N. J. De-vos, T. H. Rientjes, and H. V. Gupta, Diagnostic evaluation of conceptual rainfallrunoff models using temporal clustering, Hydrological Processes, pp.2840-2850, 2010.

L. Donnelly-makowecki, R. Et, and . Moore, Hierarchical testing of three rainfall???runoff models in small forested catchments, Journal of Hydrology, vol.219, issue.3-4, pp.3-4, 1999.
DOI : 10.1016/S0022-1694(99)00056-6

M. Ebtehaj, H. Moradkhani, and H. V. Gupta, Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling, Water Resources Research, vol.52, issue.3, pp.10-1029, 2010.
DOI : 10.1029/2009WR007981

F. Garavaglia, Méthode SCHADEX de prédétermination des crues extrêmes, Thèse de doctorat, p.279, 2011.

R. Garçon, Prévision opérationnelle des apports de la durance à serre-ponçon à l'aide du modèle MORDOR. bilan de l'année 1994-1995, pp.71-76, 1996.

S. Gharari, M. Hrachowitz, F. Fenicia, and H. H. Savenije, An approach to identify time consistent model parameters : sub-period calibration, Hydrology and Earth System Sciences, pp.149-16110, 2013.

F. Gottardi, Estimation statistique et réanalyse des précipitations en montagne utilisation d'ébauches par types de temps et assimilation de données d'enneigement application aux grands massifs montagneux français, Thèse de doctorat, p.284, 2009.

F. Gottardi, C. Obled, J. Gailhard, and E. E. Paquet, Statistical reanalysis of precipitation fields based on ground network data and weather patterns: Application over French mountains, Journal of Hydrology, vol.432, issue.433, pp.432-433, 2012.
DOI : 10.1016/j.jhydrol.2012.02.014

K. Görgen, J. Beersma, H. Buiteveld, G. Brahmer, M. Carambia et al., Assessment of climate change impacts on discharge in the rhine river basin : Results of the RheinBlick2050 project, p.229, 2010.

H. V. Gupta, H. Kling, K. K. Yilmaz, and G. F. Martinez, Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, Journal of Hydrology, vol.377, issue.1-2, pp.80-91, 2009.
DOI : 10.1016/j.jhydrol.2009.08.003

G. Hartmann, A. Et, and . Bárdossy, Investigation of the transferability of hydrological models and a method to improve model calibration, Advances in Geosciences, vol.5, pp.83-87, 2005.
DOI : 10.5194/adgeo-5-83-2005
URL : https://hal.archives-ouvertes.fr/hal-00296839

S. Hayami, On the propagation of flood waves, Bulletins -Disaster Prevention Research Institute, pp.1-16, 1951.

M. He, T. S. Hogue, K. J. Franz, S. A. Margulis, and J. A. Vrugt, Characterizing parameter sensitivity and uncertainty for a snow model across hydroclimatic regimes, Advances in Water Resources, vol.34, issue.1, pp.114-127, 2011.
DOI : 10.1016/j.advwatres.2010.10.002

M. Herrnegger, H. Nachtnebel, and E. T. Haiden, Evapotranspiration in high alpine catchments ??? an important part of the water balance!, Hydrology Research, vol.43, issue.4, pp.460-475, 2012.
DOI : 10.2166/nh.2012.132

A. Kay, H. Davies, V. Bell, and R. Jones, Comparison of uncertainty sources for climate change impacts: flood frequency in England, Climatic Change, vol.330, issue.16, pp.41-63, 2009.
DOI : 10.1007/s10584-008-9471-4

V. Kleme?, Operational testing of hydrological simulation models, Hydrological Sciences Journal, vol.63, issue.45, pp.31-44, 1080.
DOI : 10.1017/CBO9780511569647

T. S. Kokkonen, A. J. Et, and . Jakeman, A comparison of metric and conceptual approaches in rainfall-runoff modeling and its implications, Water Resources Research, vol.33, issue.9, pp.2345-2352, 2001.
DOI : 10.1029/2001WR000299

L. Lay, M. , S. Galle, G. M. Saulnier, and E. I. Braud, Exploring the relationship between hydroclimatic stationarity and rainfall-runoff model parameter stability: A case study in West Africa, Water Resources Research, vol.17, issue.3, pp.742010-1029, 2007.
DOI : 10.1029/2006WR005257
URL : https://hal.archives-ouvertes.fr/insu-00386863

L. Moine and N. , Le bassin versant de surface vu par le souterrain : une voie d'amélioration des performances et du réalisme desmodèles pluie-débit ?, UPMC, Thèse de doctorat, p.264, 2008.

