C. Accadia, S. Mariani, M. Casaioli, A. Lavagnini, and A. Speranza, Sensitivity of Precipitation Forecast Skill Scores to Bilinear Interpolation and a Simple Nearest-Neighbor Average Method on High-Resolution Verification Grids, Weather Forecast, pp.918-932, 2003.

A. Bardossy, H. Muster, L. Duckstein, and I. Bogardi, Automatic classification of circulation patterns for stochastic precipitation modelling. Stochastic and Statistical Methods in Hydrology and Environmental Engineering, 1. Extreme Values: Floods and Droughts, 1994.

A. Berger, Long-Term Variations of Daily Insolation and Quaternary Climatic Changes, Journal of the Atmospheric Sciences, vol.35, issue.12, pp.2362-2367, 1978.
DOI : 10.1175/1520-0469(1978)035<2362:LTVODI>2.0.CO;2

P. Braconnot, B. Otto-bliesner, S. Harrison, S. Joussaume, J. Peterschmitt et al., Results of PMIP2 coupled simulations of the Mid-Holocene and Last Glacial Maximum &ndash; Part 1: experiments and large-scale features, Climate of the Past, vol.3, issue.2, pp.261-277, 2007.
DOI : 10.5194/cp-3-261-2007

S. P. Charles, B. C. Bates, P. H. Whetton, and J. P. Hughes, Validation of downscaling models for changed climate conditions: case study of southwestern Australia, Climate Research, vol.12, pp.1-14, 1999.
DOI : 10.3354/cr012001

M. Cheng and Y. Qi, Frontal Rainfall-Rate Distribution and Some Conclusions on the Threshold Method, Journal of Applied Meteorology, vol.41, issue.11, pp.1128-1139, 2002.
DOI : 10.1175/1520-0450(2002)041<1128:FRRDAS>2.0.CO;2

T. J. Hastie and R. J. Tibshirani, Generalized Additive Models, 1990.

R. Huth, Disaggregating climatic trends by classification of circulation patterns, International Journal of Climatology, vol.37, issue.2, pp.135-153, 2001.
DOI : 10.1002/joc.605

R. Huth, Statistical Downscaling of Daily Temperature in Central Europe, Journal of Climate, vol.15, issue.13, pp.1731-1742, 2002.
DOI : 10.1175/1520-0442(2002)015<1731:SDODTI>2.0.CO;2

A. Jost, D. Lunt, M. Kageyama, ?. Abe, A. Ouchi et al., High-resolution simulations of the last glacial maximum climate over Europe: a solution to discrepancies with continental palaeoclimatic reconstructions?, Climate Dynamics, vol.19, issue.6, pp.577-590, 2005.
DOI : 10.1007/s00382-005-0009-4

M. Kageyama, O. Peyron, S. Pinot, P. Tarasov, J. Guiot et al., The Last Glacial Maximum climate over Europe and western Siberia: a PMIP comparison between models and data, Climate Dynamics, vol.17, issue.1, pp.23-43, 2001.
DOI : 10.1007/s003820000095

URL : https://hal.archives-ouvertes.fr/hal-01457717

M. Kageyama, A. La??néla??né, A. Abe-ouchi, P. Braconnot, E. Cortijo et al., Last Glacial Maximum temperatures over the North Atlantic, Europe and western Siberia: a comparison between PMIP models, MARGO sea???surface temperatures and pollen-based reconstructions, Quaternary Science Reviews, vol.25, issue.17-18, pp.2082-2102, 2006.
DOI : 10.1016/j.quascirev.2006.02.010

URL : https://hal.archives-ouvertes.fr/hal-01457694

R. W. Katz, Techniques for estimating uncertainty in climate change scenarios and impact studies, Climate Research, vol.20, pp.167-185, 2002.
DOI : 10.3354/cr020167

X. Liang, J. Pan, J. Zhu, K. E. Kunkel, J. X. Wang et al., Regional climate model downscaling of the U.S. summer climate and future change, Journal of Geophysical Research: Atmospheres, vol.110, issue.24, p.10108101029, 2006.
DOI : 10.1029/2005JD006685

M. New, D. Lister, M. Hulme, and I. Makin, A high-resolution data set of surface climate over global land areas, Climate Research, vol.21, pp.1-25, 2002.
DOI : 10.3354/cr021001

W. R. Peltier, Ice Age Paleotopography, Science, vol.265, issue.5169, pp.195-201, 1994.
DOI : 10.1126/science.265.5169.195

