EGU23-11613
https://doi.org/10.5194/egusphere-egu23-11613
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A new brittle rheology and numerical framework for large-scale sea-ice models

Einar Ólason1, Guillaume Boutin1, Anton Korosov1, Pierre Rampal2, Timothy Williams1, Madlen Kimmritz3, Véronique Dansereau4, and Abdoulaye Samaké5
Einar Ólason et al.
  • 1Nansen Environmental Remote Sensing Center and Bjerknes Centre for Climate Research, Bergen, Norway
  • 2Institut de Géophysique de l'Environnement, CNRS, Grenoble, France
  • 3Alfred Wegener Institute, Bremerhaven, Germany
  • 4Institut des Sciences de la Terre, CNRS, Grenoble, France
  • 5Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, Mali

We present a new brittle rheology and an accompanying numerical framework for large-scale sea-ice modelling. We have based this rheology on a Bingham-Maxwell constitutive model and the Maxwell-Elasto-Brittle (MEB) rheology for sea ice. The key strength of the MEB rheology is its ability to represent the scaling properties of simulated sea-ice deformation in space and time. The new rheology we propose here, which we refer to as the brittle Bingham-Maxwell rheology (BBM), represents a further evolution of the MEB rheology. We developed BBM to address two main shortcomings of the MEB rheology and numerical implementation: excessive thickening of the ice in model runs longer than about one winter and a relatively high computational cost. The BBM addresses these shortcomings by demanding that the ice deforms under convergence in a purely elastic manner when internal stresses lie below a given compressive threshold. It also improves numerical performance by introducing an explicit scheme to solve the ice momentum equation. We show that using an implementation of BBM in the neXtSIM sea-ice model, the model gives reasonable long-term evolution of the Arctic sea-ice cover. It also gives very good deformation fields and statistics compared to satellite observations.

How to cite: Ólason, E., Boutin, G., Korosov, A., Rampal, P., Williams, T., Kimmritz, M., Dansereau, V., and Samaké, A.: A new brittle rheology and numerical framework for large-scale sea-ice models, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11613, https://doi.org/10.5194/egusphere-egu23-11613, 2023.