Performance evaluation of SWAN ST6 physics forced by ERA5 wind fields for wave prediction in an enclosed basin

In this study, the performance of SWAN (Simulating WAves Nearshore) spectral wave model ST6 physics forced by ERA5 reanalysis wind data were evaluated in predicting properties an enclosed basin, Black Sea. validated against in-situ measurements. Although two match quite well, a 10–20% underestimation speeds and velocity components was found. Spectral modeling study conducted phases. first phase, 16 setup combinations generated using default parameterizations with different (Westhuysen, Komen, Janssen, ST6) sources (ERA5, ERA-Interim, CFSv2). The setups winds had highest correlation values combination performed better than others prediction heights. At next stage, calibrated at stations conducting 82 parameterizations. Chosen parameterization overall satisfying five buoys. Comparisons among similar runtime runs timesteps up to 60 min iteration steps four, show that higher iterations give results lower time one iteration. Debias scaling parameters found be most significant adjusting Comparison previous calibration studies indicated based on provided increased accuracy height predictions