Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III

Abstract

A regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensitivity of the interaction between input wind and wave development. The forecasts for each condition were compared and verified with the observational data of marine meteorological buoys from 1 August to 30 September 2020. The sensitivity conditions were configured to have a specific range of variables related to the directional distribution of input winds (SINA0) and variables indicating the development of input wind–wave (CDFAC) in the ST6. The results were presented by calculating the mean error and root mean square error for all observation points. Overall, as the CDFAC increased, the mean error tended to decrease according to the forecast time and the root mean square error increased. Although the effect of SINA0 at the same CDFAC was insignificant, when SINA0 increased in sections where the significant wave height decreased rapidly, the significant wave height tended to decrease. In addition, the main variables that affect the physical process of wind–wave interaction should be considered to improve wave model forecasting performance and accuracy.

Wind Waves Web Atlas of the Russian Seas

“…The general quality estimates of our implementation (Section 2.2) are comparable to the quality of other reanalyses [19,75,76]. Next, we decided to assess the quality of our wave model implementation based on an unstructured grid using direct wave measurements.…”

“…In this case, the waves come from the Pacific Ocean to the north and pass through the straits of the Aleutian Islands. The width of some straits is less than the resolution of 0.5°, so in the case of a high-resolution unstructured grid, more wave energy passes through The general quality estimates of our implementation (Section 2.2) are comparable to the quality of other reanalyses [19,75,76]. Next, we decided to assess the quality of our wave model implementation based on an unstructured grid using direct wave measurements.…”