• Medientyp: E-Artikel
  • Titel: Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
  • Beteiligte: Hutter, Nils [VerfasserIn]; Bouchat, Amélie [VerfasserIn]; Dupont, Frédéric [VerfasserIn]; Dukhovskoy, Dmitry [VerfasserIn]; Koldunov, Nikolay [VerfasserIn]; Lee, Younjoo J. [VerfasserIn]; Lemieux, Jean‐François [VerfasserIn]; Lique, Camille [VerfasserIn]; Losch, Martin [VerfasserIn]; Maslowski, Wieslaw [VerfasserIn]; Myers, Paul G. [VerfasserIn]; Ólason, Einar [VerfasserIn]; Rampal, Pierre [VerfasserIn]; Rasmussen, Till [VerfasserIn]; Talandier, Claude [VerfasserIn]; Tremblay, Bruno [VerfasserIn]; Wang, Qiang [VerfasserIn]; 2 Department of Atmospheric and Oceanic Sciences McGill University, Montréal Montréal QC Canada [VerfasserIn]; 3 Service Météorologique Canadien Environnement et Changement Climatique Canada Dorval QC Canada [VerfasserIn]; 4 Center for Ocean‐Atmospheric Prediction Studies Florida State University Tallahassee FL USA [VerfasserIn]; 1 Alfred‐Wegener‐Institute Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany [VerfasserIn]; 5 Department of Oceanography Naval Postgraduate School Monterey CA USA [VerfasserIn]; 6 Recherche en Prévision Numérique Environnementale Environnement et Changement Climatique Canada Dorval QC Canada [VerfasserIn]; 7 University of Brest CNRS IRD Ifremer Laboratoire d’Océanographie Physique et Spatiale (LOPS) IUEM Brest France [VerfasserIn]; [...]
  • Erschienen: GEO-LEOe-docs (FID GEO), 2022-04-23
  • Sprache: Englisch
  • DOI: https://doi.org/10.1029/2021JC017666
  • Schlagwörter: model intercomparison project ; rheology ; sea ice modeling ; Sea Ice Deformation ; sea ice observations ; linear kinematic features
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  • Beschreibung: Simulating sea ice drift and deformation in the Arctic Ocean is still a challenge because of the multiscale interaction of sea ice floes that compose the Arctic Sea ice cover. The Sea Ice Rheology Experiment (SIREx) is a model intercomparison project of the Forum of Arctic Modeling and Observational Synthesis (FAMOS). In SIREx, skill metrics are designed to evaluate different recently suggested approaches for modeling linear kinematic features (LKFs) to provide guidance for modeling small‐scale deformation. These LKFs are narrow bands of localized deformation that can be observed in satellite images and also form in high resolution sea ice simulations. In this contribution, spatial and temporal properties of LKFs are assessed in 36 simulations of state‐of‐the‐art sea ice models and compared to deformation features derived from the RADARSAT Geophysical Processor System. All simulations produce LKFs, but only very few models realistically simulate at least some statistics of LKF properties such as densities, lengths, or growth rates. All SIREx models overestimate the angle of fracture between conjugate pairs of LKFs and LKF lifetimes pointing to inaccurate model physics. The temporal and spatial resolution of a simulation and the spatial resolution of atmospheric boundary condition affect simulated LKFs as much as the model's sea ice rheology and numerics. Only in very high resolution simulations (≤2 km) the concentration and thickness anomalies along LKFs are large enough to affect air‐ice‐ocean interaction processes. ; Plain Language Summary: Winds and ocean currents continuously move and deform the sea ice cover of the Arctic Ocean. The deformation eventually breaks an initially closed ice cover into many individual floes, piles up floes, and creates open water. The distribution of ice floes and open water between them is important for climate research, because ice reflects more light and energy back to the atmosphere than open water, so that less ice and more open water leads to warmer oceans. Current climate ...
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