This paper evaluates the simulation of Arctic sea ice states using an ocean-ice coupled model that employs LASG/IAP(the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/the Institute of Atmospheric Physics) Climate Ocean Model(LICOM) and the sea-ice model from the Bergen Climate Model(BCM).It is shown that the coupled model can reasonably reproduce the major characteristics of the mean state,annual cycle,and interannual variability of the Arctic sea ice conc...
【英文摘要】
This paper evaluates the simulation of Arctic sea ice states using an ocean-ice coupled model that employs LASG/IAP(the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/the Institute of Atmospheric Physics) Climate Ocean Model(LICOM) and the sea-ice model from the Bergen Climate Model(BCM).It is shown that the coupled model can reasonably reproduce the major characteristics of the mean state,annual cycle,and interannual variability of the Arctic sea ice conc...
【基金】
supported by the Key Program of the Chinese Academy of Sciences (KZCX2-YW-218);
the National Basic Research Program of China (2010CB951901)
【更新日期】
2011-10-17
【分类号】
P731.15
【正文快照】
1 Introduction Sea ice is an integral component of the polar climate system (Barry et al., 1993), and it exerts great influence on the global climate. Due to the high albedo of sea ice, the absorption of solar radiation in the poles is greatly reduced. Se
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