What is really undermining hydrologic science today?

Hydrological Processes

Volumn 21, Issue 20, 2007, Pages 2819-2822

  Andréassian, Vazken ^a   Lerat, Julien ^a   Loumagne, Cécile ^a   Mathevet, Thibault ^b   Michel, Claude ^a   Oudin, Ludovic ^c   Perrin, Charles ^a  

^a CEMAGREF   (France)

^b EDF R AND D   (France)

^c SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35248884361     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.6854     Document Type: Note

References (15)

1. Andréassian V, Hall A, Chahinian N, Schaake J. 2006. Large sample basin experiments for hydrological model parameterization: Results of the Model Parameter Experiment - MOPEX, IAHS Publication 307, IAHS Press: Wallingford, 347 pp.
2. Berthier C-H. 2005. Quantification des incertitudes des débits calculés par un modèle pluie-débit empirique. Master Thesis, Université Paris-Sud 11, Orsay, 55.
3. Beven K. 2006. On undermining the science? Hydrological Processes 20: 3141-3146.
4. Boughton W. 2006. Calibrations of a daily rainfall-runoff model with poor quality data. Environmental Modelling and Software 21: 1114-1128.
5. Johnston J. 1972. Econometric Methods. McGraw-Hill: New York; 437.
6. Klemeš V. 1982. Statistical analysis of rainfall-runoff relationship. In Statistical Analysis of Rainfall and Runoff, Singh VP (ed). Water Resources Publications: Littleton; 139-154.
7. Kuczera G, Kavetski D, Franks S, Thyer M. 2006. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: characterising model error using storm-dependent parameter. Journal of Hydrology 331(1-2): 161-177.
8. Le Moine N, Andréassian V, Perrin C, Michel C. 2007. 'Outlier' catchments: what can we learn from them in terms of prediction uncertainty in rainfall-runoff modelling? In E. Boegh et al. (Editors), Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management, IAHS Publication 313, IAHS Press: Wallingford, 195-203.
9. Linsley RK. 1982. Rainfall-runoff models-an overview. In Proceedings of the international symposium on rainfall-runoff modelling, Singh VP (ed). Water Resources Publications: Littleton; 3-22.
10. Perrin C, Michel C, Andréassian V. 2003. Improvement of a parsimonious model for streamflow simulation. Journal of Hydrology 279: 275-289.
11. Refsgaard JC, Henriksen HJ. 2004. Modelling guidelines - terminology and guiding principles. Advances in Water Resources 27: 71-82.
12. Refsgaard JC, Henriksen HJ, Harrar WG, Scholten H, Kassahun A. 2005. Quality assurance in model based water management - review of existing practice and outline of new approaches. Environmental Modelling and Software 20(10): 1201-1215.
13. Scholten H, Kassahun A, Refsgaard JC, Kargas T, Gavardinas C, Beulens AJM. 2007. A methodology to support multidisciplinary model-based water management. Environmental Modelling and Software 22: 743-759.
14. Silberstein RP. 2005. Hydrological models are so good, do we still need data? Environmental Modelling and Software 21(9): 1340-1352.
15. Vrugt JA, Gupta H, Bouten W, Sorooshian S. 2003. A shuffled complex evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resources Research 39(8): 1201. DOI:10.1029/2002WR001642.