References
- Beven, K. J. 1997., TOPMODEL: a critique. Hydrological Processes 11(3): 1069-1085 https://doi.org/10.1002/(SICI)1099-1085(199707)11:9<1069::AID-HYP545>3.0.CO;2-O
- Beven, K.J. 2001. Rainfall-Runoff Modeling. The Primer, Wiley, Chichester. pp. 360
- Beven, KJ. 2002. Towards a coherent philosophy for modelling the environment. Proceedings of the Royal Society of London Series A-Mathematica Physical and Engineering Sciences 458(2026): 2465-2484
- Beven, K.J. 2005. A manifesto for the equifinality thesis. Journal of Hydrology, in press
- Beven, K.J. and Binley, A. 1992. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 6: 279-298 https://doi.org/10.1002/hyp.3360060305
- Beven, K.J. and Freer, J. 2001a. A dynamic TOPMODEL. Hydrological Processes 15, 1993-2011 https://doi.org/10.1002/hyp.252
- Beven, K.J. and Freer, J. 2001b. Equifinality, data assimilation, and uncertainty estimation in mechanistic modeling of complex environmental systems using the GLUE methodology. Journal of Hydrology 249: 11-29 https://doi.org/10.1016/S0022-1694(01)00421-8
- Beven, K.J. and Kirkby, M.J. 1979. A physically-based variable contributing area model of basin hydrology. Hydrol. Sci. Bull. 24(1): 43-69 https://doi.org/10.1080/02626667909491834
- Beven, K.J., Lamb, R., Quinn, P., Romanowicz, R., and Freer, J. 1995. TOPMODEL. In: Singh, V.P., Editor, 1995. Computer Models of Watershed Hydrology, Water Resource Publications, Colorado, 627-668
- Beven, K.J., Quinn, P.J., Romanowicz, R., Freer, J., Fisher, J. and Lamb, R. 1994. TOPMODEL and GRIDATB: A Users Guide to the Distribution Versions (94.01). TR110/94, 43 pp., CRES
- Blazkova, S. and Beven, K. 2004. Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic. Journal of Hydrology 292: 153-172 https://doi.org/10.1016/j.jhydrol.2003.12.025
- Franchini, M., Wendling, J., Obled, C. and Todini, E. 1996. Physical interpretation and sensitivity analysis of the TOPMODEL. Journal of Hydrology 175: 293-338 https://doi.org/10.1016/S0022-1694(96)80015-1
- Freer, J. 1998. Uncertainty and calibration of conceptual rainfall runoff models. Ph.D. Thesis, Lancaster University
- Freer, J.E., Beven, K.J. and Peters, N.E. 2003. Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure. In: Duan, Q., Gupta, H., Sorooshian, S., Rousseau, A.N. and Turcotte, R., Editors; 2003. Calibration of watershed models. AGU, Water Science and Application Series, Washington pp. 346
- Gupta, H.V., Bastidas, L.A, Sorooshian, S., Shuttleworth, W.J. and Yang, Z.L. 1999. Parameter estimation of a land surface scheme using multicriteria methods. Journal of Geophysical Research 104(D16): 19,491-19,503 https://doi.org/10.1029/1999JD900154
- Hornberger, G.M. and Spear, R. 1981. An approach to the preliminary analysis of environmental systems. Journal of Environmental Management 12: 7-18
- Legates, D.R., and Davies, R.E. 1997. The continuing search for an anthropogenic climate change signal: Limitations of correlation-based approaches. Geophys. Res. Lett. 24: 2319-2322 https://doi.org/10.1029/97GL02207
- Loague, K. and VanderKwaak, J.E. 2004. Physicsbased hydrologic response simulation: platinum bridge, 1958 Edsel, or useful tool. Hydrological Processes 18: 2949-2956 https://doi.org/10.1002/hyp.5737
- Madsen, H., Wilson, G and Ammentorp, H.C. 2002. Comparison of different automatic strategies for calibration of rainfall-runoff models. Journal of Hydrology 261: 48-59 https://doi.org/10.1016/S0022-1694(01)00619-9
- Ndiritu J.G. and Daniell, T.M. 1999. Assessing model calibration adequacy via global optimization. Water SA 25(3): 317-326
- Ratto, M., Tarantola, S. and Saltelli, A. 2001. Sensitivity analysis in model calibration: GSA-GLUE approach. Computer Physics Communications 136: 212-224 https://doi.org/10.1016/S0010-4655(01)00159-X
- Refsgaard, J.C. and Knudsen, J. 1996. Operational validation and intercomparison of different types of hydrological models. Water Resources Research 32(7): 2189-2202 https://doi.org/10.1029/96WR00896
- Refsgaard, J.C. 1997. Parameterisation, calibration and validation of distributed hydrological models, Journal of Hydrology 198: 69-97 https://doi.org/10.1016/S0022-1694(96)03329-X
- Uhlenbrook, S. and Siebert, A. 2004. On the value of experimental data to reduce the prediction uncertainty of a process-oriented catchment model. Environmental Modelling & Software, in press
- Vieux, B.E., Cui, Z. and Gaur, A. 2004. Evaluation of a physics-based distributed hydrologic model for flood forecasting. Journal of Hydrology 298: 155-177 https://doi.org/10.1016/j.jhydrol.2004.03.035