Estmation of Agricultural Temperature Variation by the New Climate Change Scenario using TEMCF

주진환; 장우석; Li Yuan; 이창범; Jung, Nam-Su

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Journal of Knowledge Information Technology and Systems 2022 KCI Impact Factor : 0.9

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pISSN : 1975-7700 / eISSN : 2734-0570

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Estmation of Agricultural Temperature Variation by the New Climate Change Scenario using TEMCF

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2014, 9(1), pp.199-208

Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Research

Published : February 28, 2014

주진환 ¹, 장우석 ², Li Yuan ¹, 이창범 ¹, Jung, Nam-Su ¹

¹공주대학교
²충청남도 농촌 활성화지원센터

ABSTRACT
열림/닫힘 버튼

For analysis of climate change effects on agriculture, construction of precise agricultural meteorological data is important to target period and site. In this study, agricultural meteorological data under new climate change scenario (RCP 8.5) are constructed from 2011 to 2099 in 111 agriculture major station suggested by Rural Development Administration(RDA). In this study, we try to find single variable representing agricultural variances of maximum, minimum, and average temperature adapting TEMCF(coefficient to adjust daylight average temperature). For verifying suggested variable, we calculated TEMCF using temperature data from 2011 to 2099 in Suwon. Results of analyzing average data show that maximum, minimum, and average temperature data are increased continuously but TEMCF has not regular change. Results of analyzing standard deviation data show that maximum, minimum, and average temperature can not represent nominal variance but TEMCF can represent nominal variance in 2042, 2059, 2074, and 2084. We can also represent agricultural temperature variance map using TEMCF
KEYWORDS
열림/닫힘 버튼

New climate change scenario, IPCC, RCP8.5, TEMCF, Temperature data

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* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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