On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model

International audience The ice thickness distribution (ITD) is one of the core constituents of modern sea ice models. The ITD accounts for the unresolved spatial variability of sea ice thickness within each model grid cell. While there is a general consensus on the added physical realism brought by...

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Published in:Geoscientific Model Development
Main Authors: Massonnet, François, Barthélemy, Antoine, Worou, Koffi, Fichefet, Thierry, Vancoppenolle, Martin, rousset, clement, Moreno-Chamarro, Eduardo
Other Authors: 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), Nucleus for European Modeling of the Ocean (LOCEAN-NEMO R&D), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-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)-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)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), 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)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), 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)-Université Paris Cité (UPCité), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC-CNS), European Commission (APPLICATE (grant no. 727862), European Project: 641727,H2020,H2020-SC5-2014-two-stage,PRIMAVERA(2015)
Format: Article in Journal/Newspaper
Language:English
Published: CCSD 2019
Subjects:
Online Access:https://hal.sorbonne-universite.fr/hal-02286889
https://hal.sorbonne-universite.fr/hal-02286889v1/document
https://hal.sorbonne-universite.fr/hal-02286889v1/file/gmd-12-3745-2019.pdf
https://doi.org/10.5194/gmd-12-3745-2019
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author Massonnet, François
Barthélemy, Antoine
Worou, Koffi
Fichefet, Thierry
Vancoppenolle, Martin
rousset, clement
Moreno-Chamarro, Eduardo
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)
Nucleus for European Modeling of the Ocean (LOCEAN-NEMO R&D)
Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN)
Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-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)-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)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL)
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)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
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)-Université Paris Cité (UPCité)
Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC-CNS)
European Commission (APPLICATE (grant no. 727862)
European Project: 641727,H2020,H2020-SC5-2014-two-stage,PRIMAVERA(2015)
author_facet Massonnet, François
Barthélemy, Antoine
Worou, Koffi
Fichefet, Thierry
Vancoppenolle, Martin
rousset, clement
Moreno-Chamarro, Eduardo
author_sort Massonnet, François
collection Archives ouvertes de Paris-Saclay
container_issue 8
container_start_page 3745
container_title Geoscientific Model Development
container_volume 12
description International audience The ice thickness distribution (ITD) is one of the core constituents of modern sea ice models. The ITD accounts for the unresolved spatial variability of sea ice thickness within each model grid cell. While there is a general consensus on the added physical realism brought by the ITD, how to discretize it remains an open question. Here, we use the ocean-sea ice general circulation model, Nucleus for European Modelling of the Ocean (NEMO) version 3.6 and Louvain-la-Neuve sea Ice Model (LIM) version 3 (NEMO3.6-LIM3), forced by atmospheric reanalyses to test how the ITD discretization (number of ice thickness categories, positions of the category boundaries) impacts the simulated mean Arctic and Antarctic sea ice states. We find that winter ice volumes in both hemispheres increase with the number of categories and attribute that increase to a net enhancement of basal ice growth rates. The range of simulated mean winter volumes in the various experiments amounts to ∼ 30 % and ∼ 10 % of the reference values (run with five categories) in the Arctic and Antarctic, respectively. This suggests that the way the ITD is discretized has a significant influence on the model mean state, all other things being equal. We also find that the existence of a thick category with lower bounds at ∼ 4 and ∼ 2 m for the Arctic and Antarctic , respectively, is a prerequisite for allowing the storage of deformed ice and therefore for fostering thermodynamic growth in thinner categories. Our analysis finally suggests that increasing the resolution of the ITD without changing the lower limit of the upper category results in small but not negligible variations of ice volume and extent. Our study proposes for the first time a bi-polar process-based explanation of the origin of mean sea ice state changes when the ITD discretization is modified. The sensitivity experiments conducted in this study, based on one model, emphasize that the choice of category positions, especially of thickest categories , has a primary ...
