A. Aghakouchak, A. Bardossy, and E. Habib, Copula-based uncertainty modelling: application to multisensor precipitation estimates, Hydrological Processes, pp.2111-2124, 2010.

H. Akaike, A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974.
DOI : 10.1109/TAC.1974.1100705

L. V. Alexander, P. Uotila, and N. Nicholls, Influence of sea surface temperature variability on global temperature and precipitation extremes, Journal of Geophysical Research, vol.79, issue.D14, 2009.
DOI : 10.1029/2009JD012301

P. Arnaud and J. Lavabre, Using a stochastic model for generating hourly hyetographs to study extreme rainfalls, Hydrological Sciences Journal, vol.410, issue.3, pp.433-446, 1999.
DOI : 10.1029/WR021i004p00511

S. K. Aryal, B. C. Bates, E. P. Campbell, Y. Li, M. J. Palmer et al., Characterizing and Modeling Temporal and Spatial Trends in Rainfall Extremes, Journal of Hydrometeorology, vol.10, issue.1, pp.241-253, 2009.
DOI : 10.1175/2008JHM1007.1

A. A. Balkema and L. De-haan, Residual life time at great age, The Annals of Probability, pp.792-804, 1974.

A. Bardossy and G. G. Pegram, Copula based multisite model for daily precipitation simulation, Hydrology and Earth System Sciences, pp.2299-2314, 2009.

A. G. Barnston and R. E. Livezey, Classification, seasonality and persistence of lowfrequency atmospheric circulation patterns Mon Weather Rev, pp.1083-1126, 1987.

B. C. Bates, A. Rahman, R. G. Mein, and P. W. Weinmann, Climatic and physical factors that influence the homogeneity of regional floods in southeastern Australia, Water Resources Research, vol.122, issue.4, pp.3369-3381, 1998.
DOI : 10.1029/98WR02521

J. O. Berger, Statistical decision theory and Bayesian analysis, 1985.
DOI : 10.1007/978-1-4757-4286-2

J. Blanchet and A. C. Davison, Spatial modeling of extreme snow depth, The Annals of Applied Statistics, vol.5, issue.3, pp.1699-1725, 2011.
DOI : 10.1214/11-AOAS464SUPP

J. Boe, L. Terray, F. Habets, and E. Martin, A simple statistical-dynamical downscaling scheme based on weather types and conditional resampling, Journal of Geophysical Research-Atmospheres, issue.D23, pp.111-23106, 2006.

M. O. Boldi and A. C. Davison, A mixture model for multivariate extremes, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.39, issue.2, pp.217-229, 2007.
DOI : 10.1111/1467-9868.00095

W. Boughton and O. Droop, Continuous simulation for design flood estimation???a review, Environmental Modelling & Software, vol.18, issue.4, pp.309-318, 2003.
DOI : 10.1016/S1364-8152(03)00004-5

P. Brigode, Changement climatique et risque hydrologique: évaluation de la méthode SCHADEX en contexte non-stationnaire, 2013.

P. J. Brockwell and R. A. Davis, Time series: theory and methods, 2006.

M. Brunetti, M. Maugeri, and T. Nanni, Changes in total precipitation, rainy days and extreme events in northeastern Italy, International Journal of Climatology, vol.39, issue.7, pp.861-871, 2001.
DOI : 10.1002/joc.660

K. P. Burnham and D. R. Anderson, Model selection and multi-model inference: a practical information-theoretic approach, 2002.

W. Cai, P. Van-rensch, T. Cowan, and A. Sullivan, Asymmetry in ENSO Teleconnection with Regional Rainfall, Its Multidecadal Variability, and Impact, Journal of Climate, vol.23, issue.18, pp.4944-4955, 2010.
DOI : 10.1175/2010JCLI3501.1

W. Cai, P. Van-rensch, T. Cowan, and H. H. Hendon, An Asymmetry in the IOD and ENSO Teleconnection Pathway and Its Impact on Australian Climate, Journal of Climate, vol.25, issue.18, pp.25-6318, 2012.
DOI : 10.1175/JCLI-D-11-00501.1

A. F. Castello and M. L. Shelton, Winter precipitation on the US Pacific coast and El Ni??o???southern oscillation events, International Journal of Climatology, vol.24, issue.4, pp.481-497, 2004.
DOI : 10.1002/joc.1011

D. R. Cayan, K. T. Redmond, and L. G. Riddle, ENSO and Hydrologic Extremes in the Western United States*, ENSO and hydrologic extremes in the western United States, pp.2881-2893, 1999.
DOI : 10.1175/1520-0442(1999)012<2881:EAHEIT>2.0.CO;2

J. M. Chen, T. Li, and C. F. Shih, Asymmetry of the El Ni??o-Spring Rainfall Relationship in Taiwan, Journal of the Meteorological Society of Japan, vol.86, issue.2, pp.297-312, 2008.
DOI : 10.2151/jmsj.86.297

J. U. Chowdhury, J. R. Stedinger, and L. H. Lu, Goodness-of-fit tests for regional generalized extreme value flood distributions, Water Resources Research, vol.84, issue.3, pp.1765-1776, 1991.
DOI : 10.1029/91WR00077

T. A. Cohn, W. L. Lane, and J. R. Stedinger, Confidence intervals for expected moments algorithm flood quantile estimates, Confidence intervals for Expected Moments Algorithm flood quantile estimates, pp.1695-1706, 2001.
DOI : 10.1029/2001WR900016