L. Moine, N. Et, and C. Monteil, CEQUEAU -EDF R&D version 5.1.1, note de principe, EDF R&D, p.33, 2012.

L. Moine, N. , V. Andréassian, C. Perrin, and E. C. Michel, How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments, Water Resources Research, vol.68, issue.11, 1029.
DOI : 10.1029/2006WR005608

J. Lerat, V. Andréassian, C. Perrin, J. Vaze, J. M. Perraud et al., Do internal flow measurements improve the calibration of rainfall-runoff models?, Water Resources Research, vol.340, issue.1-4, pp.251110-1029, 2012.
DOI : 10.1029/2010WR010179
URL : https://hal.archives-ouvertes.fr/hal-01196256

C. Z. Li, L. Zhang, H. Wang, Y. Q. Zhang, F. L. Yu et al., The transferability of hydrological models under nonstationary climatic conditions, Hydrology and Earth System Sciences, pp.1239-125410, 2012.

Z. Lin, M. B. Et, and . Beck, Accounting for structural error and uncertainty in a model : An approach based on model parameters as stochastic processes, Environmental Modelling & Software, pp.27-28, 2012.

F. Lobligeois, Etude comparative des modèles d'ETP sur des évènements climatiques extrêmes & analyse des stratégies de prise en compte de l'irrigation dans le modèle hydrologique CEQUEAU, UMPC Sisyphe -EDF R&D, p.74, 2010.

N. Matalas, Comment on the Announced Death of Stationarity, Journal of Water Resources Planning and Management, vol.138, issue.4, pp.311-312, 2012.
DOI : 10.1061/(ASCE)WR.1943-5452.0000215

T. Mathevet, Quels modèles pluie-débit globaux au pas de temps horaire ? développements empiriques et comparaison de modèle sur un large échantillon de bassins versants, Thèse de doctorat, p.354, 2005.

E. P. Maurer, Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California, under two emissions scenarios, Climatic Change, vol.129, issue.D20, pp.309-325, 2007.
DOI : 10.1007/s10584-006-9180-9

H. Mcmillan, M. Jackson, D. Clark, E. R. Kavetski, and . Woods, Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models, Journal of Hydrology, vol.400, issue.1-2, pp.83-94, 2011.
DOI : 10.1016/j.jhydrol.2011.01.026

R. Merz, J. Parajka, and E. G. Blöschl, Time stability of catchment model parameters: Implications for climate impact analyses, Water Resources Research, vol.45, issue.10, pp.10-1029, 2011.
DOI : 10.1029/2010WR009505

V. Mezentsev, Du nouveau sur le calcul de l'évaporation totale (yechio raz o rastchetie srednevo summarnovo ispareniia, Meteorologiya i Gidrologiya (Russian Meteorology and Hydrology), pp.24-26, 1955.

P. C. Milly, J. Betancourt, M. Falkenmark, R. M. Hirsch, Z. W. Kundzewicz et al., Stationarity Is Dead: Whither Water Management?, Science, vol.319, issue.5863, pp.319-573, 2008.
DOI : 10.1126/science.1151915

J. Monteith, Evaporation and environment, Symposia of the Society for Experimental Biology (in The State and Movement of Water in Living Organisms, pp.205-234, 1965.

F. Morton, Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology, Journal of Hydrology, vol.66, issue.1-4, pp.1-7610, 1983.
DOI : 10.1016/0022-1694(83)90177-4

S. Mouelhi, C. Michel, C. Perrin, and E. V. Andréassian, Linking stream flow to rainfall at the annual time step: The Manabe bucket model revisited, Journal of Hydrology, vol.328, issue.1-2, pp.283-296, 2006.
DOI : 10.1016/j.jhydrol.2005.12.022

C. Murphy, R. Fealy, R. Charlton, and E. J. Sweeney, The reliability of an 'off-the-shelf' conceptual rainfall runoff model for use in climate impact assessment: uncertainty quantification using Latin hypercube sampling, Area, vol.2, issue.1, pp.65-78, 2006.
DOI : 10.1016/S0022-1694(01)00328-6

J. Nash, J. Et, and . Sutcliffe, River flow forecasting through conceptual models part I ??? A discussion of principles, Journal of Hydrology, vol.10, issue.3, pp.282-29010, 1970.
DOI : 10.1016/0022-1694(70)90255-6

H. Niel, J. E. Paturel, and E. E. Servat, Study of parameter stability of a lumped hydrologic model in a context of climatic variability, Journal of Hydrology, vol.278, issue.1-4, pp.213-230, 2003.
DOI : 10.1016/S0022-1694(03)00158-6

L. Oudin, F. Hervieu, C. Michel, C. Perrin, V. Andréassian et al., Which potential evapotranspiration input for a lumped rainfall?runoff model ? : Part 2-towards a simple and efficient potential evapotranspiration model for rainfall?runoff modelling, Journal of Hydrology, vol.303, pp.1-4, 2005.

