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Journal Articles Journal of Geophysical Research. Oceans Year : 2022

Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields

Amélie Bouchat
  • Function : Author
Nils Hutter
  • Function : Author
Jérôme Chanut
  • Function : Author
Frédéric Dupont
  • Function : Author
Dmitry Dukhovskoy
  • Function : Author
Gilles Garric
Younjoo J. Lee
  • Function : Author
Jean-François Lemieux
  • Function : Author
Martin Losch
  • Function : Author
Wieslaw Maslowski
Paul G. Myers
  • Function : Author
Einar Ólason
Till Rasmussen
  • Function : Author
Bruno Tremblay
  • Function : Author
Qiang Wang

Abstract

As the sea-ice modeling community is shifting to advanced numerical frameworks, developing new sea-ice rheologies, and increasing model spatial resolution, ubiquitous deformation features in the Arctic sea ice are now being resolved by sea-ice models. Initiated at the Forum for Arctic Modeling and Observational Synthesis, the Sea Ice Rheology Experiment (SIREx) aims at evaluating state-of-the-art sea-ice models using existing and new metrics to understand how the simulated deformation fields are affected by different representations of sea-ice physics (rheology) and by model configuration. Part 1 of the SIREx analysis is concerned with evaluation of the statistical distribution and scaling properties of sea-ice deformation fields from 35 different simulations against those from the RADARSAT Geophysical Processor System (RGPS). For the first time, the viscous-plastic (and the elastic-viscous-plastic variant), elastic-anisotropic-plastic, and Maxwell-elasto-brittle rheologies are compared in a single study. We find that both plastic and brittle sea-ice rheologies have the potential to reproduce the observed RGPS deformation statistics, including multi-fractality. Model configuration (e.g., numerical convergence, atmospheric representation, spatial resolution) and physical parameterizations (e.g., ice strength parameters and ice thickness distribution) both have effects as important as the choice of sea-ice rheology on the deformation statistics. It is therefore not straightforward to attribute model performance to a specific rheological framework using current deformation metrics. In light of these results, we further evaluate the statistical properties of simulated Linear Kinematic Features in a SIREx Part 2 companion paper.
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insu-03683297 , version 1 (31-05-2022)

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Amélie Bouchat, Nils Hutter, Jérôme Chanut, Frédéric Dupont, Dmitry Dukhovskoy, et al.. Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields. Journal of Geophysical Research. Oceans, 2022, 127, ⟨10.1029/2021JC017667⟩. ⟨insu-03683297⟩
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