format Article in Journal/Newspaper
genre Antarc*
Antarctic
Arctic
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Sea ice
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
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institution Open Polar
language English
op_collection_id ftuniparissaclay
op_container_end_page 3758
op_doi https://doi.org/10.5194/gmd-12-3745-2019
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-12-3745-2019
info:eu-repo/grantAgreement//641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA
WOS: 000483043100001
op_rights info:eu-repo/semantics/OpenAccess
op_source ISSN: 1991-962X
Geoscientific Model Development Discussions
https://hal.sorbonne-universite.fr/hal-02286889
Geoscientific Model Development Discussions, 2019, 12 (8), pp.3745-3758. ⟨10.5194/gmd-12-3745-2019⟩
publishDate 2019
publisher CCSD
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spelling ftuniparissaclay:oai:HAL:hal-02286889v1 2025-02-09T14:34:10+00:00 On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model Massonnet, François Barthélemy, Antoine Worou, Koffi Fichefet, Thierry Vancoppenolle, Martin rousset, clement Moreno-Chamarro, Eduardo 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) Nucleus for European Modeling of the Ocean (LOCEAN-NEMO R&D) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-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)-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)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) 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)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) 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)-Université Paris Cité (UPCité) Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC-CNS) European Commission (APPLICATE (grant no. 727862) European Project: 641727,H2020,H2020-SC5-2014-two-stage,PRIMAVERA(2015) 2019 https://hal.sorbonne-universite.fr/hal-02286889 https://hal.sorbonne-universite.fr/hal-02286889v1/document https://hal.sorbonne-universite.fr/hal-02286889v1/file/gmd-12-3745-2019.pdf https://doi.org/10.5194/gmd-12-3745-2019 en eng CCSD Copernicus Publ info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-12-3745-2019 info:eu-repo/grantAgreement//641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA WOS: 000483043100001 info:eu-repo/semantics/OpenAccess ISSN: 1991-962X Geoscientific Model Development Discussions https://hal.sorbonne-universite.fr/hal-02286889 Geoscientific Model Development Discussions, 2019, 12 (8), pp.3745-3758. ⟨10.5194/gmd-12-3745-2019⟩ [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2019 ftuniparissaclay https://doi.org/10.5194/gmd-12-3745-2019 2025-01-10T01:15:01Z International audience The ice thickness distribution (ITD) is one of the core constituents of modern sea ice models. The ITD accounts for the unresolved spatial variability of sea ice thickness within each model grid cell. While there is a general consensus on the added physical realism brought by the ITD, how to discretize it remains an open question. Here, we use the ocean-sea ice general circulation model, Nucleus for European Modelling of the Ocean (NEMO) version 3.6 and Louvain-la-Neuve sea Ice Model (LIM) version 3 (NEMO3.6-LIM3), forced by atmospheric reanalyses to test how the ITD discretization (number of ice thickness categories, positions of the category boundaries) impacts the simulated mean Arctic and Antarctic sea ice states. We find that winter ice volumes in both hemispheres increase with the number of categories and attribute that increase to a net enhancement of basal ice growth rates. The range of simulated mean winter volumes in the various experiments amounts to ∼ 30 % and ∼ 10 % of the reference values (run with five categories) in the Arctic and Antarctic, respectively. This suggests that the way the ITD is discretized has a significant influence on the model mean state, all other things being equal. We also find that the existence of a thick category with lower bounds at ∼ 4 and ∼ 2 m for the Arctic and Antarctic , respectively, is a prerequisite for allowing the storage of deformed ice and therefore for fostering thermodynamic growth in thinner categories. Our analysis finally suggests that increasing the resolution of the ITD without changing the lower limit of the upper category results in small but not negligible variations of ice volume and extent. Our study proposes for the first time a bi-polar process-based explanation of the origin of mean sea ice state changes when the ITD discretization is modified. The sensitivity experiments conducted in this study, based on one model, emphasize that the choice of category positions, especially of thickest categories , has a primary ... Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Archives ouvertes de Paris-Saclay Antarctic Arctic Geoscientific Model Development 12 8 3745 3758
spellingShingle [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
Massonnet, François
Barthélemy, Antoine
Worou, Koffi
Fichefet, Thierry
Vancoppenolle, Martin
rousset, clement
Moreno-Chamarro, Eduardo
On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title_full On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title_fullStr On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title_full_unstemmed On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title_short On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
title_sort on the discretization of the ice thickness distribution in the nemo3.6-lim3 global ocean–sea ice model
topic [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
topic_facet [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
url https://hal.sorbonne-universite.fr/hal-02286889
https://hal.sorbonne-universite.fr/hal-02286889v1/document
https://hal.sorbonne-universite.fr/hal-02286889v1/file/gmd-12-3745-2019.pdf
https://doi.org/10.5194/gmd-12-3745-2019