An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

Journal of Hydrology

Volumn 298, Issue 1-4, 2004, Pages 242-266

  Butts, Michael B ^a   Payne, Jeffrey T ^a   Kristensen, Michael ^b   Madsen, Henrik ^a  

^a DHI Water Environ Agern A   (Denmark)

^b Water Rsrc Div DHI Water E   (Denmark)

Author keywords

Automatic calibration; Distributed hydrological modelling; Flow forecasting; Hydrological simulation uncertainty; Model structure uncertainty

Indexed keywords

CATCHMENTS; COMPUTER SIMULATION; FLOOD CONTROL; STREAM FLOW; WEATHER FORECASTING;

OPERATIONAL FLOOD MANAGEMENT; STRUCTURAL UNCERTAINTY;

HYDROLOGY;

CALIBRATION; FLOOD FORECASTING; HYDROLOGICAL MODELING; PARAMETERIZATION; STREAMFLOW; UNCERTAINTY ANALYSIS;

EID: 4143079295     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2004.03.042     Document Type: Conference Paper

References (41)

1. Abbott M.B., Refsgaard J.C. Distributed Hydrological Modelling. 1996;Kluwer, Dordrecht
2. Abbot M.B., Bathurst J.C., Cunge J.A., O'Connell P.E., Rasmussen J. An introduction to the European Hydrological System - Systeme Hydrologique Europeen, SHE. 1 History and philosophy of a physically-based distributed modelling system. Journal of Hydrology. 87:1986;45-59
3. Abbot M.B., Bathurst J.C., Cunge J.A., O'Connell P.E., Rasmussen J. An introduction to the European Hydrological System - Systeme Hydrologique Europeen, SHE. 2 Structure of a physically-based distributed modelling system. Journal of Hydrology. 87:1986;61-77
4. Atkinson S., Woods R.A., Sivapalan M. Climate and landscape controls on water balance model complexity over changing time scales. Water Resources Research. 38:(12):2002;1314. doi: 10.1029/2002WR001487, pp. 50.1-50.17
5. Atkinson S., Sivapalan M., Woods R.A., Viney N.R. Dominant physical controls of hourly streamflow predictions and an examination of the role of spatial variability: Mahurangi catchment, New Zealand. Advances in Water Resources. 26:(3):2003;219-235
6. Beven K.J. Distributed Hydrological Modelling: Applications of the TOPMODEL Concept. 1997;Wiley, Chichester
7. Beven K.J. Rainfall-Runoff Modelling: The Primer. 2000;Wiley, England
8. Beven K.J., Freer J. Equifinality, data assimilation and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. Journal of Hydrology. 249:2001;11-29
9. Boyle D.P., Gupta H.V., Sorooshian S., Koren V., Zhang Z., Smith M. Toward improved streamflow forecasts: value of semidistributed modeling. Water Resources Research. 37:(11):2001;2749-2759
10. Butts M.B., Klinting A., van Kalken T., Cadman D., Fenn C., Høst-Madsen J. Design and development of an Internet-based flood forecasting system using real-time rainfall, radar, and river flow data. Falconer R.A., Blain W.R. Proceedings of River Basin Management 2001, Cardiff. 2001;139-148 WIT Press
11. Butts M.B., Hoest-Madsen J., Refsgaard J.C. Hydrologic Forecasting, Encyclopaedia of Physical Science and Technology. Third ed:2002
12. Calver A., Wood W.L. The Institute of Hydrology distributed model. Singh V.P. Computer Models of Watershed Hydrology. 1995;595-626 Water Resources Publications, Colorado, USA
13. Ciarapica L., Todini E. TOPKAPI: a model for the representation of the rainfall-runoff process at different scales. Hydrological Processes. 16:2002;207-229
14. Duan Q., Sorooshian S., Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research. 28:(4):1992;1015-1031
15. Duan Q., Sorooshian S., Gupta V.K. Optimal use of the SCE-UA global optimization method for calibrating watershed models. Journal of Hydrology. 158:1994;265-284
16. Farmer D., Sivapalan M., Jothityangkoon C. Climate, soil and vegetation controls upon the variability of water balance in temperate and semi-arid landscapes: downward approach to hydrological prediction. Water Resources Research. 39:(2):2003;1035. doi: 10.1029/2001WR000328
17. Flury M., Fluhler H., Jury W.A., Leuenberger J. Susceptibility of soils to preferential flow of water: a field study. Water Resources Research. 30:1994;1945-1954
18. Freeze R.A., Harlan R.L. Blueprint for a physically-based digitally-simulated hydrological response model. Journal of Hydrology. 9:1969;237-258
19. Georgakakos K.P., Seo D.-J., Gupta H., Schaake J., Butts M.B. Characterising streamflow simulation uncertainty through multimodel ensembles. Journal of Hydrology. 2004;. 298(1-4), 222-241
