Calibration of physically based models: Back to basics?

Journal of Hydroinformatics

Volumn 5, Issue 4, 2003, Pages 233-244

  Guinot, Vincent ^a   Gourbesville, Philippe ^b  

^a UNIV MONTPELLIER   (France)

^b UNIVERSITÉ CÔTE D'AZUR   (France)

Author keywords

Extreme events; Hydrological modelling; Model calibration; Ungauged catchments

Indexed keywords

EID: 33845864895     PISSN: 14647141     EISSN: 14651734     Source Type: Journal    
DOI: 10.2166/hydro.2003.0020     Document Type: Article

References (18)

1. Abbott, M. B. 1992 The theory of the hydrologic model, or: the struggle for the soul of hydrology. In Advances in Theoretical Hydrology. A Tribute to James Dooge. Elsevier, Amsterdam, pp. 237-254.
2. Abbott, M. B. 2002 On definitions. J. Hydroinformatics, (4)2, electronic version only.
3. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E. & Rasmussen, J. 1986a An introduction to the European Hydrological System-Systeme Hydrologique Europeen, ''SHE''. 1. History and philosophy of a physically based, distributed modelling system. J. Hydrol. 87, 45-59.
4. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E. & Rasmussen, J. 1986b An introduction to the European Hydrological System-Systeme Hydrologique Europeen, ''SHE''. 2. Structure of a physically based, distributed modelling system. J. Hydrol. 87, 61-77.
5. Beck, M. B., Ravetz, J. R., Mulkey, L. A. & Barbnwell, T. O. 1997 On the problem of model validation for predictive exposure assessment. Stoch Hydrol. Hydraul B11, 229-254.
6. CEMAGREF 1996 Etude de la crue du Var du 5 novembre 1994, Aix-en-Provence. 67 pp.
7. DHI 2000 MIKE SHE Water Movement: User Manual.
8. Ewen, J. & Parkin, G. 1996 Validation of catchment models for predicting land-use and climate change impacts. 1. Method. J. Hydrol. 175, 583-594.
9. Geoman (ed.) 1997 Visual DEM France. CD-ROM DEM. Editions Geoman, Quimper, France.
10. Julien, P. Y. & Molgen, G. E. 1990 Similarity and length scale for spatially varied overland flow. Wat. Resources Res. 26, 1819-1832.
11. Merz, B. & Plate, E. 1997 An analysis of the effects of spatial variability of soil and soil moisture on runoff. Wat. Resources Res. 33, 2909-2922.
12. Minns, A. W. 1998 Artificial neural networks as subsymbolic process descriptors. PhD thesis, Delft University of Technology and IHE Delft, 124 pp.
13. Minns, A. W. & Hall, M. J. 1996 Artificial neural networks as rainfall-runoff models. Hydrol. Sci. J. 41, 399-417.
14. Nielsen, S. A & Hansen, E. 1973 Numerical simulation of the rainfall-runoff process on a daily basis. Nordic Hydrol. 4, 171-190.
15. Ogden, F. L. & Julien, P. Y. 1993 Runoff sensitivity to temporal and spatial rainfall variability at runoff plane and small basin scales. Wat. Resources Res. 29, 2589-2597.
16. Parkin, G., O'Donnell, G., Ewen, J., Bathurst, J. C., O'Connell, P. E. & Lavabre, J. 1996 Validation of catchment models for predicting land-use and climate change impacts. 2. Method. J. Hydrol. 175, 595-613.
17. Refsgaard, J. C. 1996 Terminology, modelling protocol and classification of hydrological model codes. In Distributed Hydrological Modelling (ed. Abbott, M. B. & Refsgaard, J. C.). Kluwer, Dordrecht.
18. Schilling, W. 1996 Concepts of model building. NATO advanced study institute: hydroinformatics tools for planning. Design, Operation and Rehabilitation of Sewer Systems. Harrachow, Czech Republic.