Spatial variation in energy exchange across coastal environments in Greenland

Wednesday, 16 December 2015: 13:55
2006 (Moscone West)
Magnus Lund1, Jakob Abermann2, Michele Citterio3, Birger Ulf Hansen4, Signe Hillerup Larsen3, Christian Stiegler5, Lise Lotte Sørensen1 and Dirk van As3, (1)Aarhus University, Department of Bioscience, Aarhus, Denmark, (2)Organization Not Listed, Washington, DC, United States, (3)Geological Survey of Denmark and Greenland, Copenhagen, Denmark, (4)University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark, (5)Lund University, Lund, Sweden
The surface energy partitioning in Arctic terrestrial and marine areas is a crucial process, regulating snow, glacier ice and sea ice melt, and permafrost thaw, as well as modulating Earth’s climate on both local, regional, and eventually, global scales. The Arctic region has warmed approximately twice as much as the global average, due to a number of feedback mechanisms related to energy partitioning, most importantly the snow and ice-albedo feedback.

However, direct measurements of surface energy budgets in the Arctic are scarce, especially for the cold and dark winter period and over transects going from the ice sheet and glaciers to the sea. This study aims to describe annual cycles of the surface energy budget from various surface types in Arctic Greenland; e.g. glacier, snow, wet and dry tundra and sea ice, based on data from a number of measurement locations across coastal Greenland related to the Greenland Ecosystem Monitoring (GEM) program, including Station Nord/Kronprins Christians Land, Zackenberg/Daneborg, Disko, Qaanaq, Nuuk/Kobbefjord and Upernaviarsuk.

Based on the available time series, we will analyze the sensitivity of the energy balance partitioning to variations in meteorological conditions (temperature, cloudiness, precipitation). Such analysis would allow for a quantification of the spatial variation in the energy exchange in aforementioned Arctic environments. Furthermore, this study will identify uncertainties and knowledge gaps in Arctic energy budgets and related climate feedback effects.