On the formulation of snow thermal conductivity in large-scale sea ice models
International audience An assessment of the performance of a state-of-the-art large-scale coupled sea ice-ocean model, including a new snow multilayer thermodynamic scheme, is performed. Four 29 year long simulations are compared against each other and against sea ice thickness and extent observatio...
Published in: | Journal of Advances in Modeling Earth Systems |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2013
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Subjects: | |
Online Access: | https://hal.science/hal-00912616 https://hal.science/hal-00912616/document https://hal.science/hal-00912616/file/Lecomte_et_al-2016-Journal_of_Advances_in_Modeling_Earth_Systems.pdf https://doi.org/10.1002/JAME.20039 |
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ftsorbonneuniv:oai:HAL:hal-00912616v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
HAL Sorbonne Université |
op_collection_id |
ftsorbonneuniv |
language |
English |
topic |
sea ice snow model mass balance thermodynamics [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
spellingShingle |
sea ice snow model mass balance thermodynamics [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] Lecomte, Olivier Fichefet, Thierry Vancoppenolle, Martin Dominé, Florent Massonnet, François Mathiot, Pierre Morin, Samuel Barriat, Pierre-Yves On the formulation of snow thermal conductivity in large-scale sea ice models |
topic_facet |
sea ice snow model mass balance thermodynamics [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
description |
International audience An assessment of the performance of a state-of-the-art large-scale coupled sea ice-ocean model, including a new snow multilayer thermodynamic scheme, is performed. Four 29 year long simulations are compared against each other and against sea ice thickness and extent observations. Each simulation uses a separate parameterization for snow thermophysical properties. The first simulation uses a constant thermal conductivity and prescribed density profiles. The second and third parameterizations use typical power-law relationships linking thermal conductivity directly to density (prescribed as in the first simulation). The fourth parameterization is newly developed and consists of a set of two linear equations relating the snow thermal conductivity and density to the mean seasonal wind speed. Results show that simulation 1 leads to a significant overestimation of the sea ice thickness due to overestimated thermal conductivity, particularly in the Northern Hemisphere. Parameterizations 2 and 4 lead to a realistic simulation of the Arctic sea ice mean state. Simulation 3 results in the underestimation of the sea ice basal growth in both hemispheres, but is partly compensated by lateral growth and snow ice formation in the Southern Hemisphere. Finally, parameterization 4 improves the simulated Snow Depth Distributions by including snow packing by wind, and shows potential for being used in future works. The intercomparison of all simulations suggests that the sea ice model is more sensitive to the snow representation in the Arctic than it is in the Southern Ocean, where the sea ice thickness is not driven by temperature profiles in the snow. |
author2 |
Centre Georges Lemaître for Earth and Climate Research Louvain (TECLIM) Earth and Life Institute Louvain-La-Neuve (ELI) Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL) 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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Takuvik Joint International Laboratory ULAVAL-CNRS Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Lecomte, Olivier Fichefet, Thierry Vancoppenolle, Martin Dominé, Florent Massonnet, François Mathiot, Pierre Morin, Samuel Barriat, Pierre-Yves |
author_facet |
Lecomte, Olivier Fichefet, Thierry Vancoppenolle, Martin Dominé, Florent Massonnet, François Mathiot, Pierre Morin, Samuel Barriat, Pierre-Yves |
author_sort |
Lecomte, Olivier |
title |
On the formulation of snow thermal conductivity in large-scale sea ice models |
title_short |
On the formulation of snow thermal conductivity in large-scale sea ice models |
title_full |
On the formulation of snow thermal conductivity in large-scale sea ice models |
title_fullStr |
On the formulation of snow thermal conductivity in large-scale sea ice models |
title_full_unstemmed |
On the formulation of snow thermal conductivity in large-scale sea ice models |
title_sort |
