Both the propagation velocity and the direction of atmospheric waves are important factors for analyzing and forecasting meteo-tsunami. In this study, a total of 14 events of meteo-tsunami over 11 years (2006-2016) are selected through analyzing sea-level data observed from tidal stations along the west coast of the Korean peninsula. The propagation velocity and direction are calculated by tracing the atmospheric disturbance of each meteo-tsunami event predicted by the WRF model. Then, the Froude number is calculated using the propagation velocity of atmospheric waves and oceanic long waves from bathymetry data. To derive the critical condition for the occurrence of meteo-tsunami, supervised learning using a logistic regression algorithm is conducted. It is concluded that the threshold distance of meteo-tsunami occurrence, from a propagation direction, can be calculated by the amplitude of air-pressure tendency and the resonance factor, which are found using the Froude number. According to the critical condition, the distance increases logarithmically with the ratio of the amplitude of air-pressure tendency and the square of the resonance factor, and meteo-tsunami do not occur when the ratio is less than 5.11 hPa/10 min.

1. 서 론
 2. 자료, 모델 및 연구방법
  2.1. 관측자료
  2.2. 모델
  2.3. 연구방법
 3. 기상해일발생 사례일
  3.1. 조위관측자료 분석
  3.2. 기압관측자료 분석
 4. 기상해일발생 임계조건
  4.1. 수치기상모델링
  4.2. 통계분석 및 검증
 5. 요약 및 결론
 감사의 글
 REFERENCES

• 최요환(부산대학교 지구환경시스템학부) | Yo-Hwan Choi (Division of Earth Environmental System, Pusan National University)
• 김현수(홍콩과학기술대학교 환경과학부) | Hyunsu Kim (Division of Environmental and Sustainability, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong)
• 우승범(인하대학교 해양과학과) | Seung-Buhm Woo (Department of Oceanography, Inha University)
• 김명석(인하대학교 해양과학과) | Myung-Seok Kim (Department of Oceanography, Inha University)
• 김유근(부산대학교 대기환경과학과) | Yoo-Keun Kim (Department of Atmospheric Environmental Science, Pusan National University) Corresponding author