Calibration of watershed models

Author(s)

    • Duan, Qingyun

Bibliographic Information

Calibration of watershed models

Qingyun Duan ... [et al.], editors

(Water science and application, 6)

American Geophysical Union, c2003

Available at  / 3 libraries

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"Published under the aegis of AGU Books Board"--T.p. verso

Includes bibliographical references

Description and Table of Contents

Description

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.

Table of Contents

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