Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations
International audience 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 Mod...
Published in: | Journal of Geophysical Research: Oceans |
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Main Authors: | , , , , , , , , , , , , , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2022
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Subjects: | |
Online Access: | https://insu.hal.science/insu-03683298 https://insu.hal.science/insu-03683298/document https://insu.hal.science/insu-03683298/file/JGR%20Oceans%20-%202022%20-%20Hutter%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%202%20Evaluating%20Linear%20Kinematic%20Features%20in.pdf https://doi.org/10.1029/2021JC017666 |
id |
ftinsu:oai:HAL:insu-03683298v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
Sea Ice Deformation rheology model intercomparison project linear kinematic features sea ice modeling sea ice observations [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 linear kinematic features sea ice modeling sea ice observations [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Hutter, Nils Bouchat, Amélie Dupont, Frédéric Dukhovskoy, Dmitry Koldunov, Nikolay 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): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
topic_facet |
Sea Ice Deformation rheology model intercomparison project linear kinematic features sea ice modeling sea ice observations [SDU]Sciences of the Universe [physics] [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
International audience 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. |
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 |
Hutter, Nils Bouchat, Amélie Dupont, Frédéric Dukhovskoy, Dmitry Koldunov, Nikolay 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 |
Hutter, Nils Bouchat, Amélie Dupont, Frédéric Dukhovskoy, Dmitry Koldunov, Nikolay 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 |
Hutter, Nils |
title |
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
title_short |
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
title_full |
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
title_fullStr |
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
title_full_unstemmed |
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations |
title_sort |
sea ice rheology experiment (sirex): 2. evaluating linear kinematic features in high-resolution sea ice simulations |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://insu.hal.science/insu-03683298 https://insu.hal.science/insu-03683298/document https://insu.hal.science/insu-03683298/file/JGR%20Oceans%20-%202022%20-%20Hutter%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%202%20Evaluating%20Linear%20Kinematic%20Features%20in.pdf https://doi.org/10.1029/2021JC017666 |
genre |
Arctic Ocean Sea ice |
genre_facet |
Arctic Ocean Sea ice |
op_source |
ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://insu.hal.science/insu-03683298 Journal of Geophysical Research. Oceans, 2022, 127, ⟨10.1029/2021JC017666⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JC017666 insu-03683298 https://insu.hal.science/insu-03683298 https://insu.hal.science/insu-03683298/document https://insu.hal.science/insu-03683298/file/JGR%20Oceans%20-%202022%20-%20Hutter%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%202%20Evaluating%20Linear%20Kinematic%20Features%20in.pdf BIBCODE: 2022JGRC.12717666H doi:10.1029/2021JC017666 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2021JC017666 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
127 |
container_issue |
4 |
_version_ |
1796938151625752576 |
spelling |
ftinsu:oai:HAL:insu-03683298v1 2024-04-21T07:55:54+00:00 Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High-Resolution Sea Ice Simulations Hutter, Nils Bouchat, Amélie Dupont, Frédéric Dukhovskoy, Dmitry Koldunov, Nikolay 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-03683298 https://insu.hal.science/insu-03683298/document https://insu.hal.science/insu-03683298/file/JGR%20Oceans%20-%202022%20-%20Hutter%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%202%20Evaluating%20Linear%20Kinematic%20Features%20in.pdf https://doi.org/10.1029/2021JC017666 en eng HAL CCSD Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1029/2021JC017666 insu-03683298 https://insu.hal.science/insu-03683298 https://insu.hal.science/insu-03683298/document https://insu.hal.science/insu-03683298/file/JGR%20Oceans%20-%202022%20-%20Hutter%20-%20Sea%20Ice%20Rheology%20Experiment%20SIREx%202%20Evaluating%20Linear%20Kinematic%20Features%20in.pdf BIBCODE: 2022JGRC.12717666H doi:10.1029/2021JC017666 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-03683298 Journal of Geophysical Research. Oceans, 2022, 127, ⟨10.1029/2021JC017666⟩ Sea Ice Deformation rheology model intercomparison project linear kinematic features sea ice modeling sea ice observations [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/10.1029/2021JC017666 2024-04-05T00:33:38Z International audience 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. Article in Journal/Newspaper Arctic Ocean Sea ice Institut national des sciences de l'Univers: HAL-INSU Journal of Geophysical Research: Oceans 127 4 |