(Q58393569)

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Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

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Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information (English)

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Soroosh Sorooshian

2

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author name string

Hoshin Vijai Gupta

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1

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Patrice Ogou Yapo

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3

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publication date

April 1998

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published in

Water Resources Research

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volume

34

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issue

4

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page(s)

751-763

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cites work

The future of distributed models: Model calibration and uncertainty prediction

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Effective and efficient global optimization for conceptual rainfall-runoff models

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Shuffled complex evolution approach for effective and efficient global minimization

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Optimal use of the SCE-UA global optimization method for calibrating watershed models

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The relationship between data and the precision of parameter estimates of hydrologic models

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Parameter estimation of rainfall-runoff models with heteroscedastic streamflow errors — The noninformative data case

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Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: Correlated and heteroscedastic error cases

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Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility

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Calibration of rainfall-runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model

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Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data

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A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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7 January 2021

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Eutrophication in peel inlet—II. Identification of critical uncertainties via generalized sensitivity analysis

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Errors and Parameter Estimation in Precipitation-Runoff Modeling: 1. Theory

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DOI

10.1029/97WR03495

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(Q58393569)

Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

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