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최근 40년(1979~2018) 우리나라 겨울 일 평균기온의 장기 변화 경향 및 주기 분석Long-term Trend and Period Analysis of Korean Daily Temperature During Winter Season of 40 Years (1979~2018)

Other Titles
Long-term Trend and Period Analysis of Korean Daily Temperature During Winter Season of 40 Years (1979~2018)
Authors
Choi, Ji-YeongHwang, Seung-OnYeh, Sang-WookSong, Se-YongKim, Yoon-Jae
Issue Date
Dec-2019
Publisher
한국기상학회
Keywords
Korean winter temperature; periodicity; power spectral analysis
Citation
대기, v.29, no.5, pp 599 - 607
Pages
9
Indexed
ESCI
KCI
Journal Title
대기
Volume
29
Number
5
Start Page
599
End Page
607
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4670
DOI
10.14191/Atmos.2019.29.5.599
ISSN
1598-3560
2288-3266
Abstract
The change and periodicity of Korean winter temperature in the period 1979-2018 are investigated. It is shown that the winter temperature is on a long-term rise, with two regime shifts of winter temperature during 40 years. In addition, the decrease in cold days is confirmed along with the rise in temperature. Analysis of the periodicity of daily temperature in winter is carried out by means of power spectral analysis. Of the spectral peaks that are statistically significant, the most frequent detection exists on the time scale between 7 and 8 days. It is found that the number of significant periods have decreased since 2014, particularly no longer existent around the period of 7 day. The longer periods than 7 days gradually increase during 40 years, while the shorter periods show the tendency of decrease but recently rebound. Spectral analysis calculated from high/low-pass filtered daily temperature data also shows similar results.
The change and periodicity of Korean winter temperature in the period 1979-2018 are investigated. It is shown that the winter temperature is on a long-term rise, with two regime shifts of winter temperature during 40 years. In addition, the decrease in cold days is confirmed along with the rise in temperature. Analysis of the periodicity of daily temperature in winter is carried out by means of power spectral analysis. Of the spectral peaks that are statistically significant, the most frequent detection exists on the time scale between 7 and 8 days. It is found that the number of significant periods have decreased since 2014, particularly no longer existent around the period of 7 day. The longer periods than 7 days gradually increase during 40 years, while the shorter periods show the tendency of decrease but recently rebound. Spectral analysis calculated from high/low-pass filtered daily temperature data also shows similar results.
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