S. Coles, An introduction to statistical modeling of extreme values, 2001.
DOI : 10.1007/978-1-4471-3675-0

S. Coles, L. R. Pericchi, and S. Sisson, A fully probabilistic approach to extreme rainfall modeling, Journal of Hydrology, vol.273, issue.1-4, pp.1-4, 2003.
DOI : 10.1016/S0022-1694(02)00353-0

D. Cooley, Return Periods and Return Levels Under Climate Change, Extremes in a Changing Climate, pp.97-114, 2013.
DOI : 10.1007/978-94-007-4479-0_4

D. Cooley, D. Nychka, and P. Naveau, Bayesian Spatial Modeling of Extreme Precipitation Return Levels, Journal of the American Statistical Association, vol.102, issue.479, pp.824-840, 2007.
DOI : 10.1198/016214506000000780

J. M. Cunderlik and D. H. Burn, Non-stationary pooled flood frequency analysis, Journal of Hydrology, vol.276, issue.1-4, pp.1-4, 2003.
DOI : 10.1016/S0022-1694(03)00062-3

S. Curtis, A. Salahuddin, R. F. Adler, G. J. Huffman, G. J. Gu et al., Precipitation Extremes Estimated by GPCP and TRMM: ENSO Relationships, Journal of Hydrometeorology, vol.8, issue.4, pp.678-689, 2007.
DOI : 10.1175/JHM601.1

A. Dai and T. M. Wigley, Global patterns of ENSO-induced precipitation, Geophysical Research Letters, vol.78, issue.9, pp.1283-1286, 2000.
DOI : 10.1029/1999GL011140

A. Dai, I. Y. Fung, and A. D. Delgenio, Surface Observed Global Land Precipitation Variations during 1900???88, Journal of Climate, vol.10, issue.11, pp.2943-2962, 1997.
DOI : 10.1175/1520-0442(1997)010<2943:SOGLPV>2.0.CO;2

M. G. Donat, Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, Journal of Geophysical Research: Atmospheres, vol.29, issue.17, pp.2098-2118, 2013.
DOI : 10.1002/joc.1738

S. R. Durrans and S. Tomic, COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS, Journal of the American Water Resources Association, vol.32, issue.5, pp.1203-1214, 2001.
DOI : 10.1111/j.1752-1688.2001.tb03632.x

S. R. Durrans and J. T. Kirby, Regionalization of extreme precipitation estimates for the Alabama rainfall atlas, Journal of Hydrology, vol.295, issue.1-4, pp.1-4, 2004.
DOI : 10.1016/j.jhydrol.2004.02.021

A. C. Favre, S. Adlouni, L. Perreault, N. Thiemonge, and B. Bobee, Multivariate hydrological frequency analysis using copulas, Water Resources Research, vol.246, issue.1, p.1101, 2004.
DOI : 10.1029/2003WR002456

J. Feng and J. P. Li, Influence of El Ni??o Modoki on spring rainfall over south China, Journal of Geophysical Research, vol.115, issue.2, 2011.
DOI : 10.1029/2010JD015160

H. W. Fernandez and B. Fernandez, The influence of ENSO in the precipitation regime in southern South America, pp.5-16, 2002.

R. A. Fisher and L. H. Tippett, Limiting forms of the frequency distribution of the largest or smallest member of a sample, Mathematical Proceedings of the Cambridge Philosophical Society, vol.24, issue.02, pp.24-180, 1928.
DOI : 10.1017/S0305004100015681

A. J. Frost, Spatio-temporal hidden markov models for incorporating interannual variability in rainfall, 2004.

F. Garavaglia, J. Gailhard, E. Paquet, M. Lang, R. Garcon et al., Introducing a rainfall compound distribution model based on weather patterns subsampling, Hydrology and Earth System Sciences, issue.6, pp.14-951, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00494939

F. Garavaglia, M. Lang, E. Paquet, J. Gailhard, R. Garcon et al., Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling, Hydrology and Earth System Sciences, vol.15, issue.2, pp.519-532, 2011.
DOI : 10.5194/hess-15-519-2011

URL : https://hal.archives-ouvertes.fr/hal-00619041

A. Gelman and D. B. Rubin, Inference from iterative simulation using multiple sequences, Statistical science, pp.457-472, 1992.

C. Genest, A. C. Favre, J. Beliveau, and C. Jacques, Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data, Water Resources Research, vol.11, issue.D2, p.9401, 2007.
DOI : 10.1029/2006WR005275

A. Gershunov and T. P. Barnett, ENSO Influence on Intraseasonal Extreme Rainfall and Temperature Frequencies in the Contiguous United States: Observations and Model Results, Journal of Climate, vol.11, issue.7, pp.1575-1586, 1998.
DOI : 10.1175/1520-0442(1998)011<1575:EIOIER>2.0.CO;2

S. Ghosh and B. K. Mallick, A hierarchical Bayesian spatio-temporal model for extreme precipitation events, Environmetrics, vol.7, issue.2, pp.192-204, 2011.
DOI : 10.1002/env.1043

A. L. Gibelin and M. Déqué, Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model, Climate Dynamics, pp.327-339, 2003.

