IMPROVING TYPHOON AND WAVE FORECASTING ACCURACY USING SHIP OBSERVATION DATA AND ITS IMPACT ON SHIP ROUTE SELECTION

Abstract

 Weather routing (WR) using meteorological and wave forecasts is effective for safe and efficient ship operations. This study assumes an increase in maritime weather observation points due to future maritime demand and automatic observation efficiency. We analyzed the impact of assimilating data from a hypothetical maritime weather observation network on typhoon and wave forecast accuracy and its influence on route selection. Results showed that assimilating atmospheric pressure observations significantly improved typhoon track, intensity, and wave forecasts. This improvement in forecasts also affected optimal ship routing, indicating that future ship observation networks could enhance operational efficiency. Further case studies under diverse meteorological and observation conditions, considering observation costs and more realistic scenarios, are necessary.