Sensitivity of Typhoon Forecast to Prescribed Sea Surface Temperature Data

This study investigates the impact of sea surface temperature (SST) on forecast two typhoons, which consecutively hit South Korea in 2020. SST data were obtained from Daily Optimum Interpolation Sea Surface Temperature (OISST) version 2 and HYbrid Coordinate Ocean Model/Navy Coupled Data Assimilation (HYCOM/NCODA; GLBy0.08/expt_93.0). When verified using situ observational data, OISST did not accurately estimate changes during each typhoon’s landfall period compared to HYCOM since it has a relatively low temporal resolution. To investigate these typhoon forecasts, we conducted sensitivity experiments Weather Research Forecasting (WRF) model. The results showed that simulated intensities significantly improved simulations with (HY runs), while track performances similar both runs. In addition, maximum wind speed at 10 m HY Therefore, this overall intensity could be when higher temporal-resolution prescribed model boundary conditions for better representation typhoon-induced changes.