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Advanced Analysis of Climate Data by Trigonometric Function, Polar Coordinate and Scaling Technique
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삼각함수 및 극좌표와 Scaling technique에 의한 기상 Data의 새로운 해석

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Type
Academic journal
Author
Eom, Ki Cheol (세종데이터연구소) Kim, Lee Yul (세종데이터연구소) Im, Che Il (세종데이터연구소) Park, Yong Hwan (세종데이터연구소) Park, Min Seo (세종데이터연구소)
Journal
The Korean Society of Climate Change Research Journal of Climate Change Research Vol.11 No.5-2 KCI Accredited Journals
Published
2020.10
Pages
529 - 538 (10page)
DOI
10.15531/ksccr.2020.11.5.529

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Advanced Analysis of Climate Data by Trigonometric Function, Polar Coordinate and Scaling Technique
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This study focus on a new data analysis method using trigonometric function, polar coordinate, scaling technique. The principle results are as follows : (1)Yearly variation is greater than 10-day variation for mean air temperature and mean relative humidity. (2) Models of maximum relative humidity, mean relative humidity and minimum relative humidity were developed using the trigonometric function Y = a sin [ b (X = c) (Pi / 720) ] + d. (3)Balance and dependence between mean air temperature and mean relative humidity are analyzed based on distance and angle in polar coordinate. (4)The change ratio of balance angle in polar coordinate according to mean air temperature is a function of that temperature, but the ratio according to scaled factor is constant.

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1. 서론
2. 재료 및 방법
3. 결과 및 고찰
4. 결론
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UCI(KEPA) : I410-ECN-0101-2020-453-001560220