Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models

a review

Majid Mirzaei, Yuk Feng Huang, Ahmed El-Shafie, Akib Shatirah

    Research output: Contribution to journalArticle

    23 Citations (Scopus)

    Abstract

    The generalized likelihood uncertainty estimation (GLUE) technique is an innovative uncertainty method that is often employed with environmental simulation models. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. There are now a lot of citations to their original paper which illustrates GLUE tremendous impact. GLUE’s popularity can be attributed to its simplicity and its applicability to nonlinear systems, including those for which a unique calibration is not apparent. The GLUE was introduced for use in uncertainty analysis of watershed models has now been extended well beyond rainfall-runoff watershed models. Given the widespread adoption of GLUE analyses for a broad range or problems, it is appropriate that the validity of the approach be examined with care. In this article, we present an overview of the application of GLUE for assessing uncertainty distribution in hydrological models particularly surface and subsurface hydrology and briefly describe algorithms for sampling of the prior parameter in hydrologic simulation models.

    Original languageEnglish
    Pages (from-to)1265-1273
    Number of pages9
    JournalStochastic Environmental Research and Risk Assessment
    Volume29
    Issue number5
    DOIs
    Publication statusPublished - 10 Jul 2015

    Fingerprint

    watershed
    Watersheds
    uncertainty analysis
    simulation
    hydrology
    Uncertainty analysis
    Uncertainty
    Hydrology
    runoff
    calibration
    Runoff
    rainfall
    Rain
    sampling
    Nonlinear systems
    Calibration
    Sampling
    distribution
    method
    parameter

    Keywords

    • GLUE
    • Groundwater
    • Hydrological modeling
    • Rainfall-runoff modeling
    • Uncertainty
    • Water quality

    ASJC Scopus subject areas

    • Environmental Engineering
    • Environmental Science(all)
    • Environmental Chemistry
    • Water Science and Technology
    • Safety, Risk, Reliability and Quality

    Cite this

    Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models : a review. / Mirzaei, Majid; Huang, Yuk Feng; El-Shafie, Ahmed; Shatirah, Akib.

    In: Stochastic Environmental Research and Risk Assessment, Vol. 29, No. 5, 10.07.2015, p. 1265-1273.

    Research output: Contribution to journalArticle

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