P. T. Adamson, A. V. Metcalfe, and B. Parmentier, Bivariate extreme value distributions: an application of the Gibbs sampler to the analysis of floods, Water Resources Research, vol.35, pp.2825-2832, 1999.

N. W. Arnell, Climate change and global water resources, Global Environmental Change-Human and Policy Dimensions, vol.9, pp.31-49, 1999.

T. P. Barnett, K. Hasselmann, M. Chelliah, T. Delworth, G. Hegerl et al., Detection and attribution of recent climate change: A status report, Bulletin of the American Meteorological Society, vol.80, pp.2631-2659, 1999.

J. Bernier, Statistical detection of changes in geophysical series, Engineering Risk in Natural Resources Management, vol.275, pp.159-176, 1994.

A. R. Black and J. C. Burns, Re-assessing the flood risk in Scotland, Science of the Total Environment, vol.294, pp.169-184, 2002.

P. Bloomfield, D. Et, and . Nychka, Climate Spectra and Detecting Climate Change, Climatic Change, vol.21, pp.275-287, 1992.

D. R. Brillinger, Consistent detection of a monotonic trend superposed on a stationary time series, Biometrika, vol.76, pp.23-30, 1989.

B. Ambroise, La Dynamique du Cycle de l'Eau dans un Bassin Versant -Processus, Facteurs, Modèles. 200 p. HGA, Bucarest, 1999.

V. Andréassian, C. Michel, C. Perrin, M. Tangara, and E. E. Parent, Détection de changements dans le comportement hydrologique des bassins versants : cadre méthodologique et exemples issus de l'hydrologie forèstière, 2001.

V. Andréassian, E. Parent, and C. Michel, A distribution-free test to detect gradual changes in watershed behavior, Water Resources Research, vol.39, 2003.

N. W. Arnell, Effects of IPCCSRES emissions scenarios on river runoff: a global perspective, Hydrology and Earth System Sciences, vol.7, pp.619-641, 2003.

V. K. Arora and G. J. Boer, Effects of simulated climate change on the hydrology of major river basins, Journal of Geophysical Research-Atmospheres, vol.106, pp.3335-3348, 2001.

V. Bainville, P. Et, and . Ladoy, , 1995.

, la circulaire n° 18 du 25 avril 1821. La Météorologie Volume spécial Histoire, pp.88-94

M. Bayazit, B. Et, and . Onoz, Comment on "Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test, Water Resources Research, vol.40, 2004.

G. V. Bayley and J. M. Hammersley, The effective number of independant observations in an autocorrelated time series, Journal of the Royal Statistical Society, vol.8, pp.184-197, 1946.

J. O. Berger, Statistical decision theory and bayesian analysis. 617 p, 1985.

J. Bernier, E. Parent, and J. Boreux, Statistique pour l'environnement: traitement bayésien de l'incertitude, 2000.

M. V. Birsan, P. Molnar, P. Burlando, and M. Pfaundler, Streamflow trends in Switzerland, Journal of Hydrology, vol.314, pp.312-329, 2005.

A. R. Black, Major Flooding and Increased Flood Frequency in Scotland since 1988, Physical and Chemistry of the Earth, vol.20, pp.463-468, 1996.

A. Bronstert, River Flooding in Germany: Influenced by Climatye Change?, Physical and Chemistry of the Earth, vol.20, pp.445-450, 1996.

T. A. Buishand, Some methods for testing the homogeneity of rainfall records, Journal of Hydrology, vol.58, pp.11-27, 1982.

S. Chib, Marginal Likelihood From the Gibbs Output, Journal of American Statistical Association, vol.90, pp.1313-1321, 1995.

D. H. Burn and M. A. Elnur, Detection of hydrologic trends and variability, Journal of Hydrology, vol.255, pp.107-122, 2002.

Y. Caballero, F. Habets, J. Noilhan, and J. F. Moor, Le changement climatique: étude de l'impact sur les ressources en eau du bassin Adour-Garonne, vol.88, pp.5-11, 2003.

C. Cassou, Du changement climatique aux régimes de temps: l'oscillation nordatlantique, La Météorologie, vol.45, pp.21-32, 2004.

J. L. Champeaux, A. Et, and . Tamburini, Zonage climatique de la France à partir des séries de précipitations, 1971.

M. Champion, Les inondations en France du VIe siècle à nos jours. 3000 p. Cemagref Editions, pp.1858-1864

H. Chernoff, S. Et, and . Zacks, Estimating the current mean of a normal distribution which is subjected to change in time, Annals of Mathematical Statistics, vol.35, pp.99-1018, 1964.

F. Chetail, Caractérisation des régimes de crue des cours d'eau de la région Rhône-Alpes selon l'approche QdF, 2004.

F. H. Chiew and T. A. Mcmahon, Detection of trend or change in annual flow of Australian rivers, International Journal of Climatology, vol.13, pp.643-653, 1993.

H. K. Cigizoglu, M. Bayazit, and B. Onoz, Trends in the Maximum, Mean and Low Flows of Turkish Rivers, Journal of Hydrometeorology, vol.6, pp.280-290, 2005.

S. Coles, An Introduction to Statistical Modeling of Extreme Values. 210 p, 2001.

S. Coles, L. Et, and . Pericchi, Anticipating catastrophes through extreme value modelling, Journal of the Royal Statistical Society Series C-Applied Statistics, vol.52, pp.405-416, 2003.

S. Coles, L. R. Pericchi, and E. S. Sisson, A fully probabilistic approach to extreme rainfall modelling, Journal of Hydrology, vol.273, pp.35-50, 2003.

S. G. Coles, Statistical inference: Bayesian inference, 1999.

S. G. Coles and E. A. Powell, Bayesian methods in extreme value modelling: A review and new developments, International Statistical Review, vol.64, pp.119-136, 1996.

S. G. Coles and J. A. Tawn, A Bayesian analysis of extreme rainfall data, Applied Statistics-Journal of the Royal Statistical Society Series C, vol.45, pp.463-478, 1996.

D. Cooley, Statistical Analysis of Extremes Motivated by Weather and Climate Studies: Applied and Theoretical Advances, vol.122, 2005.

D. Cooley, D. Nychka, and P. Naveau, A Spatial Bayesian Hierarchical Model for a Precipitation Return Levels Map, Extreme Value Analysis, 1966.

D. R. Cox and P. A. Lewis, The Statistical Analysis of Series of Events. 285 p, 1966.

. Ctgref, S. H. Srae, and . Diame, Synthèse nationale sur les crues des petits bassins versants. Fascicule 2 : la méthode Socose, vol.38, 1980.

, Fascicule 3 : la méthode Crupedix

J. M. Cunderlik and D. H. Burn, Non-stationary pooled frequency analysis, Journal of Hydrology, vol.276, pp.210-223, 2003.

J. M. Cunderlik and T. Ouarda, Regional flood-duration-frequency modeling in the changing environment, Journal of Hydrology, vol.318, pp.276-291, 2006.

T. Dalrymple, Flood frequency analyses. in Water-supply paper 1553-A. US Geological Survey, 1960.

W. Dansgaard, S. J. Johnsen, H. B. Clausen, D. Dahljensen, N. S. Gundestrup et al., Evidence for General Instability of Past Climate from a 250-Kyr Ice-Core Record, Nature, vol.364, pp.218-220, 1993.
URL : https://hal.archives-ouvertes.fr/hal-01103728

L. De-haan, J. Et, and . De-ronde, Sea and Wind: Multivariate Extremes at, Work. Extremes, vol.1, pp.7-45, 1998.

L. Dindar, Analyse comparative de la puissance de tests de détection de ruptures dans des séries chronologiques de débit, 2003.

E. M. Douglas, R. M. Vogel, and C. N. Kroll, Trends in floods and low flows in the United States: impact of spatial correlation, Journal of Hydrology, vol.240, pp.90-105, 2000.

D. R. Easterling, J. L. Evans, P. Y. Groisman, T. R. Karl, K. E. Kunkel et al., Observed Variability and Trends in Extreme Climate Events: A Brief Review, Bulletin of the American Meteorological Society, vol.81, pp.417-426, 2000.

P. Embrechts, C. Klüppelberg, and T. Mikosch, Modelling extremal events for insurance and finance, 1997.

P. Etchevers, C. Golaz, F. Habets, and J. Noilhan, Impact of a climate change on the Rhone river catchment hydrology, Journal of Geophysical Research-Atmospheres, vol.107, 2002.

R. A. Fisher and L. H. Tippett, Limiting forms of the frequency distribution of the largest or smallest member of a sample, Cambridge Phil. Soc, p.24, 1928.