L. Oudin, V. Andréassian, T. Mathevet, C. Perrin, and E. C. Michel, Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations, Water Resources Research, vol.238, issue.1-2, pp.741010-1029, 2006.
DOI : 10.1029/2005WR004636

L. Oudin, C. Perrin, T. Mathevet, V. Andréassian, and E. C. Michel, Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models, Journal of Hydrology, vol.320, issue.1-2, pp.62-83, 2006.
DOI : 10.1016/j.jhydrol.2005.07.016

E. Paquet, Evolution du mod??le hydrologique MORDOR??: mod??lisation du stock nival ?? diff??rentes altitudes, La Houille Blanche, issue.2, pp.75-8210, 1051.
DOI : 10.1051/lhb:200402008

E. Paquet, Critique et homogénéisation de séries climatologiques. outil KRITIKOR, notice méthodologique, EDF-DTG, Rapport technique, p.26, 2005.

C. Perrin, Vers une amélioration d'un modèle global pluie-débit au travers d'une approche comparative, INPG, Thèse de doctorat, p.291, 2000.
DOI : 10.1051/lhb/2002089

C. Perrin, C. Michel, and E. V. Andréassian, Improvement of a parsimonious model for streamflow simulation, Journal of Hydrology, vol.279, issue.1-4, pp.275-28910, 2003.
DOI : 10.1016/S0022-1694(03)00225-7

C. Prudhomme and H. Davies, Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 1: baseline climate, Climatic Change, vol.320, issue.1-2, pp.177-19510, 2009.
DOI : 10.1007/s10584-008-9464-3

C. Prudhomme and H. Davies, Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 2: future climate, Climatic Change, vol.320, issue.1-2, pp.197-22210, 2009.
DOI : 10.1007/s10584-008-9461-6

P. Quintana-seguí, P. Le-moigne, Y. Durand, E. Martin, F. Habets et al., Analysis of Near-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over France, Journal of Applied Meteorology and Climatology, vol.47, issue.1, pp.97-10710, 1175.
DOI : 10.1175/2007JAMC1636.1

J. C. Refsgaard, J. Et, and . Knudsen, Operational Validation and Intercomparison of Different Types of Hydrological Models, Water Resources Research, vol.26, issue.10, pp.2189-2202, 1996.
DOI : 10.1029/96WR00896

B. Renard, Détection et prise en compte d'éventuels impacts du changement climatique sur les extrêmes hydrologiques en france, INPG, Thèse de doctorat, p.268, 2008.

D. E. Reusser, E. Et, and . Zehe, Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity, Water Resources Research, vol.219, issue.1-2, pp.201110-1029, 2011.
DOI : 10.1029/2010WR009946

D. E. Reusser, T. Blume, B. Schaefli, and E. E. Zehe, Analysing the temporal dynamics of model performance for hydrological models, Hydrology and Earth System Sciences Discussions, vol.5, issue.6, pp.3169-3211, 2008.
DOI : 10.5194/hessd-5-3169-2008

E. Rosero, Z. Yang, T. Wagener, L. E. Gulden, S. Yatheendradas et al., Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season, Journal of Geophysical Research, vol.44, issue.6, p.201010, 1029.
DOI : 10.1029/2009JD012035

C. Schneider, C. L. Laizé, M. C. Acreman, and E. M. Flörke, How will climate change modify river flow regimes in europe ?, Hydrology and Earth System Sciences, pp.325-33910, 2013.

J. Seibert, On the need for benchmarks in hydrological modelling, Hydrological Processes, pp.1063-1064, 2001.

J. Seibert, Reliability of model predictions outside calibration conditions, Nordic Hydrology, pp.477-492, 2003.

D. Seifert, T. O. Sonnenborg, J. C. Refsgaard, A. L. Højberg, and E. L. Troldborg, Assessment of hydrological model predictive ability given multiple conceptual geological models, Water Resources Research, vol.24, issue.3, pp.201210-1029, 2012.
DOI : 10.1029/2011WR011149

G. Seiller, F. Anctil, and E. C. Perrin, Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions, Hydrology and Earth System Sciences, pp.1171-1189, 2012.

