Main Authors: dos Santos, Thiago Dias, Morlighem, Mathieu, Seroussi, Helene, Devloo, Philippe Remy Bernard, Simoes, Jefferson Cardia
• Format: Article
• Language: English
• Subjects: Accuracy; Adaptive systems; Analysis; Arctic research; Bedrock; Benchmarks; Climate change; Climate models; Computational efficiency; Computer applications; Computer simulation; Computing time; Control stability; Dynamics; Errors; Evolution; Finite element method; Glaciation; Glaciers; Grid refinement (mathematics); Ice; Ice sheet dynamics; Ice sheet models; Ice sheets; Mathematical models; Modelling; Nonlinear programming; Resolution
• ISSN: 1991-9603; 1991-959X; 1991-962X; 1991-9603; 1991-962X
• DOI: 10.5194/gmd-12-215-2019

Accurate projections of the evolution of ice sheets in a changing climate require a fine mesh/grid resolution in ice sheet models to correctly capture fundamental physical processes, such as the evolution of the grounding line, the region where grounded ice starts to float. The evolution of the grounding line indeed plays a major role in ice sheet dynamics, as it is a fundamental control on marine ice sheet stability. Numerical modeling of a grounding line requires significant computational resources since the accuracy of its position depends on grid or mesh resolution. A technique that improves accuracy with reduced computational cost is the adaptive mesh refinement (AMR) approach. We present here the implementation of the AMR technique in the finite element Ice Sheet System Model (ISSM) to simulate grounding line dynamics under two different benchmarks: MISMIP3d and MISMIP+. We test different refinement criteria: (a) distance around the grounding line, (b) a posteriori error estimator, the Zienkiewicz–Zhu (ZZ) error estimator, and (c) different combinations of (a) and (b). In both benchmarks, the ZZ error estimator presents high values around the grounding line. In the MISMIP+ setup, this estimator also presents high values in the grounded part of the ice sheet, following the complex shape of the bedrock geometry. The ZZ estimator helps guide the refinement procedure such that AMR performance is improved. Our results show that computational time with AMR depends on the required accuracy, but in all cases, it is significantly shorter than for uniformly refined meshes. We conclude that AMR without an associated error estimator should be avoided, especially for real glaciers that have a complex bed geometry.