B. N. Goswami, V. Venugopal, D. Sengupta, M. S. Madhusoodanan, and P. K. Xavier, Increasing Trend of Extreme Rain Events Over India in a Warming Environment, Science, vol.314, issue.5804, pp.314-1442, 2006.
DOI : 10.1126/science.1132027

I. B. Gregersen, H. Madsen, D. Rosbjerg, and K. Arnbjerg-nielsen, A spatial and nonstationary model for the frequency of extreme rainfall events, Water Resources Research, vol.10, issue.1, pp.10-1029, 2013.
DOI : 10.1029/2012WR012570

A. M. Grimm, Interannual climate variability in South America: impacts on seasonal precipitation, extreme events, and possible effects of climate change, Stochastic Environmental Research and Risk Assessment, pp.537-554, 2011.

A. M. Grimm and R. G. Tedeschi, ENSO and Extreme Rainfall Events in South America, ENSO and Extreme Rainfall Events in South America, pp.1589-1609, 2009.
DOI : 10.1175/2008JCLI2429.1

M. Hanel, T. A. Buishand, and C. A. Ferro, A nonstationary index flood model for precipitation extremes in transient regional climate model simulations, Journal of Geophysical Research, vol.11, issue.1, 2009.
DOI : 10.1029/2009JD011712

M. Hanel, T. A. Buishand, and C. A. Ferro, A nonstationary index flood model for precipitation extremes in transient regional climate model simulations, Journal of Geophysical Research, vol.11, issue.1, p.114, 1984.
DOI : 10.1029/2009JD011712

A. Hannachi, Toward a Nonlinear Identification of the Atmospheric Response to ENSO, Journal of Climate, vol.14, issue.9, pp.2138-2149, 2001.
DOI : 10.1175/1520-0442(2001)014<2138:TANIOT>2.0.CO;2

J. He and C. Valeo, Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis, Journal of Hydrologic Engineering, vol.14, issue.2, pp.172-184, 2009.
DOI : 10.1061/(ASCE)1084-0699(2009)14:2(172)

J. E. Heffernan and J. A. Tawn, A conditional approach for multivariate extreme values (with discussion), Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.77, issue.3, pp.497-546, 2004.
DOI : 10.1214/aoap/1019487509

B. J. Henley, M. A. Thyer, G. Kuczera, and S. W. Franks, Climate-informed stochastic hydrological modeling: Incorporating decadal-scale variability using paleo data, Water Resources Research, vol.10, issue.5, pp.47-11509, 2011.
DOI : 10.1029/2010WR010034

R. W. Higgins, V. E. Kousky, and P. Xie, Extreme Precipitation Events in the South-Central United States during May and June 2010: Historical Perspective, Role of ENSO, and Trends, Journal of Hydrometeorology, vol.12, issue.5, pp.1056-1070, 2010.
DOI : 10.1175/JHM-D-10-05039.1

M. P. Hoerling, A. Kumar, and M. Zhong, El Ni??o, La Ni??a, and the Nonlinearity of Their Teleconnections, El Nino, La Nina, and the nonlinearity of their teleconnections, pp.1769-1786, 1997.
DOI : 10.1175/1520-0442(1997)010<1769:ENOLNA>2.0.CO;2

M. P. Hoerling, A. Kumar, and T. Y. Xu, Robustness of the Nonlinear Climate Response to ENSO???s Extreme Phases, Journal of Climate, vol.14, issue.6, pp.1277-1293, 2001.
DOI : 10.1175/1520-0442(2001)014<1277:ROTNCR>2.0.CO;2

J. R. Hosking, L-Moment -Analysis and Estimation of Distributions Using Linear-Combinations of Order-Statistics, J Roy Stat Soc B Met, vol.52, issue.1, pp.105-124, 1990.

J. R. Hosking, J. R. Wallis, and E. F. Wood, An appraisal of the regional flood frequency procedure in the UK flood studies report, Hydrological Sciences Journal- Journal Des Sciences Hydrologiques, issue.1, pp.30-85, 1985.

Y. Hundecha and B. Merz, Exploring the relationship between changes in climate and floods using a model-based analysis, Water Resources Research, vol.45, issue.1, 2012.
DOI : 10.1029/2011WR010527

J. W. Hurrell, Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation, Science, vol.269, issue.5224, pp.269-676, 1995.
DOI : 10.1126/science.269.5224.676

J. W. Hurrell and H. Vanloon, Decadal Variations in Climate Associated with the North Atlantic Oscillation, Climatic Change, vol.36, pp.3-4, 1997.
DOI : 10.1007/978-94-015-8905-5_4

C. M. Hurvich and C. Tsai, Regression and time series model selection in small samples, Biometrika, vol.76, issue.2, pp.76-297, 1989.
DOI : 10.1093/biomet/76.2.297

C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken et al., Managing the risks of extreme events and disasters to advance climatechange adaptation. A special report of working groups I and II of the Intergovernmental Panel on Climate Change, IPCC, 2012.

C. Jones and L. M. Carvalho, Spatial???Intensity Variations in Extreme Precipitation in the Contiguous United States and the Madden???Julian Oscillation, Journal of Climate, vol.25, issue.14, pp.25-4898, 2012.
DOI : 10.1175/JCLI-D-11-00278.1

P. D. Jones, T. Jonsson, and D. Wheeler, Extension to the North Atlantic Oscillation using early instrumental pressure observations from Gibraltar and south-west Iceland, International Journal of Climatology, issue.13, pp.17-1433, 1997.

J. Jónsdóttir, C. Uvo, and A. Snorrason, Multivariate analysis of Icelandic river flow and its relation to variability in atmospheric circulation, XIII Nordic Hydrological Conference, 2004.

