EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evaluating simulated linear kinematic features in high-resolution sea-ice simulations of the FAMOS Sea Ice rheology experiments (SIREx)

Nils Hutter1, Amélie Bouchat2, Frédéric Dupont3, Dmitry Dukhovskoy4, Nikolay Koldunov1, Younjoo Lee5, Jean-François Lemieux6, Camille Lique7, Martin Losch1, Wieslaw Maslowski5, Paul G. Myers8, Einar Olason9, Pierre Rampal9,10, Till Rasmussen11, Claude Talandier7, Bruno Tremblay2, and Qiang Wang1
Nils Hutter et al.
  • 1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Climate Science, Bremerhaven, Germany (
  • 2Department of Atmospheric and Oceanic Sciences, McGill University,Montréal, QC, Canada.
  • 3Service Météorologique Canadien, Environnement et Changement Climatique Canada, Dorval, Qc, Canada
  • 4Center for Ocean‐Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
  • 5Department of Oceanography, Naval Postgraduate School, Monterey, California, USA
  • 6Recherche en Prévision Numérique Environnementale, Environnement et Changement Climatique Canada, Dorval, Qc, Canada
  • 7University of Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, Brest, France
  • 8Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada
  • 9Nansen Environmental and Remote Sensing Centre, and Bjerknes Centre for Climate Research, Bergen, Norway
  • 10CNRS, institut de Géophysique de l'Environnement (IGE), Grenoble, France
  • 11Danish Meteorological Institute, Copenhagen, Denmark

Simulating sea-ice drift and deformation in the Arctic Ocean is still a challenge because of the multi-scale interaction of sea-ice floes that compose the Arctic sea ice cover. The Sea Ice Rheology Experiment (SIREx) is a model intercomparison project formed within the Forum of Arctic Modeling and Observational Synthesis (FAMOS) to collect and design skill metrics to evaluate different recently suggested approaches for modeling linear kinematic features (LKFs) and provide guidance for modeling small-scale deformation. In this contribution, spatial and temporal properties of LKFs are assessed in 33 simulations of state-of-the-art sea ice models (VP/EVP,EAP, and MEB) and compared to deformation features derived from RADARSAT Geophysical Processor System (RGPS).
All simulations produce LKFs, but only very few models realistically simulate at least some statistics of LKF properties such as densities, lengths, lifetimes, or growth rates. All SIREx models overestimate the angle of fracture between conjugate pairs of LKFs pointing to inaccurate model physics. The temporal and spatial resolution of a simulation and the spatial resolution of atmospheric forcing affect simulated LKFs as much as the model's sea ice rheology and numerics. Only in very high resolution simulations (≤2km) the concentration and thickness anomalies along LKFs are large enough to affect air-ice-ocean interaction processes.

How to cite: Hutter, N., Bouchat, A., Dupont, F., Dukhovskoy, D., Koldunov, N., Lee, Y., Lemieux, J.-F., Lique, C., Losch, M., Maslowski, W., Myers, P. G., Olason, E., Rampal, P., Rasmussen, T., Talandier, C., Tremblay, B., and Wang, Q.: Evaluating simulated linear kinematic features in high-resolution sea-ice simulations of the FAMOS Sea Ice rheology experiments (SIREx), EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9739,, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.