Model identification for hydrological forecasting under uncertainty

Stochastic Environmental Research and Risk Assessment

Volumn 19, Issue 6, 2005, Pages 378-387

  Wagener, Thorsten ^a   Gupta, Hoshin V ^b  

^a The Pennsylvania State University   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

Data assimilation; Flood forecasting; Hydrological models; Model identification; Model realism; Predictions in ungauged basins; Uncertainty

Indexed keywords

BASIN MANAGEMENT; DATA ASSIMILATION; FLOOD FORECASTING; HYDROLOGICAL MODELING; UNCERTAINTY ANALYSIS;

EID: 29144451373     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-005-0006-5     Document Type: Article

References (78)

1. Beck MB (1987) Water quality modelling: a review of the analysis of uncertainty. Water Resour Res 23(8):1393-1442
2. Beven KJ (1993) Prophecy, reality and uncertainty in distributed hydrologic modelling. Adv Water Resour 16:41-51
3. Beven KJ (2001) Rainfall-runoff modelling - the primer. Wiley, Chichester
4. Beven KJ (2005) A manifesto for the equifmality thesis. J Hydrol (in press)
5. Beven KJ, Binley AM (1992) The future of distributed models: model calibration and uncertainty in prediction. Hydrol Process 6:279-298
6. Beven KJ, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J Hydrol 249(1-4): 11-29
7. Binley AM, Beven KJ (1991) Physically-based modelling of catchment hydrology: a likelihood approach to reducing predictive uncertainty. In: Farmer DR (eds) Computer modelling in the environmental sciences. Clarendon Press, Oxford, pp 75-88
8. Boyle DP, Gupta HV, Sorooshian S (2000) Toward improved calibration of hydrological models: combining the strengths of manual and automatic methods. Water Resour Res 36(12):3663-3674
9. Burnash RJC (1995) The NWS river forecast system - catchment modelling. In: Singh VP (eds) Computer models of watershed hydrology. Water Resources Publications, Colorado, pp 311-366
10. Butts MB, Payne JT, Kristensen M, Madsen M (2004) An evaluation of the impact of model structure and complexity on hydrological modelling uncertainty for streamflow prediction. Hydrol 298:242-266
11. Carrera J, Neuman SP (1986) Estimation of aquifer parameters under transient and steady state conditions: 1. Maximum likelihood method incorporating prior information. Water Resour Res 22:199-210
12. Dawdy DR, O'Donnell T (1965) Mathematical models of catchment behaviour. J Hydraul Div. ASCE 91(HY4):123-137
13. Duan Q, Gupta VK, Sorooshian S (1992) Effective and efficient global optimisation for conceptual rainfall-runoff models. Water Resour Res 28:1015-1031
14. Freer J, Beven KJ, Ambroise B (1996) Bayesian estimation of uncertainty in runoff prediction and the value of data: an example of the GLUE approach. Water Resour Res 32(7):2161-2173
15. Freer J, McMillan H, McDonnell JJ, Beven KJ (2004) Constraining Dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures. J Hydrol 291:254-277
16. Fukomori I, Raghunath R, Fy L-L, Chao Y (1999) Assimilation of TOPEX/Poseidon altimeter data in a global ocean circulation model: how good are the results? J Geophys Res 104(25):647-665
17. Gooseff MN, Bencala KE, Scott DT, Runkel R, McKnight DM (2005) Sensitivity analysis of conservative and reactive stream transient storage models applied to field data from multiple-reach experiments. Adv Water Resour 28:479-492
18. Grayson R, Blöschl G (eds) (2001) Spatial patterns in catchment hydrology. Cambridge University Press, Cambridge
19. Gupta HV, Sorooshian S, Yapo PO (1998) Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resour Res 34:751-763
20. Gupta HV, Beven KJ, Wagener T (2005) Model calibration and uncertainty estimation. In; Andersen, MG (ed) Encyclopedia of hydrologic sciences. Wiley, Chichester (in press)
21. Hall J, Anderson M (2002) Handling uncertainty in extreme or unrepeatable hydrological processes - the need for an alternative paradigm. Hydrol Process 16:1867-1870
22. Hoeting JA, Madigan D, Raftery AE, Volinskiy CT (1999) Bayesian model averaging: a tutorial. Stat Sci 14(4):382-417
23. Hooper RP, Stone A, Christophersen N, De Grosbois E, Seip HM (1988) Assessing the Birkenes model of stream acidification using a multisignal calibration methodology. Water Resour Res 24(8): 1308-1316
24. Hornberger GM, Spear RC (1981) An approach to the preliminary analysis of environmental systems. J Environ Manage 12:7-18