Z. Kaczmarek, The Impact of Climate Variability on Flood Risk in Poland, Risk Analysis, vol.25, issue.3, pp.559-566, 2003.
DOI : 10.1023/A:1005314315270

R. P. Kane, El Ni??o timings and rainfall extremes in India, Southeast Asia and China, El Nino timings and rainfall extremes in India, Southeast Asia and China, pp.653-672, 1999.
DOI : 10.1002/(SICI)1097-0088(199905)19:6<653::AID-JOC379>3.0.CO;2-C

R. W. Katz, M. B. Parlange, and P. Naveau, Statistics of extremes in hydrology, Advances in Water Resources, vol.25, issue.8-12, pp.8-12, 2002.
DOI : 10.1016/S0309-1708(02)00056-8

M. T. Kayano and R. V. Andreoli, Relationships between rainfall anomalies over northeastern Brazil and the El Ni??o???Southern Oscillation, Journal of Geophysical Research, vol.6, issue.D13, p.111, 2006.
DOI : 10.1029/2005JD006142

A. S. Keim and D. C. Verdon-kidd, Climatic drivers of Victorian streamflow: Is ENSO the dominant influence?, Australian Journal of Water Resources, vol.13, issue.1, p.17, 2009.

J. Kenyon and G. C. Hegerl, Influence of Modes of Climate Variability on Global Precipitation Extremes, Journal of Climate, vol.23, issue.23, pp.6248-6262, 2010.
DOI : 10.1175/2010JCLI3617.1

M. N. Khaliq, T. B. Ouarda, J. C. Ondo, P. Gachon, and B. Bobee, Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review, Journal of Hydrology, vol.329, issue.3-4, pp.3-4, 2006.
DOI : 10.1016/j.jhydrol.2006.03.004

G. Kiely, Climate change in Ireland from precipitation and streamflow observations, Advances in Water Resources, vol.23, issue.2, pp.141-151, 1999.
DOI : 10.1016/S0309-1708(99)00018-4

A. D. King, L. V. Alexander, and M. G. Donat, Asymmetry in the response of eastern Australia extreme rainfall to low-frequency Pacific variability, Geophysical Research Letters, vol.2, issue.1, pp.1-6, 2013.
DOI : 10.1002/wcc.147

D. G. Kingston, D. M. Hannah, D. M. Lawler, and G. R. Mcgregor, Interactions between large-scale climate and river flow across the northern North Atlantic margin, pp.350-355, 2006.

V. E. Kousky, M. T. Kagano, and I. F. Cavalcanti, A review of the Southern Oscillation -oceanic-atmospheric circulation changes and related rainfall anomalies, Tellus Series a-Dynamic Meteorology and Oceanography, pp.490-504, 1984.

R. H. Kripalani and A. Kulkarni, Rainfall variability over South-east Asia???connections with Indian monsoon and ENSO extremes: new perspectives, International Journal of Climatology, vol.113, issue.11, pp.17-1155, 1997.
DOI : 10.1002/(SICI)1097-0088(199709)17:11<1155::AID-JOC188>3.0.CO;2-B

C. N. Kroll and J. R. Stedinger, Estimation of Moments and Quantiles using Censored Data, Water Resources Research, vol.120, issue.3, pp.1005-1012, 1996.
DOI : 10.1029/95WR03294

A. C. Kruger, The influence of the decadal-scale variability of summer rainfall on the impact of El Ni??o and La Ni??a events in South Africa, International Journal of Climatology, vol.3, issue.1, pp.59-68, 1999.
DOI : 10.1002/(SICI)1097-0088(199901)19:1<59::AID-JOC347>3.0.CO;2-B

J. Kysely, A Cautionary Note on the Use of Nonparametric Bootstrap for Estimating Uncertainties in Extreme-Value Models, Journal of Applied Meteorology and Climatology, vol.47, issue.12, pp.47-3236, 2008.
DOI : 10.1175/2008JAMC1763.1

J. Kysely, Trends in heavy precipitation in the Czech Republic over 1961-2005, International Journal of Climatology, vol.32, issue.12, pp.1745-1758, 1961.
DOI : 10.1002/joc.1784

J. Kysely, J. Picek, and R. Beranova, Estimating extremes in climate change simulations using the peaks-over-threshold method with a non-stationary threshold, Global and Planetary Change, vol.72, issue.1-2, pp.55-68, 2010.
DOI : 10.1016/j.gloplacha.2010.03.006

J. Kysely, L. Gaal, and J. Picek, Comparison of regional and at-site approaches to modelling probabilities of heavy precipitation, International Journal of Climatology, vol.153, issue.10, pp.31-1457, 2011.
DOI : 10.1002/joc.2182

M. Lang, T. B. Ouarda, and B. Bobee, Towards operational guidelines for overthreshold modeling, Journal of Hydrology, vol.225, pp.3-4, 1999.

M. Latif, V. Semenov, and P. Wonsun, Super El Niños in a Warming World, paper presented at EGU General Assembly Conference Abstracts, 2013.

B. Lavery, G. Joung, and N. Nicholls, An extended high-quality historical rainfall dataset for Australia, Aust Meteorol Mag, vol.46, issue.1, pp.27-38, 1997.

