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机构地区:[1]中国极地研究中心,上海200136 [2]国家海洋局第二海洋研究所,杭州310012
出 处:《极地研究》2010年第1期79-89,共11页Chinese Journal of Polar Research
基 金:国家科技支撑计划(2006BAB18B03);中国极地科学战略研究基金(20080223)资助
摘 要:介绍了一个北极区域冰-海耦合数值模式的设置与应用。海洋模式基于MIT海洋环流数值模式,海冰动力学过程由Hibler的粘-塑模型发展而来。海冰的热力过程基于Winton提出的三层热力学模型。给出了耦合模式的基本框架,重点介绍了区域冰-海耦合系统中较为重要的程序包,如正交网格生成技术,中尺度涡的参数化,冰-海耦合及开边界处理等。以NCEP再分析资料为大气强迫场,模拟研究了北极夏季海冰范围异常的变化特征(1992—2007),模拟得到的海冰面积变化趋势与SSM/I观测资料进行了对比,两者相关系数达到0.88,模式基本反映了海冰的年际变化特征。以2007年为例,对比分析了9月份海冰密集度分布特征,模式结果得到的海冰范围略大于观测,但基本反映了2007年夏季海冰范围的衰减形态。A regional sea ice-ocean coupled model for the Arctic Ocean was developed. The coupled model was based on the MITgcm ocean circulation model and classical Hibler79 type two category thermodynamics-dynamics sea ice model. The sea ice dynamics was considered based on Viscous-Plastic (VP). The sea ice thermodynamics was considered based on Winton three-layer models. A detailed configuration of coupled model has been introduced. Special attention has been paid to the model grid setup, subgrid paramerization, ice-ocean coupling and open boundary treatment. The coupled model was then applied and two test run examples were presented. The first model run was a climatology simulation with ten years (1992-2002) averaged NCAR/NCEP reanalysis data as atmospheric forcing. The second model run was a seasonal simulation for the period of 1992-2007. The atmospheric forcing was daily NCAR/NCEP reanalysis. The climatology simulation captured the general pattern of the sea ice thickness distribution of the Arctic, i. e. , the thickest sea ice is situated around the Canada Archipelago and the north coast of the Greenland. For the second model run, the modeled September Sea ice extent anomaly from 1992-2007 was highly correlated with the observations, with a linear correlation coefficient of 0. 88. The minimum of the Arctic sea ice area in the September of 2007 was unprecedented. The modeled sea ice area and extent for this minimum was overestimated relative to the observations. However, it captured the general pattern of the sea ice retreat.
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