A. Ducharne, S. Théry, P. Viennot, E. Ledoux, E. Gomez et al., Influence du changement climatique sur l'hydrologie du bassin de la Seine. VertigO -La revue en sciences de l'environnement, vol.4, pp.1-13, 2003.

S. El-adlouni, A. C. Favre, and B. Bobee, Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods. Computational Statistics and Data Analysis, 2006.

P. Frich, L. V. Alexander, P. Della-marta, B. Gleason, M. Haylock et al., Observed coherent changes in climatic extremes during the second half of the twentieth century, Climate Research, vol.19, pp.193-212, 2002.

G. Galéa, C. Et, and . Prudhomme, Notions de base et concepts utiles pour la compréhension de la modélisation synthétique des régimes de crue des bassins versants au sens des modèles QdF, Revue des Sciences de l'Eau, vol.1, pp.83-101, 1997.

R. Garcon, Overall rain-flow model for flood forecasting and pre-determination. Houille Blanche-Revue, vol.54, pp.88-95, 1999.

R. Garçon, E. Bossard, M. Lang, and S. L. Clerc, Revisiter la notion de scénario hydrologique de référence pour la caractérisation du risque d'inondation. EDF-DTG, CEMAGREF, vol.76, 2002.

L. A. Gardner, On detecting changes in the mean of normal variates. The annals of mathematical statistics, vol.40, pp.116-126, 1969.

V. Garreta, Analyse Bayésienne des débits de crue: méthodes MCMC et cas d'études. Rapport de stage de fin d'étude. Cemagref, vol.97, 2005.

A. E. Gelfand and A. F. Smith, Sampling-based approaches to calculating marginal densities, Journal of American Statistical Association, vol.85, pp.398-409, 1990.

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian data analysis, 1995.

A. Gelman, G. O. Roberts, and W. R. Gilks, Efficient Metropolis Jumping Rules. Pages 599-607 in Bayesian Statistics 5, 1996.

S. Geman, D. Et, and . Geman, Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, pp.721-741, 1984.

O. Gilard, N. Et, and . Gendreau, Inondabilité : une méthode de prévention raisonnable du risque d'inondation pour une gestion mieux intégrée des bassins versants, vol.11, pp.429-444, 1998.

E. Gombay, L. Et, and . Horvath, An Application of the Maximum-Likelihood Test to the Change-Point Problem, Stochastic Processes and Their Applications, vol.50, pp.161-171, 1994.

E. Gombay, L. Et, and . Horvath, Approximations for the time of change and the power function in change-point models, Journal of Statistical Planning and Inference, vol.52, pp.43-66, 1996.

E. Gombay, L. Et, and . Horvath, On the rate of approximations for maximum likelihood tests in change-point models, Journal of Multivariate Analysis, vol.56, pp.120-152, 1996.

E. Gombay, L. Et, and . Horvath, An application of the likelihood method to change-point detection, Environmetrics, vol.8, pp.459-467, 1997.

. Grehys, Inter-comparaison of regional flood frequency procedures for Canadian rivers, Journal of Hydrology, vol.186, pp.85-103, 1996.

. Grehys, Presentation and review of some methods for regional flood frequency analysis, Journal of Hydrology, vol.186, pp.63-84, 1996.

F. Grelot, Gestion collective des inondations : peut-on tenir compte de l'avis de la population dans la phase d'évaluation économique a priori ? Mémoire de thèse. Ecole nationale supérieure d'arts et métiers Paris, Cemagref Lyon, vol.383, 2004.

P. Y. Groisman, R. W. Knight, D. R. Easterling, T. R. Karl, G. C. Hegerl et al., Trends in intense precipitation in the climate record, Journal of Climate, vol.18, pp.1326-1350, 2005.

P. Y. Groisman, R. W. Knight, and T. R. Karl, Heavy precipitation and high streamflow in the contiguous United States: Trends in the twentieth century, Bulletin of the American Meteorological Society, vol.82, pp.219-246, 2001.

G. Gruza, E. Rankova, V. Razuvaev, and O. Bulygina, Indicators of climate chance for the Russian Federation, Climatic Change, vol.42, pp.219-242, 1999.

K. H. Hamed and A. R. Rao, A modified Mann-Kendall trend test for autocorrelated data, Journal of Hydrology, vol.204, pp.182-196, 1998.

J. Hansen, R. Ruedy, J. Glascoe, and M. Sato, GISS analysis of surface temperature change, Journal of Geophysical Research-Atmospheres, vol.104, pp.30997-31022, 1999.

K. Hasselmann, Optimal Fingerprints for the Detection of Time-Dependent Climate-Change, Journal of Climate, vol.6, pp.1957-1971, 1993.

K. Hasselmann, Conventional and Bayesian approach to climate-change detection and attribution, Quarterly Journal of the Royal Meteorological Society, vol.124, pp.2541-2565, 1998.

W. K. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, pp.97-109, 1970.

D. M. Hawkins, Testing a sequence of observations for a shift in location, Journal of the American Statistical Association, vol.72, pp.180-186, 1977.

M. Haylock, N. Et, and . Nicholls, Trends in extreme rainfall indices for an updated high quality data set for Australia, 1910-1998, International Journal of Climatology, vol.20, pp.1533-1541, 2000.

J. E. Heffernan and J. A. Tawn, A conditional approach for multivariate extreme values, Journal of the Royal Statistical Society, vol.66, pp.497-546, 2004.

K. J. Hennessy, R. Suppiah, and C. M. Page, Australian rainfall changes, 1910-1995, Australian Meteorological Magazine, vol.48, pp.1-13, 1999.

R. M. Hirsch, R. B. Alexander, and R. A. Smith, Selection of methods for the detection and estimation of trends in water quality, Water Resources Research, vol.27, pp.803-813, 1991.

H. Hisdal, K. Stahl, L. M. Tallaksen, and E. S. Demuth, Have streamflow droughts in Europe become more severe or frequent?, International Journal of Climatology, vol.21, pp.317-333, 2001.

J. A. Hoeting, D. Madigan, A. E. Raftery, and C. T. Volinsky, Bayesian model averaging: A tutorial, Statistical Science, vol.14, pp.382-401, 1999.

L. Horvath, The limit distribution of the likelihood ratio and cumulative sum tests for a change in binomial probability, Journal of Multivariate Analysis, vol.31, pp.148-159, 1989.

L. Horvath, The maximum likelihood method for testing changes in the parameters of normal observations, Annals of Statistics, vol.21, pp.671-680, 1993.

J. R. Hosking, R. W. James, and F. W. Eric, An appraisal of the regional flood frequency procedure in the UK flood studies report, Hydrological Sciences Journal, vol.30, pp.85-109, 1985.

J. R. Hosking and J. R. Wallis, The effect of intersite dependence on regional flood frequency analysis, Water Resources Research, vol.24, pp.588-600, 1988.

J. R. Hosking and J. R. Wallis, Regional Frequency Analysis: an approach based on L-Moments. 226 p, 1997.

J. C. Hourcade, Scénario d'émissions pour le XXIe siècle. Quels déterminants? Quelles incertitudes? in, 2005.

E. F. Hubbard, J. M. Landwehr, and A. R. Barker, Temporal variability in the hydrologic regimes of the United States. in. FRIEND'97 -Regional Hydrology: Concepts and Models for Sustainable Water Resource Management, pp.97-103, 1997.

P. Hubert, J. Carbonnel, and A. Chaouche, Segmentation des séries hydrométéorologiques -Application à des séries de précipitations et de débits de l'Afrique de l'Ouest, Journal of Hydrology, vol.110, pp.349-367, 1989.

. Ipcc, Climate change 2001: synthesis report, vol.408, 2001.

B. James, K. L. James, and D. Siegmund, Asymptotic Approximations for Likelihood Ratio Tests and Confidence-Regions for a Change-Point in the Mean of a Multivariate Normal-Distribution, Statistica Sinica, vol.2, pp.69-90, 1992.

D. Jaruskova, Some problems with application of change-point detection methods to environmental data, Environmetrics, vol.8, pp.469-483, 1997.

P. Javelle, Caractérisation du régime des crues: le modèle débit-durée-fréquence convergent, Approche locale et régionale. Mémoire de thèse. INP Grenoble, Cemagref Lyon. 268 p, 2001.

P. Javelle, J. M. Grésillon, and G. Galéa, Comptes Rendus de l'Académie des Sciences, Sciences de la terre et des planètes, vol.329, pp.39-44, 1999.

