*Woo-Sik Jung1, Hana Na1
(1.Department of Atmospheric Environment Information Engineering, INJE University.)
Keywords:Typhoon, Ready, System, TRS, Strong wind
The impact-based forecast varies based on country and institution, but it has the common meaning of “reducing the risk caused by weather disasters by predicting the damage of socioeconomic factors that may occur due to weather disasters.” Weather forecasts and special reports provided by domestic and foreign weather agencies in Korea are mainly focused on the physical characteristics of the weather. Thus, people and disaster agencies do not recognize how much the weather could affect the safety and property of the community, which then leads to having less efficient disaster reduction practices (WMO, 2015). Currently, the Korea Meteorological Administration is promoting the development of ‘impact-based forecast’ technology to support disaster prevention decision-making by providing information on the social and economic impacts of the weather, and carrying out heat wave and cold wave impact-based forecasts. However, it still does not officially provide the typhoon impact-based forecast service. The most important factor in forecasting the impact of typhoons is to maximize the scope of disaster prevention by estimating how extreme the weather is that may occur in an actual storm and providing damage information in advance. In other words, it is very important to accurately and quickly calculate detailed risk information for typhoons. This study introduces Typhoon Ready System (TRS) which analyzes and evaluates the risk of wind instrument and high concentration air pollution accompanied by typhoons, and especially, it introduces detailed introduction and calculation results of strong wind parts, then producing strong wind risk information. If the TRS introduced in this study is used to improve and develop typhoon impact-based forecasting technology, the huge damage caused by typhoons can be efficiently reduced.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)