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

这一研究项目将改善北极上层海洋-海冰过程在全球气候模式中的代表性。将使用现有的海洋环流模式来描述中尺度表层海洋涡旋。它将与海冰环流和海冰热力学模型相结合，该模型量化了海冰形成和融化的季节性过程。将包括一个大气边界层模式，该模式将确定海冰边界附近的可见光和红外辐射、风和大气条件之间的平衡。然后，该模型将用于测试冰-反照率反馈和海洋混合层动力学的简化参数，以确定哪些参数最好地描述了在为期一年的SHEBA实验期间观察到的条件。然后，将利用最符合SHEBA数据的参数来检查中尺度表面海洋涡旋对冰动力学的作用及其对冰-反照率反馈的影响。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.