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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제9권 제5호
- 발행연도
- 2007.1
- 수록면
- 2,109 - 2,116 (8page)
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This paper deals with usefulness of generalized extreme value distribution based. Annual maxima of daily rainfall data dating from 1901 to 2006 are modeled for ten locations in South Korea. The generalized extreme value distribution (GEVD) is fitted to data from each location. The location parameter of the GEVD is formulated as a function of time to describe the extremes of rainfall and to predict their future behaviors. We quantified the change in extreme rainfall for each location and provided return levels for the years 2016, 2026, 2056, 2106. We also derived estimates of return levels for extreme rainfall. This approach is applied to extreme daily rainfall data for Seoul Korea. The return level of heavy rainfall is calculated from the GEVD models.
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참고문헌 (10)
참고문헌 신청
/ / Korea Meteorological Administration
Coles S. / 2001 / An introduction to statistical modelling of extreme values / Springer
Kotz S. / 1999 / Extreme value distributions / Imperial College Press
Nadarajah S. / 2005 / Extremes of daily rainfall in west central Florida / Climate Change 69 : 325 ~ 342
Park C. / 2001 / The comparison of scale parameter estimation in normal population / Journal of the Korean Data Analysis Society 3 (2) : 115 ~ 132
Coles S. / 2001 / An introduction to statistical modelling of extreme values / Springer
Kotz S. / 1999 / Extreme value distributions / Imperial College Press
Nadarajah S. / 2005 / Extremes of daily rainfall in west central Florida / Climate Change 69 : 325 ~ 342
Park C. / 2001 / The comparison of scale parameter estimation in normal population / Journal of the Korean Data Analysis Society 3 (2) : 115 ~ 132
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