Representing uncertainty in objective functions: Extension to include the influence of serial correlation

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 3372-3378

  Croke, B F W ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Calibration; Objective function; Uncertainty

Indexed keywords

BENCHMARKING; MEAN SQUARE ERROR; MONTE CARLO METHODS; PARAMETER ESTIMATION;

COEFFICIENT OF DETERMINATION; DIFFERENT TIME STEPS; ESTIMATED PARAMETER; OBJECTIVE FUNCTIONS; PARAMETER UNCERTAINTY; PERFORMANCE INDICATORS; ROOT MEAN SQUARE ERRORS; STANDARD OBJECTIVE FUNCTION;

UNCERTAINTY ANALYSIS;

EID: 85086249383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Aitken, A.C. (1935), On Least Squares and Linear Combination of Observations, Proceedings of the Royal Society of Edinburgh, 55, 42-48.
2. Bai, Y., Wagener, T. and Reed, P. (2009), A top-down framework for watershed model evaluation and selection under uncertainty, Environmental Modelling and Software, doi:10.1016/j.envsoft.2008.12.012.
3. Box, G. E. P., and Cox, D.R. (1964), An analysis of transformations, Journal of Royal Statistical Society, Series B, 26, 211-246.
4. Croke, B.F.W. (2007), The role of uncertainty in design of objective functions, In Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, ISBN: 978-0-9758400-4-7, 2541-2547, 2007.
5. Croke, B., Wagener, T., Post, D., Freer, J. and Littlewood, I. (2008), Evaluating the information content of data for uncertainty reduction in hydrological modelling, Position paper for Workshop 2, iEMSs2008. In Miquel Sànchez-Marrè, Javier Béjar, Joaquim Comas, Andrea E. Rizzoli, Giorgio Guariso (Eds.) Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008). International Environmental Modelling and Software Society, Barcelona, Catalonia, July 2008. ISBN: 978-84-7653-074-0, Vol 3, pp1912-1926.
6. Hill, M.C. and Tiedeman, C.R., (2007), Effective Groundwater Model Calibration, With Analysis of Data, Sensitivities, Predictions, and Uncertainty, Wiley-Interscience, 455pp, ISBN 0470041072, 9780470041079.
7. Sorooshian, S., and Dracup, J.A. (1980), Stochastic Parameter Estimation Procedures for Hydrological Rainfall-Runoff Models: Correlated and Heteroscedastic Error Cases, Water Resources Research, 16 (2), 430-442.