Chapter 12 Uncertainty and the detection of structural change in models of environmental systems

Developments in Environmental Modelling

Volumn 22, Issue C, 2002, Pages 227-250

  Beven, K J ^a  

^a NONE

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EID: 77957026442     PISSN: 01678892     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0167-8892(02)80013-6     Document Type: Article

References (67)

1. Aronica G., Hankin B.G., and Beven K.J. Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data. Adv. Water Resour. 22 4 (1998) 349-365
2. Beck M.B., Beck M.B., and Halfon E. Water quality modelling: a review of the analysis of uncertainty. Water Resour. Res. 23 (1987) 1393-1442
3. Beck M.B., Beck M.B., and Halfon E. Water quality modelling: a review of the analysis of uncertainty. Uncertainty, identifiability and the propagation of prediction errors: a case study of lake Ontario. J. Forecast. 10 (1991) 135-161
4. Beven K.J. Towards a new paradigm in hydrology. Water for the Future: Hydrology in Perspective. IASH Publn. No. 164 (1987) 393-403
5. Beven K.J. Interflow. In: Morel-Seytoux H.J. (Ed). Unsaturated Flow in Hydrologic Modelling. Proc. NATO ARW, Arles, Reidel, Dordrecht (1989) 191-219
6. Beven K.J. Changing ideas in hydrology: the case of physically-based models. J. Hydrol. 105 (1989) 157-172
7. Beven K.J. Prophecy, reality and uncertainty in distributed hydrological modelling. Adv. Water Resour. 16 (1993) 41-51
8. Beven K.J. Linking parameters across scales: subgrid parameterisations and scale dependent hydrological models. Hydrol. Process. 9 (1995) 507-525
9. Beven K.J. Equifinality and uncertainty in geomorphological modelling. In: Rhoades B.L., and Thorn C.E. (Eds). The Scientific Nature of Geomorphology (1996), Wiley, Chichester 289-313
10. Beven K.J. A discussion of distributed modelling, Chapter 13A. In: Refsgaard J.-C., and Abbott M.B. (Eds). Distributed Hydrological Modelling (1996), Kluwer, Dordrecht 255-278
11. In: Beven K.J. (Ed). Distributed Modelling in Hydrology: Applications of TOPMODEL (1997), Wiley, Chichester
12. Beven K.J. Rainfall-runoff Modelling: the Primer (2000), Wiley, Chichester
13. Beven K.J. How far can we go in distributed hydrological modelling?. Hydrol. Earth System Sci. 5 (2001) 1-12
14. Beven K.J., and Kirkby M.J. A physically based variable contributing area model of basin hydrology. Hydrol. Sci. Bull. 24 1 (1979) 43-69
15. Beven K.J., and Binley A.M. The future of distributed models: model calibration and uncertainty prediction. Hydrol. Process. 6 (1992) 279-298
16. Beven K.J., and Quinn P.F. Similarity and scale effects in the water balance of heterogeneous areas. Proc. AGMET Conference on The Balance of Water - Present and Future. Dublin (1994)
17. Beven K.J., Lamb R., Quinn P.F., Romanowicz R., and Freer J. TOPMODEL. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resource Publications, Highlands Ranch, CO 627-668
18. Beven K.J., Freer J., Hankin B., and Schulz K. The use of generalized likelihood measures for uncertainty estimation in high order models of environmental systems. In: Fitzgerald W.J., Smith R.L., Walden A.T., and Young P.C. (Eds). Nonlinear and Nonstationary Signal Processing (2001), Cambridge University Press, Cambridge
19. Binley A.M., Beven K.J., Calver A., and Watts L. Changing responses in hydrology: assessing the uncertainty in physically-based predictions. Wat. Resour. Res. 27 (1991) 1253-1262
20. Binley A.M., and Beven K.J. Physically-based modelling of catchment hydrology: a likelihood approach to reducing predictive uncertainty. In: Farmer D.G., and Rycroft M.J. (Eds). Computer Modelling in the Environmental Sciences. IMA Conference Series (1991), Clarendon Press, Oxford 75-88
