10:45 〜 12:15
[AAS03-P10] Spatio-Temporal Characteristics of Strong Winds on the Korean Peninsula: Typhoon and Non-Typhoon Periods
キーワード:Strong winds, Long-term weather observational data, Spatio-temporal analysis, WRN, Typhoon-Reday System (TRS)
In recent years, the intensity of typhoons affecting the Korean Peninsula has increased due to accelerating global warming resulting from climate change. Similarly, the frequency and intensity of strong winds during non-typhoon periods have increased rapidly, while damage from "strong winds" has also increased. Weather disasters on the Korean Peninsula, such as typhoons, torrential rains, and heat waves, mainly occur in the summer. However, unlike other weather disasters, strong winds occur throughout the year, and their frequency and intensity has gradually increased in recent years, resulting in enormous damage. However, unlike other weather disasters, the overall characteristics of strong winds during non-typhoon periods remain under-studied . Although a number of previous studies have examined strong winds on the Korean Peninsula, recent data from modern weather observations are generally not included; therefore, a re-analytical study from a long-term perspective is needed. Therefore, this study aims to establish basic data on the long-term spatio-temporal characteristics of strong winds occurring on the Korean Peninsula.
These results are expected to provide essential data that can inform preliminary disaster prevention against future strong wind events occurring in Korea. As additional data are obtained through further monitoring and various statistical analysis, high-quality baseline data can be compiled.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)
These results are expected to provide essential data that can inform preliminary disaster prevention against future strong wind events occurring in Korea. As additional data are obtained through further monitoring and various statistical analysis, high-quality baseline data can be compiled.
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)