The future of distributed models: model calibration and uncertainty prediction.

Lancaster Environment Centre

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https://doi.org/10.1002/hyp.3360060305
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Keywords

drainage basins, digital simulation, methods, errors, boundary conditions, calibration, observations, hydrographs, storms, case studies, Wales, Uncertainty, Likelihood ratio, Updating, Bayes decision, Parameter estimation, United Kingdom, Europe

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The future of distributed models: model calibration and uncertainty prediction. / Beven, Keith J.; Binley, Andrew M.
In: Hydrological Processes, Vol. 6, No. 3, 1992, p. 279-298.

Research output: Contribution to Journal/Magazine › Journal article

Bibtex

@article{f871c6e1729e426f9df775c33ab2711c,

title = "The future of distributed models: model calibration and uncertainty prediction.",

abstract = "This paper describes a methodology for calibration and uncertainty estimation of distributed models based on generalized likelihood measures. The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment. Procedures for incorporating different types of observations into the calibration; Bayesian updating of likelihood values and evaluating the value of additional observations to the calibration process are described. The procedure is computationally intensive but has been implemented on a local parallel processing computer.",

keywords = "drainage basins, digital simulation, methods, errors, boundary conditions, calibration, observations, hydrographs, storms, case studies, Wales, Uncertainty, Likelihood ratio, Updating, Bayes decision, Parameter estimation, United Kingdom, Europe",

author = "Beven, {Keith J.} and Binley, {Andrew M.}",

year = "1992",

doi = "10.1002/hyp.3360060305",

language = "English",

volume = "6",

pages = "279--298",

journal = "Hydrological Processes",

issn = "1099-1085",

publisher = "John Wiley and Sons Ltd",

number = "3",

}

RIS

TY - JOUR

T1 - The future of distributed models: model calibration and uncertainty prediction.

AU - Beven, Keith J.

AU - Binley, Andrew M.

PY - 1992

Y1 - 1992

N2 - This paper describes a methodology for calibration and uncertainty estimation of distributed models based on generalized likelihood measures. The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment. Procedures for incorporating different types of observations into the calibration; Bayesian updating of likelihood values and evaluating the value of additional observations to the calibration process are described. The procedure is computationally intensive but has been implemented on a local parallel processing computer.

AB - This paper describes a methodology for calibration and uncertainty estimation of distributed models based on generalized likelihood measures. The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment. Procedures for incorporating different types of observations into the calibration; Bayesian updating of likelihood values and evaluating the value of additional observations to the calibration process are described. The procedure is computationally intensive but has been implemented on a local parallel processing computer.

KW - drainage basins

KW - digital simulation

KW - methods

KW - errors

KW - boundary conditions

KW - calibration

KW - observations

KW - hydrographs

KW - storms

KW - case studies

KW - Wales

KW - Uncertainty

KW - Likelihood ratio

KW - Updating

KW - Bayes decision

KW - Parameter estimation

KW - United Kingdom

KW - Europe

U2 - 10.1002/hyp.3360060305

DO - 10.1002/hyp.3360060305

M3 - Journal article

VL - 6

SP - 279

EP - 298

JO - Hydrological Processes

JF - Hydrological Processes

SN - 1099-1085

IS - 3

ER -

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