R. Singh, T. Wagener, K. Van-werkhoven, M. E. Mann, and E. R. Crane, A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate ? accounting for changing watershed behavior, Hydrology and Earth System Sciences, pp.3591-3603, 2011.

S. Steele-dunne, P. Lynch, R. Mcgrath, T. Semmler, S. Wang et al., The impacts of climate change on hydrology in Ireland, Journal of Hydrology, vol.356, issue.1-2, pp.28-45, 2008.
DOI : 10.1016/j.jhydrol.2008.03.025

K. S. Tan, F. H. Chiew, R. B. Grayson, P. J. Scanlon, and E. L. Siriwardena, Calibration of a daily rainfall-runoff model to estimate high daily flows, MODSIM 2005 International Congress on Modelling and Simulation, pp.2960-2966, 2005.

J. Teng, J. Vaze, F. H. Chiew, B. Wang, and J. Perraud, Estimating the Relative Uncertainties Sourced from GCMs and Hydrological Models in Modeling Climate Change Impact on Runoff, Journal of Hydrometeorology, vol.13, issue.1, pp.122-139, 2012.
DOI : 10.1175/JHM-D-11-058.1

C. W. Thornthwaite, An Approach toward a Rational Classification of Climate, Geographical Review, vol.38, issue.1, pp.55-94, 1948.
DOI : 10.2307/210739

L. Turc, Le bilan d'eau des sols : relation entre les précipitations, l'évapotranspiration et l'écoulement, Annales agronomiques, Série A, issue.5, pp.491-595, 1954.

R. Turcotte, L. Fortin, V. Fortin, J. Fortin, and J. Villeneuve, Operational analysis of the spatial distribution and the temporal evolution of the snowpack water equivalent in southern québec, canada, Nordic Hydrology, 2007.

A. Valéry, Modélisation précipitations-débit sous influence nivale. Élaboration d'un module neige et évaluation sur 380 bassins versants, Thèse de doctorat, p.303, 2010.

J. Vaze, J. Et, and . Teng, Future climate and runoff projections across New South Wales, Australia: results and practical applications, Hydrological Processes, vol.11, issue.1-3), pp.18-35, 2011.
DOI : 10.1002/hyp.7812

J. Vaze, D. A. Post, F. H. Chiew, J. Perraud, N. R. Viney et al., Climate non-stationarity ??? Validity of calibrated rainfall???runoff models for use in climate change studies, Journal of Hydrology, vol.394, issue.3-4, pp.447-457, 2010.
DOI : 10.1016/j.jhydrol.2010.09.018

J. Vaze, F. H. Chiew, J. Perraud, N. R. Viney, D. A. Post et al., Rainfall-runoff modelling across southeast australia : Datasets, models and results, Australian Journal of Water Resources, vol.14, issue.2, pp.101-116, 2011.

S. Vicuna, J. A. Et, and . Dracup, The evolution of climate change impact studies on hydrology and water resources in California, Climatic Change, vol.249, issue.1???4, pp.327-35010, 2007.
DOI : 10.1007/s10584-006-9207-2

J. Vidal, S. Et, and . Wade, A framework for developing high-resolution multi-model climate projections: 21st century scenarios for the UK, International Journal of Climatology, vol.62, issue.7, pp.843-858, 2008.
DOI : 10.1002/joc.1593

T. Wagener, N. Mcintyre, M. J. Lees, H. S. Wheater, and H. V. Gupta, Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis, Hydrological Processes, vol.23, issue.2, pp.455-476, 2003.
DOI : 10.1002/hyp.1135

R. L. Wilby, Uncertainty in water resource model parameters used for climate change impact assessment, Hydrological Processes, vol.23, issue.16, pp.3201-3219, 2005.
DOI : 10.1002/hyp.5819

R. L. Wilby, I. Et, and . Harris, A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK, Water Resources Research, vol.62, issue.12, 1029.
DOI : 10.1029/2005WR004065

G. Wriedt, M. Et, and . Rode, Investigation of parameter uncertainty and identifiability of the hydrological model WaSiM-ETH, Advances in Geosciences, vol.9, pp.145-150, 2006.
DOI : 10.5194/adgeo-9-145-2006
URL : https://hal.archives-ouvertes.fr/hal-00296968

