On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model
The ice thickness distribution (ITD) is one of thecore constituents of modern sea ice models. The ITD ac-counts for the unresolved spatial variability of sea ice thick-ness within each model grid cell. While there is a generalconsensus on the added physical realism brought by theITD, how to discreti...
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ftzenodo:oai:zenodo.org:3565614 2023-05-15T14:11:22+02:00 On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model Massonnet, François Barthélemy, Antoine Worou, Koffi Fichefet, Thierry Vancoppenolle, Martin Rousset, Clément Moreno-Chamarro, Eduardo 2019-08-27 https://zenodo.org/record/3565614 https://doi.org/10.5281/zenodo.3565614 unknown info:eu-repo/grantAgreement/EC/H2020/727862/ doi:10.5281/zenodo.3565613 https://zenodo.org/communities/applicate https://zenodo.org/record/3565614 https://doi.org/10.5281/zenodo.3565614 oai:zenodo.org:3565614 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/article publication-article 2019 ftzenodo https://doi.org/10.5281/zenodo.356561410.5281/zenodo.3565613 2023-03-10T19:24:22Z The ice thickness distribution (ITD) is one of thecore constituents of modern sea ice models. The ITD ac-counts for the unresolved spatial variability of sea ice thick-ness within each model grid cell. While there is a generalconsensus on the added physical realism brought by theITD, how to discretize it remains an open question. Here,we use the ocean–sea ice general circulation model, Nu-cleus for European Modelling of the Ocean (NEMO) ver-sion 3.6 and Louvain-la-Neuve sea Ice Model (LIM) ver-sion 3 (NEMO3.6-LIM3), forced by atmospheric reanalysesto test how the ITD discretization (number of ice thicknesscategories, positions of the category boundaries) impacts thesimulated mean Arctic and Antarctic sea ice states. We findthat winter ice volumes in both hemispheres increase with thenumber of categories and attribute that increase to a net en-hancement of basal ice growth rates. The range of simulatedmean winter volumes in the various experiments amounts to∼30 % and∼10 % of the reference values (run with fivecategories) in the Arctic and Antarctic, respectively. Thissuggests that the way the ITD is discretized has a signifi-cant influence on the model mean state, all other things beingequal. We also find that the existence of a thick category withlower bounds at∼4 and∼2 m for the Arctic and Antarc-tic, respectively, is a prerequisite for allowing the storageof deformed ice and therefore for fostering thermodynamicgrowth in thinner categories. Our analysis finally suggeststhat increasing the resolution of the ITD without changingthe lower limit of the upper category results in small but notnegligible variations of ice volume and extent. Our study pro-poses for the first time a bi-polar process-based explanationof the origin of mean sea ice state changes when the ITDdiscretization is modified. The sensitivity experiments con-ducted in this study, based on one model, emphasize thatthe choice of category positions, especially of thickest cat-egories, has a primary influence on the simulated mean seaice states while ... Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Zenodo Antarctic Arctic Sion ENVELOPE(13.758,13.758,66.844,66.844) |
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language |
unknown |
description |
The ice thickness distribution (ITD) is one of thecore constituents of modern sea ice models. The ITD ac-counts for the unresolved spatial variability of sea ice thick-ness within each model grid cell. While there is a generalconsensus on the added physical realism brought by theITD, how to discretize it remains an open question. Here,we use the ocean–sea ice general circulation model, Nu-cleus for European Modelling of the Ocean (NEMO) ver-sion 3.6 and Louvain-la-Neuve sea Ice Model (LIM) ver-sion 3 (NEMO3.6-LIM3), forced by atmospheric reanalysesto test how the ITD discretization (number of ice thicknesscategories, positions of the category boundaries) impacts thesimulated mean Arctic and Antarctic sea ice states. We findthat winter ice volumes in both hemispheres increase with thenumber of categories and attribute that increase to a net en-hancement of basal ice growth rates. The range of simulatedmean winter volumes in the various experiments amounts to∼30 % and∼10 % of the reference values (run with fivecategories) in the Arctic and Antarctic, respectively. Thissuggests that the way the ITD is discretized has a signifi-cant influence on the model mean state, all other things beingequal. We also find that the existence of a thick category withlower bounds at∼4 and∼2 m for the Arctic and Antarc-tic, respectively, is a prerequisite for allowing the storageof deformed ice and therefore for fostering thermodynamicgrowth in thinner categories. Our analysis finally suggeststhat increasing the resolution of the ITD without changingthe lower limit of the upper category results in small but notnegligible variations of ice volume and extent. Our study pro-poses for the first time a bi-polar process-based explanationof the origin of mean sea ice state changes when the ITDdiscretization is modified. The sensitivity experiments con-ducted in this study, based on one model, emphasize thatthe choice of category positions, especially of thickest cat-egories, has a primary influence on the simulated mean seaice states while ... |
format |
Article in Journal/Newspaper |
author |
Massonnet, François Barthélemy, Antoine Worou, Koffi Fichefet, Thierry Vancoppenolle, Martin Rousset, Clément Moreno-Chamarro, Eduardo |
spellingShingle |
Massonnet, François Barthélemy, Antoine Worou, Koffi Fichefet, Thierry Vancoppenolle, Martin Rousset, Clément Moreno-Chamarro, Eduardo On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
author_facet |
Massonnet, François Barthélemy, Antoine Worou, Koffi Fichefet, Thierry Vancoppenolle, Martin Rousset, Clément Moreno-Chamarro, Eduardo |
author_sort |
Massonnet, François |
title |
On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
title_short |
On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
title_full |
On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
title_fullStr |
On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
title_full_unstemmed |
On the discretization of the ice thickness distributionin the NEMO3.6-LIM3 global ocean–sea ice model |
title_sort |
on the discretization of the ice thickness distributionin the nemo3.6-lim3 global ocean–sea ice model |
publishDate |
2019 |
url |
https://zenodo.org/record/3565614 https://doi.org/10.5281/zenodo.3565614 |
long_lat |
ENVELOPE(13.758,13.758,66.844,66.844) |
geographic |
Antarctic Arctic Sion |
geographic_facet |
Antarctic Arctic Sion |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/727862/ doi:10.5281/zenodo.3565613 https://zenodo.org/communities/applicate https://zenodo.org/record/3565614 https://doi.org/10.5281/zenodo.3565614 oai:zenodo.org:3565614 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.356561410.5281/zenodo.3565613 |
_version_ |
1766283493180964864 |