L. Lecam, Maximum-Likelihood -an Introduction, Int Stat Rev, vol.58, issue.2, pp.153-171, 1990.

M. Leclerc and T. B. Ouarda, Non-stationary regional flood frequency analysis at ungauged sites, Journal of Hydrology, vol.343, issue.3-4, pp.3-4, 2007.
DOI : 10.1016/j.jhydrol.2007.06.021

C. Li and H. Ma, Relationship between ENSO and winter rainfall over Southeast China and its decadal variability, Advances in Atmospheric Sciences, vol.27, issue.6, pp.1129-1141, 2012.
DOI : 10.1007/s00376-012-1248-z

C. H. Lima and U. Lall, Hierarchical Bayesian modeling of multisite daily rainfall occurrence: Rainy season onset, peak, and end, Water Resources Research, vol.17, issue.454, p.7422, 2009.
DOI : 10.1029/2008WR007485

C. H. Lima and U. Lall, Spatial scaling in a changing climate: A hierarchical bayesian model for non-stationary multi-site annual maximum and monthly streamflow, Journal of Hydrology, vol.383, issue.3-4, pp.3-4, 2010.
DOI : 10.1016/j.jhydrol.2009.12.045

D. Limanówka, Z. Nieckarz, and J. Pociask-karteczka, The North Atlantic Oscillation impact on hydrological regime in Polish Carpathians, ERB and Northern European FRIEND Project 5 Conference, 2002.

H. F. Lins and T. A. Cohn, Stationarity: Wanted Dead or Alive?1, JAWRA Journal of the American Water Resources Association, vol.45, issue.5863, pp.475-480, 2011.
DOI : 10.1111/j.1752-1688.2011.00542.x

B. Lyon and A. G. Barnston, ENSO and the Spatial Extent of Interannual Precipitation Extremes in Tropical Land Areas, Journal of Climate, vol.18, issue.23, pp.5095-5109, 2005.
DOI : 10.1175/JCLI3598.1

H. Madsen and D. Rosbjerg, The partial duration series method in regional index-flood modeling, Water Resources Research, vol.30, issue.1, pp.737-746, 1997.
DOI : 10.1029/96WR03847

H. Madsen and D. Rosbjerg, Generalized least squares and empirical bayes estimation in regional partial duration series index-flood modeling, Water Resources Research, vol.111, issue.7, pp.771-781, 1997.
DOI : 10.1029/96WR03850

H. Madsen, P. F. Rasmussen, and D. Rosbjerg, Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 1. At-site modeling, Water Resources Research, vol.129, issue.7, pp.747-757, 1997.
DOI : 10.1029/96WR03848

H. Madsen, C. P. Pearson, and D. Rosbjerg, Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 2. Regional modeling, Water Resources Research, vol.153, issue.3, pp.759-769, 1997.
DOI : 10.1029/96WR03849

H. Madsen, K. Arnbjerg-nielsen, and P. S. Mikkelsen, Update of regional intensity???duration???frequency curves in Denmark: Tendency towards increased storm intensities, Atmospheric Research, vol.92, issue.3, pp.343-349, 2009.
DOI : 10.1016/j.atmosres.2009.01.013

H. Madsen, P. S. Mikkelsen, D. Rosbjerg, and P. Harremoës, Regional estimation of rainfall intensity-duration-frequency curves using generalized least squares regression of partial duration series statistics, Water Resources Research, vol.31, issue.2, pp.38-1239, 2002.
DOI : 10.1029/2001WR001125

D. Maraun, H. W. Rust, and T. J. Osborn, Synoptic airflow and UK daily precipitation extremes Development and validation of a vector generalised linear model, Extremes, pp.13-133, 2010.

D. Maraun, T. J. Osborn, and H. W. Rust, The influence of synoptic airflow on UK daily precipitation extremes. Part I: Observed spatio-temporal relationships, Climate Dynamics, vol.10, issue.3, pp.261-275, 2011.
DOI : 10.1007/s00382-009-0710-9

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.181, issue.3, p.2501, 2004.
DOI : 10.1029/2003WR002378

A. Meshgi and D. Khalili, Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. II. Development of LH-moments parameters for the generalized Pareto and generalized logistic distributions, Stochastic Environmental Research and Risk Assessment, vol.7, issue.12, pp.137-152, 2009.
DOI : 10.1007/s00477-007-0202-6

N. Metropolis and S. Ulam, The Monte Carlo Method, Journal of the American Statistical Association, vol.44, issue.247, pp.335-341, 1949.
DOI : 10.1080/01621459.1949.10483310

T. Micevski, S. W. Franks, and G. Kuczera, Multidecadal variability in coastal eastern Australian flood data, Muttidecadal variability in coastal eastern Australian flood data, pp.219-225, 2006.
DOI : 10.1016/j.jhydrol.2005.11.017

P. C. Milly, J. Betancourt, M. Falkenmark, R. M. Hirsch, Z. W. Kundzewicz et al., Climate change -Stationarity is dead: Whither water management?, Science, pp.319-573, 2008.

S. K. Min, W. J. Cai, and P. Whetton, Influence of climate variability on seasonal extremes over Australia, Journal of Geophysical Research: Atmospheres, vol.24, issue.D14, pp.643-654, 2013.
DOI : 10.1029/2002JD002670

R. Naulet, M. Lang, T. Ouarda, D. Coeur, B. Bobee et al., Flood frequency analysis on the Ard??che river using French documentary sources from the last two centuries, Journal of Hydrology, vol.313, issue.1-2, pp.58-78, 2005.
DOI : 10.1016/j.jhydrol.2005.02.011

L. Neppel, M. Renard, P. A. Lang, D. Ayral, E. Coeur et al., Flood frequency analysis using historical data: accounting for random and systematic errors, Hydrological Sciences Journal, vol.16, issue.2, pp.55-192, 2010.
DOI : 10.1029/2008WR006825

M. Nogaj, P. Yiou, S. Parey, F. Malek, and P. Naveau, Amplitude and frequency of temperature extremes over the North Atlantic region, Geophysical Research Letters, vol.11, issue.10, p.33, 2006.
DOI : 10.1029/2005GL024251

O. Connell, D. R. , D. A. Ostenaa, D. R. Levish, and R. E. Klinger, Bayesian flood frequency analysis with paleohydrologic bound data, Water Resources Research, vol.38, issue.5, 2002.