C. Xu, Climate change and hydrologic models : A review of existing gaps and recent research developments, Water Resources Management, vol.13, issue.5, pp.369-38210, 1999.
DOI : 10.1023/A:1008190900459

P. O. Yapo, H. V. Gupta, and E. S. Sorooshian, Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data, Journal of Hydrology, vol.181, issue.1-4, pp.23-48, 1996.
DOI : 10.1016/0022-1694(95)02918-4

H. Zhang, G. H. Huang, D. Wang, and E. X. Zhang, Multi-period calibration of a semi-distributed hydrological model based on hydroclimatic clustering, Advances in Water Resources, vol.34, issue.10, pp.1292-1303, 2011.
DOI : 10.1016/j.advwatres.2011.06.005

I. Zin, Incertitudes et ambiguité dans la modélisation hydrologique : discussion, développements méthodologiques et application à l'hydrologie de crue en ardèche, Thèse de doctorat, p.200, 2002.

. Résultats-issus-de-merz, illustrant la corrélation entre variations climatiques et les valeurs de paramètres d'un modèle hydrologique, p.14, 2011.

.. Aperçu-de-la-variabilité-des-etps, précipitations et écoulements sur les bassins étudiés, à différentes échelles temporelles, p.47

.. -brioude, Aperçu des erreurs commises par GR4J lors des transferts entre périodes en lien avec ?T pour le bassin de l'Allier à Vieille, p.81

G. Et and ?. , Biais de GR4J lors des transferts entre périodes sur 120 bassins concernés par des corrélations entre ?erreurs, p.315

G. Et and ?. , Biais de GR4J lors des transferts entre périodes sur 32 bassins concernés par des corrélations entre ?erreurs, p.316

G. Et and ?. , Biais de GR4J lors des transferts entre périodes sur 14 bassins concernés par des corrélations entre ?erreurs, p.317

H. 3-brioude and .. , Exemples de résultats de calages robustes de GR4J sur le bassin de l'Allier à Vieille, p.339

N. A. Abebe, F. L. Ogden, and N. R. Pradhan, Sensitivity and uncertainty analysis of the conceptual HBV rainfall???runoff model: Implications for parameter estimation, Journal of Hydrology, vol.389, issue.3-4, pp.3-4, 2010.
DOI : 10.1016/j.jhydrol.2010.06.007

F. Anctil, C. Perrin, and V. Andréassian, Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models, Environmental Modelling & Software, vol.19, issue.4, pp.357-368, 2004.
DOI : 10.1016/S1364-8152(03)00135-X

V. Andréassian, C. Perrin, and C. Michel, Impact of imperfect potential evapotranspiration knowledge on the efficiency and parameters of watershed models, Journal of Hydrology, vol.286, issue.1-4, pp.1-4, 2004.
DOI : 10.1016/j.jhydrol.2003.09.030

V. Andréassian, C. Perrin, C. Michel, I. Usart-sanchez, and J. Lavabre, Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models, Journal of Hydrology, vol.250, issue.1-4, pp.1-4, 2001.
DOI : 10.1016/S0022-1694(01)00437-1

H. Apaydin, A. S. Anli, and A. Ozturk, The temporal transferability of calibrated parameters of a hydrological model, Ecological Modelling, vol.195, issue.3-4, pp.3-4, 2006.
DOI : 10.1016/j.ecolmodel.2005.11.032

A. Brath, A. Montanari, and E. Toth, Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model, Journal of Hydrology, vol.291, issue.3-4, pp.3-4, 2004.
DOI : 10.1016/j.jhydrol.2003.12.044

I. Chaubey, C. T. Haan, S. Grunwald, and J. M. Salisbury, Uncertainty in the model parameters due to spatial variability of rainfall, Journal of Hydrology, vol.220, issue.1-2, pp.48-61, 1999.
DOI : 10.1016/S0022-1694(99)00063-3

F. H. Chiew, J. Teng, J. Vaze, D. A. Post, J. M. Perraud et al., Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method, Water Resources Research, vol.45, issue.10, p.10414, 2009.
DOI : 10.1029/2008WR007338

H. T. Choi and K. Beven, Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework, Journal of Hydrology, vol.332, issue.3-4, pp.3-4, 2007.
DOI : 10.1016/j.jhydrol.2006.07.012

