키워드 네트워크 분석법을 활용한 태풍 연구동향 분석

Due to frequent occurrences of abnormal weather caused by climate change, damages from natural disasters are increasing. In particular, typhoons account for 54.2% of the total damage and 57.8% of the total recovery costs in the country. As the frequency and intensity of typhoons invading the Korean Peninsula are increasing, accurate prediction of typhoon track and intensity is essential. However, typhoon intensity prediction technology has not improved significantly compared to typhoon track prediction. In this study, we investigated recent trends in typhoon research and development using keyword network analysis of domestic and international research papers from 2017 to 2021, and visualized the results with VOS viewer. As a result of the analysis, The trend of typhoon research is summarized into four clusters as follows: first, Cluster 1 represents the research on the prediction of tracking the typhoon patch, and intensity. Second, Cluster 2 represents studies of data assimilation and modeling based on observation data. third, Cluster 3 shows the research on the correlation between climate change and typhoons, and Cluster 4 are study of the interaction between typhoons and atmospheric circulation. In particular, the research topics of Cluster 1 are linked and expanded with the research topics of Cluster 2, Cluster 3, and Cluster 4. In order to improve the accuracy of typhoon prediction, further research needs to be conducted on various characteristics and intensity of typhoons due to climate change accordingly.