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

该合作团队将利用目前资助的格陵兰内陆导线（GrIT）在图勒和格陵兰峰会之间旅行，以访问地理信息系统的空间多样性区域，以便更好地了解格陵兰岛的变化和影响格陵兰岛的雪的特性。GrIT路线提供了一个独特的机会，可以研究整个格陵兰的各种积雪区（即消融区、浸雪区、渗透区和干雪区），预计这些积雪区将有各种各样的积雪值以及雪的物理特性和吸光化合物（即灰尘、元素碳和棕色碳）浓度的显著变化。该项目的实地部分将在2013年和2014年春季分两个季度进行。该方法将包括停止沿着导线收集一致的雪的光谱反射率，雪的物理特性（即比表面积，密度），表面雪光吸收特性（即波长依赖的水溶性化合物和颗粒的吸收），和微量元素，有机和元素碳的浓度的日常测量。此外，在阳光充足的月份，将利用沿着穿越路线部署的自主台站持续监测光谱积雪的时间演变，以跟踪积雪的季节性变化，并帮助将这些变化归因于积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，描述地表冰的时空变化以及格陵兰雪的物理和化学特性，这对建模、冰量平衡和遥感界都有广泛的用处。会议介绍、结果的快速公布以及最重要的是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性全球气候模型的过程参数化。 该团队还将在达特茅斯IGERT项目中开始的国际合作的基础上再接再厉，包括由联合PI Polashenski担任努克为期一周的大使，包括在学院和卡图瓦克文化中心举办讲座。 研究生、本科生和高中生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.