Impacts of ENSO on monthly precipitation in South Korea and Fukuoka, Japan

Summary, in English

Simple but robust approaches were used to reveal the quantitative and statistically significant influence of the Southern Oscillation Index (SOI) on monthly precipitation at five stations distributed over South Korea and Fukuoka, Japan. The monthly precipitation data were transformed into non-exceedence probability time series. SOI is classified into five categories. Correlation between the categorized SOI and transformed precipitation was calculated by Kendall's τ. The results show significant correlations when using the above methodological schemes. The spatial distribution of ENSO influence is obtained from the correlation results. Fukuoka and the southern coastal area of South Korea showed very strong and significant correlation coefficients with a lag time of four months under the "Strong La Niña" category. The middle to northern area showed a significant correlation with the common lag time of five months under the "Weak La Niña" and "Strong La Niña" categories.

• Author: Akira Kawamura; Young Hoon Jin; Kenji Jinno; Ronny Berndtsson
• Department/s: Division of Water Resources Engineering
• Publishing year: 2005
• Language: English
• Pages: 246-254
• Publication/Series: IAHS-AISH Publication
• Document type: Conference paper
• Publisher: IAHS
• Topic: Meteorology and Atmospheric Sciences
• Keywords: Categorization of SOI; El Niño; Influence of ENSO; Japan; Kendall's τ; Korea; La Niña; Non-exceedence probability; SOI
• Conference name: Seventh IAHS Scientific Assembly
• Conference date: 2005-04-01
• Conference place: Foz do Iguaçu, Brazil
• Status: Published
• ISBN/ISSN/Other: ISSN: 0144-7815