25. Ibbitt RP (1970) Systematic parameter fitting for conceptual models of catchment hydrology. Unpublished Ph.D. Thesis, Imperial College of Science, Technology and Medicine, London
26. Ibbitt RP, O'Donnell T (1971) Fitting methods for conceptual catchment models. J Hydraul Div ASCE 97:1331-1342
27. Jakeman AJ, Hornberger GM (1993) How much complexity is warranted in a rainfall-runoff model?. Water Resour Res 29:2637-2649
28. Johnston PR, Pilgrim DH (1976) Parameter optimisation for watershed models. Water Resour Res 12(3):477-486
29. Karl TR, Knight RW, Plummer N (1995) Trends in high-frequency variability in the twentieth-century. Nature 377:217-220
30. Kavetski D, Franks SW, Kuczera G (2003) Confronting input uncertainty in environmental modelling. In: Duan Q, Gupta HV, Sorooshian S, Rousseau AN, Turcotte R (eds) Calibration of watershed models. Water science and application series 6. American Geophysical Union, Washington, pp 49-68
31. Kennedy MC, O'Hagan A (2001) Bayesian calibration of computer models. J R Stat Soc 63(3):425-464
32. Kitanidis PK, Bras RL (1980a) Real-time forecasting with a conceptual hydrologic model - Part I: analysis of uncertainty. Water Resour Res 16(6):1025-1033
33. Kitanidis PK, Bras RL (1980b) Real-time forecasting with a conceptual hydrologic model - Part II: applications and results. Water Resour Res 16(6): 1034-1044
34. Kundzewicz ZW, Kaczmarek AW (2000) Coping with hydrological extremes. Water Intern 25(1):66-75
35. Kundzewicz ZW (2002) Non-structural flood protection and sustainability. Water Intern 27:3-13
36. Letcher RA, Jakeman AJ, Crok BFW (2004) Model development for integrated assessment of water allocation options. Water Resour Res 40:W05502. DOI 10.1029/2003WR002933
37. Madsen H (2000) Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. J Hydrol 235:276-288
38. Madsen H (2003) Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv Water Resour 26:205-216
39. Madsen H, Rosbjerg D, Damgård J, Hansen FS (2003) Data assimilation in the MIKE 11 flood forecasting system using Kalman filtering. In: Bloeschl G, Franks S, Kumagai M, Musiake K, Rosbjerg D (eds) Water resources systems - hydrological risk, management and development. IAHS Publ. no. 281, pp 75-81
40. McDonnell JJ (2003) Where does water go when it rains? Moving beyond the the variable source area concept of rainfall-runoff response. Hydrol Process 17:1869-1875
41. Melching CS (1995) Reliability estimation. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Colorado, pp 69-118
42. Misirli F (2003) Improving efficiency and effectiveness of Bayesian recursive parameter estimation for hydrologic models. Ph.D. Dissertation, Department of Hydrology and Water Resources, University of Arizona, USA
43. Neutnan SP (2002) Accounting for conceptual model uncertainty via maximum likelihood Bayesian model averaging. Acta Universitatis Carolinae Geologica 46(2/3):529-534
44. Perrin C, Michel C, Andreassian V (2000) Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. J Hydrol 242:275-301
45. Reichert P, Omlin M (1999) On the usefulness of overparameterized ecological models. Ecol. Model 95:289-299
46. Reichle RH, McLaughlin DB, Entekhabi D (2002) Hydrologic data assimilation with the ensemble kalman filter. Monthly Weather Rev 130(1):103-114. DOI 10.1175/1520-0493(2002)
47. Romanowicz R, Beven KJ, Tawn JA (1994) Evaluation of predictive uncertainty in nonlinear hydraulic models using a Bayesian approach. In: Barnett V, Turkman KF (eds). Statistics for the environment 2, water related issues. Wiley, New York
48. Seibert J, McDonnell JJ (2002) On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration. Water Resour Res 38(11):1241. DOI 10.1029/2001WR000978
49. Singh VP, Frevert DK (eds) (2002a) Mathematical models of large watershed hydrology. Water Resources Publications, Colorado
50. Singh VP, Frevert DK (eds) (2002b) Mathematical models of small watershed hydrology. Water Resources Publications, Colorado
51. Sivapalan M, Takeuchi K, Franks SW, Gupta VK, Karambiri H, Lakshmi V, Liang X, McDonnell JJ, Mendiondo EM, O'Connell PE, Oki T, Pomeroy JW, Schertzer D, Uhlenbrook S, Zehe E (2003). IAHS decade on predictions in ungauged basins (PUB), 2003-2012:
52. shaping an exciting future for the hydrological sciences. Hydrol Sci J 48(6):857-880
