A framework for development and application of hydrological models

Wagener, Thorsten; Boyle, Douglas P.; Lees, Matthew; Wheater, H. S.; Gupta, Hoshin; Sorooshian, Soroosh

doi:10.5194/hess-5-13-2001

Cited by 512 publications

(477 citation statements)

References 31 publications

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“…For example Wagener et al [106,107] show the value of different parts of a hydrograph in constraining uncertainty in predictions using their DYNIA (DYNamic Identifiability Analysis) approach, and Boyle et al [23] split the hydrograph into different sections with separate objective functions for each. The same argument applies to the use of spatial patterns.…”

Section: Calibration and Testing--a Role For Pattern Comparison Methodsmentioning

confidence: 99%

Advances in the use of observed spatial patterns of catchment hydrological response

Grayson

Blöschl

Western

et al. 2002

Advances in Water Resources

211

181

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Section: Calibration and Testing--a Role For Pattern Comparison Methodsmentioning

confidence: 99%

Advances in the use of observed spatial patterns of catchment hydrological response

Grayson

Blöschl

Western

et al. 2002

Advances in Water Resources

211

181

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“…We mention here the two main approaches that were developed to locate the most informative parts of the hydrograph for the calibration of model parameters. (a) Wagener et al (2001;2003) proposed a framework for the dynamic identifiability analysis (DYNIA) of models and a better use of the available streamflow information. The methodology aims at identifying the most informative parts of the hydrograph for the calibration of each model parameter.…”

Section: The Information Content Of Streamflow Time Seriesmentioning

confidence: 99%

Impact of limited streamflow data on the efficiency and the parameters of rainfall—runoff models

Perrin¹,

Oudin²,

Andréassian³

et al. 2007

Hydrological Sciences Journal

163

142

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Streamflow data are essential for the calibration of continuous rainfall-runoff (RR) models. The quantity and quality of streamflow data can significantly influence parameter calibration and thus model robustness. Most existing sensitivity analysis studies on the role of streamflow data have used continuous periods to calibrate model parameters, with a minimum of one year, though ideally much longer periods are generally advised. However, in practical model applications, streamflow data series available for model calibration may be rather short or non-continuous. This study aims at assessing the sensitivity of continuous RR models to the quantity of information used during model calibration when it is randomly sampled in the observed hydrograph, i.e. using non-continuous calibration periods. This sampling provides less auto-correlated streamflow information for model calibration than continuous records. Two daily RR models with four and six free parameters were tested on a sample of 12 basins in the USA to obtain more general conclusions. The results showed that, in general, 350 calibration days sampled out of a longer data set including dry and wet conditions are sufficient to obtain robust estimates of model parameters. The more parsimonious model requires fewer calibration data to obtain stable and robust parameter values. Stable parameter values prove more difficult to reach in the driest catchments.Key words rainfall-runoff modelling; calibration; sampling; sensitivity analysis; streamflow data Impact d'une limitation de données de débit sur l'efficacité et les paramètres de modèles pluie-débit Résumé Les données de débit sont essentielles pour caler les modèles pluie-débit continus. La quantité et la qualité des données peuvent influencer de manière significative le calage des paramètres et donc la robustesse du modèle. La plupart des analyses de sensibilité ayant abordé le rôle des données de débit ont utilisé des périodes continues pour le calage des paramètres des modèles, avec un minimum d'une année, bien qu'idéalement des chroniques beaucoup plus longues soient généralement conseillées. Cependant, dans des applications pratiques de modélisation, les séries de données disponibles pour le calage des modèles sont courtes ou non-continues. L'objectif de cette étude est d'évaluer la sensibilité des modèles pluie-débit continus à la quantité d'information utilisée pour leur calage lorsqu'elle est échantillonnée aléatoirement dans l'hydrogramme observé, c'est-à-dire en utilisant des périodes de calage non-continues. Cet échantillonnage fournit une information de débit moins corrélée qu'une série continue pour le calage. Nous avons utilisé ici deux modèles pluie-débit avec quatre et six paramètres, et nous les avons testés sur un échantillon de 12 bassins aux Etats-Unis, pour obtenir des conclusions plus générales. Les résultats montrent qu'en général, 350 jours de calage tirés dans une série plus longue comprenant des conditions sèches et humides sont suffisants pour obtenir des valeurs robustes des...

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“…[38] HYMOD is a five-parameter conceptual rainfallrunoff model that was introduced by Boyle [2000] and recently used by Wagener et al [2001], Vrugt et al…”

Section: Conceptual Rainfall-runoff Modelsmentioning

confidence: 99%

Calibration of hydrological models in the spectral domain: An opportunity for scarcely gauged basins?

Montanari

Toth

2007

Water Resources Research

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[1] This study considers the use of the maximum likelihood estimator proposed by Whittle for calibrating the parameters of hydrological models. Whittle's likelihood provides asymptotically consistent estimates for Gaussian and non-Gaussian data, even in the presence of long-range dependence. This method may represent a valuable opportunity in the context of ungauged or scarcely gauged catchments. In fact, the only information required for model parameterization is essentially the spectral density function of the actual process simulated by the model. When long series of calibration data are not available, the spectral density can be inferred by using old and sparse records, regionalization methods, or information on the correlation properties of the process itself. The proposed procedure is applied to the case studies of two Italian river basins, for which a lumped rainfall-runoff model has been calibrated by emulating scarcely gauged situations. It is shown that the Whittle estimator can be applied in such context with satisfactory results.Citation: Montanari, A., and E. Toth (2007), Calibration of hydrological models in the spectral domain: An opportunity for scarcely gauged basins?, Water Resour. Res., 43, W05434,

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A framework for development and application of hydrological models

Cited by 512 publications

References 31 publications

Advances in the use of observed spatial patterns of catchment hydrological response

Advances in the use of observed spatial patterns of catchment hydrological response

Impact of limited streamflow data on the efficiency and the parameters of rainfall—runoff models

Calibration of hydrological models in the spectral domain: An opportunity for scarcely gauged basins?

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