21. Bhaskar R. Reclaiming Reality (1989), Verso, London
22. Cameron D., Beven K.J., Tawn J., Blazkova S., and Naden P. Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty). J Hydrology 219 (1999) 169-187
23. Dilks D.W., Canale R.P., and Maier P.G. Development of Bayesian Monte Carlo techniques for water quality model uncertainty. Ecol. Modell. 62 (1992) 149-162
24. Duan Q., Sorooshian S., and Gupta V. Effective and efficient global optimisation for conceptual rainfall-runoff models. Water Resour. Res. 28 (1992) 1015-1031
25. Faurès J.M., Goodrich D.C., Woolhiser D.A., and Sorooshian S. Impact of small-scale spatial rainfall variability on runoff modelling. J. Hydrol. 173 (1995) 309-326
26. Feyerabend P.K. Against Method: Outline of an Anarchistic Theory of Knowledge (1975), New Left Books, London
27. Fisher J., and Beven K.J. Application of TOPMODEL and Bayesian uncertainty estimation framework to Rimbaud catchment to investigate the consequences of desertification. Final Report, EU Project, Ecosystem Studies: Modelling the Effects of Desertification in Mediterranean Regions (1994), Lancaster University
28. Franks S.W., Beven K.J., Quinn P.F., and Wright I.R. On the sensitivity of soil-vegetation atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration. Agric. For. Met. 86 (1997) 63-75
29. Franks S.W., and Beven K.J. Bayesian estimation of uncertainty in land surface-atmosphere flux predictions. J. Geophys. Res. 102 D20 (1997) 23991-23999
30. Franks S.W., Gineste Ph., Beven K.J., and Merot Ph. On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process. Water Resour. Res. 34 (1998) 787-797
31. Freer J., Beven K.J., and Ambroise B. Bayesian estimation of uncertainty in runoff production and the value of data: an application of the GLUE approach. Wat. Resour. Res. 32 7 (1996) 2161-2173
32. Garen D.C., and Burges S.J. Approximate error bounds for simulated hydrographs. J. Hydraul. Div. ASCE 107 HY11 (1981) 1519-1534
33. Haines-Young R.H., and Petch J.R. Multiple working hypotheses: equifinality and the study of landforms. Trans. Instn. Br. Geogr. 8 (1983) 458-466
34. Hankin B., and Beven K.J. Modelling dispersion in complex open channel flows: 1. Equifinality of model structure. Stochastic Hydrol. Hydraul. 12 6 (1998) 377-396
35. 1. Hofmann J.R., and Hofmann P.A. Darcy's law and structural explanation in hydrology. In: Hull D., Forbes M., and Okruhlik K. (Eds). PSA 92 (1992), Philosophy of Science Association, East Lancing, Mich. 23-35
36. Hornberger G.M., Beven K.J., Cosby B.J., and Sappington D.E. Shenandoah watershed study: calibration of a topography-based, variable contributing area hydrological model to a small forested catchment. Water Resour. Res. 21 (1985) 1841-1850
37. Houghton J.T., Meira Filho L.G., Callander B.A., Harris N., Kattenberg A., and Maskell K. Climate Change 1995, The Science of Climate Change (1995), Cambridge University Press, Cambridge
38. Howson C., and Urbach P. Scientific Reasoning: The Bayesian Approach (1989), Open Court Press, La Salle, Illinois
39. Klepper O., Scholten H., and van der Kamer J.P.G. Prediction uncertainty in an ecological model of the Oosterschelde Estuary. J. Forecast. 10 (1991) 191-209
40. Kuczera G. On the validity of first order prediction limits for conceptual hydrologic models. J. Hydrol. 103 (1988) 229-247
41. Kustas W.P., and Humes K.S. Sensible heat flux from remotely-sensed data at different resolutions. In: Stewart J.B., Engman E.T., Feddes R.A., and Kerr Y. (Eds). Scaling up in Hydrology Using Remote Sensing (1996), Wiley, Chichester 127-145
42. Lamb R., Beven K.J., and Myrabo S. Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model. Adv. Water Resour. 22 4 (1998) 305-317
