Uncertainty Assessment in Hydrologic Modeling: Comparison of GLUE and Markov Chain Monte Carlo methods

Roberta-Serena Blasone, Jasper A. Vrugt, Henrik Madsen, Dan Rosbjerg & Roberta-Serena Blasone
In recent years, predictive uncertainty analysis in hydrologic modeling has become an active area of research. Many different methods have been proposed to obtain meaningful confidence intervals on the model predictions. These methods rely on different assumptions on how input, output, parameter and model structural error are made explicit, and therefore generate different output prediction uncertainty ranges. One of the most commonly used methods to quantify output uncertainty is the Generalized Likelihood Uncertainty Estimation technique,...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.