11. EVALUATION AND SELECTION OF SEA SURFACE TEMPERATURE DATA TO CALCULATE RAINFALL IN HUE CITY

Tóm tắt

Sea Surface Temperature (SST) plays a crucial role in atmospheric processes such as evaporation and cloud formation. When the SST increases, the amount of water vapor in the atmosphere also rises, enhancing convection and leading to more intense rainfall. In this study, SST data from two sources - the Global Forecast System (GFS) of the National Oceanic and Atmospheric Administration (NOAA) and the Integrated Forecast System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF) - were used to assess their impact on the simulation of 20 rainfall events in Hue City during the period 2015 - 2025 using the WRF model. The simulation results at four rainfall observation stations (A Luoi, Hue, Nam Dong, and Thuong Nhat) indicate that the model's average accuracy improved by 6.25 % when using GFS SST data and by 13.75 % when using IFS SST data. In addition, SST data clearly enhanced simulation accuracy for rainfall events associated with weather systems such as storms, tropical depressions, northeast monsoon winds, easterly disturbances, and their combinations - except for cases influenced by the Intertropical Convergence Zone. Based on these results, the authors recommend using IFS SST data in the WRF model for more accurate rainfall calculation and forecasting in Hue City.