All the routines to perform the clustering of the hindcast data have been developed in Matlab. The code Case_study.m allows to reproduce the examples outlined in chapter 3.2, Figs. 15-16 of the manuscript: "On the selection of time-varying scenarios of wind and ocean waves: methodologies and applications in the North Tyrrhenian Sea" Submitted to "Ocean Modelling" - Elsevier, and currently is available online. The code needs to be fed with the data stored into the "hind_param.mat" and "clusters.mat" files, attached to this repo. Please note that the wave parameters stored into "hind_param.mat" cannot be employed for commercial purposes. In case they are meant to be used for research, reference has to be made to: - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2013). Developing and validating a forecast/hindcast system for the Mediterranean Sea. Journal of Coastal Research, 65(sp2), 1551-1556. - Mentaschi, L., Besio, G., Cassola, F., & Mazzino, A. (2015). Performance evaluation of Wavewatch III in the Mediterranean Sea. Ocean Modelling, 90, 82-94. For further inquires about the hindcast data, please contact meteocean@dicca.unige.it. Finally, results of the sensitivity analysis of CE and W2 with respect to varying number of clusters are stored into the zip files "CE.zip" and "W2.zip", respectively (Figs. from 2 to 8 of the submitted manuscript). Each *dat file refers to a particular set of the data inital conditions (see manuscript), and it is labeled as follows: "*_[FIRST YEAR OF TRAINING]_[LAST YEAR OF TRAINING]_[FIRST YEAR OF VALIDATION]_[LAST YEAR OF VALIDATION]_ [TOTAL NUMBER OF TIME STEPS]_[TIME SHIFT BETWEEN SUCCESSIVE SCENARIOS]_*_[INITIAL TIME RESOLUTION]_*_ [VARIABLES EMPLOYED].dat" For further information, please contact Giulia Cremonini at: giulia.cremonini@edu.unige.it