Abstract
Several studies have tried to link southern oscillation index (Sol) and observed precipitation in Korea and Japan. However, so far no clear relationship between the Sol and the precipitation in the area has been found. In the present study, categorized Sol are used to reveal quantitative and statistically significant influence on monthly precipitation at Busan in Korea and at Fukuoka in Japan. Monthly precipitation data were transformed to cubic root and nonexceedance probability time series. Correlation between the categorized Sol and transformed precipitation was calculated by Kendall's tau and Pearson's r. The results show that significant correlation is at hand when using both approaches. Significant correlation at the 1% level was obtained with lag time of 4 months under the 'Strong La Nina' category (SOI>2) at both stations. The results show that southern Korea and southern parts of Japan are located in the same or very close influence range of Sol.
Original language | English |
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Pages (from-to) | 54-65 |
Journal | Journal of Hydrology |
Volume | 301 |
Issue number | 1-4 |
DOIs | |
Publication status | Published - 2005 |
Subject classification (UKÄ)
- Water Engineering
Free keywords
- nonexceedance
- southern oscillation index (SOI)
- categorization of SOI
- Kendall's tau
- probability