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Cited 3 time in webofscience Cited 5 time in scopus
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Variability of Extreme Events in Coastal and Inland Areas of South Korea during 1961–2020open access

Authors
Dubey, Swatantra KumarKim, JungJinHwang, SyewoonHer, YoungguJeong, Hanseok
Issue Date
Aug-2023
Publisher
MDPI Open Access Publishing
Keywords
climate change; coastal; consecutive dry days; extreme indices; inland
Citation
Sustainability, v.15, no.16
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Sustainability
Volume
15
Number
16
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/67676
DOI
10.3390/su151612537
ISSN
2071-1050
2071-1050
Abstract
The increased concentrations of greenhouse gases have led to global warming and an increased frequency and intensity of extreme weather events. Such changes in weather patterns may have unexpected implications for everyday life and water resource management in coastal and inland areas; thus, it is critical to understand the pattern of the changes. This study investigated how extreme weather events have changed in inland and coastal South Korea in the past 60 years (1961–2020) at different temporal scales, from monthly to yearly. This study quantified extreme weather events using multiple meteorological indices such as consecutive dry days (CDD), consecutive wet days (CWD), tropical nights, and icy and frosty days. The trends in the extreme weather indices were statistically tested using a non-parametric test. The results showed increases in the minimum and maximum air temperature and the frequency of warm and cold nights and days. The number of CDD and maximum five-day precipitation (RX5day) at the coastal and inland stations increased in the extreme precipitation-related index. The number of warm days and warm nights increased significantly at the majority of weather stations over the 60 year study period. The number of CWD increased during the selected period, but this was not statistically significant. In addition, we found that the temporal variations in the indices became greater over time, which implies the frequency and severity of extreme events such as drought and storm events may increase in the future. This study could help researchers determine the climatic areas at the selected stations that are critical for optimal water resource management planning and/or modeling. © 2023 by the authors.
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농업생명과학대학 (지역시스템공학과)
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