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Calibration of Watershed Models

Qingyun Duan (Editor), Hoshin V. Gupta (Editor), Soroosh Sorooshian (Editor), Alain N. Rousseau (Editor), Richard Turcotte (Editor)
ISBN: 978-0-87590-355-2
345 pages
January 2003, American Geophysical Union
Calibration of Watershed Models (087590355X) cover image


Published by the American Geophysical Union as part of the Water Science and Application Series, Volume 6.

During the past four decades, computer-based mathematical models of watershed hydrology have been widely used for a variety of applications including hydrologic forecasting, hydrologic design, and water resources management. These models are based on general mathematical descriptions of the watershed processes that transform natural forcing (e.g., rainfall over the landscape) into response (e.g., runoff in the rivers). The user of a watershed hydrology model must specify the model parameters before the model is able to properly simulate the watershed behavior.

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Table of Contents

Quingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau,and Richard Turcotte  v

John C. Schaake  1

Advances in Calibration Methodologies

Advances in Automatic Calibration of Watershed Models
Hoshin V. Gupta, Soroosh Sorooshian, Terri S. Hogue, and Douglas P. Boyle  9

Identification and Evaluation of Watershed Models
Thorsten Wageher, Howard S. Wheater, and Hoshin V. Gupta  29

Confronting Input Uncertainty in Environmental Modelling
Dmitri Kavetski, Stewart W. Franks, and George Kuczera  49

Multivariate Seasonal Period Model Rejection Within the Generalised Likelihood Uncertainty Estimation Procedure
Jim Freer, Keith Beven, and Norman Peters  69

Optimization Algorithms for Parameter Estimation

Global Optimization for Watershed Model Calibration
Qingyun Duan  89

A Shuffled Complex Evolution Metropolis Algorithm for Estimating the Posterior Distribution of Watershed Model Parameters
Jasper A. Vrugt, Hoshin V. Gupta, Willera Bouten, and Soroosh Sorooshian  105

Bayesian Recursive Estimation of Parameter and Output Uncertainty for Watershed Models
Feyzan Misirli, Hoshin V. Gupta, Soroosh Sorooshian and Michael Thiemann  113

Multiple Criteria Global Optimization for Watershed Model Calibration
Hoshin V. Gupta, Luis A. Bastidas, Jasper A. Vrugt, and Soroosh Sorooshian  125

Interactive Strategies for Parameter Estimation

Hydrologic Model Calibration in the National Weather Service
Michael B. Smith, Donald P. Laurine, Victor I. Koren, Seann M. Reed, and Ziya Zhang  133

A Process-Oriented, Multiple-Objective Calibration Strategy Accounting for Model Structure
Richard Turcotte, Alain N. Rousseau, Jean-Pierre Fortin, and Jean-Pierre Villeneuve  153

A Multi-Step Automatic Calibration Scheme for Watershed Models
Terri S. Hogue, Hoshin V. Gupta, Soroosh Soroochian, and Claire D. Thomkins   165

Hydrologic-Hydraulic Calibration and Testing in an Impacted Flood Plain' Forensic Hydrology
Hugo A. Loaiciga  175

Automatic Strategies for Parameter Estimation

Multicriteria Calibration of Hydrologic Models
Douglas P. Boyle, Hoshin V. Gupta, and Soroosh Sorooshian 185

Multi-Resolution Calibration Methodology for Hydrologic Models: Application to a Sub-Humid Catchment
Laura M. Parada, Jonathan P. Fram, and Xu Liang  197

Estimating Parameters and Structure of a Hydrochemical Model Using Multiple Criteria
Thomas Meixner, Hoshin V. Gupta, Luis A. Bastidas, and Roger C. Bales  213

Parameter, Structure, and Model Performance Evaluation for Land-Surface Schemes
Luis A. Bastidas, Hoshin V. Gupta, Kuo-lin Hsu, and Soroosh Sorooshian  229

Methods for Developing a Priori Parameter Estimates

Use of a Priori Parameter Estimates in the Derivation of Spatially Consistent Parameter Sets of Rainfall-Runoff Models
Victor Koren, Michael Smith, and Qingyun Duan  239

Use of a Priori Parameter-Estimation Methods to Constrain Calibration of Distributed-Parameter Models
George H. Leavesley, L. E. Hay, R. J. Viger, and S. L. Markstrom  255

Ordered Physics-BasedP arameter Adjustment of a Distributed Model
Baxter E. Vieux and Fekadu G. Moreda  267

Process Representation, Parameter Sensitivity, and Data Informativeness

Process Representation, Measurements, Data Quality, and Criteria for Parameter Estimation of Watershed Models
Stephen J. Burges  283

The Quest for an Improved Dialog Between Modeler and Experimentalist
Jan Seibert and Jeffrey J. McDonnell  301

Effects of Model Complexity and Structure, Parameter Interactions and Data on Watershed Modeling
Thian Yew Gan and Getu Fana Bifiu  317

Parameter Sensitivity in Calibration and Validation of an Annualized Agricultural
Non-Point Source Model
Barbara Baginska and William A. Milne-Home   331

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