53. Sørensen JVT, Madsen H, Madsen H (2004) Efficient sequential techniques for the assimilation of tide gauge data in three dimensional modeling of the North Sea and Baltic Sea system. J Geophys Res 109. DOI 10.1029/2003JC002144
54. Sorooshian S, Duan Q, Gupta VK (1993) Calibration of rainfall-runoff models: application of global optimisation to the Sacramento soil moisture accounting model. Water Resour Res 29:1185-1194
55. Spear RC (1995) Large simulation models: calibration, uniqueness and goodness of fit. In: MODSIM'95: international congress on modelling and simulation, Modelling and Simulation Society of Australia, Newcastle
56. Thiemann M, Trosset MW, Gupta HV, Sorooshian S (2001) Recursive Bayesian inference for hydrologic models. Water Resour Res 37(10):2521-2535
57. Tsonis A A (1996) Widespread increases in low-frequency variability of precipitation over the last century. Nature 382:700-702
58. Tsonis AA (2004) Isglobal warming injecting randomness into the climate system? EOS Trans Am Geophys Union 85(38):361-364
59. Van Strafen G, Keesman J (1991) Uncertainty propagation and speculation in projective forecasts of environmental change: a lake eutrophication example. J. Forecasting 10:163-190
60. Vrugt JA, Bouten W, Gupta HV, Sorooshian S (2002) Toward improved identifiability of hydrologic model parameters: the information content of experimental data. Water Resour Res 38(12), art. no. 1312
61. Vrugt JA, Gupta HV, Bastidas LA, Bouten W, Sorooshian S (2003a) Effective and efficient algorithm for multi-objective optimization of hydrologic models. Water Resour Res 39(8): 1214. DO1 10.1029/2002WR001746
62. Vrugt JA, Gupta HV, Bouten W, Sorooshian S (2003b) A shuffled complex evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour Res 39(8): 1201. DOI 10.1029/2002WR001642
63. Vrugt JA, Diks CGH, Gupta HV, Bouten W, Verstraten JM (2005) Improved treatment of uncertainty in hydrologic modelling: Combining the strengths of global optimization and data assimilation. Water Resour Res (41). W01017 DOI 10.1029/2004WR003059
64. Wagener T (2003). Evaluation of catchment models. Hydrol Process 17:3375-3378
65. Wagener T, Boyle DP, Lees MJ, Wheater HS, Gupta HV, Sorooshian S (2001) A framework for development and application of hydrological models. Hydrol Earth Syst Sci 5(1): 13-26
66. Wagener T, McIntyre N, Lees MJ, Wheater HS, Gupta HV (2003a) Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis. Hydrol Process 17(2):455-476
67. Wagener T, Wheater HS, Gupta HV (2003b) Identification and evaluation of watershed models. In: Duan Q, Sorooshian S, Gupta HV, Rousseau A, Turcotte R (eds) Advances in calibration of watershed models. AGU Monograph. American Geophysical Union, Washington, pp 29-47
68. Wheater HS, Jakeman AJ, Beven KJ (1993) Progress and directions in rainfall-runoff modelling. In: Jakeman AJ, Beck MB, McAleer MJ (eds) Modelling change in environmental systems. Wiley, Chichester, pp 101-132
69. Willmott C (1982) Some comments on the evaluation of model performance. Bull Am Meterol Soc 63:1309-1313
70. Yang J, Haan C (1991) Multiobjective parameter estimation for hydrologic models - weighting of errors. Trans ASAE 34(1):135-141
71. Young PC (1983) The validity and credibility of models for badly-defined systems. In: Beck MB, Van Straten G (eds). Uncertainty and forecasting of water quality. Springer, Berlin Heidelberg New York, pp 69-98
72. Young PC (1992) Parallel processes in hydrology and water quality: a unified time-series approach. J Inst Water Eng Sci 6(5):598-612
73. Young PC (1998) Data-based mechanistic modelling of environmental, ecological, economic and engineering systems. Env Mod Software 13(2): 105-122
74. Young PC (2001) Data-based mechanistic modeling and validation of rainfall-flow processes. In: Anderson MG, Bates PG (eds) Model validation. Wiley, Chichester, pp 117-161
75. Young PC (2002) Advances in real-time flood forecasting. Philos Trans R Soc Phys Eng Sci 360:1433-1450
76. Young PC, Beven KJ (1994) Data-based mechanistic (DBM) modelling and the rainfall-flow nonlinearity. Environmetrics 5:335-363
77. Young PC, Parkinson SD, Lees MJ (1996) Simplicity out of complexity in environmental systems: Occam's razor revisited. J Appl Stat 23(2/3): 165-210
78. Young PC, Jakeman AJ, Post D (1997) Recent advances in the data-based modelling and analysis of hydrological systems. Water Sci Technol 36:99-116