A. Bardossy, Calibration of hydrological model parameters for ungauged catchments, Hydrology and Earth System Sciences, vol.11, issue.2, pp.703-710, 2007.
DOI : 10.5194/hess-11-703-2007
URL : https://hal.archives-ouvertes.fr/hal-00305045

K. J. Beven and A. M. Binley, The future of distributed models: Model calibration and uncertainty prediction, Hydrological Processes, vol.28, issue.3, pp.279-298, 1992.
DOI : 10.1002/hyp.3360060305

W. Boughton and F. Chiew, Estimating runoff in ungauged catchments from rainfall, PET and the AWBM model, Environmental Modelling & Software, pp.476-487, 2007.

B. P. Carlin and T. A. Louis, Bayes and empirical Bayes methods for data analysis, 2000.

F. H. Chiew and L. Siriwardena, Estimation Of SIMHYD Parameter Values For Application In Ungauged Catchments, Proceedings of MODSIM 2005 International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, 2005.

S. W. Corporation, Annual Report, 2004.

A. P. Dawid, Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach, Journal of the Royal Statistical Society. Series A (General), vol.147, issue.2, pp.278-292, 1984.
DOI : 10.2307/2981683

L. Feyen, J. A. Vrugt, B. Ó. Nualláin, J. Van-der-knijff, and A. De-roo, Parameter optimisation and uncertainty assessment for large-scale streamflow simulation with the LISFLOOD model, Journal of Hydrology, vol.332, issue.3-4, pp.3-4, 2007.
DOI : 10.1016/j.jhydrol.2006.07.004

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian Data Analysis, 2004.

T. Gneiting, F. Balabdaoui, and A. E. Raftery, Probabilistic forecasts, calibration and sharpness, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.19, issue.2, pp.243-268, 2007.
DOI : 10.1016/S0169-2070(02)00009-2
URL : https://hal.archives-ouvertes.fr/hal-00363242

J. Hall, E. O. Connell, and J. Ewen, On not undermining the science: coherence, validation and expertise, Discussion of Invited Commentary by Keith Beven Hydrological Processes Hydrological Processes, pp.3141-3146, 2006.

D. Huard and A. Mailhot, Calibration of hydrological model GR2M using Bayesian uncertainty analysis, Water Resources Research, vol.332, issue.1-2, 2008.
DOI : 10.1029/2007WR005949

D. Kavetski, S. W. Franks, and G. Kuczera, Confronting input uncertainty in environmental modelling, Calibration of Watershed Models, pp.49-68, 2002.
DOI : 10.1029/WS006p0049

D. Kavetski, G. Kuczera, and S. W. Franks, Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resources Research, vol.18, issue.1796, p.42, 2006.
DOI : 10.1029/2005WR004376

D. Kavetski, G. Kuczera, and S. W. Franks, Calibration of conceptual hydrological models revisited: 2. Improving optimisation and analysis, Journal of Hydrology, vol.320, issue.1-2, pp.187-201, 2006.
DOI : 10.1016/j.jhydrol.2005.07.013

G. Kuczera, D. Kavetski, S. Franks, and M. Thyer, Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters, Journal of Hydrology, vol.331, issue.1-2, pp.161-177, 2006.
DOI : 10.1016/j.jhydrol.2006.05.010

G. Kuczera, D. Kavetski, B. Renard, and M. Thyer, Bayesian Total Error Analysis For Hydrologic Models: Markov Chain Monte Carlo Methods To Evaluate The Posterior Distribution, Proceedings of MODSIM 2007 International Congress on Modelling and Simulation, 2007.

G. A. Kuczera and S. W. Franks, Testing hydrologic models: Fortification or falsification?, Mathematical Modelling of Large Watershed Hydrology, 2002.

F. Laio and S. Tamea, Verification tools for probabilistic forecasts of continuous hydrological variables, Hydrology and Earth System Sciences, vol.11, issue.4, pp.1267-1277, 2007.
DOI : 10.5194/hess-11-1267-2007
URL : https://hal.archives-ouvertes.fr/hal-00305072

B. Mirkin, Clustering for Data Mining: A Data Recovery Approach, 2005.
DOI : 10.1201/9781420034912

J. E. Nash and J. V. Sutcliffe, River flow forecasting through conceptual models part I ??? A discussion of principles, Journal of Hydrology, vol.10, issue.3, pp.282-290, 1970.
DOI : 10.1016/0022-1694(70)90255-6

M. C. Peel, B. L. Finlayson, and T. A. Mcmahon, Updated world map of the K??ppen-Geiger climate classification, Hydrology and Earth System Sciences, vol.11, issue.5, pp.1633-1644, 2007.
DOI : 10.5194/hess-11-1633-2007-supplement

C. Perrin, C. Michel, and V. Andreassian, Improvement of a parsimonious model for streamflow simulation, Journal of Hydrology, vol.279, issue.1-4, pp.275-289, 2003.
DOI : 10.1016/S0022-1694(03)00225-7

R. Development and C. Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, 2008.

B. Renard, D. Kavetski, and G. Kuczera, Comment on 'An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res, 2008.

B. Renard, G. Kuczera, D. Kavetski, M. Thyer, and S. Franks, Bayesian Total Error Analysis for Hydrologic Models: Quantifying Uncertainties Arising from Input, Output and Structural Errors, Proceedings of 31st Hydrology and Water Resources Symposium, Engineers Australia, 2008.
DOI : 10.1029/2009wr008328
URL : http://ecite.utas.edu.au/86415/1/t9.pdf

T. Wagener and H. V. Gupta, Model identification for hydrological forecasting under uncertainty, Stochastic Environmental Research and Risk Assessment, vol.36, issue.2/3, pp.378-387, 2005.
DOI : 10.1007/s00477-005-0006-5

. Wright, Climatic Atlas of Australia: Maps of Evapotranspiration, 2000.

S. A. Wooldridge, J. D. Kalma, and J. P. Walker, Importance of soil moisture measurements for inferring parameters in hydrologic models of low-yielding ephemeral catchments, Environmental Modelling & Software, vol.18, issue.1, pp.35-48, 2003.
DOI : 10.1016/S1364-8152(02)00038-5

J. Yang, P. Reichert, and K. C. Abbaspour, Bayesian uncertainty analysis in distributed hydrologic modeling: A case study in the Thur River basin (Switzerland), Water Resources Research, vol.340, issue.1, p.43, 2007.
DOI : 10.1029/2006WR005497