Detection of ENSO-influence on the monthly precipitation in South Korea
Jin, Y H ; Kawamura, A ; Jinno, K and Berndtsson, Ronny LU
(2005)
In Hydrological Processes
19(20).
p.4081-4092
- Abstract
- During the latest several decades, there has been considerable interest in revealing the relationship between El Nino-southern oscillation (ENSO) and hydro-meteorological variables. The oscillation is characterized by a simple index, the southern oscillation index (SOI). However, thus far, there is little evidence for the influence of ENSO in Korea and Japan. The influence of ENSO has also been studied in South Korea, but the estimated results are still qualitative and show an indirect relationship between ENSO and hydro-meteorological variables. In this study we use simple approaches to reveal the quantitative and direct correlation between SOI and the monthly precipitation at five stations distributed over South Korea. The monthly... (More)
- During the latest several decades, there has been considerable interest in revealing the relationship between El Nino-southern oscillation (ENSO) and hydro-meteorological variables. The oscillation is characterized by a simple index, the southern oscillation index (SOI). However, thus far, there is little evidence for the influence of ENSO in Korea and Japan. The influence of ENSO has also been studied in South Korea, but the estimated results are still qualitative and show an indirect relationship between ENSO and hydro-meteorological variables. In this study we use simple approaches to reveal the quantitative and direct correlation between SOI and the monthly precipitation at five stations distributed over South Korea. The monthly precipitation data are transformed into nonexceedance probability time series because the data cannot be normally distributed by applying the usual transformations. The SOI is classified into five categories according to their values. Additionally, to detect the nonlinear relationship between categorized SOI and nonexceedance probability of the monthly precipitation, we use Kendall's tau, a nonparametric test. Significant correlations between the categorized SOI and the transformed precipitation are detected. Generally, the monthly precipitation is influenced by a La Nina event with a lag time of 4 months for southern coastal areas and a lag time of 5 months for middle to high regions in South Korea. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/209756
- author
- Jin, Y H
; Kawamura, A
; Jinno, K
and Berndtsson, Ronny
LU
- organization
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- categorization, southern oscillation index (SOI), probability, nonexceedance, Kendall's iota, South Korea
- in
- Hydrological Processes
- volume
- 19
- issue
- 20
- pages
- 4081 - 4092
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000234705200010
- scopus:30744449958
- ISSN
- 1099-1085
- DOI
- 10.1002/hyp.5873
- language
- English
- LU publication?
- yes
- id
- cf62f08e-b7cf-4dbb-9145-41c3f5a83030 (old id 209756)
- date added to LUP
- 2016-04-01 12:19:27
- date last changed
- 2022-10-04 08:10:14
@article{cf62f08e-b7cf-4dbb-9145-41c3f5a83030,
abstract = {{During the latest several decades, there has been considerable interest in revealing the relationship between El Nino-southern oscillation (ENSO) and hydro-meteorological variables. The oscillation is characterized by a simple index, the southern oscillation index (SOI). However, thus far, there is little evidence for the influence of ENSO in Korea and Japan. The influence of ENSO has also been studied in South Korea, but the estimated results are still qualitative and show an indirect relationship between ENSO and hydro-meteorological variables. In this study we use simple approaches to reveal the quantitative and direct correlation between SOI and the monthly precipitation at five stations distributed over South Korea. The monthly precipitation data are transformed into nonexceedance probability time series because the data cannot be normally distributed by applying the usual transformations. The SOI is classified into five categories according to their values. Additionally, to detect the nonlinear relationship between categorized SOI and nonexceedance probability of the monthly precipitation, we use Kendall's tau, a nonparametric test. Significant correlations between the categorized SOI and the transformed precipitation are detected. Generally, the monthly precipitation is influenced by a La Nina event with a lag time of 4 months for southern coastal areas and a lag time of 5 months for middle to high regions in South Korea.}},
author = {{Jin, Y H and Kawamura, A and Jinno, K and Berndtsson, Ronny}},
issn = {{1099-1085}},
keywords = {{categorization; southern oscillation index (SOI); probability; nonexceedance; Kendall's iota; South Korea}},
language = {{eng}},
number = {{20}},
pages = {{4081--4092}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Hydrological Processes}},
title = {{Detection of ENSO-influence on the monthly precipitation in South Korea}},
url = {{http://dx.doi.org/10.1002/hyp.5873}},
doi = {{10.1002/hyp.5873}},
volume = {{19}},
year = {{2005}},
}