Large Sample Basin Experiments
for Hydrological Model Parameterization:
Results of the Model Parameter Experiment – MOPEX

Edited by Vazken Andréassian, Alan Hall, Nanée Chahinian & John Schaake


This volume contains 25 papers, many of which follow from presentations made at the last two MOPEX workshops: July 2004 at ENGREF, Paris, France, and April 2005 at the IAHS Assembly in Foz do Iguaçu, Brazil. An objective is to show how valuable it is to work on large data sets in hydrological modelling.

  

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  • The first section provides an introduction to the goals of the MOPEX project, and presents the databases that were used by the workshop participants. Much of the data is published on the DVD accompanying this volume. ·
  • The second section groups four review papers that were not presented during the MOPEX workshops, but solicited especially for this volume, in order to provide alternative views on the use of large sample basin experiments in hydrology. ·
  • The third and the fourth sections present model parameterization experiments based on samples of a large number of basins: in the third, the focus is on the databases that were gathered specifically for the MOPEX program, while the fourth presents regionalization and parameterization studies based on other large hydrometeorological databases. ·
  • The fifth section presents a compilation of the most recent results of the project, and discusses its perspectives.

The abstracts of the papers in this volume can be seen at: www.iahs.info with information about other IAHS publications and IAHS activities.

IAHS Publication 307 (2006) I978-1-901502-73-2 348+ iv pp, plus a DVD with data, price £70.00


Contents

Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets?
Vazken Andréassian, Alan Hall, Nanée Chahinian & John Schaake, 1-5
 

1 Introduction

The US MOPEX Data Set
John Schaake, Shuzheng Cong & Qingyun Duan, 9-28
 
The MOPEX 2004 French database: main hydrological and morphological characteristics
N. Chahinian, T. Mathevet, F. Habets & V. Andréassian, 29-40
 
Catalogue of the models used in MOPEX 2004/2005
V. Andreassian, S. Bergström, N. Chahinian, Q. Duan, Y. M. Gusev, I. Littlewood, T. Mathevet, C. Michel, A. Montanari, G. Moretti, R. Moussa, O. N. Nasonova, K. O’Connor, E. Paquet, C. Perrin, A. Rousseau, J. Schaake, T. Wagener & Z. Xie, 41-94
 

2 Review papers

Experience from applications of the HBV hydrological model from the perspective of prediction in ungauged basins
Sten Bergström, 97-107
 
Has basin-scale modelling advanced beyond empiricism?
C. Michel, C. Perrin, V. Andréassian, L. Oudin & T. Mathevet, 108-116
 
Regionalization methods in rainfall–runoff modelling using large catchment samples
Ralf Merz, Günter Blöschl & Juraj Parajka, 117-125
 
A review of Australian model parameterization studies using large basin samples
Walter Boughton, 126-132
 

3 Model parameterization experiments using the MOPEX databases

Distributed hydrological modelling with lumped inputs
Vincent Fortin, Nanée Chahinian, Alberto Montanari, Greta Moretti & Roger Moussa, 135-148
 
Flow simulation in an ungauged basin: an alternative approach to parameterization of a conceptual model using regional data
Monomoy Goswami & Kieran Michael O’Connor, 149-158
 
Modelling ungauged basins with the Sacramento model
Terri Hogue, Koray Yilmaz, Thorsten Wagener & Hoshin Gupta, 159-168
 
A parameter estimation scheme of the land surface model VIC using the MOPEX databases
Zhenghui Xie & Fei Yuan, 169-179
 
Application of global 1-degree data sets to simulate runoff from MOPEX experimental river basins
Olga N. Nasonova & Yeugeniy M. Gusev, 180-187
 
Simulating runoff from MOPEX experimental river basins using the SWAP land surface model and different parameter estimation techniques
Yeugeniy M. Gusev & Olga N. Nasonova, 188-195
 
Performance comparison of a complex physics-based land surface model and a conceptual, lumped-parameter hydrological model at the basin-scale
Thian Yew Gan, Yeugeniy Gusev, Stephen J. Burges & Olga Nasonova, 196-208
 

4 Regionalization and parameterization studies based on large basin samples

A bounded version of the Nash-Sutcliffe criterion for better model assessment on large sets of basins
Thibault Mathevet, Claude Michel, Vazken Andréassian & Charles Perrin, 211-219
 
Regionalization of dynamic watershed response behaviour
Maitreya Yadav, Thorsten Wagener & Hoshin Gupta, 220-229
 
Ungauged catchments: how to make the most of a few streamflow measurements?
Claudia Rojas-Serna, Claude Michel, Charles Perrin & Vazken Andréassian, 230-236
 
Characterization of flow regimes for three French rivers using a 6-parameter continuous simulation rainfall–streamflow model: the importance of the parameter selection procedure
Ian G. Littlewood, 237-245
 
How informative is land-cover for the regionalization of the GR4J rainfall–runoff model? Lessons of a downward approach
Ludovic Oudin, Vazken Andréassian, Cécile Loumagne & Claude Michel, 246-255
 
Simulation of streamflow by a regionalized lumped rainfall–runoff model over Luxembourg
B. Hingray, F. Guex, D. Guex, S. Pugin, A. Musy, L. Pfister, A. Idrissi, J. F. Iffly & L. Hoffmann, 256-263
 
Regionalization of a monthly rainfall–runoff model for the southern half of France based on a sample of 880 gauged catchments
Nathalie Folton & Jacques Lavabre, 264-277
 
Modélisation hydrologique et régionalisation en Afrique de l’Ouest et centrale / Hydrological modelling and regionalization in West and Central Africa
J. E. Paturel, E. Servat, A. Dezetter, J. F. Boyer, C. Laroche, L. Mounirou, H. Lubes-Niel & G. Mahé, 278-287
 
Predicting river flow statistics at ungauged locations—a hydrostochastic approach
Eric Sauquet, Lars Gottschalk, Irina Krasovskaia & Etienne Leblois, 288-299
 
Accounting for spatial variability: a way to improve lumped modelling approaches? An assessment on 3300 chimera catchments
M. Bourqui, C. Loumagne, N. Chahinian & M. Plantier, 300-310
 

5 Perspectives

Compilation of the MOPEX 2004 results
N. Chahinian, V. Andréassian, Q. Duan, V. Fortin, H. Gupta, T. Hogue, T. Mathevet, A. Montanari, G. Moretti, R. Moussa, C. Perrin, J. Schaake, T. Wagener & Z. Xie, 313-338
 
The Model Parameter Estimation Experiment (MOPEX): Its structure, connection to other international initiatives and future directions
Thorsten Wagener, Terri Hogue, John Schaake, Qingyun Duan, Hoshin Gupta, Vazken Andréassian, Alan Hall & George Leavesley, 339-346
 
Key word index, 347