Collaborative research: Spatial and temporal variability of surface albedo and light absorbing chemical species in Greenland.

合作团队将利用目前资助的格陵兰内陆穿越（GrIT）在Thule和Summit格陵兰之间旅行，以访问GIS的空间多样性区域，以便更好地了解反照率变化和影响反照率的雪属性。GrIT路线为研究格陵兰岛范围广泛的积雪区（即消融区、浸雪区、渗透区和干雪区）提供了一个独特的机会，这些区域预计具有广泛的反照率值，以及雪的物理性质和吸光化合物（即尘埃、元素碳和棕色碳）浓度的显著变化。该项目的现场部分将在2013年春季和2014年春季进行。该方法将包括沿着路径停下来，收集雪的光谱反照率、雪的物理特性（即比表面积、密度）、表面雪光吸收特性（即水溶性化合物和微粒的波长依赖吸收）以及微量元素、有机元素和元素碳的浓度的每日一致测量数据。此外，在阳光充足的月份，将使用沿穿越路线部署的自主站连续监测光谱反照率的时间演变，以跟踪雪反照率的季节性变化，并帮助将这些变化归因于雪的物理和化学成分。该项目的结果将产生一个独特的数据集，描述地表反照率的时空变化以及格陵兰岛雪的物理和化学性质，这对建模、冰质量平衡和遥感社区都有广泛的帮助。会议报告，结果的快速发布，以及最重要的与建模者的密切合作（即通过与CESM PCWG的合作）将确保这些知识用于改进预测全球气候模式中的过程参数化。该团队还将建立在达特茅斯IGERT项目开始的国际合作基础上，包括由联合pi Polashenski担任为期一周的努克大使，并在学院和卡图亚克文化中心举行讲座。研究生、本科生和高中生的培训也将包括在该项目中。

The collaborative team will take advantage of the currently funded Greenland Inland Traverse (GrIT) traveling between Thule and Summit Greenland to access a spatially diverse area of the GIS in order to better understand albedo variability and the snow properties that influence albedo. The GrIT route offers a unique opportunity to study a wide range of snow accumulation zones (i.e. the ablation zone, soaked snow zone, the percolation zone and the dry snow zone) across Greenland, which are expected to have a broad range of albedo values as well as significant variability in snow physical properties and concentrations of light absorbing compounds (i.e. dust, elemental carbon, and brown carbon). The project's field component will take place over two seasons during the spring of 2013 and 2014. The approach will include stopping along the traverse to collect coincident daily measurements of snow spectral albedo, snow physical properties (i.e. specific surface area, density), surface snow light absorption properties (i.e. wavelength dependent absorption of water soluble compounds and particulates), and the concentrations of trace elements, organic, and elemental carbon. Additionally, the temporal evolution of spectral albedo will be monitored continuously during the sunlit months using autonomous stations deployed along the traverse route to track seasonal variations of snow albedo and to help attribute these variations to the physical and chemical composition of the snow. The results of this project will yield a unique data set characterizing the temporal and spatial variability of surface albedo as well as the physical and chemical properties of Greenland snow, which are broadly useful to both modeling, ice mass balance, and remote sensing communities. Conference presentations, rapid publication of results, and most importantly close collaboration with modelers, (i.e. through work with the CESM PCWG) will ensure that this knowledge used to improve process parameterizations in predictive global climate models. The team will also build on international collaborations begun in the Dartmouth IGERT program, including a week-long ambassadorship to Nuuk by co-PI Polashenski including lectures at the college and Katuuaq cultural center. Graduate, undergraduate, and high school student training will also be included in the project.