T. B. Ouarda and S. El-adlouni, Bayesian Nonstationary Frequency Analysis of Hydrological Variables1, JAWRA Journal of the American Water Resources Association, vol.54, issue.5, pp.496-505, 2011.
DOI : 10.1111/j.1752-1688.2011.00544.x

T. B. Ouarda, C. Girard, G. S. Cavadias, and B. Bobée, Regional flood frequency estimation with canonical correlation analysis, Journal of Hydrology, vol.254, issue.1-4, pp.157-173, 2001.
DOI : 10.1016/S0022-1694(01)00488-7

A. Overeem, A. Buishand, and I. Holleman, Rainfall depth-duration-frequency curves and their uncertainties, Journal of Hydrology, vol.348, issue.1-2, pp.124-134, 2008.
DOI : 10.1016/j.jhydrol.2007.09.044

S. A. Padoan, M. Ribatet, and S. A. Sisson, Likelihood-Based Inference for Max-Stable Processes, Journal of the American Statistical Association, vol.105, issue.489, pp.263-277, 2010.
DOI : 10.1198/jasa.2009.tm08577

URL : https://hal.archives-ouvertes.fr/hal-00361245

C. Pagé, L. Terray, and J. Boé, Projections climatiques à échelle fine sur la France pour le 21ème siècle : les scénarii SCRATCH08, Technical note, Climate Modelling and Global Change Rep, CERFACS, vol.64, 2008.

E. Paquet, F. Garavaglia, R. Garçon, and J. Gailhard, The SCHADEX method: A semi-continuous rainfall???runoff simulation for extreme flood estimation, Journal of Hydrology, vol.495, 2013.
DOI : 10.1016/j.jhydrol.2013.04.045

O. Payrastre, E. Gaume, and H. Andrieu, Usefulness of historical information for flood frequency analyses: Developments based on a case study, Water Resources Research, vol.22, issue.5, p.47, 2011.
DOI : 10.1029/2010WR009812

URL : https://hal.archives-ouvertes.fr/hal-00905999

I. Pickands and J. , Statistical inference using extreme order statistics, The Annals of Statistics, pp.119-131, 1975.

J. Pociask-karteczka, Z. Nieckarz, and D. Limanowka, Prediction of hydrological extremes by air circulation indices, Water Resources Systems -Water Availability and Global Change, pp.134-141, 2003.

I. Pscheidt and A. M. Grimm, Frequency of extreme rainfall events in Southern Brazil modulated by interannual and interdecadal variability, International Journal of Climatology, vol.10, issue.D14, pp.1988-2011, 2009.
DOI : 10.1002/joc.1799

N. Pujol, L. Neppel, and R. Sabatier, Regional tests for trend detection in maximum precipitation series in the French Mediterranean region, Hydrological Sciences Journal, vol.1, issue.5, pp.52-956, 2007.
DOI : 10.1002/joc.781

D. S. Reis and J. R. Stedinger, Bayesian MCMC flood frequency analysis with historical information, Journal of Hydrology, vol.313, issue.1-2, pp.97-116, 2005.
DOI : 10.1016/j.jhydrol.2005.02.028

B. Renard, D??tection et prise en compte d?????ventuels impacts du changement climatique sur les extr??mes hydrologiques en France, La Houille Blanche, issue.1, 2006.
DOI : 10.1051/lhb:2008012

B. Renard, A Bayesian hierarchical approach to regional frequency analysis RID G- 1524-2011, Water Resources Research, vol.47, p.11513, 2011.

B. Renard and M. Lang, Use of a Gaussian copula for multivariate extreme value analysis: Some case studies in hydrology, Advances in Water Resources, vol.30, issue.4, pp.897-912, 2007.
DOI : 10.1016/j.advwatres.2006.08.001

URL : https://hal.archives-ouvertes.fr/hal-00453788

B. Renard, M. Lang, and P. Bois, Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data, Stochastic Environmental Research and Risk Assessment, vol.248, issue.2, pp.97-112, 2006.
DOI : 10.1007/s00477-006-0047-4

B. Renard, V. Garreta, and M. Lang, An application of Bayesian analysis and Markov chain Monte Carlo methods to the estimation of a regional trend in annual maxima, Water Resources Research, vol.37, issue.12, pp.42-12422, 2006.
DOI : 10.1029/2005WR004591

URL : https://hal.archives-ouvertes.fr/hal-00453882

B. Renard, X. Sun, and M. Lang, Bayesian methods for non-stationary extreme value analysis, in Extremes in a changing climate: Detection, analysis and uncertainty, pp.39-95, 2013.

