Collaborative Research: Detailed investigation of the dynamic component of sea ice mass balance

由野外考察、遥感分析和建模组成的活动，旨在研究海冰运动的机制，特别是导冰的打开和闭合形成脊的机制，有助于北极冰盖的质量平衡。实地战役计划在2007年春季进行2个月，利用计划中的美国海军冰营。营地的季节和地点发生在这种动态成分主导冰盖质量平衡的时候和地方，冰盖接近其年平均厚度的最大值。收集的数据将用于直接验证冰袋内应力和应变率与冰块的机械再分布之间关系的模型参数化。pi将测试全球气候模式（GCM）中常用的模式配置，为GCM界提供一个直接的估计，即这些模式如何准确地再现脊状隆起和冰厚分布的动态-热力学控制。将进行一系列的模式运行，以估计海冰质量对模式参数和变量的敏感性。对该模型输出、观测和传感器内部比较的综合分析将允许确定关键监测需求，以补充模型的不确定性。这项研究的结果将有助于更好地理解导致北极海冰变化的过程，增强这些过程的模型，并由此改进对气候系统重要方面的轨迹的预测，例如最近观测到的北冰洋夏季海冰范围的减少。

Hutchings - 0612527Geiger -0611991Kambhamettu - 0612105A campaign consisting of fieldwork, remote sensing analyses, and modelling is proposed to investigate the mechanisms whereby the motion of sea ice, in particular the opening of leads and their closing to form ridges, contribute to the mass balance of the arctic ice pack. The field campaign is proposed to occur over a 2-month period in spring 2007, taking advantage of the planned U.S. Navy ice camp. The season and location of the camp occur when and where this dynamic component dominates the mass balance of an ice cover that is nearing its maximum annual mean thickness. Data collected will be used to directly validate model parameterizations of the relationship between stress and strain rate within the ice pack and the mechanical redistribution of ice mass. The PIs will test model configurations commonly used in Global Climate Models (GCMs), to provide the GCM community with a direct estimate of how accurately such models reproduce the ridging and dynamic-thermodynamic control of the ice thickness distribution. A series of model runs will be performed to estimate sea ice mass sensitivity to model parameters and variables. Combined analysis of this model output, observations and sensor inter-comparisons will allow identification of key monitoring requirements to complement model uncertainties. The results of this study will contribute to a better understanding of the processes contributing to variations in the arctic sea ice pack, enhancements to models of such processes, and consequent improved predictions of the trajectory of important aspects of the climate system, such as the recently observed reduction in summer sea ice extent in the Arctic Ocean.