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Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging
2008
Water Resources Research
1 Uncertainty assessments in groundwater modeling applications typically attribute all sources 2 of uncertainty to errors in parameters and inputs, neglecting what may be the primary source 3 of uncertainty, namely, errors in the conceptualization of the system. Confining the set of 4 plausible system representations to a single model leads to under-dispersive and prone to bias 5 predictions. In this work we present a general and flexible approach that combines 6 Generalized Likelihood
doi:10.1029/2008wr006908
fatcat:bfmngyvj25gsdfy3l4ayu67sdq