43. Lee P.M. Bayesian Statistics: an Introduction (1989), Edward Arnold, London
44. Melching C.S. An improved first-order reliability approach for assessing uncertainties in hydrologic modelling. J. Hydrol. 132 (1992) 157-177
45. Melching C.S. Reliability estimation. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resource Publications, Highlands Ranch, CO 69-118
46. Morton A. Mathematical models: questions of trustworthiness. Br. J. Phil Sci. 44 (1993) 659-674
47. Myneni R.B., and Williams D.L. On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49 (1994) 200-211
48. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models, 1. A discussion of principles. J. Hydrol. 10 (1970) 282-290
49. Obled Ch., Wendling J., and Beven K.J. The role of spatially variable rainfalls in modelling catchment response: an evaluation using observed data. J. Hydrol. 159 (1994) 305-333
50. O'Neill R.V., Gardner R.H., and Carney J.H. Parameter constraints in a stream ecosystem model: incorporation of a priori information in Monte Carlo error analysis. Ecol. Modell. 16 (1982) 51-65
51. Oreskes N., Schrader-Frechette K., and Belitz K. Verification, validation and confirmation of numerical models in the earth sciences. Science 263 (1994) 464-641
52. Patwardhan A., and Small M.J. Bayesian methods for model uncertainty analysis with application to future sea level rise. Risk Analysis 12 (1992) 513-523
53. Rogers C.C.M., Beven K.J., Morris E.M., and Anderson M.G. Sensitivity analysis, calibration and predictive uncertainty of the Institute of Hydrology Distributed Model. J. Hydrol. 81 (1985) 179-191
54. Romanowicz R., and Beven K.J. Dynamic real-time prediction of flood inundation probabilities. Hydrol. Sci. J. 43 2 (1998) 181-196
55. Romanowicz R., Beven K.J., and Tawn J. Evaluation of predictive uncertainty in non-linear hydrological models using a Bayesian approach. In: Barnett V., and Turkman K.F. (Eds). Statistics for the Environment. II. Water Related Issues (1994), Wiley, Chichester 297-317
56. Romanowicz R., Beven K.J., and Tawn J. Bayesian calibration of flood inundation models. In: Walling D.E., and Bates P.D. (Eds). Floodplain Processes (1996), Wiley, Chichester 333-360
57. Rose K.A., Smith E.P., Gardner R.H., Brenkert A.L., and Bartell S.M. Parameter sensitivities, Monte Carlo filtering and model forecasting under uncertainty. J. Forecast. 10 (1991) 117-133
58. 1989. Schrader-Frechette K.S. Idealised laws, antirealism and applied science: a case in hydrogeology. Synthese 81 (1989) 329-352
59. Spear R.C., and Hornberger G.M. Eutrophication in Peel Inlet. II. Identification of critical uncertainties via Generalised Sensitivity Analysis. Water Res. 14 (1980) 43-49
60. Spear R.C., Grieb T.M., and Shang N. Parameter uncertainty and interaction in complex environmental models. Water Resour. Res. 30 11 (1994) 3159-3170
61. 235 pp. Van Fraasen B.C. The Scientific Image (1980), Clarendon, Oxford
62. Van der Sluijs J., van Eijndhoven J., Shackley S., and Wynne B. Anchoring devices in science for policy: the case of consensus around climate sensitivity. Social Stud. Sci. 28 2 (1998) 291-323
63. Wolock D.M., and Hornberger G.M. Hydrological effects of change in levels of atmospheric carbon dioxide. J. Forecast. 10 (1991) 105-116
64. Young P.C. Recursive Estimation and Time Series Analysis (1994), Springer-Verlag, Berlin
65. Young P.C., and Ng C.N. Variance intervention. J Forecasting 8 (1989) 399-416
66. Zak S.K., and Beven K.J. Equifinality, sensitivity and uncertainty in the estimation of critical loads. Sci. Total Environ. 236 (1999) 191-214
67. Zak S.K., Beven K.J., and Reynolds B. Uncertainty in the estimation of critical loads: a practical methodology. Soil, Water, Air Pollut. 98 (1997) 297-316