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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.7
- 수록면
- 547 - 555 (9page)
- DOI
- 10.7465/jkdi.2024.35.4.547
이용수
초록· 키워드
오류제보하기
Recent research suggests a potential link between warmer climate conditions and an increase in Atlantic hurricane activity. This includes a rise in both the number of tropical storms and hurricanes, as well as their intensity, measured by the total power they dissipate. To assess their relationship, statistical models using climate data are essential for understanding tropical storm formation. In this paper, we propose a hierarchical Bayesian framework for predicting Atlantic tropical storm occurrences, with a specific focus on tropical Atlantic sea surface temperatures. Utilizing climate data from 1900 to 2002, we employ hierarchical Bayesian modeling to find the relationships between hurricane occurrences and various climatic factors, including surface temperatures in both the northern Atlantic Sea and global, along with different Atlantic oscillations. Additionally, other relevant issues are also addressed.
목차
Abstract
1. Introduction
2. Analysis of Atlantic tropical storms
3. Results
4. Conclusion
References
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