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利用南极中山站附近固定冰不同季节的温度垂直廓线,冰芯盐度、密度数据,基于Cox等发展的冰内孔隙率计算方法,获得冰内孔隙率的垂直廓线。再通过建立分布参数系统最优控制模型,优化辨识在无热源条件下冰内温度垂直廓线对应的海冰导温系数。通过比较7种冰导温系数同孔隙率的关系,选择出海冰导温系数和孔隙率的最优关系式。用该关系式对同一地点不同年份的海冰进行温度垂直廓线计算,比较辨识的导温系数同孔隙率的关系相对于前人理想海冰模型中的导热系数、比热等公式计算对应条件的海冰垂直温度廓线的优势。两种计算结果说明,辨识得到的关系所引起的偏差在趋势和量级上同理想模式计算的结果相同,但辨识得到的关系更简洁,且更具有物理背景。
Based on the vertical profiles of ice temperature, ice core salinity and density in different seasons of fixed ice near Zhongshan station in Antarctica, the vertical profile of porosity in ice was obtained based on the calculation of the intra-ice porosity of Cox. By establishing the optimal control model of distributed parameter system, the sea ice thermal conductivity coefficient corresponding to the vertical profile of ice temperature without heat source is optimized. By comparing the relationship between the seven kinds of ice thermal conductivity and the porosity, the optimal relationship between sea temperature coefficient of thermal conductivity and porosity was selected. The vertical temperature profile of sea ice in different years at the same location was calculated by this relationship. The relationship between the identified thermal conductivity and porosity was compared with the thermal conductivity and specific heat in the predecessor’s ideal sea-ice model The advantage of sea ice vertical temperature profile. The results of two kinds of calculations show that the deviation caused by the identified relationship is the same in trend and magnitude as the ideal mode, but the identified relationship is more concise and has more physical background.