Articles | Volume 11, issue 6
The Cryosphere, 11, 2829–2846, 2017
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.
The Cryosphere, 11, 2829–2846, 2017
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 et al.
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Cited
10 citations as recorded by crossref.
- 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
- Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017 Z. Wang et al. 10.1029/2020EA001278
- Sensitivity of the Arctic freshwater content and transport to model resolution R. Fuentes-Franco & T. Koenigk 10.1007/s00382-019-04735-y
- 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
- The Future of Sea Ice Modeling: Where Do We Go from Here? E. Blockley et al. 10.1175/BAMS-D-20-0073.1
10 citations as recorded by crossref.
- 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
- Spatial and Temporal Variations of Arctic Sea Ice From 2002 to 2017 Z. Wang et al. 10.1029/2020EA001278
- Sensitivity of the Arctic freshwater content and transport to model resolution R. Fuentes-Franco & T. Koenigk 10.1007/s00382-019-04735-y
- 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
- The Future of Sea Ice Modeling: Where Do We Go from Here? E. Blockley et al. 10.1175/BAMS-D-20-0073.1
Latest update: 02 Mar 2021
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...
