J. Bacro and C. Gaetan, A Review on Spatial Extreme Modelling, Advances and Challenges in Spacetime Modelling of Natural Events, pp.103-124, 2012.
DOI : 10.1007/978-3-642-17086-7_5
URL : https://hal.archives-ouvertes.fr/hal-00801488

J. Beuvier, F. Sevault, M. Herrmann, H. Kontoyiannis, W. Ludwig et al., Modeling the Mediterranean Sea interannual variability during 1961???2000: Focus on the Eastern Mediterranean Transient, Journal of Geophysical Research, vol.24, issue.34, p.115, 1978.
DOI : 10.1029/2009JC005950

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

D. Cooley, P. Naveau, and P. Poncet, Variograms for spatial max-stable random fields, Dependence in probability and statistics, pp.373-390, 2006.
DOI : 10.1007/0-387-36062-X_17

A. C. Davison and M. M. Gholamrezaee, Geostatistics of extremes Subject collections, 2011.

L. De-haan and T. T. Pereira, Spatial extremes: Models for the stationary case. The annals of statistics, pp.146-168, 2006.

L. De-haan, A spectral representation for max-stable processes. The Annals of Probability, pp.1194-1204, 1984.

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, pp.180-190, 1928.
DOI : 10.1017/S0305004100015681

B. Gnedenko, Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire, The Annals of Mathematics, vol.44, issue.3, pp.423-453, 1943.
DOI : 10.2307/1968974

M. J. Herrmann and S. Somot, Relevance of ERA40 dynamical downscaling for modeling deep convection in the Mediterranean Sea, Geophysical Research Letters, vol.53, issue.2???3, 2008.
DOI : 10.1029/2007GL032442
URL : https://hal.archives-ouvertes.fr/hal-00195054

P. Jonathan, D. Randell, Y. Wu, and K. Ewans, Return level estimation from non-stationary spatial data exhibiting multidimensional covariate effects, Ocean Engineering, vol.88, 2013.
DOI : 10.1016/j.oceaneng.2014.07.007

Z. Kabluchko, M. Schlather, and L. De-haan, Stationary max-stable fields associated to negative definite functions. The Annals of Probability, pp.2042-2065, 2009.

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

N. Raillard, P. Ailliot, and J. Yao, Modeling extreme values of processes observed at irregular time steps: Application to significant wave height, The Annals of Applied Statistics, vol.8, issue.1, pp.1-26, 2014.
DOI : 10.1214/13-AOAS711SUPP
URL : https://hal.archives-ouvertes.fr/hal-00656473

M. Ribatet, R. Singleton, and R. Team, Spatialextremes: modelling spatial extremes. R package version, pp.1-8, 2011.

M. Schlather, Models for stationary max-stable random fields, Extremes, vol.5, issue.1, pp.33-44, 2002.
DOI : 10.1023/A:1020977924878

M. Schlather and J. A. Tawn, A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, vol.90, issue.1, pp.139-156, 2003.
DOI : 10.1093/biomet/90.1.139

R. L. Smith, Max-stable processes and spatial extremes, 1990.

H. L. Tolman, User manual and system documentation of wavewatch iii R version 4.18, 2014.

C. Varin and P. Vidoni, A note on composite likelihood inference and model selection, Biometrika, vol.92, issue.3, pp.519-528, 2005.
DOI : 10.1093/biomet/92.3.519