V. Kleme?, Operational testing of hydrological simulation models, Hydrological Sciences Journal, vol.63, issue.45, pp.13-24, 1986.
DOI : 10.1017/CBO9780511569647

T. S. Kokkonen and A. J. Jakeman, A comparison of metric and conceptual approaches in rainfall-runoff modeling and its implications, Water Resources Research, vol.33, issue.9, pp.2345-2352, 2001.
DOI : 10.1029/2001WR000299

R. Merz, J. Parajka, and G. Blöschl, Time stability of catchment model parameters: Implications for climate impact analyses, Water Resources Research, vol.45, issue.10, p.2531, 2011.
DOI : 10.1029/2010WR009505

X. Mo, F. Pappenberger, K. J. Beven, S. Liu, A. De-roo et al., Parameter conditioning and prediction uncertainties of the LISFLOOD-WB distributed hydrological model, Hydrological Sciences Journal, vol.26, issue.1, pp.45-65, 2006.
DOI : 10.1016/0022-1694(92)90096-E

C. Murphy, R. Fealy, R. Charlton, and J. Sweeney, The reliability of an 'off-the-shelf' conceptual rainfall runoff model for use in climate impact assessment: uncertainty quantification using Latin hypercube sampling, Area, vol.2, issue.1, pp.65-78, 2006.
DOI : 10.1016/S0022-1694(01)00328-6

H. Niel, J. E. Paturel, and E. Servat, Study of parameter stability of a lumped hydrologic model in a context of climatic variability, Journal of Hydrology, vol.278, issue.1-4, pp.1-4, 2003.
DOI : 10.1016/S0022-1694(03)00158-6

L. Oudin, C. Perrin, T. Mathevet, V. Andréassian, and C. Michel, Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models, Journal of Hydrology, vol.320, issue.1-2, pp.62-83, 2006.
DOI : 10.1016/j.jhydrol.2005.07.016

C. Perrin, L. Oudin, V. Andréassian, C. Rojas-serna, C. Michel et al., Impact of limited streamflow data on the efficiency and the parameters of rainfall???runoff models, Hydrological Sciences Journal, vol.27, issue.1, p.131, 2007.
DOI : 10.1029/96WR02840

J. Vaze, D. A. Post, F. Chiew, J. M. Perraud, N. Viney et al., Climate nonstationarity ? Validity of calibrated rainfall?runoff models for use in climatic changes studies, J. Hydrol, vol.394, pp.3-4, 2010.

R. L. Wilby, Uncertainty in water resource model parameters used for climate change impact assessment, Hydrological Processes, vol.23, issue.16, pp.3201-3219, 2005.
DOI : 10.1002/hyp.5819

R. L. Wilby and I. Harris, A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK, Water Resources Research, vol.62, issue.12, p.2419, 2006.
DOI : 10.1029/2005WR004065

G. Wriedt and M. Rode, Investigation of parameter uncertainty and identifiability of the hydrological model WaSiM-ETH, Advances in Geosciences, vol.9, pp.145-150, 2006.
DOI : 10.5194/adgeo-9-145-2006
URL : https://hal.archives-ouvertes.fr/hal-00296968

P. O. Yapo, H. V. Gupta, and S. Sorooshian, Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data, Journal of Hydrology, vol.181, issue.1-4, pp.1-4, 1996.
DOI : 10.1016/0022-1694(95)02918-4

R. Anctil, F. , C. Perrin, and V. Andréassian, Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models, Environmental Modelling & Software, vol.19, issue.4, pp.357-36810, 2004.
DOI : 10.1016/S1364-8152(03)00135-X

V. Andréassian, C. Perrin, L. Berthet, N. Le-moine, J. Lerat et al., Crash tests for a standardized evaluation of hydrological models, Hydrol. Earth Syst. Sci, vol.135194, issue.10, pp.1757-176410, 1757.

N. W. Arnell, Uncertainty in the relationship between climate forcing and hydrological response in UK catchments, Hydrology and Earth System Sciences, vol.15, issue.3, pp.897-91210, 2011.
DOI : 10.5194/hess-15-897-2011

S. Bastola, C. Murphy, and J. Sweeney, Evaluation of the transferability of hydrological model parameters for simulations under changed climatic conditions, Hydrology and Earth System Sciences Discussions, vol.8, issue.3, pp.5891-591510, 2011.
DOI : 10.5194/hessd-8-5891-2011

N. Chahinian, Compilation of the MOPEX 2004 results, in Large Sample Basin Experiments for Hydrological Model Parameterization: Results of the Model Parameter Experiment-MOPEX, pp.313-338, 2006.