P. Javelle, T. Ouarda, M. Lang, B. Bobee, G. Galea et al., Development of regional flood-duration-frequency curves based on the index-flood method, Journal of Hydrology, vol.258, pp.249-259, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02580325

A. F. Jenkinson, The frequency distribution of the annual maximum (or minimum) values of meteorological elements, Quarterly Journal of the Royal Meteorological Society, vol.81, pp.158-171, 1955.

P. D. Jones, T. J. Osborn, K. R. Briffa, C. K. Folland, E. B. Horton et al., Adjusting for sampling density in grid box land and ocean surface temperature time series, Journal of Geophysical Research-Atmospheres, vol.106, pp.3371-3380, 2001.

T. R. Karl and R. W. Knight, Secular trends of precipitation amount, frequency, and intensity in the United States, Bulletin of the American Meteorological Society, vol.79, pp.231-241, 1998.

R. E. Kass and A. E. Raftery, Bayes Factors, Journal of the American Statistical Association, vol.90, pp.773-795, 1995.

R. W. Katz, M. B. Parlange, and P. Naveau, Statistics of extremes in hydrology, Advances in Water Resources, vol.25, pp.1287-1304, 2002.

D. Kavetski, G. Kuczera, and S. W. Franks, Bayesian analysis of input uncertainty in hydrological modeling: 2. Application, Water Resources Research, vol.42, 2006.

A. Kehagias, A hidden Markov model segmentation procedure for hydrological and environmental time series, Stochastic Environmental Research and Risk Assessment, vol.18, pp.117-130, 2004.

B. D. Keim and J. F. Cruise, A technique to measure trends in the frequency of discrete random events, Journal of Climate, vol.11, pp.848-855, 1998.

M. G. Kendall, . Griffin, . London, M. G. Kendall, A. Et et al., The advanced theory of statistics, vol.202, 1943.

V. V. Kharin and F. W. Zwiers, Changes in the extremes in an ensemble of transient climate simulations with a coupled atmosphere-ocean GCM, Journal of Climate, vol.13, pp.3760-3788, 2000.

V. V. Kharin and F. W. Zwiers, Change in Temperature and precipitation extreme in the IPCC AR4 multi-model ensemble, Extreme Value Analysis, 2005.

V. V. Kharin and F. W. Zwiers, Estimating extremes in transient climate change simulations, Journal of Climate, vol.18, pp.1156-1173, 2005.

V. V. Kharin, F. W. Zwiers, and X. B. Zhang, Intercomparison of near-surface temperature and precipitation extremes in AMIP-2 simulations, reanalyses, and observations, Journal of Climate, vol.18, pp.5201-5223, 2005.

H. Khodja, H. Lubès-niel, J. M. Sabatier, E. Servat, and J. E. Paturel, Analyse spatiotemporelle de données pluviométriques en Afrique de l'Ouest. Recherche d'une rupture en moyenne, Revue de Statistique Appliquée, vol.46, pp.95-110, 1998.

G. Kiely, Climate change in Ireland from precipitation and streamflow observations, Advances in Water Resources, vol.23, pp.141-151, 1999.

H. J. Kim and L. J. Cai, Robustness of the Likelihood Ratio Test for a Change in Simple Linear-Regression, Journal of the American Statistical Association, vol.88, pp.864-871, 1993.

I. Krasovskaia, L. Gottschalk, and E. E. Leblois, Signature of changing climate in river flow regimes of Rhone-Mediterranean-Corsica region, pp.25-30, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02581684

G. Kuczera, Comprehensive at-site flood frequency analysis using Monte Carlo Bayesian inference, Water Resources Research, vol.35, pp.1551-1557, 1999.

K. K. Kumar, B. Rajagopalan, and M. A. Cane, On the weakening relationship between the Indian monsoon and ENSO, Science, vol.284, pp.2156-2159, 1999.

Z. W. Kundzewicz, Searching for change in hydrological data, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.49, pp.3-6, 2004.

Z. W. Kundzewicz, D. Graczyk, T. Maurer, I. Pinskwar, M. Radziejewski et al., Trend detection in river flow series: 1. Annual maximum flow, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.50, pp.797-810, 2005.

Z. W. Kundzewicz and A. J. Robson, Detecting trend and other changes in hydrological data, vol.160, 2000.

Z. W. Kundzewicz and A. J. Robson, Change detection in hydrological records -a review of the methodology, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.49, pp.7-19, 2004.

C. W. Landsea, R. A. Pielke, A. Mestas-nunez, and J. A. Knaff, Atlantic basin hurricanes: Indices of climatic changes, Climatic Change, vol.42, pp.89-129, 1999.

M. Lang, Les chroniques en hydrologie: Modélisation comparée par un système de gestion de bases de données relationnel et orienté-objet. Traitements de base et intervalles de confiance des quantiles de crues. Techniques d'échantillonnage par la méthode du renouvellement. Mémoire de thèse, Université Joseph Fourier, vol.296, 1995.

M. Lang, Analyse probabiliste des crues pour la prévention du risque d'inondation. Habilitation à diriger des recherches, 2000.

M. Lang, T. B. Ouarda, and B. Bobée, Towards operational guidelines for overthreshold modeling, Journal of Hydrology, vol.225, pp.103-117, 1999.
URL : https://hal.archives-ouvertes.fr/hal-02578762

M. Lang, C. Perret, E. Renouf, E. Sauquet, and A. Paquier, Incertitudes sur les débits de crue, Valeurs rares et extrêmes de précipitations et de débits, pp.103-112, 2006.

M. Lang, P. F. Rasmussen, G. Oberlin, and B. Bobee, Over-threshold sampling: modeling of occurrences by renewal processes, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.3, pp.279-320, 1997.
URL : https://hal.archives-ouvertes.fr/hal-02575992

M. Lang, B. Renard, L. Dindar, F. Lemaitre, and P. Bois, Use of a statistical test based on Poisson process for the detection of changes in peak-over-threshold series, Hydrology : Science & Practice for the 21st Century, pp.158-164, 2004.
URL : https://hal.archives-ouvertes.fr/hal-02582964

L. Clerc and S. , Revisiter la notion de scénario hydrologique de référence pour la caractérisation des inondations, vol.374, 2004.

M. R. Leadbetter, Extremes and local dependence in stationary sequences, Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete, vol.65, pp.291-306, 1983.

E. Leblois, Evaluation of the possible impacts of climatic change by distributed models (Gewex-Rhone et Gicc-Rhone projects). Houille Blanche-Revue Internationale De, pp.78-83, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02581685

A. F. Lee and S. M. Heghinian, A shift of the mean level in a sequence of independant normal random variables -a Bayesian approach, Technometrics, vol.19, pp.503-506, 1977.

F. Lemaitre, Recensement des tests de détection de tendances ou de ruptures adaptés à l'analyse de stationnarité des régimes de crues en France, 2002.

D. P. Lettenmaier, A. W. Wood, R. N. Palmer, E. F. Wood, and E. Z. Stakhiv, Water resources implications of global warming: A US regional perspective, Climatic Change, vol.43, pp.537-579, 1999.

D. P. Lettenmaier, E. F. Wood, and J. R. Wallis, Hydro-Climatological Trends in the Continental United-States, 1948-88, Journal of Climate, vol.7, pp.586-607, 1994.

S. Levitus, J. I. Antonov, T. P. Boyer, and C. Stephens, Warming of the world ocean, Science, vol.287, pp.2225-2229, 2000.

G. Lindstrom, S. Et, and . Bergstrom, Runoff trends in Sweden 1807-2002, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.49, pp.69-83, 2004.

H. F. Lins and J. R. Slack, Streamflow trends in the United States, Geophysical Research Letters, vol.26, pp.227-230, 1999.

R. E. Livezey and W. Y. Chen, Statistical field significance and its determination by Monte Carlo techniques, Monthly Weather Review, vol.111, pp.46-59, 1983.

M. D. Llasat, M. Barriendos, and T. Rigo, Frequency and temporal analysis of mediterranean heavy rainfalls producing severe floods in Spain and southern France. Houille Blanche-Revue, pp.139-144, 2002.

Z. Q. Lu and L. M. Berliner, Markov switching time series models with application to a daily runoff series, Water Resources Research, vol.35, pp.523-534, 1999.

H. Lubès-niel, J. M. Masson, J. Paturel, and E. E. Servat, Variabilité climatique et statistiques. Etude par simulation de la puissance et de la robustesse de quelques tests utilisés pour vérifier l'homogénéité de chroniques, vol.3, pp.383-408, 1998.

