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

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

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1 reference

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Qingyun Duan

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Soroosh Sorooshian

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Soroosh Sorooshian

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1

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author name string

Vijai Kumar Gupta

series ordinal

3

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publication date

April 1993

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published in

Water Resources Research

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volume

29

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issue

4

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page(s)

1185-1194

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cites work

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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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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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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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Automatic calibration of conceptual rainfall-runoff models: The question of parameter observability and uniqueness

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The Analysis of Structural Identifiability: Theory and Application to Conceptual Rainfall-Runoff Models

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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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21 January 2018

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10.1029/92WR02617

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(Q58393600)

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

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