20. Havnø K., Madsen M.N., Dørge J. MIKE 11 - a generalized river modelling package. Singh V.P. Computer Models of Watershed Hydrology. 1995;733-782 Water Resources Publications, Colorado, USA
21. Hollenbeck K.J., Jensen K.H. Experimental evidence of randomness and non-uniqueness in unsaturated outflow experiments designed for hydraulic parameter estimation. Water Resources Research. 34:(4):1998;595-602
22. Hornberger G.M., Germann P.F., Beven K.J. Throughflow and solute transport in an isloated sloping soil block in a forested catchment. Journal of Hydrology. 124:1991;81-99
23. Koren V.I., Reed S., Smith M., Zhang Z., Seo D.-J. Hydrology Laboratory Research Modeling System (HL-RMS) of the National Weather Service. Journal of Hydrology. 2003;. in review
24. Lohmann D., Raschke E., Nijssen B., Lettenmaier D.P. Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrological Sciences Journal. 43:1998;131-141
25. Madsen H. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. Journal of Hydrology. 235:2000;276-288
26. Madsen H. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Advances in Water Resources. 26:2003;205-216
27. Mortensen A.P., Glass R.J., Hollenbeck K.J., Jensen K.H. Visualization of microscale phase displacement processes in retention and outflow experiments: Non-uniqueness of unsaturated flow properties. Water Resources Research. 37:(6):2001;1627-1640
28. Rajaram H., Georgakakos K.P. Recursive parameter estimation of hydrologic models. Water Resources Research. 25:(2):1989;281-294
29. Reed S., Koren V., Smith M.B., et al. Overall Distributed Model Intercomparison Project results. Journal of Hydrology. 2004;. 298(1-4), 60-34
30. Refsgaard J.C. Terminology, modelling protocol and classification of hydrological model codes. Abbott M.B., Refsgaard J.C. Distributed Hydrological Modelling. 1996;17-39 Kluwer, Dordrecht
31. Refsgaard J.C. Validation and intercomparison of different updating procedures for real-time forecasting. Nordic Hydrology. 28:1997;65-84
32. Refsgaard J.C., Butts M.B. Determination of grid scale parameters in catchment modelling by upscaling local scale parameters (Invited Paper). Fejen J., Wiyo K. Modelling of Transport Processes in Soils. International Workshop of EurAgEng's Field of Interest in Soil and Water, 24-26 November, 1999, Leuven, Belgium. 1999;650-665
33. Refsgaard J.C., Knudsen J. Operational validation and intercomparison of different types of hydrological models. Water Resources Research. 32:(7):1996;2189-2202
34. Refsgaard J.C., Storm B. MIKE SHE. Singh V.P. Computer Models of Watershed Hydrology. 1995;809-846 Water Resources Publications, Colorado, USA
35. Refsgaard J.C., Rosbjerg D., Markussen L.M. Application of the Kalman Filter to Real Time Operation and to Uncertainty Analyses in Hydrological Modelling. Scientific Procedures Applied to the Planning, Management and Design of Water Resources Systems (Proceedings of the Hamburg Symposium, August, 1983). IAHS publ-no. 147:1983;. pp. 273-282
36. Seo D.-J., Koren V., Cajina N.: Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting. Journal of Hydrometeorology. 4:2003;627-641
37. Singh V.P. Computer Models of Watershed Hydrology. 1995;1130 Water Resources Publications, Colorado, USA
38. Smith M.B., Seo D.-J., Koren V.I., Reed S., Zhang Z., Duan Q.-Y., Moreda F., Cong S. The Distributed Model Intercomparison Project (DMIP): motivation and experiment design. Journal of Hydrology 298(1-4), 4-26. 2004
39. Storm B., Refsgaard A. Distributed physically-based modelling of the entire land phase of the hydrological cycle. Abbott M.B., Refsgaard J.C. Distributed Hydrological Modelling. 1996;Kluwer, Dordrecht
40. World Meteorological Organisation (WMO). Fifth ed. Guide to Hydrological Practices: Data Acquisition, and Processing, Analysis, Forecasting and Other Applications. WMO Publ. No. 168:1994
41. World Meteorological Organisation (WMO). Report on the Operational Use of EPS to Forecast Severe Weather and Extreme Events. WMO Commission on Basic Systems, Meeting of Expert Team on Ensemble Prediction Systems, Tokyo, Japan 15-19 October 2001, CBS ET/EPS/Doc. 3(7) (9.X.2001), Geneva Switzerland. 2001;. pp. 7