Critical Evaluation of Parameter Consistency and Predictive Uncertainty in Hydrological Modelling : a Case Study Using Bayesian Total Error Analysis

@inproceedings{Thyer2009CriticalEO,
  title={Critical Evaluation of Parameter Consistency and Predictive Uncertainty in Hydrological Modelling : a Case Study Using Bayesian Total Error Analysis},
  author={Mark Thyer and Benjamin Renard and Dmitri Kavetski and George Kuczera and Stewart William Franks and Sri Srikanthan},
  year={2009}
}
The lack of a robust framework for quantifying the parametric and predictive uncertainty of conceptual rainfall runoff (CRR) models remains a key challenge in hydrology. The Bayesian total error analysis (BATEA) methodology provides a comprehensive framework to hypothesize, infer and evaluate probability models describing input, output and model structural error. This paper assesses the ability of BATEA and standard calibration approaches (standard least squares (SLS) and weighted least squares… CONTINUE READING
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