Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation.
International audience Sea ice drift and deformation from models are evaluated on the basis of statistical and scaling properties. These properties are derived from two observation data sets: the RADARSAT Geophysical Processor System (RGPS) and buoy trajectories from the International Arctic Buoy Pr...
Published in: | Journal of Geophysical Research |
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Main Authors: | , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2009
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Online Access: | https://insu.hal.science/insu-00420838 https://insu.hal.science/insu-00420838/document https://insu.hal.science/insu-00420838/file/2008JC005182.pdf https://doi.org/10.1029/2008JC005182 |
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Open Polar |
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Institut national des sciences de l'Univers: HAL-INSU |
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ftinsu |
language |
English |
topic |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
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[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Girard, Lucas Weiss, Jérôme Molines, Jean-Marc Barnier, Bernard Bouillon, S. Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
topic_facet |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience Sea ice drift and deformation from models are evaluated on the basis of statistical and scaling properties. These properties are derived from two observation data sets: the RADARSAT Geophysical Processor System (RGPS) and buoy trajectories from the International Arctic Buoy Program (IABP). Two simulations obtained with the Louvain-la-Neuve Ice Model (LIM) coupled to a high-resolution ocean model and a simulation obtained with the Los Alamos Sea Ice Model (CICE) were analyzed. Model ice drift compares well with observations in terms of large-scale velocity field and distributions of velocity fluctuations although a significant bias on the mean ice speed is noted. On the other hand, the statistical properties of ice deformation are not well simulated by the models: (1) The distributions of strain rates are incorrect: RGPS distributions of strain rates are power law tailed, i.e., exhibit "wild randomness," whereas models distributions remain in the Gaussian attraction basin, i.e., exhibit "mild randomness." (2) The models are unable to reproduce the spatial and temporal correlations of the deformation fields: In the observations, ice deformation follows spatial and temporal scaling laws that express the heterogeneity and the intermittency of deformation. These relations do not appear in simulated ice deformation. Mean deformation in models is almost scale independent. The statistical properties of ice deformation are a signature of the ice mechanical behavior. The present work therefore suggests that the mechanical framework currently used by models is inappropriate. A different modeling framework based on elastic interactions could improve the representation of the statistical and scaling properties of ice deformation. |
author2 |
Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) Institut d'Astronomie et de Géophysique Georges Lemaître (UCL-ASTR) Université Catholique de Louvain = Catholic University of Louvain (UCL) |
format |
Article in Journal/Newspaper |
author |
Girard, Lucas Weiss, Jérôme Molines, Jean-Marc Barnier, Bernard Bouillon, S. |
author_facet |
Girard, Lucas Weiss, Jérôme Molines, Jean-Marc Barnier, Bernard Bouillon, S. |
author_sort |
Girard, Lucas |
title |
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
title_short |
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
title_full |
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
title_fullStr |
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
title_full_unstemmed |
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. |
title_sort |
evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of artic sea ice drift and deformation. |
publisher |
HAL CCSD |
publishDate |
2009 |
url |
https://insu.hal.science/insu-00420838 https://insu.hal.science/insu-00420838/document https://insu.hal.science/insu-00420838/file/2008JC005182.pdf https://doi.org/10.1029/2008JC005182 |
genre |
Arctic International Arctic Buoy Program Sea ice |
genre_facet |
Arctic International Arctic Buoy Program Sea ice |
op_source |
ISSN: 0148-0227 EISSN: 2156-2202 Journal of Geophysical Research https://insu.hal.science/insu-00420838 Journal of Geophysical Research, 2009, 114, pp.C08015. ⟨10.1029/2008JC005182⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2008JC005182 insu-00420838 https://insu.hal.science/insu-00420838 https://insu.hal.science/insu-00420838/document https://insu.hal.science/insu-00420838/file/2008JC005182.pdf doi:10.1029/2008JC005182 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2008JC005182 |
container_title |
Journal of Geophysical Research |
container_volume |
114 |
container_issue |
C8 |
_version_ |
1797578961666965504 |
spelling |
ftinsu:oai:HAL:insu-00420838v1 2024-04-28T08:11:39+00:00 Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Artic sea ice drift and deformation. Girard, Lucas Weiss, Jérôme Molines, Jean-Marc Barnier, Bernard Bouillon, S. Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire des Écoulements Géophysiques et Industriels Grenoble (LEGI) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) Institut d'Astronomie et de Géophysique Georges Lemaître (UCL-ASTR) Université Catholique de Louvain = Catholic University of Louvain (UCL) 2009 https://insu.hal.science/insu-00420838 https://insu.hal.science/insu-00420838/document https://insu.hal.science/insu-00420838/file/2008JC005182.pdf https://doi.org/10.1029/2008JC005182 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1029/2008JC005182 insu-00420838 https://insu.hal.science/insu-00420838 https://insu.hal.science/insu-00420838/document https://insu.hal.science/insu-00420838/file/2008JC005182.pdf doi:10.1029/2008JC005182 info:eu-repo/semantics/OpenAccess ISSN: 0148-0227 EISSN: 2156-2202 Journal of Geophysical Research https://insu.hal.science/insu-00420838 Journal of Geophysical Research, 2009, 114, pp.C08015. ⟨10.1029/2008JC005182⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2009 ftinsu https://doi.org/10.1029/2008JC005182 2024-04-05T00:38:11Z International audience Sea ice drift and deformation from models are evaluated on the basis of statistical and scaling properties. These properties are derived from two observation data sets: the RADARSAT Geophysical Processor System (RGPS) and buoy trajectories from the International Arctic Buoy Program (IABP). Two simulations obtained with the Louvain-la-Neuve Ice Model (LIM) coupled to a high-resolution ocean model and a simulation obtained with the Los Alamos Sea Ice Model (CICE) were analyzed. Model ice drift compares well with observations in terms of large-scale velocity field and distributions of velocity fluctuations although a significant bias on the mean ice speed is noted. On the other hand, the statistical properties of ice deformation are not well simulated by the models: (1) The distributions of strain rates are incorrect: RGPS distributions of strain rates are power law tailed, i.e., exhibit "wild randomness," whereas models distributions remain in the Gaussian attraction basin, i.e., exhibit "mild randomness." (2) The models are unable to reproduce the spatial and temporal correlations of the deformation fields: In the observations, ice deformation follows spatial and temporal scaling laws that express the heterogeneity and the intermittency of deformation. These relations do not appear in simulated ice deformation. Mean deformation in models is almost scale independent. The statistical properties of ice deformation are a signature of the ice mechanical behavior. The present work therefore suggests that the mechanical framework currently used by models is inappropriate. A different modeling framework based on elastic interactions could improve the representation of the statistical and scaling properties of ice deformation. Article in Journal/Newspaper Arctic International Arctic Buoy Program Sea ice Institut national des sciences de l'Univers: HAL-INSU Journal of Geophysical Research 114 C8 |