W. Ludwig, P. Serrat, L. Cesmat, and J. Garcia-esteves, Evaluating the impact of the recent temperature increase on the hydrology of the Tet River (Southern France), Journal of Hydrology, vol.289, pp.204-221, 2004.

H. Madsen, D. Et, and . Rosbjerg, The partial duration series method in regional index-flood modeling, Water Resources Research, vol.33, pp.737-746, 1997.

H. B. Mann, Nonparametric tests against trend, Econometrica, vol.13, pp.245-259, 1945.

M. E. Mann, R. S. Bradley, and M. K. Hughes, Global-scale temperature patterns and climate forcing over the past six centuries, Nature, vol.392, pp.779-787, 1998.

M. J. Manton, P. M. Della-marta, M. R. Haylock, K. J. Hennessy, N. Nicholls et al., Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific, vol.21, pp.269-284, 2001.

K. V. Mardia, Tests of univariate and multivariate normality, 1980.

R. Maronna and V. J. Yohai, A bivariate test for the detection of a systematic change in mean, Journal of American Statistical Association, vol.73, pp.640-645, 1978.

E. S. Martins and J. R. Stedinger, Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data, Water Resources Research, vol.36, pp.737-744, 2000.

N. C. Matalas and W. B. Langbein, Information content on the mean, Journal of Geophysical Research, vol.67, pp.3441-3448, 1962.

C. A. Mcgilchrist and K. D. Woodyer, Note on a distribution-free CUSUM technique, Technometrics, vol.17, pp.321-325, 1975.

C. A. Mears and F. J. Wentz, The effect of diurnal correction on satellite-derived lower tropospheric temperature, Science, vol.309, pp.1548-1551, 2005.

O. Mestre, Méthodes statistiques pour l'homogénéisation de longues séries climatiques. Mémoire de thèse, 2000.

O. Mestre, Modélisation des paramètres de la GEV: application à l'étude des crues. in. XVIe entretiens du centre Jacques Cartier, 2003.

N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. E. Teller, Equation of state calculations by fast computing machines, Journal of chemical physics, vol.21, pp.1087-1092, 1953.

N. Metropolis, S. Et, and . Ulam, The Monte Carlo method, Journal of the American Statistical Association, vol.44, pp.335-341, 1949.

M. Meunier, Regional flow-duration-frequency model for tropical island of Martinique, Journal of Hydrology, vol.247, pp.31-53, 2001.
URL : https://hal.archives-ouvertes.fr/hal-02579726

A. Moberg, P. D. Et, and . Jones, Trends in indices for extremes in daily temperature and precipitation in central and western Europe, International Journal of Climatology, vol.25, pp.1149-1171, 2005.

J. M. Moisselin, M. Schneider, C. Canellas, and O. Mestre, Les changements climatiques en France au vingtième siècle, La Météorologie, vol.38, pp.45-56, 2002.

P. Molnar, J. A. Et, and . Ramirez, Recent trends in precipitation and streamflow in the Rio Puerco Basin, Journal of Climate, vol.14, pp.2317-2328, 2001.

E. Mosselman, Les valeurs rares et extrêmes dans la gestion des risques d'inondation aux Pays-Bas. in. Valeurs rares et extrêmes de précipitations et de débits, 2006.

R. A. Moyeed and R. T. Clarke, The use of Bayesian methods for fitting rating curves, with case studies, Advances in Water Resources, vol.28, pp.807-818, 2005.

M. Mudelsee, M. Borngen, G. Tetzlaff, and U. Grunewald, No upward trends in the occurrence of extreme floods in central Europe, Nature, vol.425, pp.166-169, 2003.

J. E. Nash and J. V. Sutcliffe, River flow forecasting through conceptual models: 1. A discussion of principles, Journal of Hydrology, vol.10, pp.257-274, 1970.

R. Naulet, M. Et, and . Lang, Critique d`un jeu de données hydrométriques pour la Diren Ilede-France, Cemagref, vol.37, 2004.

P. Naveau, D. Cooley, and P. Poncet, Spatial extremes analysis in climate studies, Extreme Value Analysis, 2005.

M. Nogaj, S. Yiou, S. Parey, F. Malek, and P. Naveau, Intensity and Frequency of Temperature Extremes over the North Atlantic Region, Geophysical Research Letters, 2006.

J. R. Olsen, J. R. Stedinger, N. C. Matalas, and E. Z. Stakhiv, Climate variability and flood frequency estimation for the Upper Mississippi and Lower Missouri Rivers, Journal of the American Water Resources Association, vol.35, pp.1509-1523, 1999.

T. B. Ouarda, C. Girard, G. Cavadias, and B. Bobee, Regional flood frequency estimation with canonical correlation analysis, Journal of Hydrology, vol.254, pp.157-173, 2001.

T. B. Ouarda, M. Lang, B. Bobee, J. Bernier, and P. Bois, Analysis of regional flood models utilized in France and Quebec, Revue des Sciences de l'Eau, vol.12, pp.155-182, 1999.
URL : https://hal.archives-ouvertes.fr/hal-02578763

E. Paquet, A new version of the hydrological model MORDOR: snowpack model at different elevations. Houille Blanche-Revue, pp.75-82, 2004.

M. Pardé, . Paris, E. Parent, J. Et, and . Bernier, Encoding prior experts judgments to improve risk analysis of extreme hydrological events via POT modeling, Fleuves et rivières. 224 p. Armand Colin, vol.283, pp.1-18, 1955.

S. Parey, F. Malek, C. Laurent, and D. Dacunha-castelle, Trends and climate evolution: statistical approach for very high temperatures in France, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01568954

C. L. Parkinson, D. J. Cavalieri, P. Gloersen, H. J. Zwally, and J. C. Comiso, Arctic sea ice extents, areas, and trends, Journal of Geophysical Research-Oceans, vol.104, pp.20837-20856, 1978.

J. E. Paturel, M. Ouedraogo, E. Servat, G. Mahe, A. Dezetter et al., The concept of rainfall and streamflow normals in West and Central Africa in a context of climatic variability, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.48, pp.125-137, 2003.

J. E. Paturel, E. Servat, B. Kouame, H. Lubes, M. Ouedraogo et al., Climatic variability in humid Africa along the Gulf of Guinea .2. An integrated regional approach, Journal of Hydrology, vol.191, pp.16-36, 1997.

L. Perreault, Analyse bayésienne rétrospective d'une rupture dans les séquences de variables aléatoires hydrologiques, 2000.

L. Perreault, J. Bernier, B. Bobee, and E. E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited, Journal of Hydrology, vol.235, pp.221-241, 2000.

L. Perreault, J. Bernier, B. Bobee, and E. E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting, Journal of Hydrology, vol.235, pp.242-263, 2000.

L. Perreault, V. Et, and . Fortin, Mixture and Hidden Markov models for peak flow analysis, Seizièmes entretiens du centre Jacques Cartier, 2003.

L. Perreault, M. Hache, M. Slivitzky, and B. Bobee, Detection of changes in precipitation and runoff over eastern Canada and US using a Bayesian approach, Stochastic Environmental Research and Risk Assessment, vol.13, pp.201-216, 1999.

L. Perreault, E. Parent, J. Bernier, B. Bobee, and M. Slivitzky, Retrospective multivariate Bayesian change-point analysis: A simultaneous single change in the mean of several hydrological sequences, Stochastic Environmental Research and Risk Assessment, vol.14, pp.243-261, 2000.

C. Perrin, Vers une amélioration d'un modèle global pluie-débit au travers d'une approche comparative. Mémoire de thèse, vol.530, 2000.

T. C. Peterson, D. R. Easterling, T. R. Karl, P. Groisman, N. Nicholls et al., Homogeneity adjustments of in situ atmospheric climate data: A review, International Journal of Climatology, vol.18, pp.1493-1517, 1998.

T. C. Peterson and R. S. Vose, An overview of the global historical climatology network temperature database, Bulletin of the American Meteorological Society, vol.78, pp.2837-2849, 1997.

A. N. Pettitt, A Non-parametric Approach to the Change-point Problem, Applied Statistics, vol.28, pp.126-135, 1979.

K. K. Phoon, S. T. Quek, and H. W. Huang, Simulation of non-Gaussian processes using fractile correlation, Probabilistic Engineering Mechanics, vol.19, pp.287-292, 2004.

J. Pickands, Statistical inference using extreme order statistics, Annals of Statistics, vol.3, pp.119-131, 1975.

E. Piervitali, M. Colacino, and M. Conte, Signals of climatic change in the centralwestern Mediterranean basin, Theoretical and Applied Climatology, vol.58, pp.211-219, 1997.

