FN Archimer Export Format
PT J
TI Sea Ice Rheology Experiment (SIREx): 1. Scaling and statistical properties of sea‐ice deformation fields
BT 
AF Bouchat, Amélie
   Hutter, Nils
   Chanut, Jérôme
   Dupont, Frédéric
   Dukhovskoy, Dmitry
   Garric, Gilles
   Lee, Younjoo
   Lemieux, Jean‐François
   Lique, Camille
   Losch, Martin
   Maslowski, Wieslaw
   Myers, Paul G.
   Ólason, Einar
   Rampal, Pierre
   Rasmussen, Till
   Talandier, Claude
   Tremblay, Bruno
   Wang, Qiang
AS 1:1;2:2;3:3;4:4;5:5;6:3;7:6;8:7;9:8;10:2;11:6;12:9;13:10;14:11;15:12;16:13;17:1;18:2;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:PDG-ODE-LOPS-OH;10:;11:;12:;13:;14:;15:;16:;17:;18:;
C1 Department of Atmospheric and Oceanic Sciences McGill University,Montréal QC, Canada
   Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven, Germany
   Mercator Ocean International Ramonville‐Saint‐Agne ,France
   Service Météorologique Canadien Environnement et Changement Climatique Canada Dorval Qc, Canada
   Center for Ocean‐Atmospheric Prediction Studies Florida State University Tallahassee FL ,USA
   Department of Oceanography Naval Postgraduate School Monterey California, USA
   Recherche en Prévision Numérique Environnementale Environnement et Changement Climatique Canada Dorval Qc ,Canada
   University of Brest, CNRS, IRD, Ifremer Laboratoire d’Océanographie Physique et Spatiale (LOPS) IUEM Brest ,France
   Department of Earth and Atmospheric Sciences University of Alberta Edmonton Alberta ,Canada
   Nansen Environmental and Remote Sensing Centre and Bjerknes Centre for Climate Research Bergen, Norway
   Institut de Géophysique de l’Environnement CNRS Grenoble, France
   Danish Meteorological Institute Copenhagen, Denmark
   University of Brest, CNRS, IRD, Ifremer Laboratoire d’Océanographie Physique et Spatiale (LOPS) IUEM Brest ,France
C2 UNIV MCGILL, CANADA
   INST A WEGENER, GERMANY
   MERCATOR OCEAN, FRANCE
   ENVIRONM & CLIMATE CHANGE CANADA, CANADA
   UNIV FLORIDA STATE, USA
   NAVAL POSTGRAD SCH, USA
   ENVIRONM & CLIMATE CHANGE CANADA, CANADA
   IFREMER, FRANCE
   UNIV ALBERTA, CANADA
   NANSEN CTR, NORWAY
   CNRS, FRANCE
   DANISH METEOROL INST, DENMARK
   CNRS, FRANCE
SI BREST
SE PDG-ODE-LOPS-OH
UM LOPS
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   copubli-france
   copubli-europe
   copubli-int-hors-europe
IF 3.6
TC 14
UR https://archimer.ifremer.fr/doc/00757/86877/92379.pdf
LA English
DT Article
DE ;sea-ice deformation;rheology;model intercomparison project;sea-ice modeling;sea-ice observations;scaling analysis
AB 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 Modelling and Observational Synthesis (FAMOS), 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 I 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 (LKFs) in a SIREx Part II companion paper. Plain Language Summary The ice in the Arctic Ocean is not continuous: it is broken into individual pieces of ice (floes). As the winds and ocean currents continually move these ice floes, they get piled up together or pushed away from each other, forming regions of increased ice thickness (ridges) or regions of open water (leads). These leads and ridges (ice deformations) are important features of the Arctic pack ice because they control the amount of energy that can be exchanged between the atmosphere and the ocean. Current climate models cannot simulate individual ice floes and their deformations. Instead, various methods are used to represent the movement and deformation of the Arctic sea-ice cover. The goal of the Sea Ice Rheology Experiment (SIREx) is to compare these different methods and evaluate the ability of a large number of sea-ice models to reproduce observed sea-ice deformations from satellite imagery. SIREx is divided in two parts. In Part I (this study), we evaluate how the intensity of ice deformations varies in space and time. In Part II (companion paper), we track and evaluate the occurrence of specific deformation features. With this work, we show how to improve sea-ice models for realistic simulations of sea-ice deformations. 
PY 2022
PD APR
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU American Geophysical Union (AGU)
VL 127
IS 4
UT 000786291100001
DI 10.1029/2021JC017667
ID 86877
ER

EF