발간년도 : [2014]
| 논문정보 |
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| 논문명(한글) |
[Vol.9, No.1] Estmation of Agricultural Temperature Variation by the New Climate Change Scenario using TEMCF |
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| 논문투고자 |
Jin-Hwan Joo, Woo-Seok Chang, Won Lee, Chang-Beom Lee, Nam-Su Jung |
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| 논문내용 |
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. |
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