This work presents the performance analysis of a multi-model ensembleof wave climate projections in the Mediterranean Sea against hindcastdata. The wave projections were developed with the numerical modelWavewatch III forced by surface wind fields of 17 EURO-CORDEXGCM-RCMs providing time series of the main wave parameters on a 3-hour and 10-km resolution. The performance of the wave GCM-RCMsimulations during the baseline period (1979 − 2005) was assessed bymeans of the deterministic metrics RM SE and Bias. Different biascorrection methodologies were analyzed by means of the application ofthe widespread Empirical Quantile Mapping method considering differ-ent temporal periods of significant wave height in order to analyze theability of the bias-correcting methods to capture the different wave cli-mate temporal scales ranging from storm events, monthly, seasonal andinterannual variability. The results show that the use of the EQM methodfor the full time series without taking into account other timescales,can lead to increased biases in some regions and seasons and that theuse of time-dependent bias-correction techniques leads to an improved accurate characterization of biases considering the interannual tempo-ral variability of significant wave height. More specifically the use of theEQM method for monthly data provides a good performance in capturingthe correlation and interannual temporal variability of wave climate.