F. H. Chiew, M. C. Peel, and A. W. Western, Application and testing of the simple rainfall-runoff model SIMHYD, Mathematical Models of Small Watershed Hydrology and Applications,e d i t e db yV .P .S i n g h and D. K. Frevert, pp.335-367, 2002.

F. H. Chiew, Rainfall-runoff modelling across the Murray- Darling Basin: A report to the Australian government from the CSIRO Murray-Darling Basin Sustainable Yields Project, 2008.

H. T. Choi and K. Beven, Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOP- MODEL within the GLUE framework, J. Hydrol, vol.332, pp.3-4, 2007.

L. Coron, V. Andréassian, M. Bourqui, C. Perrin, and F. Hendrickx, Pathologies of hydrological models used in changing climatic conditions: A review, in IUGG 2011?Hydro-climatology: Variability and Change, pp.39-44, 2011.

N. J. De-vos, T. H. Rientjes, and H. V. Gupta, Diagnostic evaluation of conceptual rainfall-runoff models using temporal clustering, Hydrological Processes, vol.204, issue.1, pp.2840-2850, 2010.
DOI : 10.1002/hyp.7698

L. Donnelly-makowecki and R. Moore, Hierarchical testing of three rainfall???runoff models in small forested catchments, Journal of Hydrology, vol.219, issue.3-4, pp.3-4, 1999.
DOI : 10.1016/S0022-1694(99)00056-6

N. D. Edijatno, X. Nascimento, Z. Yang, C. Makhlouf, and . Michel, GR3J: a daily watershed model with three free parameters, GR3J: A daily watershed model with three free parameters, pp.263-27710, 1080.
DOI : 10.1061/(ASCE)0733-9496(1995)121:5(345)

R. Garc-on, Prévision opérationnelle des apports de la Durance a ` Serre-Ponc on a ` l'aide du modèle MORDOR. Bilan de l'année 1994? 1995, pp.71-76, 1996.

K. Görgen, Assessment of Climate Change Impacts on Discharge in the Rhine River Basin: Results of the RheinBlick2050 Project, CHR Rep. I-23, Int. Comm. for the Hydrol, 2010.

H. V. Gupta and H. Kling, On typical range, sensitivity, and normalization of Mean Squared Error and Nash-Sutcliffe Efficiency type metrics, Water Resources Research, vol.181, issue.1-4, pp.10-1029, 2011.
DOI : 10.1029/2011WR010962

C. J. Harman, P. A. Troch, and M. Sivapalan, Functional model of water balance variability at the catchment scale: 2. Elasticity of fast and slow runoff components to precipitation change in the continental United States, Water Resources Research, vol.37, issue.5, pp.252310-1029, 2011.
DOI : 10.1029/2010WR009656

V. Kleme-s, Operational testing of hydrological simulation models, Hydrological Sciences Journal, vol.63, issue.45, pp.13-2410, 1080.
DOI : 10.1017/CBO9780511569647

D. Koutsoyiannis, Hurst-Kolmogorov Dynamics and Uncertainty1, JAWRA Journal of the American Water Resources Association, vol.25, issue.1, pp.481-495, 2011.
DOI : 10.1111/j.1752-1688.2011.00543.x
URL : http://dspace.lib.ntua.gr/handle/123456789/21206

L. Moine, N. , V. Andréassian, C. Perrin, and C. Michel, How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments, Water Resources Research, vol.68, issue.11, pp.10-1029, 2007.
DOI : 10.1029/2006WR005608

J. Lerat, V. Andréassian, C. Perrin, J. Vaze, J. Perraud et al., Do internal flow measurements improve the calibration of semidistributed rainfall-runoff models?, Water Resour. Res, vol.48, pp.251110-1029, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00582447

T. Mathevet, Quels modèles pluie-débit globaux au pas de temps horaire? Développements empiriques et comparaison de modèle sur un large e ´chantillon de bassins versants, 2005.

