Data error and highly parameterized groundwater models



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Strengths and weaknesses of highly parameterized models, in which the number of parameters exceeds the number of observations, are demonstrated using a synthetic test case. Results suggest that the approach can yield close matches to observations but also serious errors in system representation. It is proposed that avoiding the difficulties of highly parameterized models requires close evaluation of: (1) model fit, (2) performance of the regression, and (3) estimated parameter distributions. Comparisons to hydrogeologic information are expected to be critical to obtaining credible models. Copyright ?? 2008 IAHS Press.

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Data error and highly parameterized groundwater models
ISBN 9781901502497
Issue 320
Year Published 2008
Language English
Larger Work Title IAHS-AISH Publication
First page 316
Last page 321
Conference Title International Conference on Calibration and Reliability in Groundwater Modelling: Credibility of Modelling, M
Conference Location Copenhagen
Conference Date 9 September 2007 through 13 September 2007