Validation of Wave Forecasting with the Sverdrup, Munk, and Bretschneider (SMB) Method Using Easywave Algorithm

Wave information is crucial for maritime activities such as marine transportation, offshore exploration, fisheries, safety management system on ships, coastal development, and coastal disaster mitigation. The Sverdrup, Munk, Bretschneider. SMB is one of the most common methods used for wave forecasting. In the present study, we examine the validation of Easywave, an algorithm that automates wave forecasting with the SMB method. The results are validated using observational data and analyzed using Mean Relative Error (MRE), Root Mean Square Error (RMSE), and a bias value. The level of accuracy of forecasting using the Easywave algorithm is 89.87% for Hs and 78.43% for Ts. The level of precision obtained by on-field observation data is $\pm \mathbf{0.14\ m}$ for Hs and $\pm\mathbf{0.26\ s}$ for Ts.