Articles | Volume 11, issue 6
https://doi.org/10.5194/tc-11-2829-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-2829-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Dec 2017
Research article |
| 11 Dec 2017
Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6
David Docquier
CORRESPONDING AUTHOR
Université catholique de Louvain (UCL), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Louvain-la-Neuve, Belgium
François Massonnet
Université catholique de Louvain (UCL), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Louvain-la-Neuve, Belgium
Barcelona Supercomputing Centre – Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, Barcelona, Spain
Antoine Barthélemy
Université catholique de Louvain (UCL), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Louvain-la-Neuve, Belgium
Neil F. Tandon
Environment and Climate Change Canada (ECCC), Climate Research Division, Toronto, Canada
Olivier Lecomte
Université catholique de Louvain (UCL), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Louvain-la-Neuve, Belgium
Thierry Fichefet
Université catholique de Louvain (UCL), Earth and Life Institute (ELI), Georges Lemaître Centre for Earth and Climate Research (TECLIM), Louvain-la-Neuve, Belgium
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Cited
25 citations as recorded by crossref.
- 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
- Why is summertime Arctic sea ice drift speed projected to decrease? J. Ward & N. Tandon 10.5194/tc-18-995-2024
- Assessing CMIP6 simulations of Arctic sea ice drift: Role of near-surface wind and surface ocean current in model performance X. Wang et al. 10.1016/j.accre.2023.09.005
- Evaluation of Arctic Sea Ice Drift and its Relationship with Near-surface Wind and Ocean Current in Nine CMIP6 Models from China X. Yu et al. 10.1007/s00376-021-1153-4
- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation C. Dong et al. 10.1007/s00343-022-1241-z
- Reassessing Sea Ice Drift and Its Relationship to Long‐Term Arctic Sea Ice Loss in Coupled Climate Models N. Tandon et al. 10.1029/2017JC013697
- Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
- Sensitivity of the Arctic freshwater content and transport to model resolution R. Fuentes-Franco & T. Koenigk 10.1007/s00382-019-04735-y
- Optimized sea ice simulation in MITgcm-ECCO2 forced by ERA5 E. Gavilan Pascual-Ahuir & Z. Wang 10.1016/j.ocemod.2023.102183
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Evaluation of Arctic sea ice drift and its dependency on near-surface wind and sea ice conditions in the coupled regional climate model HIRHAM–NAOSIM X. Yu et al. 10.5194/tc-14-1727-2020
- New observations of the distribution, morphology and dissolution dynamics of cryogenic gypsum in the Arctic Ocean J. Wollenburg et al. 10.5194/tc-14-1795-2020
- Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. 10.1175/MWR-D-18-0360.1
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V. Eyring et al. 10.5194/gmd-13-3383-2020
- Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017 Z. Wang et al. 10.1029/2020EA001278
- Changes in Arctic Stratification and Mixed Layer Depth Cycle: A Modeling Analysis R. Hordoir et al. 10.1029/2021JC017270
- Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019 F. Zhang et al. 10.1002/joc.7340
- 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
- The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. 10.5194/gmd-15-2973-2022
- 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
- Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models X. Lin et al. 10.5194/tc-17-1935-2023
- Particle-Continuum Multiscale Modeling of Sea Ice Floes Q. Deng et al. 10.1137/23M155904X
- 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
- Predicted sea-ice loss will terminate Iceland's driftwood supply by 2060 CE T. Kolář et al. 10.1016/j.gloplacha.2022.103834
- A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm S. Yuan et al. 10.1016/j.ocemod.2024.102326
25 citations as recorded by crossref.
- 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
- Why is summertime Arctic sea ice drift speed projected to decrease? J. Ward & N. Tandon 10.5194/tc-18-995-2024
- Assessing CMIP6 simulations of Arctic sea ice drift: Role of near-surface wind and surface ocean current in model performance X. Wang et al. 10.1016/j.accre.2023.09.005
- Evaluation of Arctic Sea Ice Drift and its Relationship with Near-surface Wind and Ocean Current in Nine CMIP6 Models from China X. Yu et al. 10.1007/s00376-021-1153-4
- Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation C. Dong et al. 10.1007/s00343-022-1241-z
- Reassessing Sea Ice Drift and Its Relationship to Long‐Term Arctic Sea Ice Loss in Coupled Climate Models N. Tandon et al. 10.1029/2017JC013697
- Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
- Sensitivity of the Arctic freshwater content and transport to model resolution R. Fuentes-Franco & T. Koenigk 10.1007/s00382-019-04735-y
- Optimized sea ice simulation in MITgcm-ECCO2 forced by ERA5 E. Gavilan Pascual-Ahuir & Z. Wang 10.1016/j.ocemod.2023.102183
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
- Evaluation of Arctic sea ice drift and its dependency on near-surface wind and sea ice conditions in the coupled regional climate model HIRHAM–NAOSIM X. Yu et al. 10.5194/tc-14-1727-2020
- New observations of the distribution, morphology and dissolution dynamics of cryogenic gypsum in the Arctic Ocean J. Wollenburg et al. 10.5194/tc-14-1795-2020
- Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. 10.1175/MWR-D-18-0360.1
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V. Eyring et al. 10.5194/gmd-13-3383-2020
- Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017 Z. Wang et al. 10.1029/2020EA001278
- Changes in Arctic Stratification and Mixed Layer Depth Cycle: A Modeling Analysis R. Hordoir et al. 10.1029/2021JC017270
- Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019 F. Zhang et al. 10.1002/joc.7340
- 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
- The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. 10.5194/gmd-15-2973-2022
- 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
- Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models X. Lin et al. 10.5194/tc-17-1935-2023
- Particle-Continuum Multiscale Modeling of Sea Ice Floes Q. Deng et al. 10.1137/23M155904X
- 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
- Predicted sea-ice loss will terminate Iceland's driftwood supply by 2060 CE T. Kolář et al. 10.1016/j.gloplacha.2022.103834
- A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm S. Yuan et al. 10.1016/j.ocemod.2024.102326
Latest update: 24 Apr 2024
Short summary
Our study provides a new way to evaluate the performance of a climate model regarding the interplay between sea ice motion, area and thickness in the Arctic against different observation datasets. We show that the NEMO-LIM model is good in that respect and that the relationships between the different sea ice variables are complex. The metrics we developed can be used in the framework of the Coupled Model Intercomparison Project 6 (CMIP6), which will feed the next IPCC report.
Our study provides a new way to evaluate the performance of a climate model regarding the...
