Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3745-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-12-3745-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
27 Aug 2019
Model evaluation paper |
| 27 Aug 2019
| 27 Aug 2019
On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model
François Massonnet
CORRESPONDING AUTHOR
Georges Lemaître Centre for Earth and Climate Research, Earth and
Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Antoine Barthélemy
Georges Lemaître Centre for Earth and Climate Research, Earth and
Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Koffi Worou
Georges Lemaître Centre for Earth and Climate Research, Earth and
Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Thierry Fichefet
Georges Lemaître Centre for Earth and Climate Research, Earth and
Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Martin Vancoppenolle
Sorbonne Universités (UPMC Paris 6), LOCEAN-IPSL, CNRS/IRD/MNHN, Paris, France
Clément Rousset
Sorbonne Universités (UPMC Paris 6), LOCEAN-IPSL, CNRS/IRD/MNHN, Paris, France
Eduardo Moreno-Chamarro
Barcelona Supercomputing Center (Centro Nacional de Supercomputación), Nexus II-Planta 1 C/ Jordi Girona, 29,
Barcelona, Spain
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Cited
17 citations as recorded by crossref.
- CMIP6 models overestimate sea ice melt, growth and conduction relative to ice mass balance buoy estimates A. West & E. Blockley 10.5194/gmd-18-3041-2025
- Modulation of the seasonal cycle of the Antarctic sea ice extent by sea ice processes and feedbacks with the ocean and the atmosphere H. Goosse et al. 10.5194/tc-17-407-2023
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
- Influence of the representation of landfast ice on the simulation of the Arctic sea ice and Arctic Ocean halocline J. Sterlin et al. 10.1007/s10236-024-01611-0
- Impact of Arctic Sea Ice Representation on Extended Medium-Range Forecasting: a Case Study of the 2016 Barents-Kara Sea Warming Event J. Park et al. 10.1007/s13143-024-00387-z
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. 10.1016/j.ocemod.2023.102227
- Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y. Nie et al. 10.5194/gmd-16-1395-2023
- Sensitivity of Arctic sea ice to melt pond processes and atmospheric forcing: A model study J. Sterlin et al. 10.1016/j.ocemod.2021.101872
- NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. 10.5194/gmd-15-1269-2022
- Effects of Increasing the Category Resolution of the Sea Ice Thickness Distribution in a Coupled Climate Model on Arctic and Antarctic Sea Ice Mean State M. Smith et al. 10.1029/2022JC019044
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
- PARASO, a circum-Antarctic fully coupled ice-sheet–ocean–sea-ice–atmosphere–land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5 C. Pelletier et al. 10.5194/gmd-15-553-2022
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- Arctic sea ice sensitivity to lateral melting representation in a coupled climate model M. Smith et al. 10.5194/tc-16-419-2022
- Sensitivity of the Arctic sea ice representation to the ice thickness category resolution in an OGCM T. Toyoda et al. 10.1007/s10872-025-00748-w
- SIPN South: six years of coordinated seasonal Antarctic sea ice predictions F. Massonnet et al. 10.3389/fmars.2023.1148899
- Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6–LIM3 global ocean–sea ice model E. Moreno-Chamarro et al. 10.5194/gmd-13-4773-2020
17 citations as recorded by crossref.
- CMIP6 models overestimate sea ice melt, growth and conduction relative to ice mass balance buoy estimates A. West & E. Blockley 10.5194/gmd-18-3041-2025
- Modulation of the seasonal cycle of the Antarctic sea ice extent by sea ice processes and feedbacks with the ocean and the atmosphere H. Goosse et al. 10.5194/tc-17-407-2023
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
- Influence of the representation of landfast ice on the simulation of the Arctic sea ice and Arctic Ocean halocline J. Sterlin et al. 10.1007/s10236-024-01611-0
- Impact of Arctic Sea Ice Representation on Extended Medium-Range Forecasting: a Case Study of the 2016 Barents-Kara Sea Warming Event J. Park et al. 10.1007/s13143-024-00387-z
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. 10.1016/j.ocemod.2023.102227
- Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y. Nie et al. 10.5194/gmd-16-1395-2023
- Sensitivity of Arctic sea ice to melt pond processes and atmospheric forcing: A model study J. Sterlin et al. 10.1016/j.ocemod.2021.101872
- NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. 10.5194/gmd-15-1269-2022
- Effects of Increasing the Category Resolution of the Sea Ice Thickness Distribution in a Coupled Climate Model on Arctic and Antarctic Sea Ice Mean State M. Smith et al. 10.1029/2022JC019044
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
- PARASO, a circum-Antarctic fully coupled ice-sheet–ocean–sea-ice–atmosphere–land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSMO5.0 and CLM4.5 C. Pelletier et al. 10.5194/gmd-15-553-2022
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- Arctic sea ice sensitivity to lateral melting representation in a coupled climate model M. Smith et al. 10.5194/tc-16-419-2022
- Sensitivity of the Arctic sea ice representation to the ice thickness category resolution in an OGCM T. Toyoda et al. 10.1007/s10872-025-00748-w
- SIPN South: six years of coordinated seasonal Antarctic sea ice predictions F. Massonnet et al. 10.3389/fmars.2023.1148899
- Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6–LIM3 global ocean–sea ice model E. Moreno-Chamarro et al. 10.5194/gmd-13-4773-2020
Latest update: 29 May 2025
Short summary
Sea ice thickness varies considerably on spatial scales of several meters. However, contemporary climate models cannot resolve such scales yet. This is why sea ice models used in climate models include an ice thickness distribution (ITD) to account for this unresolved variability. Here, we explore with the ocean–sea ice model NEMO3.6-LIM3 the sensitivity of simulated mean Arctic and Antarctic sea ice states to the way the ITD is discretized.
Sea ice thickness varies considerably on spatial scales of several meters. However, contemporary...
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