Collaborative research: Development of a thermodynamic sea ice model with resolved melt ponds for use in linking climate model parameterizations with field data

观测结果表明，海冰上的融化池的数量和大小主要受融化季节开始时的冰地形的影响，第一年的冰与多年冰的行为大不相同。通过在有限的表面积（200米x200米）上应用详细的海冰模型，并研究在不同海冰特性下池塘是如何形成的，提供了资金来测试这一假设。这些实验的结果将与SHEBA实验的现场数据和最近在阿拉斯加巴罗海岸进行的观测结果进行比较。他们的目标是使用这些情况下，以改善海冰参数化在国家大气研究中心（NCAR）社区气候系统模式（CCSM）和洛斯阿拉莫斯国家实验室（LANL）CICE model.The一般目标的研究是更好地了解和模拟的热力学过程，控制海冰的演变。具体目标是：1.建立一个直接求解融化池的海冰热力学模式，利用观测资料对模式进行初始化和检验;2.进行模型试验，研究初始冰面地形和积雪对融池形成和冰的整体融化速率的影响;确定池塘大小和分布的影响是否可以在气候模型中使用现有的池塘体积方法进行充分的参数化，或者是否需要冰厚分布;以及4.量化当前和变化的气候模式参数化对模拟的北极气候和气候变化的影响。

Observations suggest that melt pond number and sizes on sea ice are governed mainly by the ice topography at the beginning of the melt season, and that first year ice behaves much differently from multi-year ice. Funds are provided to test this hypothesis by applying a detailed sea ice model over a limited surface area (200 m x 200 m) and examining how ponds form given different sea ice properties. Results from these experiments will be compared to field data from the SHEBA experiment and more recent observations taken off the coast of Barrow Alaska. Their goal is to use these cases to improve sea ice parameterizations in the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM) and the Los Alamos National Laboratory (LANL) CICE model.The general objective of this study is to better understand and model the thermodynamic processes that control the evolution of sea ice. Specific objectives are to:1. Develop a thermodynamic sea ice model with directly resolved melt ponds, using observational data to initialize and test the model;2. Conduct model experiments to examine how the initial ice surface topography and snow cover affect the formation of melt ponds and the overall melting rate of the ice;3. Determine if the effects of pond size and distribution can be adequately parameterized in climate models using existing pond volume methods or if ice thickness distributions are required; and4. Quantify the effect of current and altered climate model parameterizations on the modeled Arctic climate and climate change.