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

Beven, Keith J. and Binley, Andrew M. (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes, 6 (3). pp. 279-298. ISSN 1099-1085

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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.

Item Type:
Journal Article
Journal or Publication Title:
Hydrological Processes
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/ge
Subjects:
?? DRAINAGE BASINSDIGITAL SIMULATIONMETHODSERRORSBOUNDARY CONDITIONSCALIBRATIONOBSERVATIONSHYDROGRAPHSSTORMSCASE STUDIESWALESUNCERTAINTYLIKELIHOOD RATIOUPDATINGBAYES DECISIONPARAMETER ESTIMATIONUNITED KINGDOMEUROPEWATER SCIENCE AND TECHNOLOGYGE ENVIRONMENTAL ??
ID Code:
22741
Deposited By:
Deposited On:
13 Jan 2009 14:51
Refereed?:
No
Published?:
Published
Last Modified:
16 Sep 2023 00:18