Research article
21 Oct 2016
Research article
| 21 Oct 2016
Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts
Chao-Yuan Yang et al.
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Cited
10 citations as recorded by crossref.
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Quantifying predictability of sea ice around the Indian Antarctic stations using coupled ocean sea ice model with shelf ice A. Kumar et al. 10.1016/j.polar.2018.04.003
- Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. 10.1029/2019MS001938
- Remote and Local Processes Controlling Decadal Sea Ice Variability in the Weddell Sea Y. Morioka & S. Behera 10.1029/2020JC017036
- Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model A. Ordoñez et al. 10.1175/JCLI-D-18-0348.1
- Pacific Ocean Variability Influences the Time of Emergence of a Seasonally Ice‐Free Arctic Ocean J. Screen & C. Deser 10.1029/2018GL081393
- An Assessment of the Antarctic Sea Ice Mass Budget Simulation in CMIP6 Historical Experiment S. Li et al. 10.3389/feart.2021.649743
- Partitioning uncertainty in projections of Arctic sea ice D. Bonan et al. 10.1088/1748-9326/abe0ec
- Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S. Marchi et al. 10.1007/s00382-018-4292-2
- Major Contribution of Reduced Upper Ocean Oxygen Mixing to Global Ocean Deoxygenation in an Earth System Model D. Couespel et al. 10.1029/2019GL084162
10 citations as recorded by crossref.
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Quantifying predictability of sea ice around the Indian Antarctic stations using coupled ocean sea ice model with shelf ice A. Kumar et al. 10.1016/j.polar.2018.04.003
- Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. 10.1029/2019MS001938
- Remote and Local Processes Controlling Decadal Sea Ice Variability in the Weddell Sea Y. Morioka & S. Behera 10.1029/2020JC017036
- Processes Controlling Arctic and Antarctic Sea Ice Predictability in the Community Earth System Model A. Ordoñez et al. 10.1175/JCLI-D-18-0348.1
- Pacific Ocean Variability Influences the Time of Emergence of a Seasonally Ice‐Free Arctic Ocean J. Screen & C. Deser 10.1029/2018GL081393
- An Assessment of the Antarctic Sea Ice Mass Budget Simulation in CMIP6 Historical Experiment S. Li et al. 10.3389/feart.2021.649743
- Partitioning uncertainty in projections of Arctic sea ice D. Bonan et al. 10.1088/1748-9326/abe0ec
- Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S. Marchi et al. 10.1007/s00382-018-4292-2
- Major Contribution of Reduced Upper Ocean Oxygen Mixing to Global Ocean Deoxygenation in an Earth System Model D. Couespel et al. 10.1029/2019GL084162
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Latest update: 08 Aug 2022
Short summary
The anomaly correlation analysis between the decadal hindcast and observed sea ice suggests that in the Arctic, the areas showing significant predictive skill become broader associated with increasing lead times. This area expansion is largely because nearly all the models are capable of predicting the observed decreasing Arctic sea ice cover. Antarctic sea ice decadal hindcasts do not show broad predictive skill at any timescales.
The anomaly correlation analysis between the decadal hindcast and observed sea ice suggests that...