Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6

Sea ice cover and thickness have substantially decreased in the Arctic Ocean since the beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more deformation and fracturing and leading to increased sea ice drift speed. We use the version 3.6 of the global ocean–sea...

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Autores: Docquier, David, Massonnet, François, Barthélemy, Antoine, Tandon, Neil F., Lecomte, Olivier, Fichefet, Thierry
Tipo de documento: artigo
Data de publicação:2017
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/112431
Acesso em linha:https://hdl.handle.net/2117/112431
https://dx.doi.org/10.5194/tc-11-2829-2017
Access Level:Acceso aberto
Palavra-chave:Sea ice
Arctic Ocean
Sea ice cover
Model experiments
Glaç
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
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oai_identifier_str oai:upcommons.upc.edu:2117/112431
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
title Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
spellingShingle Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
Docquier, David
Sea ice
Arctic Ocean
Sea ice cover
Model experiments
Glaç
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
title_short Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
title_full Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
title_fullStr Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
title_full_unstemmed Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
title_sort Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
dc.creator.none.fl_str_mv Docquier, David
Massonnet, François
Barthélemy, Antoine
Tandon, Neil F.
Lecomte, Olivier
Fichefet, Thierry
author Docquier, David
author_facet Docquier, David
Massonnet, François
Barthélemy, Antoine
Tandon, Neil F.
Lecomte, Olivier
Fichefet, Thierry
author_role author
author2 Massonnet, François
Barthélemy, Antoine
Tandon, Neil F.
Lecomte, Olivier
Fichefet, Thierry
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Sea ice
Arctic Ocean
Sea ice cover
Model experiments
Glaç
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
topic Sea ice
Arctic Ocean
Sea ice cover
Model experiments
Glaç
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
description Sea ice cover and thickness have substantially decreased in the Arctic Ocean since the beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more deformation and fracturing and leading to increased sea ice drift speed. We use the version 3.6 of the global ocean–sea ice NEMO-LIM model (Nucleus for European Modelling of the Ocean coupled to the Louvain-la-Neuve sea Ice Model), satellite, buoy and submarine observations, as well as reanalysis data over the period from 1979 to 2013 to study these relationships. Overall, the model agrees well with observations in terms of sea ice extent, concentration and thickness. The seasonal cycle of sea ice drift speed is reasonably well reproduced by the model. NEMO-LIM3.6 is able to capture the relationships between the seasonal cycles of sea ice drift speed, concentration and thickness, with higher drift speed for both lower concentration and lower thickness, in agreement with observations. Model experiments are carried out to test the sensitivity of Arctic sea ice drift speed, thickness and concentration to changes in sea ice strength parameter P*. These show that higher values of P* generally lead to lower sea ice deformation and lower sea ice thickness, and that no single value of P* is the best option for reproducing the observed drift speed and thickness. The methodology proposed in this analysis provides a benchmark for a further model intercomparison related to the relationships between sea ice drift speed and strength, which is especially relevant in the context of the upcoming Coupled Model Intercomparison Project 6 (CMIP6).
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-12-12
2018
2018-01-03
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/112431
https://dx.doi.org/10.5194/tc-11-2829-2017
url https://hdl.handle.net/2117/112431
https://dx.doi.org/10.5194/tc-11-2829-2017
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 641727 PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv European Geosciences Union (EGU)
publisher.none.fl_str_mv European Geosciences Union (EGU)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6Docquier, DavidMassonnet, FrançoisBarthélemy, AntoineTandon, Neil F.Lecomte, OlivierFichefet, ThierrySea iceArctic OceanSea ice coverModel experimentsGlaçÀrees temàtiques de la UPC::Desenvolupament humà i sostenibleSea ice cover and thickness have substantially decreased in the Arctic Ocean since the beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more deformation and fracturing and leading to increased sea ice drift speed. We use the version 3.6 of the global ocean–sea ice NEMO-LIM model (Nucleus for European Modelling of the Ocean coupled to the Louvain-la-Neuve sea Ice Model), satellite, buoy and submarine observations, as well as reanalysis data over the period from 1979 to 2013 to study these relationships. Overall, the model agrees well with observations in terms of sea ice extent, concentration and thickness. The seasonal cycle of sea ice drift speed is reasonably well reproduced by the model. NEMO-LIM3.6 is able to capture the relationships between the seasonal cycles of sea ice drift speed, concentration and thickness, with higher drift speed for both lower concentration and lower thickness, in agreement with observations. Model experiments are carried out to test the sensitivity of Arctic sea ice drift speed, thickness and concentration to changes in sea ice strength parameter P*. These show that higher values of P* generally lead to lower sea ice deformation and lower sea ice thickness, and that no single value of P* is the best option for reproducing the observed drift speed and thickness. The methodology proposed in this analysis provides a benchmark for a further model intercomparison related to the relationships between sea ice drift speed and strength, which is especially relevant in the context of the upcoming Coupled Model Intercomparison Project 6 (CMIP6).David Docquier and Antoine Barthélemy work on the PRIMAVERA project (PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment), which is funded by the European Commission’s Horizon 2020 programme, grant agreement no. 641727. François Massonnet is funded by the Belgian Fonds National de la Recherche Scientifique (FNRS) and was funded by the Ministerio de Economía, Industria y Competitividad (MINECO). Neil F. Tandon is supported by the Canadian Sea Ice and Snow Evolution (CanSISE) Network. Olivier Lecomte is a research assistant within the Belgian FNRS. The present research benefited from computational resources made available on the Tier-1 supercomputer of the Fédération Wallonie-Bruxelles, infrastructure funded by the Walloon Region under the grant agreement no. 1117545. Computational resources have also been provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under grant no. 2.5020.11. We would like to thank Hugues Goosse, Martin Vancoppenolle, Jonathan Raulier and Véronique Dansereau for their very helpful comments regarding this study. We also acknowledge Pierre-Yves Barriat for his help in using computing resources at UCL and Damien François for his advice in improving Python scripts. Finally, we thank the editor Dirk Notz and the two anonymous reviewers for helping to improve the original paper.Peer ReviewedEuropean Geosciences Union (EGU)20172017-12-1220182018-01-03journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/112431https://dx.doi.org/10.5194/tc-11-2829-2017reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 641727 PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessmentopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1124312026-05-27T15:37:01Z
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