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-Yeong; Hwang, Seung-On; Yeh, Sang-Wook; Song, Se-Yong; Kim, 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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