N. Plummer, M. J. Salinger, N. Nicholls, R. Suppiah, K. J. Hennessy et al., Changes in climate extremes over the Australian region and New Zealand during the twentieth century, Climatic Change, vol.42, pp.183-202, 1999.

A. M. Polansky and C. E. Check, Testing trends in environmental compliance, Journal of Agricultural Biological and Environmental Statistics, vol.7, pp.452-468, 2002.

C. Prudhomme, Modèles synthétiques des connaissances en hydrologie. Mémoire de thèse, 1995.

C. Prudhomme, D. Jakob, and C. Svensson, Uncertainty and climate change impact on the flood regime of small UK catchments, Journal of Hydrology, vol.277, pp.1-23, 2003.

M. Radziejewski, A. Bardossy, and Z. W. Kundzewicz, Detection of change in river flow using phase randomization, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.45, pp.547-558, 2000.

M. Radziejewski, Z. W. Et, and . Kundzewicz, Detectability of changes in hydrological records, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.49, pp.39-51, 2004.

M. H. Ramos, Analyse de la pluviométrie sous des systèmes nuageux convectifs. Etude de cas sur des données de la ville de Marseille et de la méthode ISIS de Météo-France, vol.165, 2002.

D. S. Reis and J. R. Stedinger, Bayesian MCMC flood frequency analysis with historical information, Journal of Hydrology, vol.313, pp.97-116, 2005.

D. S. Reis, J. R. Stedinger, and E. S. Martins, GEV Flood Quantile Estimators with Bayesian Shape-Parameter GLS Regression, 2005.

B. Renard, V. Garreta, and M. Lang, An empirical comparison of MCMC methods used in Bayesian inference. Application for regional trend estimation, 2006.

B. Renard, M. Et, and . Lang, Use of copulas for multivariate extreme value analysis: some case studies in hydrology, 2006.

B. Renard, M. Lang, and P. Bois, Statistical analysis of extreme events in a nonstationary context via a Bayesian framework, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00452224

M. Ribatet, E. Sauquet, J. M. Gresillon, and T. B. Ouarda, A regional Bayesian POT model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00232788

D. A. Robinson, K. F. Dewey, and R. R. Heim, Global Snow Cover Monitoring -an Update, Bulletin of the American Meteorological Society, vol.74, pp.1689-1696, 1993.

A. J. Robson, Evidence for trends in UK flooding, Philosophical Transactions of the Royal Society of London Series a-Mathematical Physical and Engineering Sciences, vol.360, pp.1327-1343, 2002.

A. J. Robson, T. K. Jones, D. W. Reed, and A. C. Bayliss, A study of national trend and variation in UK floods, International Journal of Climatology, vol.18, pp.165-182, 1998.

A. J. Robson and D. W. Reed, Report to MAFF Project Centre for Ecology and Hydrology, vol.63, 1996.

D. Rosbjerg, H. Et, and . Madsen, Advanced approaches in PDS/POT modelling of extreme hydrological events, Hydrology : Science & Practice for the 21st Century, pp.217-221, 2004.

G. Saporta, Probabilités, analyse des données et statistiques. 528 p, p.Technip, 1990.

E. Sauquet, Une cartographie des écoulements annuels et mensuels d'un grand bassin versant structurée par la topologie du réseau hydrographique. Mémoire de thèse, vol.356, 2000.

E. Sauquet, Examen de la stationnarité des écoulements du Rhône en lien avec la variabilité climatique et les actions humaines, Colloque technique barrages et développement durable, 2003.

M. Schalther, J. A. Et, and . Tawn, A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, vol.90, pp.139-156, 2003.

D. Schertzer, P. Bernadara, A. Biaou, I. Tchiguirinskaia, M. Lang et al., Extrêmes et multifractals en hydrologie: résultats, validations et perspectives. in. Valeurs rares et extrêmes de précipitations et de débits, pp.81-90, 2006.

C. D. Schönwiese and J. Rapp, Climate trend atlas of Europe based on observations 1891-1990. 228 p, 1997.

G. Schtroumpf, I win. Stupid bets with Cemagref friends, 2006.

A. Sen, M. S. Et, and . Srivastava, On tests for detecting change in mean, The Annals of Statistics, vol.3, pp.98-108, 1975.

P. K. Sen, Estimates of the regression coefficient based on Kendall's tau, Journal of the American Statistical Association, vol.63, pp.1379-1389, 1968.

E. Servat, J. E. Paturel, H. Lubes, B. Kouame, M. Ouedraogo et al., Climatic variability in humid Africa along the Gulf of Guinea .1. Detailed analysis of the phenomenon in Cote d'Ivoire, Journal of Hydrology, vol.191, pp.1-15, 1997.

E. Servat, J. E. Paturel, H. Lubesniel, B. Kouame, M. Travaglio et al., Regarding the reduction of flow in Western and Central Africa, Comptes Rendus de l'Academie des Sciences Serie II Fascicule a-Sciences de la Terre et des Planetes, vol.325, pp.679-682, 1997.

J. P. Severinghaus, T. Sowers, E. J. Brook, R. B. Alley, and M. L. Bender, Timing of abrupt climate change at the end of the Younger Dryas interval from thermally fractionated gases in polar ice, Nature, vol.391, pp.141-146, 1998.

A. Sharma, U. Et, and . Lall, Model averaging and its use in probabilistic forecasting of hydrological variables, Hydrology: Science & Practice for the 21st Century, pp.372-378, 2004.

S. Sherwood, J. Lanzante, and C. Meyer, Radiosonde daytime biases and late 20th century warming, Science, vol.309, 2005.

C. Shorthouse and N. W. Et, The effects of climatic variability on spatial characteristics of European river flows, Physics and Chemistry of the Earth. Part B-Hydrology Oceans and Atmosphere, vol.24, pp.7-13, 1999.

R. L. Smith, Extreme value analysis of environmental time series:an application to trend detection in ground-level ozone, Statistical Science, vol.4, pp.367-393, 1989.

T. M. Smith and R. W. Reynolds, A global merged land and sea surface temperature reconstruction based on historical observations (1880-1997), Journal of Climate, vol.18, pp.2021-2036, 2005.

B. Spagnoli, S. Planton, M. Deque, O. Mestre, and J. M. Moisselin, Detecting climate change at a regional scale: The case of France, Geophysical Research Letters, vol.29, 2002.

D. A. Stainforth, T. Aina, C. Christensen, M. Collins, N. Faull et al., Uncertainty in predictions of the climate response to rising levels of greenhouse gases, Nature, vol.433, pp.403-406, 2005.

J. R. Stedinger, Estimating a regional flood frequency distribution, Water Resources Research, vol.19, pp.503-510, 1983.

I. T. Stewart, D. R. Cayan, and M. D. Dettinger, Changes toward earlier streamflow timing across western North America, Journal of Climate, vol.18, pp.1136-1155, 2005.

P. A. Stott, S. F. Tett, G. S. Jones, M. Allen, J. F. Mitchell et al., External control of twentieth century temperature variations by natural and anthropogenic forcings, Science, vol.290, pp.2133-2137, 2000.

W. G. Strupczewski and Z. Kaczmarek, Non-stationary approach to at-site flood frequency modelling II. Weighted least squares estimation, Journal of Hydrology, vol.248, pp.143-151, 2001.

W. G. Strupczewski, V. P. Singh, and E. W. Feluch, Non-stationary approach to at-site flood frequency modelling I. Maximum likelihood estimation, Journal of Hydrology, vol.248, pp.123-142, 2001.

L. M. Tallaksen and H. A. Van-lanen, Hydrological Drought: processes and estimation methods for streamflow and groundwater. 580 p, 2004.

A. Tank, G. P. Et, and . Konnen, Trends in indices of daily temperature and precipitation extremes in Europe, Journal of Climate, vol.16, pp.3665-3680, 2003.

A. Tank, G. P. Konnen, and F. M. Selten, Signals of anthropogenic influence on European warming as seen in the trend patterns of daily temperature variance, International Journal of Climatology, vol.25, pp.1-16, 2005.

D. Tapsoba, M. Hache, L. Perreault, and B. Bobee, Bayesian Rainfall Variability Analysis in West Africa along Cross Sections in Space-Time grid Boxes, Journal of Climate, vol.17, pp.1069-1082, 2004.

J. A. Tawn, Modelling multivariate extreme value distributions, Biometrika, vol.77, pp.245-253, 1990.

M. Thyer, G. Et, and . Kuczera, Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model, Water Resources Research, vol.36, pp.3301-3310, 2000.

