Japan Geoscience Union Meeting 2022

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS04] Extreme Events: Observations and Modeling

Sun. May 29, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (7) (Ch.07)

convener:Sridhara Nayak(Disaster Prevention Research Institute, Kyoto University), convener:Tetsuya Takemi(Disaster Prevention Research Institute, Kyoto University), Satoshi Iizuka(National Research Institute for Earth Science and Disaster Resilience), Chairperson:Satoshi Iizuka(National Research Institute for Earth Science and Disaster Resilience), Sridhara Nayak(Disaster Prevention Research Institute, Kyoto University), Tetsuya Takemi(Disaster Prevention Research Institute, Kyoto University)

11:00 AM - 1:00 PM

[AAS04-P05] Cluster Analysis of Strong Wind Data on the Korean Peninsula during the Non-Typhoon Period.

*Woo-Sik Jung1 (1.Department of Atmospheric Environment Information Engineering, INJE University.)

Keywords:Non-Typhoon, Strong wind, Cluster analysis

In this study, the temporal and spatial characteristics of typhoon-class strong winds that occurred on the Korean Peninsula during the last 19 years (2001–2019) were analyzed. Cluster analysis was conducted on strong winds during the non-typhoon period to explain regional characteristics. The analysis was performed using wind speed data from Automated Synoptic Observing System(ASOS), BOUY, and BEACON. As a result of the analysis, even at nearby points, the intensity and frequency of strong winds during the non-typhoon period were different. In particular, the incidence rate and wind speed of strong winds during the non-typhoon period were very diverse for each of the six clusters. The distribution characteristics of the observation points corresponding to the cluster were also diverse.
Based on the results of this study, it is necessary to consider different analysis criteria for strong winds during the non-typhoon period by classifying regions’ targeting points showing the same strong wind characteristics in terms of disaster prevention.

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)