Z. Li, X. Li, Y. Wang, and S. M. Quiring, Impact of climate change on precipitation, 2019.

. L'agence-parisienne-du-climat and . Météo-france, Le changement climatique en France au XXeme siècle, vol.2015, pp.978-980, 2016.

E. Hawkins and R. Sutton, The potential to narrow uncertainty in projections of regional precipitation change, Clim. Dyn, vol.37, pp.407-418, 2011.

D. W. Thompson, E. A. Barnes, C. Deser, W. E. Foust, and A. S. Phillips, Quantifying the role of internal climate variability in future climate trends, J. Clim, vol.28, pp.6443-6456, 2015.

D. Gellens and E. Roulin, Streamflow response of Belgian catchments to IPCC climate change scenarios, J. Hydrol, vol.210, pp.242-258, 1998.

. Website, , pp.23-2019

A. G. Pendergrass, R. Knutti, F. Lehner, C. Deser, and B. M. Sanderson, Precipitation variability increases in a warmer climate, 2017.

S. Verrier, C. Mallet, and L. Barthès, Multiscaling properties of rain in the time domain, taking into account rain support biases, Journal of Geophysical Research, vol.116, p.20119, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00635865

N. Akrour, A. Chazottes, S. Verrier, C. Mallet, and L. Barthès, Simulation of yearly rainfall time series at microscale resolution with actual properties: Intermittency, scale invariance, and rainfall distribution Water Resources Research, vol.51, pp.7417-7435, 2015.

. M. Dilmi, Méthodes de classification des séries temporelles de précipitations : application à un réseau de pluviomètres, 2019.

M. D. Dilmi, L. Barthès, C. Mallet, and A. Chazottes, Iterative multiscale dynamic time wapring : a tool for rainfall time series comparison, International Journal of Data Science and analytics, 2019.

H. Sakoe and S. Chiba, A similarity evaluation of speech patterns by dynamic programming, Dig. Nat. Meeting, Inst. Electron. Comm. Eng. Japan, p.136, 1970.

S. S. Chan and P. , FastDTW: Toward accurate dynamic time warping in linear time and space, vol.11, pp.561-580, 2007.

L. Kaufman and P. J. Rousseeuw, Clustering by means of medoids, pp.405-416, 1987.

S. Harikumar and S. Pv, K-medoid Clustring for Heterogeneous DataSets, Procedia Computer Science, vol.70, pp.226-237, 2015.

J. M. Moisselin, M. Schneider, C. Canellas, and O. Mestre, Le changement climatique en France au XXeme siècle : Étude des longues séries homogénéisées de données de température et de precipitations, vol.38, pp.45-56, 2002.