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Environmental ScienceComputer Science

Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?

J. Vrugt, C. Braak, H. Gupta, B. Robinson

2009STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

DOI: 10.1007/s00477-008-0274-y

tlooto Summary

This paper compares a formal Bayesian approach using Markov Chain Monte Carlo (MCMC) with generalized likelihood uncertainty estimation (GLUE) for assessing uncertainty in conceptual watershed modeling and demonstrates that DREAM and GLUE can generate very similar estimates of total streamflow uncertainty.

Abstract

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Citation format

VRUGT, J., et al. Equifinality of formal (DREAM) and informal (GLUE) bayesian approaches in hydrologic modeling? STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23: 1011–1026.