Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields
International audience 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 fo...
Published in: | Journal of Geophysical Research: Oceans |
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Main Authors: | , , , , , , , , , , , , , , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Subjects: | |
Online Access: | https://insu.hal.science/insu-03683297 https://insu.hal.science/insu-03683297/document https://insu.hal.science/insu-03683297/file/JGR%20Oceans%20-%202022%20-%20Bouchat%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%201%20Scaling%20and%20Statistical%20Properties%20of%20Sea%25u2010Ice.pdf https://doi.org/10.1029/2021JC017667 |
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Open Polar |
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Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
sea-ice deformation rheology model intercomparison project sea-ice modeling sea-ice observations scaling analysis [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
spellingShingle |
sea-ice deformation rheology model intercomparison project sea-ice modeling sea-ice observations scaling analysis [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Bouchat, Amélie Hutter, Nils Chanut, Jérôme Dupont, Frédéric Dukhovskoy, Dmitry Garric, Gilles Lee, Younjoo J. Lemieux, Jean-François Lique, Camille Losch, Martin Maslowski, Wieslaw Myers, Paul G. Ólason, Einar Rampal, Pierre Rasmussen, Till Talandier, Claude Tremblay, Bruno Wang, Qiang Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
topic_facet |
sea-ice deformation rheology model intercomparison project sea-ice modeling sea-ice observations scaling analysis [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
International audience 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. |
author2 |
Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) |
format |
Article in Journal/Newspaper |
author |
Bouchat, Amélie Hutter, Nils Chanut, Jérôme Dupont, Frédéric Dukhovskoy, Dmitry Garric, Gilles Lee, Younjoo J. Lemieux, Jean-François Lique, Camille Losch, Martin Maslowski, Wieslaw Myers, Paul G. Ólason, Einar Rampal, Pierre Rasmussen, Till Talandier, Claude Tremblay, Bruno Wang, Qiang |
author_facet |
Bouchat, Amélie Hutter, Nils Chanut, Jérôme Dupont, Frédéric Dukhovskoy, Dmitry Garric, Gilles Lee, Younjoo J. Lemieux, Jean-François Lique, Camille Losch, Martin Maslowski, Wieslaw Myers, Paul G. Ólason, Einar Rampal, Pierre Rasmussen, Till Talandier, Claude Tremblay, Bruno Wang, Qiang |
author_sort |
Bouchat, Amélie |
title |
Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
title_short |
Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
title_full |
Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
title_fullStr |
Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
title_full_unstemmed |
Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields |
title_sort |
sea ice rheology experiment (sirex): 1. scaling and statistical properties of sea-ice deformation fields |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://insu.hal.science/insu-03683297 https://insu.hal.science/insu-03683297/document https://insu.hal.science/insu-03683297/file/JGR%20Oceans%20-%202022%20-%20Bouchat%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%201%20Scaling%20and%20Statistical%20Properties%20of%20Sea%25u2010Ice.pdf https://doi.org/10.1029/2021JC017667 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://insu.hal.science/insu-03683297 Journal of Geophysical Research. Oceans, 2022, 127, ⟨10.1029/2021JC017667⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JC017667 insu-03683297 https://insu.hal.science/insu-03683297 https://insu.hal.science/insu-03683297/document https://insu.hal.science/insu-03683297/file/JGR%20Oceans%20-%202022%20-%20Bouchat%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%201%20Scaling%20and%20Statistical%20Properties%20of%20Sea%25u2010Ice.pdf BIBCODE: 2022JGRC.12717667B doi:10.1029/2021JC017667 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2021JC017667 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
127 |
container_issue |
4 |
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1796952715223367680 |
spelling |
ftinsu:oai:HAL:insu-03683297v1 2024-04-21T08:11:05+00:00 Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields Bouchat, Amélie Hutter, Nils Chanut, Jérôme Dupont, Frédéric Dukhovskoy, Dmitry Garric, Gilles Lee, Younjoo J. Lemieux, Jean-François Lique, Camille Losch, Martin Maslowski, Wieslaw Myers, Paul G. Ólason, Einar Rampal, Pierre Rasmussen, Till Talandier, Claude Tremblay, Bruno Wang, Qiang Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) 2022 https://insu.hal.science/insu-03683297 https://insu.hal.science/insu-03683297/document https://insu.hal.science/insu-03683297/file/JGR%20Oceans%20-%202022%20-%20Bouchat%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%201%20Scaling%20and%20Statistical%20Properties%20of%20Sea%25u2010Ice.pdf https://doi.org/10.1029/2021JC017667 en eng HAL CCSD Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JC017667 insu-03683297 https://insu.hal.science/insu-03683297 https://insu.hal.science/insu-03683297/document https://insu.hal.science/insu-03683297/file/JGR%20Oceans%20-%202022%20-%20Bouchat%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%201%20Scaling%20and%20Statistical%20Properties%20of%20Sea%25u2010Ice.pdf BIBCODE: 2022JGRC.12717667B doi:10.1029/2021JC017667 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://insu.hal.science/insu-03683297 Journal of Geophysical Research. Oceans, 2022, 127, ⟨10.1029/2021JC017667⟩ sea-ice deformation rheology model intercomparison project sea-ice modeling sea-ice observations scaling analysis [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2022 ftinsu https://doi.org/10.1029/2021JC017667 2024-04-05T00:33:38Z International audience 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. Article in Journal/Newspaper Sea ice Institut national des sciences de l'Univers: HAL-INSU Journal of Geophysical Research: Oceans 127 4 |