B. Renard, Regional methods for trend detection: Assessing field significance and regional consistency, Water Resources Research, vol.22, issue.10, p.44, 2008.
DOI : 10.1029/2007WR006268

URL : https://hal.archives-ouvertes.fr/meteo-00358520

M. Ribatet, E. Sauquet, J. M. Gresillon, and T. B. Ouarda, Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis, Water Resources Research, vol.157, issue.2-3, pp.43-08403, 2007.
DOI : 10.1029/2006WR005525

URL : https://hal.archives-ouvertes.fr/hal-00232790

R. Rigby and D. Stasinopoulos, Generalized additive models for location, scale and shape (with discussion), Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.33, issue.3, pp.507-554, 2005.
DOI : 10.1002/sim.1861

C. F. Ropelewski and M. S. Halpert, Global and Regional Scale Precipitation Patterns Associated with the El Ni??o/Southern Oscillation, Monthly Weather Review, vol.115, issue.8, pp.1606-1626, 1987.
DOI : 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2

H. W. Rust, D. Maraun, and T. J. Osborn, Modelling seasonality in extreme precipitation, The European Physical Journal Special Topics, vol.174, issue.1, pp.99-111, 2009.
DOI : 10.1140/epjst/e2009-01093-7

A. Sabourin and P. Naveau, Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization, Computational Statistics & Data Analysis, vol.71, 2013.
DOI : 10.1016/j.csda.2013.04.021

URL : https://hal.archives-ouvertes.fr/hal-00880879

N. H. Saji, B. N. Goswami, P. N. Vinayachandran, and T. Yamagata, A dipole mode in the tropical Indian Ocean, Nature, vol.63, issue.6751, pp.401-360, 1999.
DOI : 10.1038/43854

J. D. Salas and J. Obeysekera, Revisiting the Concepts of Return Period and Risk for Nonstationary Hydrologic Extreme Events, Journal of Hydrologic Engineering, vol.19, issue.3, 2013.
DOI : 10.1061/(ASCE)HE.1943-5584.0000820

H. Y. Sang and A. E. Gelfand, Hierarchical modeling for extreme values observed over space and time, Environmental and Ecological Statistics, vol.35, issue.4, pp.407-426, 2009.
DOI : 10.1007/s10651-007-0078-0

A. Sankarasubramanian and K. Srinivasan, Investigation and comparison of sampling properties of L-moments and conventional moments, Journal of Hydrology, vol.218, issue.1-2, pp.13-34, 1999.
DOI : 10.1016/S0022-1694(99)00018-9

P. D. Sardeshmukh, G. P. Compo, and C. Penland, Changes of Probability Associated with El Ni??o, Journal of Climate, vol.13, issue.24, pp.4268-4286, 2000.
DOI : 10.1175/1520-0442(2000)013<4268:COPAWE>2.0.CO;2

M. Schlather, Models for stationary max-stable random fields, Extremes, pp.33-44, 2002.

S. D. Schubert, Y. Chang, M. J. Suarez, and P. J. Pegion, ENSO and Wintertime Extreme Precipitation Events over the Contiguous United States, ENSO and wintertime extreme precipitation events over the contiguous united states, pp.22-39, 2008.
DOI : 10.1175/2007JCLI1705.1

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

H. Shang, J. Yan, and X. Zhang, El Ni??o-Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model, Water Resources Research, vol.23, issue.11, p.47, 2011.
DOI : 10.1029/2011WR010415

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

R. L. Smith, S. Somot, F. Sevault, M. Deque, and M. Crepon, Max-stable processes and spatial extremes, Unpublished manuscript 21st century climate change scenario for the Mediterranean using a coupled atmosphere-ocean regional climate model, Global and Planetary Change, vol.63, issue.2-3, pp.112-126, 1990.

D. J. Spiegelhalter, N. G. Best, B. R. Carlin, and A. Van-der-linde, Bayesian measures of model complexity and fit, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.93, issue.4, pp.583-616, 2002.
DOI : 10.1002/1097-0258(20000915/30)19:17/18<2265::AID-SIM568>3.0.CO;2-6

K. Stahl, S. Demuth, H. Hisdal, M. J. Santos, R. Ver?ssimo et al., The North Atlantic Oscillation (NAO) and the drought, In: Assessment of the Regional Impact of Droughts in Europe, 2001.

J. R. Stedinger, Confidence Intervals for Design Events, Journal of Hydraulic Engineering, vol.109, issue.1, pp.13-27, 1983.
DOI : 10.1061/(ASCE)0733-9429(1983)109:1(13)

J. R. Stedinger and G. D. Tasker, Regional Hydrologic Analysis: 1. Ordinary, Weighted, and Generalized Least Squares Compared, Water Resources Research, vol.15, issue.6, pp.1421-1432, 1985.
DOI : 10.1029/WR021i009p01421

J. R. Stedinger and T. A. Cohn, Flood Frequency Analysis With Historical and Paleoflood Information, Water Resources Research, vol.18, issue.4, pp.785-793, 1986.
DOI : 10.1029/WR022i005p00785

J. R. Stedinger and V. W. Griffis, Getting From Here to Where? Flood Frequency Analysis and Climate1, JAWRA Journal of the American Water Resources Association, vol.46, issue.3, pp.506-513, 2011.
DOI : 10.1111/j.1752-1688.2011.00545.x

X. Sun, M. Thyer, B. Renard, and M. Lang, A general regional frequency analysis framework for quantifying the impact of ENSO on summer rainfall in Southeast Queensland (submitted), Journal of Hydrology, 2013.

