Assessment of Arctic sea ice simulation by FIO-ESM based on data assimilation experiment

Shu Qi; Qiao Fangli; Bao Ying; Yin Xunqiang

doi:10.3969/j.issn.0253-4193.2015.11.004

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Shu Qi, Qiao Fangli, Bao Ying, Yin Xunqiang. Assessment of Arctic sea ice simulation by FIO-ESM based on data assimilation experiment[J]. Haiyang Xuebao, 2015, 37(11): 33-40. doi: 10.3969/j.issn.0253-4193.2015.11.004

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Shu Qi, Qiao Fangli, Bao Ying, Yin Xunqiang. Assessment of Arctic sea ice simulation by FIO-ESM based on data assimilation experiment[J]. Haiyang Xuebao, 2015, 37(11): 33-40. doi: 10.3969/j.issn.0253-4193.2015.11.004

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Assessment of Arctic sea ice simulation by FIO-ESM based on data assimilation experiment

doi: 10.3969/j.issn.0253-4193.2015.11.004

First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;Key Lab of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao 266061, China

Received Date: 2015-04-20

Abstract

Abstract

In this study, Arctic sea ice during 1992-2013 simulated by FIO-ESM (First Institute of Oceanography-Earth System Model) based on ensemble adjustment Kalman filter data assimilation experiment is assessed. Although only global sea surface temperature and global sea level anomaly are assimilated to FIO-ESM and there is no sea ice assimilation, our study shows that the climatology and long-term trend of Arctic sea ice can also be well reproduced with this kind of data assimilation. The linear trends of Arctic sea ice extent during 1992-2013 from satellite observations and FIO-ESM simulations are -7.06×10⁵ and -6.44×10⁵ km²/(10 a), respectively. The correlation coefficient between modeled and observed Arctic sea ice extent anomalies is 0.78. Compared with the results from FIO-ESM in CMIP5 (Coupled Model Intercomparison Project Phase 5) experiment, the long-term trends of Arctic sea ice extent and sea ice concentration from data assimilation experiment fit the observations much better, so these results from FIO-ESM data assimilation experiment can be used as initial condition for Arctic climate projection.
- data assimilation,
- FIO-ESM,
- climate change,
- Arctic sea ice

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References(21)

References

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