Visualization of Decision-Making Support (DMS) Information for Responding to a Typhoon-Induced Disaster
Authors: Dongmin Jang (Korea Institute of Science and Technology Information), Jin-Hee Yuk (Korea Institute of Science and Technology Information), Junghyun Park (Korea Institute of Science and Technology Information), Jooneun An (Korea Institute of Science and Technology Information), Minsu Joh (Korea Institute of Science and Technology Information)
Abstract: A high-resolution coupled atmosphere, ocean, and inundation (flood) modeling and simulation system was developed for scientific, accurate, fast, and efficient forecasting of typhoon-induced disasters. This is based on the KISTI decision-making support system (K-DMSS). Our prediction system consists of a typhoon, surge/wave, and flooding prediction and analysis systems (TPAS, SPAS, and FPAS). In this research, we simulated Typhoon ‘CHABA’ (1618), which was ranked third among the most intense tropical cyclones and was the most powerful typhoon in the Republic of Korea (South Korea) in 2016. The CHABA-induced storm surge and inundation were simulated using our prediction and analysis system. To understand intuitively the changes of physical phenomena and damage caused by the typhoon, numerical data sets produced by the prediction and analysis systems were visualized using VAPOR (Visualization and Analysis Platform for Ocean, atmosphere, and solar Researchers, and which is a part of the K-DMSS) as one of the visualization systems.
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