H. Mcmillan, M. Jackson, D. Clark, R. Kavetski, and . Woods, Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models, Journal of Hydrology, vol.400, issue.1-2, pp.83-94, 2011.
DOI : 10.1016/j.jhydrol.2011.01.026

R. Merz, J. Parajka, and G. Blöschl, Time stability of catchment model parameters: Implications for climate impact analyses, Water Resources Research, vol.45, issue.10, pp.10-1029, 2011.
DOI : 10.1029/2010WR009505

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.282-29010, 1970.
DOI : 10.1016/0022-1694(70)90255-6

L. Oudin, V. Andréassian, T. Mathevet, C. Perrin, and C. Michel, Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations, Water Resources Research, vol.238, issue.1-2, pp.10-1029, 2006.
DOI : 10.1029/2005WR004636

L. Oudin, V. Andréassian, C. Perrin, C. Michel, and N. L. Moine, Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments, Water Resources Research, vol.320, issue.7, pp.10-1029, 2008.
DOI : 10.1029/2007WR006240

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

C. Perrin, V. Andréassian, C. Rojas-serna, T. Mathevet, and N. L. Moine, Discrete parameterization of hydrological models: Evaluating the use of parameter sets libraries over 900 catchments, Water Resources Research, vol.320, issue.1-2, pp.10-1029, 2008.
DOI : 10.1029/2007WR006579

N. J. Potter and F. H. Chiew, An investigation into changes in climate characteristics causing the recent very low runoff in the southern Murray-Darling Basin using rainfall-runoff models, Water Resources Research, vol.37, issue.10, pp.0-1010, 2011.
DOI : 10.1029/2010WR010333

J. C. Refsgaard and J. Knudsen, Operational Validation and Intercomparison of Different Types of Hydrological Models, Water Resources Research, vol.26, issue.10, pp.2189-2202, 1996.
DOI : 10.1029/96WR00896

G. Schoups and J. A. Vrugt, A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors, Water Resources Research, vol.44, issue.8, pp.10-1029, 2010.
DOI : 10.1029/2009WR008933

J. Seibert, Reliability of model predictions outside calibration conditions, Nord. Hydrol, vol.34, issue.5, pp.477-492, 2003.

R. Singh, T. Wagener, K. Van-werkhoven, M. E. Mann, and R. Crane, A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate ??? accounting for changing watershed behavior, Hydrology and Earth System Sciences, vol.15, issue.11, pp.3591-360310, 2011.
DOI : 10.5194/hess-15-3591-2011

K. S. Tan, F. H. Chiew, R. B. Grayson, P. J. Scanlon, and L. Siriwardena, Calibration of a daily rainfall-runoff model to estimate high daily flows, MODSIM 2005 Int. Congr. on Modelling and Simulation, pp.2960-2966, 2005.

M. Thyer, D. Renard, G. Kavetski, S. W. Kuczera, S. Franks et al., Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis, Water Resources Research, vol.43, issue.1, pp.0-1410, 2009.
DOI : 10.1029/2008WR006825
URL : https://hal.archives-ouvertes.fr/hal-00456158

J. Vaze and J. Teng, Future climate and runoff projections across New South Wales, Australia: results and practical applications, Hydrological Processes, vol.11, issue.1-3), pp.18-35, 2011.
DOI : 10.1002/hyp.7812

J. Vaze, F. H. Chiew, J. Perraud, N. R. Viney, D. A. Post et al., Rainfall-runoff modelling across southeast Australia: Datasets, models and results, Aust. J. Water Resour, vol.14, issue.2, pp.101-116, 2010.

J. Vaze, D. A. Post, F. H. Chiew, J. M. Perraud, N. R. Viney et al., Climate non-stationarity ??? Validity of calibrated rainfall???runoff models for use in climate change studies, Journal of Hydrology, vol.394, issue.3-4, pp.447-457, 2010.
DOI : 10.1016/j.jhydrol.2010.09.018

S. Vicuna and J. A. Dracup, The evolution of climate change impact studies on hydrology and water resources in California, Climatic Change, vol.249, issue.1???4, pp.327-35010, 2007.
DOI : 10.1007/s10584-006-9207-2

N. R. Viney, J. Perraud, J. Vaze, F. H. Chiew, D. A. Post et al., The usefulness of bias constraints in model calibration for regionalisation to ungauged catchments, paper presented at 18th World IMACS, 2009.

R. L. Wilby, Uncertainty in water resource model parameters used for climate change impact assessment, Hydrological Processes, vol.23, issue.16, pp.3201-3219, 2005.
DOI : 10.1002/hyp.5819

C. Xu, Operational testing of a water balance model for predicting climate change impacts, Agricultural and Forest Meteorology, vol.98, issue.99, pp.98-99, 1999.
DOI : 10.1016/S0168-1923(99)00106-9