Calibration of watershed models
Author(s)
Bibliographic Information
Calibration of watershed models
（Water science and application, 6）
American Geophysical Union, c2003
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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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