Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3427-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3427-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
23 Sep 2016
Methods for assessment of models |
| 23 Sep 2016
The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations
Max Planck Institute for Meteorology, Hamburg, Germany
Alexandra Jahn
Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research, University of Colorado at Boulder, Boulder, Colorado, USA
Marika Holland
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA
Elizabeth Hunke
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
François Massonnet
Earth Sciences Department, Barcelona Supercomputing Center (BSC-CNS), Barcelona, Spain
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Julienne Stroeve
National Snow and Ice Data Center, Boulder, Colorado, USA
University College London, London, UK
Bruno Tremblay
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Canada
Martin Vancoppenolle
Sorbonne Universités, UPMC Paris 6, LOCEAN-IPSL, CNRS/IRD/MNHN, Paris, France
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76 citations as recorded by crossref.
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- Assessment of Snow Depth over Arctic Sea Ice in CMIP6 Models Using Satellite Data S. Chen et al. 10.1007/s00376-020-0213-5
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- A Spatial Evaluation of Arctic Sea Ice and Regional Limitations in CMIP6 Historical Simulations M. Watts et al. 10.1175/JCLI-D-20-0491.1
- Spatio-temporal variability of sea-ice and ocean parameters over the Arctic Ocean in response to a warming climate S. Ravindran et al. 10.1016/j.polar.2021.100721
- Assessment of Antarctic sea ice area and concentration in Coupled Model Intercomparison Project Phase 5 and Phase 6 models F. Casagrande et al. 10.1002/joc.7916
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- Inter-comparison of global ice sea coupling model based on NEMO and MITgcm X. Liu et al. 10.1088/1742-6596/2486/1/012027
- Arctic Sea Ice in CMIP6 D. Notz & S. Community 10.1029/2019GL086749
- Quantifying climate feedbacks in polar regions H. Goosse et al. 10.1038/s41467-018-04173-0
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- Similarities and Differences in Arctic Sea‐Ice Loss During the Solar‐Forced Last Interglacial Warming (127 Kyr BP) and CO2‐Forced Future Warming M. Sicard et al. 10.1029/2023GL104782
- An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models A. Keen et al. 10.5194/tc-15-951-2021
2 citations as recorded by crossref.
- The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1 J. Day et al. 10.5194/gmd-9-2255-2016
- OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project S. Griffies et al. 10.5194/gmd-9-3231-2016
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
The large-scale evolution of sea ice is both an indicator and a driver of climate changes. Hence, a realistic simulation of sea ice is key for a realistic simulation of the climate system of our planet. To assess and to improve the realism of sea-ice simulations, we present here a new protocol for climate-model output that allows for an in-depth analysis of the simulated evolution of sea ice.
The large-scale evolution of sea ice is both an indicator and a driver of climate changes....
