(Q58393642)

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

scholarly article by Vijai Kumar Gupta & soroosh sorooshian published April 1985 in Water Resources Research

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

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1 reference

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Soroosh Sorooshian

2

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author name string

Vijai Kumar Gupta

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1

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publication date

April 1985

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published in

Water Resources Research

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volume

21

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issue

4

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page(s)

473-485

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cites work

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

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21 January 2018

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

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21 January 2018

A Simplex Method for Function Minimization

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21 January 2018

An Automatic Method for Finding the Greatest or Least Value of a Function

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21 January 2018

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

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21 January 2018

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

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21 January 2018

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

`` Direct Search'' Solution of Numerical and Statistical Problems

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7 January 2021

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

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7 January 2021

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10.1029/WR021I004P00473

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(Q58393642)

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

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