R. Suppiah and K. J. Hennessy, Trends in total rainfall, heavy rain events and number of dry days in Australia, 1910???1990, International Journal of Climatology, vol.13, issue.10, pp.1141-1164, 1910.
DOI : 10.1002/(SICI)1097-0088(199808)18:10<1141::AID-JOC286>3.0.CO;2-P

M. Thyer, A. J. Frost, and G. Kuczera, Parameter estimation and model identification for stochastic models of annual hydrological data: Is the observed record long enough?, Journal of Hydrology, vol.330, issue.1-2, pp.313-328, 2006.
DOI : 10.1016/j.jhydrol.2006.03.029

Y. Tramblay, L. Neppel, and J. Carreau, Brief communication "Climatic covariates for the frequency analysis of heavy rainfall in the Mediterranean region", Natural Hazards and Earth System Science, vol.11, issue.9, pp.2463-2468, 2011.
DOI : 10.5194/nhess-11-2463-2011

Y. Tramblay, W. Badi, F. Driouech, S. Adlouni, L. Neppel et al., Climate change impacts on extreme precipitation in Morocco, Global and Planetary Change, vol.82, issue.83, pp.82-83, 2012.
DOI : 10.1016/j.gloplacha.2011.12.002

R. M. Trigo, D. Pozo-vazquez, T. J. Osborn, Y. Castro-diez, S. Gamiz-fortis et al., North Atlantic oscillation influence on precipitation, river flow and water resources in the Iberian Peninsula, International Journal of Climatology, vol.24, issue.8, pp.24-925, 2004.
DOI : 10.1002/joc.1048

H. Van-loon and J. C. Rogers, The Seesaw in Winter Temperatures between Greenland and Northern Europe. Part I: General Description, Monthly Weather Review, vol.106, issue.3, pp.296-310, 1978.
DOI : 10.1175/1520-0493(1978)106<0296:TSIWTB>2.0.CO;2

J. Va-nheerden, D. E. Terblanche, and G. C. Schulze, The southern oscillation and South African summer rainfall, Journal of Climatology, vol.4, issue.6, pp.577-597, 1988.
DOI : 10.1002/joc.3370080603

S. M. Vicente-serrano and J. M. Cuadrat, North Atlantic oscillation control of droughts in north-east Spain: evaluation since 1600 a.d., Climatic Change, vol.5, issue.7, pp.3-4, 2007.
DOI : 10.1007/s10584-007-9285-9

J. Vidal, E. Martin, L. Franchistéguy, M. Baillon, and J. Soubeyroux, A 50-year high-resolution atmospheric reanalysis over France with the Safran system, International Journal of Climatology, vol.136, issue.11, pp.30-1627, 2010.
DOI : 10.1002/joc.2003

URL : https://hal.archives-ouvertes.fr/meteo-00420845

T. Wagener and J. Kollat, Numerical and visual evaluation of hydrological and environmental models using the Monte Carlo analysis toolbox, Environmental Modelling & Software, vol.22, issue.7, pp.1021-1033, 2007.
DOI : 10.1016/j.envsoft.2006.06.017

S. Q. Wan, Y. L. Hu, Z. Y. You, J. P. Kang, and J. G. Zhu, Extreme monthly precipitation pattern in China and its dependence on Southern Oscillation, International Journal of Climatology, vol.32, issue.4, pp.806-814, 2013.
DOI : 10.1002/joc.3466

R. F. Weiher, Improving El Niño forecasting: the potential economic benefits, National Oceanic and Atmospheric Administration, 1999.

S. Westra, L. V. Alexander, and F. W. Zwiers, Global Increasing Trends in Annual Maximum Daily Precipitation, Journal of Climate, vol.26, issue.11, 2012.
DOI : 10.1175/JCLI-D-12-00502.1

C. K. Wikle, L. M. Berliner, and N. Cressie, Hierarchical Bayesian space-time models, Environmental and Ecological Statistics, vol.5, issue.2, pp.117-154, 1998.
DOI : 10.1023/A:1009662704779

R. L. Wilby, G. O. Hare, and N. Barnsley, The North Atlantic Oscillation and British Isles climate variability, pp.1865-1996, 1997.

M. B. Wilk and R. Gnanadesikan, Probability Plotting Methods for the Analysis of Data, Biometrika, vol.55, issue.1, pp.1-17, 1968.
DOI : 10.2307/2334448

A. M. Wu, W. W. Hsieh, and A. Shabbar, The Nonlinear Patterns of North American Winter Temperature and Precipitation Associated with ENSO, Journal of Climate, vol.18, issue.11, pp.1736-1752, 2005.
DOI : 10.1175/JCLI3372.1

R. G. Wu, Z. Z. Hu, and B. P. Kirtman, Evolution of ENSO-Related Rainfall Anomalies in East Asia, Journal of Climate, vol.16, issue.22, pp.3742-3758, 2003.
DOI : 10.1175/1520-0442(2003)016<3742:EOERAI>2.0.CO;2

P. S. Yu, T. C. Yang, and C. S. Lin, Regional rainfall intensity formulas based on scaling property of rainfall, Journal of Hydrology, vol.295, issue.1-4, pp.1-4, 2004.
DOI : 10.1016/j.jhydrol.2004.03.003

P. M. Zhai, X. B. Zhang, H. Wan, and X. H. Pan, Trends in Total Precipitation and Frequency of Daily Precipitation Extremes over China, Journal of Climate, vol.18, issue.7, pp.1096-1108, 2005.
DOI : 10.1175/JCLI-3318.1