Benefits from representing snow properties and related processes in coupled ocean-sea ice models
International audience Several large-scale sea ice simulations are performed over the last three decades using a coupled ocean–sea ice model under the same experimental setup but partly modifying the representation of snow physics in the model. The inter-simulation spread analysis yields that the si...
Published in: | Ocean Modelling |
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Main Authors: | , , , |
Other Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2015
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Online Access: | https://hal.science/hal-01138996 https://doi.org/10.1016/j.ocemod.2014.11.005 |
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HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
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English |
topic |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
spellingShingle |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] Lecomte, Olivier Fichefet, Thierry Massonnet, François Vancoppenolle, Martin Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
topic_facet |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
description |
International audience Several large-scale sea ice simulations are performed over the last three decades using a coupled ocean–sea ice model under the same experimental setup but partly modifying the representation of snow physics in the model. The inter-simulation spread analysis yields that the simulated multi-year ice is sensitive to such changes while the seasonal sea ice, is rather dominantly driven by the external oceanic and atmospheric forcings. In the context of a thinning Arctic sea ice cover, those findings suggest that including snow processes in large-scale sea ice models is beneficial, if not necessary, to predict the timing of the Arctic multi-year ice disappearance, whereas the operational forecasting of first-year ice extent using fully coupled models will likely require improvement to the oceanic and atmospheric components themselve |
author2 |
Institut d'Astronomie et de Géophysique Georges Lemaître (UCL-ASTR) Université Catholique de Louvain = Catholic University of Louvain (UCL) Processus de couplage à Petite Echelle, Ecosystèmes et Prédateurs Supérieurs (PEPS) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) European Project: 226520,EC:FP7:ENV,FP7-ENV-2008-1,COMBINE(2009) |
format |
Article in Journal/Newspaper |
author |
Lecomte, Olivier Fichefet, Thierry Massonnet, François Vancoppenolle, Martin |
author_facet |
Lecomte, Olivier Fichefet, Thierry Massonnet, François Vancoppenolle, Martin |
author_sort |
Lecomte, Olivier |
title |
Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
title_short |
Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
title_full |
Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
title_fullStr |
Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
title_full_unstemmed |
Benefits from representing snow properties and related processes in coupled ocean-sea ice models |
title_sort |
benefits from representing snow properties and related processes in coupled ocean-sea ice models |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://hal.science/hal-01138996 https://doi.org/10.1016/j.ocemod.2014.11.005 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
ISSN: 1463-5003 Ocean Modelling https://hal.science/hal-01138996 Ocean Modelling, 2015, 87, pp.81-85. ⟨10.1016/j.ocemod.2014.11.005⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2014.11.005 info:eu-repo/grantAgreement/EC/FP7/226520/EU/Comprehensive Modelling of the Earth system for better climate prediction and projection/COMBINE hal-01138996 https://hal.science/hal-01138996 doi:10.1016/j.ocemod.2014.11.005 |
op_doi |
https://doi.org/10.1016/j.ocemod.2014.11.005 |
container_title |
Ocean Modelling |
container_volume |
87 |
container_start_page |
81 |
op_container_end_page |
85 |
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1810475936003391488 |
spelling |
ftceafr:oai:HAL:hal-01138996v1 2024-09-15T18:34:10+00:00 Benefits from representing snow properties and related processes in coupled ocean-sea ice models Lecomte, Olivier Fichefet, Thierry Massonnet, François Vancoppenolle, Martin Institut d'Astronomie et de Géophysique Georges Lemaître (UCL-ASTR) Université Catholique de Louvain = Catholic University of Louvain (UCL) Processus de couplage à Petite Echelle, Ecosystèmes et Prédateurs Supérieurs (PEPS) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) European Project: 226520,EC:FP7:ENV,FP7-ENV-2008-1,COMBINE(2009) 2015-03 https://hal.science/hal-01138996 https://doi.org/10.1016/j.ocemod.2014.11.005 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ocemod.2014.11.005 info:eu-repo/grantAgreement/EC/FP7/226520/EU/Comprehensive Modelling of the Earth system for better climate prediction and projection/COMBINE hal-01138996 https://hal.science/hal-01138996 doi:10.1016/j.ocemod.2014.11.005 ISSN: 1463-5003 Ocean Modelling https://hal.science/hal-01138996 Ocean Modelling, 2015, 87, pp.81-85. ⟨10.1016/j.ocemod.2014.11.005⟩ [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2015 ftceafr https://doi.org/10.1016/j.ocemod.2014.11.005 2024-07-22T13:31:38Z International audience Several large-scale sea ice simulations are performed over the last three decades using a coupled ocean–sea ice model under the same experimental setup but partly modifying the representation of snow physics in the model. The inter-simulation spread analysis yields that the simulated multi-year ice is sensitive to such changes while the seasonal sea ice, is rather dominantly driven by the external oceanic and atmospheric forcings. In the context of a thinning Arctic sea ice cover, those findings suggest that including snow processes in large-scale sea ice models is beneficial, if not necessary, to predict the timing of the Arctic multi-year ice disappearance, whereas the operational forecasting of first-year ice extent using fully coupled models will likely require improvement to the oceanic and atmospheric components themselve Article in Journal/Newspaper Sea ice HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) Ocean Modelling 87 81 85 |