On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations

Abstract This work presents the performance analysis of a multi-model ensemble wave climate projections in Mediterranean Sea against hindcast data. The were developed with numerical model Wavewatch III forced by surface wind fields 17 EURO-CORDEX GCM-RCMs providing time series main parameters on 3-h and 10-km resolution. GCM-RCM simulations during baseline period (1979–2005) was assessed means deterministic metrics RMSE Bias . Different bias correction methodologies analyzed application widespread Empirical Quantile Mapping method considering different periods significant height order to analyze ability bias-correcting methods capture temporal scales ranging from storm events, monthly, seasonal interannual variability. results show that use EQM for full-time without taking into account other timescales, can lead increased biases some regions seasons time-dependent bias-correction techniques leads an improved accurate characterization variability height. More specifically monthly data provides good capturing correlation climate.