on the formulation of snow thermal conductivity in large-scale sea ice models |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://hal.science/hal-00912616 https://hal.science/hal-00912616/document https://hal.science/hal-00912616/file/Lecomte_et_al-2016-Journal_of_Advances_in_Modeling_Earth_Systems.pdf https://doi.org/10.1002/JAME.20039 |
genre |
Sea ice Southern Ocean |
genre_facet |
Sea ice Southern Ocean |
op_source |
ISSN: 1942-2466 Journal of Advances in Modeling Earth Systems https://hal.science/hal-00912616 Journal of Advances in Modeling Earth Systems, 2013, 5, pp.542-557. ⟨10.1002/JAME.20039⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1002/JAME.20039 hal-00912616 https://hal.science/hal-00912616 https://hal.science/hal-00912616/document https://hal.science/hal-00912616/file/Lecomte_et_al-2016-Journal_of_Advances_in_Modeling_Earth_Systems.pdf BIBCODE: 2013JAMES.5.542L doi:10.1002/JAME.20039 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1002/JAME.20039 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
5 |
container_issue |
3 |
container_start_page |
542 |
op_container_end_page |
557 |
_version_ |
1810475999063703552 |
spelling |
ftsorbonneuniv:oai:HAL:hal-00912616v1 2024-09-15T18:34:12+00:00 On the formulation of snow thermal conductivity in large-scale sea ice models Lecomte, Olivier Fichefet, Thierry Vancoppenolle, Martin Dominé, Florent Massonnet, François Mathiot, Pierre Morin, Samuel Barriat, Pierre-Yves Centre Georges Lemaître for Earth and Climate Research Louvain (TECLIM) Earth and Life Institute Louvain-La-Neuve (ELI) Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL) 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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-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) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Takuvik Joint International Laboratory ULAVAL-CNRS Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2013-07 https://hal.science/hal-00912616 https://hal.science/hal-00912616/document https://hal.science/hal-00912616/file/Lecomte_et_al-2016-Journal_of_Advances_in_Modeling_Earth_Systems.pdf https://doi.org/10.1002/JAME.20039 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1002/JAME.20039 hal-00912616 https://hal.science/hal-00912616 https://hal.science/hal-00912616/document https://hal.science/hal-00912616/file/Lecomte_et_al-2016-Journal_of_Advances_in_Modeling_Earth_Systems.pdf BIBCODE: 2013JAMES.5.542L doi:10.1002/JAME.20039 info:eu-repo/semantics/OpenAccess ISSN: 1942-2466 Journal of Advances in Modeling Earth Systems https://hal.science/hal-00912616 Journal of Advances in Modeling Earth Systems, 2013, 5, pp.542-557. ⟨10.1002/JAME.20039⟩ sea ice snow model mass balance thermodynamics [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2013 ftsorbonneuniv https://doi.org/10.1002/JAME.20039 2024-08-01T23:46:53Z International audience An assessment of the performance of a state-of-the-art large-scale coupled sea ice-ocean model, including a new snow multilayer thermodynamic scheme, is performed. Four 29 year long simulations are compared against each other and against sea ice thickness and extent observations. Each simulation uses a separate parameterization for snow thermophysical properties. The first simulation uses a constant thermal conductivity and prescribed density profiles. The second and third parameterizations use typical power-law relationships linking thermal conductivity directly to density (prescribed as in the first simulation). The fourth parameterization is newly developed and consists of a set of two linear equations relating the snow thermal conductivity and density to the mean seasonal wind speed. Results show that simulation 1 leads to a significant overestimation of the sea ice thickness due to overestimated thermal conductivity, particularly in the Northern Hemisphere. Parameterizations 2 and 4 lead to a realistic simulation of the Arctic sea ice mean state. Simulation 3 results in the underestimation of the sea ice basal growth in both hemispheres, but is partly compensated by lateral growth and snow ice formation in the Southern Hemisphere. Finally, parameterization 4 improves the simulated Snow Depth Distributions by including snow packing by wind, and shows potential for being used in future works. The intercomparison of all simulations suggests that the sea ice model is more sensitive to the snow representation in the Arctic than it is in the Southern Ocean, where the sea ice thickness is not driven by temperature profiles in the snow. Article in Journal/Newspaper Sea ice Southern Ocean HAL Sorbonne Université Journal of Advances in Modeling Earth Systems 5 3 542 557 |