HR: 1340h
AN: C43B-0226    [Abstracts]
TI: Using a GIS to Facilitate the Reconstruction of the Scandinavian Ice Sheet
AU: * Napieralski, J A
EM: jnapiera@purdue.edu
AF: Purdue University, 550 Stadium Mall Drive Civil Engineering Building, West Lafayette, IN 47907 United States
AU: Hubbard, A
EM: alh@geo.ed.ac.uk
AF: University of Edinburgh, Geography School of Geosciences Drummond Street, Edinburgh, EH8 9XP United Kingdom
AU: Li, Y
EM: li144@purdue.edu
AF: Purdue University, 550 Stadium Mall Drive Civil Engineering Building, West Lafayette, IN 47907 United States
AU: Harbor, J
EM: jharbor@purdue.edu
AF: Purdue University, 550 Stadium Mall Drive Civil Engineering Building, West Lafayette, IN 47907 United States
AU: Harbor, J
EM: jharbor@purdue.edu
AF: University of Stockholm, Department of Physical Geography and Quaternary Geology Svante Arrhenius v„g 8 C, Edinburgh, SE-106-91 Sweden
AU: Stroeven, A
EM: arjen@geo.su.se
AF: Purdue University, 550 Stadium Mall Drive Civil Engineering Building, West Lafayette, IN 47907 United States
AU: Stroeven, A
EM: arjen@geo.su.se
AF: University of Stockholm, Department of Physical Geography and Quaternary Geology Svante Arrhenius v„g 8 C, Edinburgh, SE-106-91 Sweden
AB: Major limitations in the successful use of ice sheet models for climate research arise from limited field data for model verification and the end result may be unrealistic simulations of ice sheet inception, growth, and decay. If a numerical ice sheet model is to be considered an accurate reconstruction of a previous glacial cycle, then the estimated ice marginal positions, subglacial regime, and ice flow charateristics must reasonably agree with field observations. A high resolution, three-dimensional, thermomechanical model was used to simulate the Fennoscandian Ice Sheet (FIS) through the last glacial maximum. Field observations from Denmark, Kola Peninsula, and the Kiruana and Stockholm regions have been digitized and are used for model verification. A Geographic Information System (GIS) was used to integrate model output and field observations (i.e., moraines, eskers, lineations) into one database. A technique that utilizes a system of buffering and overlay was used to determine the proximity and parallel conformity between model and empirical data. Through an iterative process, numerous model runs were tested to find which modeled ice margins best agree with field data. Once the "best fit" model runs were selected, field observations were then used to verify ice flow direction. The end result is a method that links a numerical ice sheet model with field evidence that constrains the marginal extent and general ice flow patterns. Results from this project can improve contemporary knowledge on the evolution of the subglacial thermal regime, as well as the inception and growth of the Scandinavian Ice Sheet during the LGM.
DE: 9315 Arctic region
DE: 1824 Geomorphology (1625)
DE: 1827 Glaciology (1863)
DE: 1863 Snow and ice (1827)
DE: 1620 Climate dynamics (3309)
SC: Cryosphere [C]
MN: 2004 AGU Fall Meeting