V. Petoukhov, A. Ganopolski, V. Brovkin, M. Claussen, A. Eliseev et al., CLIMBER-2: a climate system model of intermediate complexity. Part I: model description and performance for present climate, Climate Dynamics, vol.16, issue.1, pp.1-17, 2000.
DOI : 10.1007/PL00007919

V. Petoukhov, M. Claussen, A. Berger, M. Crucifix, M. Eby et al., EMIC Intercomparison Project (EMIP???CO2): comparative analysis of EMIC simulations of climate, and of equilibrium and transient responses to atmospheric CO2 doubling, Climate Dynamics, vol.115, issue.4, pp.363-385, 2005.
DOI : 10.1007/s00382-005-0042-3

S. Rahmstorf and A. Ganopolski, Long-Term Global Warming Scenarios Computed with an Efficient Coupled Climate Model, Climatic Change, vol.43, issue.2, pp.353-367, 1999.
DOI : 10.1023/A:1005474526406

G. Ramstein, M. Kageyama, J. Guiot, H. Wu, C. Hély et al., How cold was Europe at the Last Glacial Maximum? A synthesis of the progress achieved since the first PMIP model-data comparison, Clim. Past. Discuss, vol.3, pp.1-24, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00330755

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

S. E. Snell, S. Gopal, and R. K. Kaufmann, Spatial Interpolation of Surface Air Temperatures Using Artificial Neural Networks: Evaluating Their Use for Downscaling GCMs, Journal of Climate, vol.13, issue.5, pp.886-895, 2000.
DOI : 10.1175/1520-0442(2000)013<0886:SIOSAT>2.0.CO;2

M. Vrac and P. Naveau, Stochastic downscaling of precipitation: From dry events to heavy rainfalls, Water Resources Research, vol.12, issue.213, pp.10-1029, 2007.
DOI : 10.1029/2006WR005308

M. Vrac, M. Stein, and K. Hayhoe, Statistical downscaling of precipitation through nonhomogeneous stochastic weather typing, Climate Research, vol.34, pp.169-18410, 2007.
DOI : 10.3354/cr00696

M. Vrac, M. Stein, K. Hayhoe, and X. L. Liang, A general method for validating statistical downscaling methods under future climate change, Geophysical Research Letters, vol.62, issue.18, pp.10-1029, 2007.
DOI : 10.1029/2007GL030295

R. L. Wilby, T. M. Wigley, D. Conway, P. D. Jones, B. C. Hewitson et al., Statistical downscaling of general circulation model output: A comparison of methods, Water Resources Research, vol.22, issue.11, pp.2995-3008, 1998.
DOI : 10.1029/98WR02577

D. S. Wilks and R. L. Wilby, The weather generation game: a review of stochastic weather models, Progress in Physical Geography, pp.329-357, 1999.
DOI : 10.1191/030913399666525256

D. S. Wilks, Multisite downscaling of daily precipitation with a stochastic weather generator, Climate Research, vol.11, pp.125-136, 1999.
DOI : 10.3354/cr011125

A. W. Wood, L. R. Leung, V. Sridhar, and D. P. Lettenmaier, Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs, Climatic Change, vol.62, issue.1-3, pp.669-682, 2007.
DOI : 10.1023/B:CLIM.0000013685.99609.9e

M. Vrac, Non-linear statistical downscaling over Europe 216, 2004.
DOI : 10.5194/cp-3-669-2007

URL : http://doi.org/10.5194/cp-3-669-2007

S. N. Wood, Modelling and smoothing parameter estimation with multiple quadratic penalties, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.62, issue.2, pp.413-428, 2000.
DOI : 10.1111/1467-9868.00240

S. N. Wood, Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models, Journal of the American Statistical Association, vol.99, issue.467, pp.673-686, 2004.
DOI : 10.1198/016214504000000980

H. Wu, J. Guiot, S. Brewer, and Z. Guo, Climatic changes in Eurasia and Africa at the last glacial maximum and mid-Holocene: reconstruction from pollen data using inverse vegetation modelling, Climate Dynamics, vol.7, issue.3, pp.211-22910, 2007.
DOI : 10.1007/s00382-007-0231-3

URL : https://hal.archives-ouvertes.fr/hal-00866993

E. Zorita and H. Von-storch, The Analog Method as a Simple Statistical Downscaling Technique: Comparison with More Complicated Methods, Journal of Climate, vol.12, issue.8, pp.2474-2489, 1998.
DOI : 10.1175/1520-0442(1999)012<2474:TAMAAS>2.0.CO;2