M. Thyer, G. Et, and . Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach, Journal of Hydrology, vol.275, pp.12-26, 2003.

M. Thyer, G. Et, and . Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2. Real data analysis, Journal of Hydrology, vol.275, pp.27-48, 2003.

M. Thyer, G. Kuczera, and Q. J. Wang, Quantifying parameter uncertainty in stochastic models using the Box-Cox transformation, Journal of Hydrology, vol.265, pp.246-257, 2002.

C. Vincent, Influence of climate change on French glaciers mass balance over the 20th century. Houille Blanche-Revue, pp.20-24, 2002.

C. Vincent, G. Kappenberger, F. Valla, A. Bauder, M. Funk et al., Ice ablation as evidence of climate change in the Alps over the 20th century, Journal of Geophysical Research-Atmospheres, vol.109, 2004.

V. Storch, H. Et, and A. Navarra, Analysis of Climate Variability, 1999.

R. Voss, W. May, and E. Roeckner, Enhanced resolution modelling study on anthropogenic climate change: Changes in extremes of the hydrological cycle, International Journal of Climatology, vol.22, pp.755-777, 2002.

Q. J. Wang, A Bayesian joint probability approach for flood record augmentation, Water Resources Research, vol.37, pp.1707-1712, 2001.

S. L. Wang, H. J. Jin, S. X. Li, and L. Zhao, Permafrost degradation on the Qinghai-Tibet Plateau and its environmental impacts, Permafrost and Periglacial Processes, vol.11, pp.43-53, 2000.

A. Werritty, Living with uncertainty: climate change, river flows and water resource management in Scotland, Science of the Total Environment, vol.294, pp.29-40, 2002.

R. T. Wetherald and S. Manabe, Detectability of summer dryness caused by greenhouse warming, Climatic Change, vol.43, pp.495-511, 1999.

W. A. Woodward and H. L. Gray, Global Warming and the Problem of Testing for Trend in Time Series Data, Journal of Climate, vol.6, pp.953-962, 1993.

K. J. Worsley, On the likelihood ration test for a shift in location of normal populations, Journal of American Statistical Association, vol.74, pp.365-367, 1979.

K. J. Worsley, The power of likelihood ratio and cumulative sum tests for a change in a binomial probability, Biometrika, vol.70, pp.455-464, 1983.

A. Yagouti, I. Abi-zeid, T. B. Ouarda, and B. Bobee, Revue de processus ponctuels et synthèse de tests statistiques pour le choix d'un type de processus, vol.14, pp.323-361, 2001.

F. Yoshino, Studies on the characteristics of variation and spatial correlation of the long-term annual runoff in the world rivers, Journal of the Japanese Society for Hydrology and Water Resources, vol.12, pp.109-120, 1999.

S. Yue, P. Et, and . Pilon, Interaction between deterministic trend and autoregressive process, Water Resources Research, vol.39, 2003.

S. Yue, P. Et, and . Pilon, A comparison of the power of the t test, Mann-Kendall and bootstrap tests for trend detection, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.49, pp.21-37, 2004.

S. Yue, P. Pilon, and G. Cavadias, Corrigendum to "Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series, Journal of Hydrology, vol.259, pp.262-263, 2002.

S. Yue, P. Pilon, and G. Cavadias, Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series, Journal of Hydrology, vol.259, pp.254-271, 2002.

S. Yue, P. Pilon, and B. Phinney, Canadian streamflow trend detection: impacts of serial and cross-correlation, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.48, pp.51-63, 2003.

S. Yue, P. Pilon, B. Phinney, and G. Cavadias, The influence of autocorrelation on the ability to detect trend in hydrological series, Hydrological Processes, vol.16, pp.1807-1829, 2002.

S. Yue, C. Y. Et, and . Wang, Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test, Water Resources Research, vol.38, 2002.

L. Zeng, P. J. Et, and . Kelly, A preliminary investigation of the trend of flood events in the United States. in. National Association of Real Estate Investment Managers Senior Officer Property Insurance Forum, 1997.

P. M. Zhai, A. J. Sun, F. M. Ren, X. N. Liu, B. Gao et al., Chances of climate extremes in China, Climatic Change, vol.42, pp.203-218, 1999.

X. B. Zhang, L. A. Vincent, W. D. Hogg, and E. A. Niitsoo, Temperature and precipitation trends in Canada during the 20th century, Atmosphere-Ocean, vol.38, pp.395-429, 2000.

X. B. Zhang and F. W. Zwiers, Comment on "Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test, Water Resources Research, vol.40, 2004.

X. B. Zhang, F. W. Zwiers, and G. L. Li, Monte Carlo experiments on the detection of trends in extreme values, Journal of Climate, vol.17, pp.1945-1952, 2004.

F. W. Zwiers and V. V. Kharin, Changes in the extremes of the climate simulated by CCC GCM2 under CO2 doubling, Journal of Climate, vol.11, pp.2200-2222, 1998.

F. W. Zwiers and X. B. Zhang, Toward regional-scale climate change detection, Journal of Climate, vol.16, pp.793-797, 2003.

S. Yue, C. Y. Et, and . Wang, Regional streamflow trend detection with consideration of both temporal and spatial correlation, International Journal of Climatology, vol.22, pp.933-946, 2002.

S. Yue, C. Y. Et, and . Wang, The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series, Water Resources Management, vol.18, pp.201-218, 2004.

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. Vi and . Bibliography,

J. Bernier, Statistical detection of changes in geophysical series, Engineering Risk in Natural Resources Management, vol.275, pp.159-176, 1994.

P. Bortot, S. Coles, and J. A. Tawn, The multivariate Gaussian tail model: an application to oceanographic data, Applied Statistics, vol.49, pp.31-49, 2000.

T. A. Buishand, Extreme Rainfall Estimation by Combining Data from Several Sites, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol.36, pp.345-365, 1991.

S. Chib, Marginal Likelihood From the Gibbs Output, Journal of American Statistical Association, vol.90, pp.1313-1321, 1995.

S. Coles, An Introduction to Statistical Modeling of Extreme Values, vol.210, 2001.

S. Coles and L. Pericchi, Anticipating catastrophes through extreme value modelling, Journal of the Royal Statistical Society Series C-Applied Statistics, vol.52, pp.405-416, 2003.

S. Coles, L. R. Pericchi, and S. Sisson, A fully probabilistic approach to extreme rainfall modelling, Journal of Hydrology, vol.273, pp.35-50, 2003.

S. Coles and J. A. Tawn, Statistics of coastal flood prevention, Philosophical Transactions of the Royal Society of London Series a -Mathematical Physical and Engineering Sciences, vol.332, pp.457-476, 1990.

S. G. Coles and J. A. Tawn, A Bayesian analysis of extreme rainfall data, Applied Statistics-Journal of the Royal Statistical Society Series C, vol.45, pp.463-478, 1996.

D. Cooley, Statistical Analysis of Extremes Motivated by Weather and Climate Studies: Applied and Theoretical Advances, vol.122, 2005.

T. Dalrymple, Flood frequency analyses. in Water-supply paper 1553-A. US Geological Survey, 1960.

L. De-haan and T. T. Pereira, Spatial extremes: Models for the stationary case, Annals of Statistics, vol.34, pp.146-168, 2006.

S. El-adlouni, A. C. Favre, and B. Bobee, Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods. Computational Statistics and Data Analysis, 2006.

A. C. Favre, S. E. Adlouni, L. Perreault, N. Thiemonge, and B. Bobee, Multivariate hydrological frequency analysis using copulas, Water Resources Research, vol.40, 2004.

R. A. Fisher and L. H. Tippett, Limiting forms of the frequency distribution of the largest or smallest member of a sample, Cambridge Phil. Soc, p.24, 1928.

A. E. Gelfand and A. F. Smith, Sampling-based approaches to calculating marginal densities, Journal of American Statistical Association, vol.85, pp.398-409, 1990.

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian data analysis. C. Hall. 526 p, 1995.

A. Gelman, G. O. Roberts, and W. R. Gilks, Efficient Metropolis Jumping Rules. Pages 599-607 in Bayesian Statistics 5, 1996.

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, pp.721-741, 1984.

W. R. Gilks, N. G. Best, and K. K. Tan, Adaptive Rejection Metropolis Sampling within Gibbs Sampling, Applied Statistics-Journal of the Royal Statistical Society Series C, vol.44, pp.455-472, 1995.

