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Land ice forms an important component of the climate system. Sea level variations are closely related to the total ice volume. Purpose of the research project is to obtain a better understanding of how glacier fluctuations and climate change are linked. This is a prerequisite to make more accurate predictions of future sea level.
The project aims at reconstructing the environmental history in the interior Kangerlussuaq region since deglaciation. Focus is placed on the lacustrine and eolian sediments to decipher climate evolution in terms of temperature, evaporation- precipitation balance and phases of high- wind speed events. The overall objectives are to build a high-resolution (decadal-to-century scale) chronostratigraphic framework for past climate variability from the analysis of organic-rich lake sediments and peat filled basins using a variety of sediment analysis techniques (magnetostratigraphy, grainsize, sedimentfractionation techniques, AMS 14C dating, diatom-, pollen- and macrofossil analysis) and sedimentology. Research activities diatom analysis, pollen analysis, magnetic susceptibility, automated correlation techniques, grainsize, organic chemistry, sediment fractionation techniques, AMS radiocarbon dating, sedimentology, mapping, sediment transport and erosion measurements/monitoring, micro-meteorology, vegetation mapping, pollen rain studies, diatom salinity training sets, limnology
Land ice forms an important component of the climate system. Sea level variations are closely related to the total ice volume. However, the relation between glacier mass balance and meteorological conditions is inderstood only broadly. In particular, the strong variation of mass balance patterns on the 10-300 km scale has hardly been investigated. Reduction of the uncertainty in estimating changes in glacier mass balance for climate change scenario's requires a better knowledge of the processes that lead to the spatial variability of glacier mass balance. The goal of the project is to indentify and model the most important factors leading to mesoscale variability of the mass balance field on ice caps.