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Effective and efficient global optimization for conceptual rainfall-runoff models

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Effective and efficient global optimization for conceptual rainfall-runoff models (English)

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Qingyun Duan

1

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Soroosh Sorooshian

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Soroosh Sorooshian

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2

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Vijai Gupta

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3

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publication date

April 1992

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published in

Water Resources Research

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volume

28

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issue

4

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page(s)

1015-1031

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Uniqueness and observability of conceptual rainfall-runoff model parameters: The percolation process examined

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The Automatic Calibration of Conceptual Catchment Models Using Derivative-Based Optimization Algorithms

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Comparison of Newton-type and direct search algorithms for calibration of conceptual rainfall-runoff models

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River flow forecasting through conceptual models part I — A discussion of principles

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A Simplex Method for Function Minimization

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Response surface parameter sensitivity analysis methods for postcalibration studies

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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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10.1029/91WR02985

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(Q58393608)

Effective and efficient global optimization for conceptual rainfall-runoff models

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