W. R. Gilks and P. Wild, Adaptive Rejection Sampling for Gibbs Sampling, Applied Statistics-Journal of the Royal Statistical Society Series C, vol.41, pp.337-348, 1992.

H. Haario, E. Saksman, and J. Tamminen, An adaptive Metropolis algorithm, Bernoulli, vol.7, pp.223-242, 2001.

H. Haario, E. Saksman, and J. Tamminen, Componentwise adaptation for high dimensional MCMC, Computational Statistics, vol.20, pp.265-273, 2005.

W. K. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, pp.97-109, 1970.

J. A. Hoeting, D. Madigan, A. E. Raftery, and C. T. Volinsky, Bayesian model averaging: A tutorial, Statistical Science, vol.14, pp.382-401, 1999.

J. R. Hosking and J. R. Wallis, The effect of intersite dependence on regional flood frequency analysis, Water Resources Research, vol.24, pp.588-600, 1988.

J. R. Hosking and J. R. Wallis, Regional Frequency Analysis: an approach based on L-Moments. 226 p, 1997.

A. F. Jenkinson, The frequency distribution of the annual maximum (or minimum) values of meteorological elements, Quarterly Journal of the Royal Meteorological Society, vol.81, pp.158-171, 1955.

R. E. Kass and A. E. Raftery, Bayes Factors, Journal of the American Statistical Association, vol.90, pp.773-795, 1995.

R. W. Katz, M. B. Parlange, and P. Naveau, Statistics of extremes in hydrology, Advances in Water Resources, vol.25, pp.1287-1304, 2002.

H. Khodja, H. Lubès-niel, J. M. Sabatier, E. Servat, and J. E. Paturel, Analyse spatiotemporelle de données pluviométriques en Afrique de l'Ouest. Recherche d'une rupture en moyenne, Revue de Statistique Appliquée, vol.46, pp.95-110, 1998.

A. F. Lee and S. M. Heghinian, A shift of the mean level in a sequence of independant normal random variables -a Bayesian approach, Technometrics, vol.19, pp.503-506, 1977.

Z. Q. Lu and L. M. Berliner, Markov switching time series models with application to a daily runoff series, Water Resources Research, vol.35, pp.523-534, 1999.

H. Madsen and D. Rosbjerg, The partial duration series method in regional indexflood modeling, Water Resources Research, vol.33, pp.737-746, 1997.

L. Marshall, D. Nott, and A. Sharma, A comparative study of Markov chain Monte Carlo methods for conceptual rainfall-runoff modeling, Water Resources Research, vol.40, 2004.

E. S. Martins and J. R. Stedinger, Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data, Water Resources Research, vol.36, pp.737-744, 2000.

N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, Equation of state calculations by fast computing machines, Journal of chemical physics, vol.21, pp.1087-1092, 1953.

N. Metropolis and S. Ulam, The Monte Carlo method, Journal of the American Statistical Association, vol.44, pp.335-341, 1949.

R. A. Moyeed and R. T. Clarke, The use of Bayesian methods for fitting rating curves, with case studies, Advances in Water Resources, vol.28, pp.807-818, 2005.

P. Naveau, D. Cooley, and P. Poncet, Spatial extremes analysis in climate studies, Extreme Value Analysis, 2005.

T. B. Ouarda, M. Lang, B. Bobee, J. Bernier, and P. Bois, Analysis of regional flood models utilized in France and Quebec, Revue des Sciences de l'Eau, vol.12, pp.155-182, 1999.
URL : https://hal.archives-ouvertes.fr/hal-02578763

E. Parent and J. Bernier, Encoding prior experts judgments to improve risk analysis of extreme hydrological events via POT modeling, Journal of Hydrology, vol.283, pp.1-18, 2003.

L. Perreault, Analyse bayésienne rétrospective d'une rupture dans les séquences de variables aléatoires hydrologiques, 2000.

L. Perreault, J. Bernier, B. Bobee, and E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited, Journal of Hydrology, vol.235, pp.221-241, 2000.

L. Perreault, J. Bernier, B. Bobee, and E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting, Journal of Hydrology, vol.235, pp.242-263, 2000.

L. Perreault and V. Fortin, Mixture and Hidden Markov models for peak flow analysis, Seizièmes entretiens du centre Jacques Cartier, 2003.

L. Perreault, M. Hache, M. Slivitzky, and B. Bobee, Detection of changes in precipitation and runoff over eastern Canada and US using a Bayesian approach, Stochastic Environmental Research and Risk Assessment, vol.13, pp.201-216, 1999.

L. Perreault, E. Parent, J. Bernier, B. Bobee, and M. Slivitzky, Retrospective multivariate Bayesian change-point analysis: A simultaneous single change in the mean of several hydrological sequences, Stochastic Environmental Research and Risk Assessment, vol.14, pp.243-261, 2000.

D. S. Reis and J. R. Stedinger, Bayesian MCMC flood frequency analysis with historical information, Journal of Hydrology, vol.313, pp.97-116, 2005.

B. Renard, M. Lang, and P. Bois, Statistical analysis of extreme events in a nonstationary context via a Bayesian framework, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00452224

M. Ribatet, E. Sauquet, J. M. Gresillon, and T. B. Ouarda, A regional Bayesian POT model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00232788

C. Ritter and M. A. Tanner, Facilitating the Gibbs Sampler -the Gibbs Stopper and the Griddy-Gibbs Sampler, Journal of the American Statistical Association, vol.87, pp.861-868, 1992.

G. O. Roberts and W. R. Gilks, Convergence of Adaptive Direction Sampling, Journal of Multivariate Analysis, vol.49, pp.287-298, 1994.

M. Schalther and J. A. Tawn, A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, vol.90, pp.139-156, 2003.

J. R. Stedinger, Estimating a regional flood frequency distribution, Water Resources Research, vol.19, pp.503-510, 1983.

M. A. Tanner, Tools for Statistical Inference, 1996.

D. Tapsoba, M. Hache, L. Perreault, and B. Bobee, Bayesian Rainfall Variability Analysis in West Africa along Cross Sections in Space-Time grid Boxes, Journal of Climate, vol.17, pp.1069-1082, 2004.

M. Thyer and G. Kuczera, Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model, Water Resources Research, vol.36, pp.3301-3310, 2000.

M. Thyer and G. Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach, Journal of Hydrology, vol.275, pp.12-26, 2003.

M. Thyer and G. Kuczera, A hidden Markov model for modelling long-term persistence in multi-site rainfall time series. 2. Real data analysis, Journal of Hydrology, vol.275, pp.27-48, 2003.

M. Thyer, G. Kuczera, and Q. J. Wang, Quantifying parameter uncertainty in stochastic models using the Box-Cox transformation, Journal of Hydrology, vol.265, pp.246-257, 2002.

L. Tierney, Markov-Chains for Exploring Posterior Distributions, Annals of Statistics, vol.22, pp.1701-1728, 1994.

L. Tierney, Markov-Chains for Exploring Posterior Distributions -Rejoinder, Annals of Statistics, vol.22, pp.1758-1762, 1994.

L. Tierney and A. Mira, Some adaptive Monte Carlo methods for Bayesian inference, Statistics in Medicine, vol.18, pp.2507-2515, 1999.

Q. J. Wang, A Bayesian joint probability approach for flood record augmentation, Water Resources Research, vol.37, pp.1707-1712, 1960.

P. T. Adamson, A. V. Metcalfe, and B. Parmentier, Bivariate extreme value distributions: an application of the Gibbs sampler to the analysis of floods, Water Resources Research, vol.35, pp.2825-2832, 1999.

N. H. Bingham, C. M. Goldie, and J. L. Teugels, Regular variation, 1987.

P. Bortot, S. Coles, and J. A. Tawn, The multivariate Gaussian tail model: an application to oceanographic data, Appl. Statis, vol.49, pp.31-49, 2000.

P. Caperaa, A. L. Fougeres, and C. Genest, Bivariate distributions with given extreme value attractor, J. Multivar. Anal, vol.72, pp.30-49, 2000.

U. Cherubuni, E. Luciano, and W. Vecchiato, Copula Methods in Finance, 2004.

S. Coles, An Introduction to Statistical Modeling of Extreme Values, 2001.

S. Coles, J. E. Heffernan, and J. A. Tawn, Dependence measures for extreme value analyses, Extremes, vol.2, pp.339-365, 1999.

S. Coles and J. A. Tawn, Modelling extreme multivariate events, J. R. Stat. Soc. Ser. B-Methodol, vol.53, pp.377-392, 1991.

