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Towards a GIS assessment of numerical ice sheet model performance using geomorphological data
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2007 (English)In: Journal of Glaciology, Vol. 53, no 180, 71-83 p.Article in journal (Refereed) Published
Abstract [en]

A major difficulty in assimilating geomorphological information with ice-sheet models is the lack of a consistent methodology to systematically compare model output and field data. As an initial step in establishing a quantitative comparison methodology, automated proximity and conformity analysis (APCA) and automated flow direction analysis (AFDA) have been developed to assess the level of correspondence between modelled ice extent and ice-marginal features such as end moraines, as well as between modelled basal flow directions and palaeo-flow direction indicators, such as glacial lineations. To illustrate the potential of such an approach, an ensemble suite of 40 numerical simulations of the Fennoscandian ice sheet were compared to end moraines of the Last Glacial Maximum and the Younger Dryas and to glacial lineations in northern Sweden using APCA and AFDA. Model experiments evaluated in this manner were ranked according to level of correspondence. Such an approach holds considerable promise for optimizing the parameter space and coherence of ice-flow models by automated, quantitative assessment of multiple ensemble experiments against a database of geological or glaciological evidence.

Place, publisher, year, edition, pages
2007. Vol. 53, no 180, 71-83 p.
Keyword [en]
Fennoscandian ice sheet, GIS, numerical ice sheet model, model evaluation, APCA, AFDA
National Category
Physical Geography Geology Climate Research
URN: urn:nbn:se:su:diva-16694ISI: 000246007900006OAI: diva2:183214
The material is based upon work supported by the US National Science Foundation (NSF) through grant No. OPP-0138486 to Harbor, and the Swedish Research Council (VR) through grant Nos. G-AA/GU 12034-301 and 621-2001-2331 to Stroeven.Available from: 2008-06-18 Created: 2008-06-18 Last updated: 2011-01-11Bibliographically approved

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Stroeven, ArjenKleman, JohanAlm, GöranJansson, Krister
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Department of Physical Geography and Quaternary Geology
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