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The impact of parametric uncertainty and topographic error in ice-sheet modelling


Hebeler, Felix; Purves, Ross S; Jamieson, Stewart R (2008). The impact of parametric uncertainty and topographic error in ice-sheet modelling. Journal of Glaciology, 54(188):889-919.

Abstract

Ice sheet models (ISM) developed to simulate the behaviour of continental scale ice sheets under past, present or future climate scenarios are subject to a number of uncertainties from various sources. These sources include the conceptualisation of the ISM and the degree of abstraction and parameterisations of processes such as ice dynamics and mass balance. Assumptions of spatially or temporally constant parameters such as degree day factor, atmospheric lapse rate or geothermal heat flux are one example. Additionally, uncertainties in ISM input data such as topography or precipitation propagate to the model results. In order to assess and compare the impact of uncertainties from model parameters and climate on the GLIMMER ice sheet model, a parametric uncertainty analysis (PUA) was conducted. Parameter variation was deduced from a suite of sensitivity tests, accuracy information deduced from input data and the literature. Recorded variation of modelled ice extent across the PUA runs was 65% for equilibrium ice sheets. Additionally, the susceptibility of ISM results to modelled uncertainty in input topography was assessed. Resulting variations in modelled ice extent of the range of 1-6.6% are comparable to that of ISM parameters such as flow enhancement, basal traction or geothermal heat flux.

Ice sheet models (ISM) developed to simulate the behaviour of continental scale ice sheets under past, present or future climate scenarios are subject to a number of uncertainties from various sources. These sources include the conceptualisation of the ISM and the degree of abstraction and parameterisations of processes such as ice dynamics and mass balance. Assumptions of spatially or temporally constant parameters such as degree day factor, atmospheric lapse rate or geothermal heat flux are one example. Additionally, uncertainties in ISM input data such as topography or precipitation propagate to the model results. In order to assess and compare the impact of uncertainties from model parameters and climate on the GLIMMER ice sheet model, a parametric uncertainty analysis (PUA) was conducted. Parameter variation was deduced from a suite of sensitivity tests, accuracy information deduced from input data and the literature. Recorded variation of modelled ice extent across the PUA runs was 65% for equilibrium ice sheets. Additionally, the susceptibility of ISM results to modelled uncertainty in input topography was assessed. Resulting variations in modelled ice extent of the range of 1-6.6% are comparable to that of ISM parameters such as flow enhancement, basal traction or geothermal heat flux.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:19 December 2008
Deposited On:21 Jan 2009 15:47
Last Modified:05 Apr 2016 12:25
Publisher:International Glaciological Society
ISSN:0022-1430
Publisher DOI:10.3189/002214308787779852
Official URL:http://www.igsoc.org/journal/54/188/t08j023.pdf
Related URLs:http://www.igsoc.org/journal/54/188/index.html
Permanent URL: http://doi.org/10.5167/uzh-3115

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