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

观察表明，海冰上融化池塘的数量和大小主要由融化季节开始时的冰地形决定，第一年冰的行为与多年冰的行为非常不同。通过在有限的表面积(200米×200米)上应用详细的海冰模型并研究池塘如何在给定不同海冰特性的情况下形成，提供了资金来检验这一假设。这些实验的结果将与希巴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。他们的目标是利用这些案例来改进国家大气研究中心(NCAR)社区气候系统模式(CCSM)和洛斯阿拉莫斯国家实验室(LANL)CICE模式中的海冰参数化。这项研究的总体目标是更好地理解和模拟控制海冰演变的热力学过程。具体目标是：1.开发一个直接分解融化池塘的热力学海冰模式，使用观测数据对该模式进行初始化和测试；2.进行模式实验，以考察初始冰面地形和积雪如何影响融化池塘的形成和冰的整体融化速度；3.确定池塘大小和分布的影响是否可以在使用现有池塘体积方法的气候模型中充分参数化，或者是否需要冰厚度分布；以及4.确定是否可以使用现有池塘体积方法在气候模型中充分地参数化池塘大小和分布的影响；以及量化当前和改变的气候模式参数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.