D. Cooley, Statistical Analysis of Extremes Motivated by Weather and Climate Studies: Applied and Theoretical Advances, 2005.

D. Cooley, D. Nychka, and P. Naveau, A Spatial Bayesian Hierarchical Model for a Precipitation Return Levels Map, Extreme Value Analysis, 2005.

T. Dalrymple, Flood frequency analyses, Water-supply paper 1543-A: US Geological Survey, 1960.

L. De-haan, D. Ronde, J. Sea, and . Wind, Multivariate Extremes at Work. Extremes, vol.1, pp.7-45, 1998.

C. De-michele, G. Salvadori, M. Canossi, A. Petaccia, and R. Rosso, Bivariate statistical approach to check adequacy of dam spillway, J. Hydrol. Eng, vol.10, pp.50-57, 2005.

P. J. Diggle, J. A. Tawn, and R. A. Moyeed, Model-based geostatistics, J. R. Stat. Soc. Ser. C-Appl. Stat, vol.47, pp.299-326, 1998.

E. M. Douglas, R. M. Vogel, and C. N. Kroll, Trends in floods and low flows in the United States: impact of spatial correlation, J. Hydrol, vol.240, pp.90-105, 2000.

D. S. Faulkner and D. A. Jones, The FORGEX method of rainfall growth estimation -III: Examples and confidence intervals, Hydrol. Earth Syst. Sci, vol.3, pp.205-212, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00304493

A. C. Favre, S. El-adlouni, L. Perreault, N. Thiemonge, and B. Bobee, Multivariate hydrological frequency analysis using copulas, Water Resources Research, vol.40, 2004.

R. A. Fisher and L. H. Tippett, Limiting forms of the frequency distribution of the largest or smallest member of a sample, Cambridge Phil. Soc, p.24, 1928.

G. Galéa and C. Prudhomme, Notions de base et concepts utiles pour la compréhension de la modélisation synthétique des régimes de crue des bassins versants au sens des modèles, QdF. Rev. Sci. Eau, vol.1, pp.83-101, 1997.

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian data analysis, 1995.

C. Genest and J. Mckay, The joy of copulas: bivariate distributions with uniform marginals, The American Statistician, vol.40, pp.280-283, 1986.

C. Genest and L. Rivest, A characterization of Gumbel's family of extreme value distributions, Statistics and Probability Letters, vol.8, pp.207-211, 1989.

S. Grimaldi and F. Serinaldi, Asymmetric copula in multivariate flood frequency analysis, Adv. Water Resour, vol.29, pp.1155-1167, 2006.

J. E. Heffernan and J. A. Tawn, A conditional approach for multivariate extreme values, Journal of the Royal Statistical Society, vol.66, pp.497-546, 2004.

H. D. Herr and R. Krzysztofowicz, Generic probability distribution of rainfall in space: the bivariate model, J. Hydrol, vol.306, pp.234-263, 2005.

J. Hosking and J. R. Wallis, The effect of intersite dependence on regional flood frequency analysis, Water Resources Research, vol.24, pp.588-600, 1988.

J. Hosking and J. R. Wallis, Regional Frequency Analysis: an approach based on L-Moments, 1997.

P. Javelle, Caractérisation du régime des crues: le modèle débit-durée-fréquence convergent, Approche locale et régionale, 2001.

P. Javelle, J. M. Grésillon, and G. Galéa, Comptes Rendus de l'Académie des Sciences, Sciences de la terre et des planètes, vol.329, pp.39-44, 1999.

P. Javelle, T. Ouarda, M. Lang, B. Bobee, G. Galéa et al., Development of regional flood-duration-frequency curves based on the index-flood method, J. Hydrol, vol.258, pp.249-259, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02580325

R. W. Katz, M. B. Parlange, and P. Naveau, Statistics of extremes in hydrology, Adv. Water Resour, vol.25, pp.1287-1304, 2002.

K. S. Kelly and R. Krzysztofowicz, A bivariate meta-Gaussian density for use in hydrology, Stoch. Hydrol. Hydraul, vol.11, pp.17-31, 1997.

M. G. Kendall, Rank correlation methods, 1975.

L. Clerc and S. , Revisiter la notion de scénario hydrologique de référence pour la caractérisation des inondations, 2004.

L. Clerc, S. Lang, and M. , Flood frequency analysis downstream confluences. Comparison between bivariate densities and experimental data, International conference on flood estimation, pp.295-304, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02581479

D. P. Lettenmaier, E. F. Wood, and J. R. Wallis, Hydro-Climatological Trends in the Continental United-States, 1948-88, J. Climate, vol.7, pp.586-607, 1994.

R. E. Livezey and W. Y. Chen, Statistical field significance and its determination by Monte Carlo techniques, Monthly Weather Review, vol.111, pp.46-59, 1983.

H. Madsen and D. Rosbjerg, The partial duration series method in regional index-flood modeling, Water Resources Research, vol.33, pp.737-746, 1997.

H. B. Mann, Nonparametric tests against trend, Econometrica, vol.13, pp.245-259, 1945.

K. V. Mardia, Tests of univariate and multivariate normality, pp.279-320, 1980.

L. Marshall, D. Nott, and A. Sharma, A comparative study of Markov chain Monte Carlo methods for conceptual rainfall-runoff modeling, Water Resources Research, vol.40, 2004.

E. S. Martins and J. R. Stedinger, Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data, Water Resources Research, vol.36, pp.737-744, 2000.

N. C. Matalas and W. B. Langbein, Information content on the mean, Journal of Geophysical Research, vol.67, pp.3441-3448, 1962.

M. Meunier, Regional flow-duration-frequency model for tropical island of Martinique, J. Hydrol, vol.247, pp.31-53, 2001.
URL : https://hal.archives-ouvertes.fr/hal-02579726

T. Mikosch, How to model multivariate extremes if one must?, Stat. Neerl, vol.59, pp.324-338, 2005.

N. S. Mousavi, Composition des lois élémentaires en hydrologie régionale : application à l'étude des régimes de crue, 1997.

L. Perreault, J. Bernier, B. Bobee, and E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited, J. Hydrol, vol.235, pp.221-241, 2000.

L. Perreault, J. Bernier, B. Bobee, and E. Parent, Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting, J. Hydrol, vol.235, pp.242-263, 2000.

K. K. Phoon, S. T. Quek, and H. W. Huang, Simulation of non-Gaussian processes using fractile correlation, Probab. Eng. Eng. Mech, vol.19, pp.287-292, 2004.

C. Prudhomme, Modèles synthétiques des connaissances en hydrologie, 1995.

D. W. Reed, D. S. Faulkner, and E. J. Stewart, The FORGEX method of rainfall growth estimation -II: Description, Hydrol. Earth Syst. Sci, vol.3, pp.197-203, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00304492

D. W. Reed and E. J. Stewart, Inter-site and inter-duration dependence in rainfall extremes, Water related issues, vol.2, pp.125-143, 1994.

B. Renard, V. Garreta, and M. Lang, An application of Bayesian analysis and MCMC methods to the estimation of a regional trend in annual maxima, 2006.

G. Salvadori and C. De-michele, Frequency analysis via copulas: Theoretical aspects and applications to hydrological events, Water Resources Research, vol.40, 2004.

M. Schalther and J. A. Tawn, A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, vol.90, pp.139-156, 2003.

A. Sklar, Fonctions de répartition à n dimensions et leurs marges, Publ. Inst. Stat. Univ. Paris, vol.8, pp.229-231, 1959.

P. Song, Multivariate dispersion models generated from Gaussian copula. Scand, J. Stat, vol.27, pp.305-320, 2000.

J. R. Stedinger, Estimating a regional flood frequency distribution, Water Resources Research, vol.19, pp.503-510, 1983.

E. J. Stewart, D. W. Reed, D. S. Faulkner, and N. S. Reynard, The FORGEX method of rainfall growth estimation -I: Review of requirement, Hydrol. Earth Syst. Sci, vol.3, pp.187-195, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00304490

J. A. Tawn, Modelling multivariate extreme value distributions, Biometrika, vol.77, pp.245-253, 1990.

M. Thyer, G. Kuczera, and Q. J. Wang, Quantifying parameter uncertainty in stochastic models using the Box-Cox transformation, J. Hydrol, vol.265, pp.246-257, 2002.

B. M. Troutman and M. R. Karlinger, Regional flood probabilities, Water Resources Research, vol.39, 2003.

S. Yue and C. Y. Wang, Regional streamflow trend detection with consideration of both temporal and spatial correlation, Int. J. Climatol, vol.22, pp.933-946, 2002.