Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island

Myoung Jin Um, Jun Haeng Heo, Nam Won Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this study, we use factor analysis and spatial analysis to study the spatio-temporal distribution of daily precipitation on Jeju Island, which includes marine and mountainous areas. The precipitation time series from 82 weather stations were used to fill in missing and ungauged data for some periods at 38 stations, and then the daily spatial distribution was analyzed from 1992 to 2013. Factor analysis and multiple regression showed that the statistical characteristics of the extended data fit well to those of the observed time series. The point precipitation characteristics, such as the mean and standard deviation, show small differences between observed and extended data, and the relationships to elevation also have similar behavior for seasonal and annual precipitation. However, the spatial precipitation characteristics for observed and extended data show significant differences with respect to elevation because the data for high-elevation areas are mainly interpolated for the period 1992 to 2013. For annual and five-year moving-average spatial precipitation, the amount of precipitation shows seasonal and spatial variability. Annual spatial precipitation in high-elevation areas usually shows high variation over time. These results suggest the need to consider completing missing and ungauged data series for assessment the spatio-temporal variation of precipitation.

Original languageEnglish
Pages (from-to)236-249
Number of pages14
JournalAtmospheric Research
Volume181
DOIs
Publication statusPublished - 2016 Nov 15

Fingerprint

orographic effect
temporal variation
factor analysis
time series
weather station
spatial analysis
temporal distribution
multiple regression
spatial distribution

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

@article{776225aaf94b467f82fd5d16b86d8132,
title = "Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island",
abstract = "In this study, we use factor analysis and spatial analysis to study the spatio-temporal distribution of daily precipitation on Jeju Island, which includes marine and mountainous areas. The precipitation time series from 82 weather stations were used to fill in missing and ungauged data for some periods at 38 stations, and then the daily spatial distribution was analyzed from 1992 to 2013. Factor analysis and multiple regression showed that the statistical characteristics of the extended data fit well to those of the observed time series. The point precipitation characteristics, such as the mean and standard deviation, show small differences between observed and extended data, and the relationships to elevation also have similar behavior for seasonal and annual precipitation. However, the spatial precipitation characteristics for observed and extended data show significant differences with respect to elevation because the data for high-elevation areas are mainly interpolated for the period 1992 to 2013. For annual and five-year moving-average spatial precipitation, the amount of precipitation shows seasonal and spatial variability. Annual spatial precipitation in high-elevation areas usually shows high variation over time. These results suggest the need to consider completing missing and ungauged data series for assessment the spatio-temporal variation of precipitation.",
author = "Um, {Myoung Jin} and Heo, {Jun Haeng} and Kim, {Nam Won}",
year = "2016",
month = "11",
day = "15",
doi = "10.1016/j.atmosres.2016.07.007",
language = "English",
volume = "181",
pages = "236--249",
journal = "Atmospheric Research",
issn = "0169-8095",
publisher = "Elsevier BV",

}

Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island. / Um, Myoung Jin; Heo, Jun Haeng; Kim, Nam Won.

In: Atmospheric Research, Vol. 181, 15.11.2016, p. 236-249.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island

AU - Um, Myoung Jin

AU - Heo, Jun Haeng

AU - Kim, Nam Won

PY - 2016/11/15

Y1 - 2016/11/15

N2 - In this study, we use factor analysis and spatial analysis to study the spatio-temporal distribution of daily precipitation on Jeju Island, which includes marine and mountainous areas. The precipitation time series from 82 weather stations were used to fill in missing and ungauged data for some periods at 38 stations, and then the daily spatial distribution was analyzed from 1992 to 2013. Factor analysis and multiple regression showed that the statistical characteristics of the extended data fit well to those of the observed time series. The point precipitation characteristics, such as the mean and standard deviation, show small differences between observed and extended data, and the relationships to elevation also have similar behavior for seasonal and annual precipitation. However, the spatial precipitation characteristics for observed and extended data show significant differences with respect to elevation because the data for high-elevation areas are mainly interpolated for the period 1992 to 2013. For annual and five-year moving-average spatial precipitation, the amount of precipitation shows seasonal and spatial variability. Annual spatial precipitation in high-elevation areas usually shows high variation over time. These results suggest the need to consider completing missing and ungauged data series for assessment the spatio-temporal variation of precipitation.

AB - In this study, we use factor analysis and spatial analysis to study the spatio-temporal distribution of daily precipitation on Jeju Island, which includes marine and mountainous areas. The precipitation time series from 82 weather stations were used to fill in missing and ungauged data for some periods at 38 stations, and then the daily spatial distribution was analyzed from 1992 to 2013. Factor analysis and multiple regression showed that the statistical characteristics of the extended data fit well to those of the observed time series. The point precipitation characteristics, such as the mean and standard deviation, show small differences between observed and extended data, and the relationships to elevation also have similar behavior for seasonal and annual precipitation. However, the spatial precipitation characteristics for observed and extended data show significant differences with respect to elevation because the data for high-elevation areas are mainly interpolated for the period 1992 to 2013. For annual and five-year moving-average spatial precipitation, the amount of precipitation shows seasonal and spatial variability. Annual spatial precipitation in high-elevation areas usually shows high variation over time. These results suggest the need to consider completing missing and ungauged data series for assessment the spatio-temporal variation of precipitation.

UR - http://www.scopus.com/inward/record.url?scp=84978286867&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978286867&partnerID=8YFLogxK

U2 - 10.1016/j.atmosres.2016.07.007

DO - 10.1016/j.atmosres.2016.07.007

M3 - Article

AN - SCOPUS:84978286867

VL - 181

SP - 236

EP - 249

JO - Atmospheric Research

JF - Atmospheric Research

SN - 0169-8095

ER -