Improving Parameterizations in Climate Models of Sub-Grid-Scale Processes in the Upper-Ocean Waters of the Arctic using SHEBA Data

这一研究项目将改进北极上层海洋海冰过程在全球气候模式中的表现。 将使用一个现有的海洋大气环流模式，其分辨率可用来描述中尺度海洋表面涡旋。 它将与一个海冰环流和海冰热力学模型相结合，这些模型将海冰形成和融化的季节性过程量化。 将包括一个大气边界层模型，该模型将确定可见光和红外辐射、风和海冰边界附近的大气条件之间的平衡。 然后，该模型将用于测试冰-水反馈和海洋混合层动力学的简化参数化，以确定哪些参数化最能描述在长达一年的SHEBA实验期间观察到的条件。 最适合的SHEBA数据的参数化，然后将被用来检查中尺度的表面海洋涡旋的冰动力学的作用和它的影响的冰-水反馈。 这些研究将在全球气候模型中更好地描述北冰洋。

This research project will improve the representation of Arctic upper-ocean - sea-ice processes in global climate models. An existing general circulation model of the oceans of a resolution to describe meso-scale surface ocean eddies would be used. It will be coupled to a model of sea-ice circulation and sea-ice thermodynamics which quantity the seasonal processes of sea-ice formation and melting. An atmospheric boundary layer model would be included which would define the balances between visible and infrared radiation, winds, and atmospheric conditions near the sea-ice boundary. The model would then be used to test simplified parameterizations of the ice-albedo feedback and of ocean mixed layer dynamics to see which parameterizations best describe conditions observed during the year-long SHEBA experiment. The parameterizations which best fit the SHEBA data would then be utilized to examine role of meso-scale surface ocean eddies on ice dynamics and its impact on the ice-albedo feedback. These studies will result in better descriptions of the Arctic Ocean in global climate models.