Process-based strategies for model structural improvement and reduction of model prediction uncertainty

IAHS-AISH Publication

Volumn , Issue 303, 2006, Pages 30-37

  Vaché, Kellie B ^a   Mcdonnell, Jeffrey J ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

Modelling; Tracers; Uncertainty

Indexed keywords

CATCHMENTS; COMPUTER SIMULATION; DATA ACQUISITION; MONTE CARLO METHODS; PARAMETER ESTIMATION; WATER QUALITY;

MODEL EVALUATION; MODEL PREDICTION UNCERTAINTY; MODELLING; RESIDENCE TIME; TRACERS; UNCERTAINTY;

UNCERTAIN SYSTEMS;

CATCHMENT; DISCHARGE; FLOW FIELD; HILLSLOPE; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS;

EID: 33745797321     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Beven, K. J. (2001) How far can we go in distributed hydrological modelling? Hydrol Earth. Syst. Sci. 5(1), 1-12.
2. Beven, K. J. (2002a) Towards an alternative blueprint for a physically-based digitally simulated hydrologie response modelling system. Hydrol. Process. 16(2), 189-206.
3. Beven, K. J (2002b) Towards a coherent philosophy for environmental modelling. Proc. Roy. Soc. Lond. 458, 2465-2484.
4. Boyle, D. P., Gupta, H. V. & Sorooshian, S. (2000) Toward improved calibration of hydrologic models: combining the strengths of manual and automatic methods. Water Resour. Res. 36, 3663-3674.
5. Franks, S. W., Gineste, P., Beven, K. J. & Merot, P. (1998) On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process. Water Resour. Res. 34, 787-797.
6. Goode, D. J. (1996) Direct simulation of groundwater age. Water Resour. Res. 322, 289-296.
7. Hooper, R. P. (2001) Applying the scientific method to small catchment studies: a review of the Panola Mountain experience. Hydrol. Processes 15, 2039-2050.
8. Kuczera, G. & Mroczkowski, M. (1998) Assessment of hydrologic parameter uncertainty and the worth of multiresponse data. Water Resour. Res. 34, 1481-1489.
9. Maloszewski, P. & Zuber, A. (1996) Lumped parameter models for the interpretation of environmental tracer data. Manual on Mathematical Models In Isotope Hydrogeology, TECDOC-910, 9-58. International Atomic Energy Agency, Vienna, Austria.
10. McGlynn, B. L., McDonnell J. J. & Brammer D. D. (2002) A review of the evolving perceptual model of hillslope flow paths at the Maimai catchments, New Zealand. J. Hydrol. 257, 1-26.
11. Pearce, A. J., Stewart, M. K. & Sklash, M. G. (1986) Storm runoff generation in humid headwater catchments: 1. Where does the water come from? Water Resour. Res. 22, 1263-1272.
12. Scanlon, T. M., Raffensperger, I. P. & Hornberger, G. M. (2001) Modelling transport of dissolved silica in a forested headwater catchment: Implications for defining the hydrochemical response of observed flow pathways. Water Resour. Res. 37, 1071-1082.
13. Seibert, J., Rodhe, A. & Bishop, K. (2003) Simulating interactions between saturated and unsaturated storage in a conceptual runoff model. Hydrol. Processes 172, 379-390.
14. Seibert, J. & McDonnell, J. J. (2002) On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration. Water Resour. Res. 3811, 1241.
15. Sivapalan, M. (2003) Process complexity at hillslope scale, process simplicity at the watershed scale: is there a connection? Hydrol. Processes 175, 1037-1041.
16. Vaché, K. B. & McDonnell, J. J. (2006) A process-based rejectionist framework for evaluating catchment runoff model structure. Water Resour. Res. (in press).
17. Vaché, K. B., McDonnell, J. J.& Boite, J. P. (2004) On the use of multiple criteria for a posteriori parameter estimation, Geophys. Res. Lett. 31, L21504, doi:10.1029/2004GL021577.
18. Wigmosta, M. S., Vail, L. W. & Lettenmaier D. P. (1994) A distributed hydrology-vegetation model for complex terrain. Water Resour. Res. 30, 1665-1679.