Abstract: First, the ERA5 reanalysis wind field is utilized as the input to drive SWAN model. The interpolation refinement was carried out and wind speeds were corrected using the 7-month measured hourly wind field data. As a result, the deficit of underestimation of central wave wind speed during storm surge was removed and the overall accuracy of ERA 5 was improved. Second, Based on SWAN model, two typical storm surge processes occurred in Qinhuangdao sea area in recent years were simulated. After parameter calibration and wind field correction, the simulation accuracy of significant wave height, significant wave period and average wave direction was improved. The statistics of wave seasonal characteristics in Qinhuangdao sea area was further investigated via conducting simulations using validated SWAN model covering 42 years from 1980 to 2021. The conclusions are of great value for the ecological restoration engineering and coastal disaster prevention and mitigation.