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http://dx.doi.org/10.5532/KJAFM.2017.19.2.37

Study on the Change of Climate Zone in South Korea by the Climate Change Scenarios  

Kim, Yongseok (National Institute of Agricultural Science, RDA)
Shim, Kyo-Moon (National Institute of Agricultural Science, RDA)
Jung, Myung-Pyo (National Institute of Agricultural Science, RDA)
Choi, In-Tae (National Institute of Agricultural Science, RDA)
Kang, Ki-Keong (National Institute of Agricultural Science, RDA)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.19, no.2, 2017 , pp. 37-42 More about this Journal
Abstract
In this study, we were carried out the classification of Korea's climate zone. $K{\ddot{o}}ppen$ climate classification and Warmth Index were used for classification of climate zone and we have predicted how the climate zone will be changed during the 21st century. Especially, $K{\ddot{o}}ppen$ climate classification is one of the most widely used method in the world. The climate data used monthly climate normal data (1981-2010) and future climate data (2051-2060 and 2091-2100) by considering RCP 8.5 scenarios, which was made from geospatial climate models at 1km grid cell estimated. In conclusion, the temperature will rise steadily and the climate zone will be simplified in the future as a result.
Keywords
$K{\ddot{o}}ppen$ climate classification; Warmth index; RCP 8.5 scenarios; Climate zone;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Ackerman, E. A. 1941: The Koppen classification of climates in North America. American Geographical Society 31(1), 105-111.
2 Alvares, C. A., J. L. Stape, P. C. Sentelhas, M. Goncalves, J. Leonardo, and G. Sparovek, 2013: Koppen's climate classification map for Brazil. Meteorologische Zeitschrift 22, 711-728.   DOI
3 Hong, K. O., M. S. Suh, D. K. Rha, D. H. Chang, C. S. Kim, and M. K. Kim, 2007: Estimation of high resolution gridded temperature using GIS and PRISM. Journal of Korean Meteorological Society 17(3), 255-268. (in Korean with English abstract)
4 Park, C. Y., Y. E. Choi, J. Y. Moon, and W. T. Yun, 2009: Classification of climate zones in South Korea considering both air temperature and rainfall. Journal of Korean Association of Professional Geographers 44(1), 1-16. (in Korean with English abstract)
5 Jung, H.S., T.Y. Kim, D.S. Moon, T.W. Huh, C.H. Shin, Y.M. Lee, Y.E. Choi, J.I. Kwon, H.S. Lee, S.H.Jeon, S.L. Cho, M.K. Kim, S. Kim, J.W. Kim, J. Sang, D.H. Lee, M.I. Lee, D.M. Kim, and H.L. Kim, 2012: The Korean Peninsula climate change prospect report. Korea Meteorological Administration. Korea, 10-13.
6 Kesseli, J. E., 1942: The climates of California according to the Koppen classification. American Geographical Society 32(3), 476-480.
7 Kim, H. Y., S. T. Yu, M. H. Yi, G. S. Kim, H. T. Shin, and B. D. Kim, 2015: A study on the change of warmth index⋅coldness index in Korea. Journal of Climate Research 10(2), 153-164. (in Korean with English abstract)   DOI
8 Kong, S. J., J. H. Shin, and K. C. Yang, 2013: The study of adaptable plant species according to warmth index using RCP 8.5 scenarios in Cheonan-Si. Journal of the Korea Society of Environmental Restoration Technology 16(3), 19-30. (in Korean with English abstract)   DOI
9 Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel, 2006: World Map of the Koppen-Geiger climate classification updated. American Geographical Society 15, 259-263.
10 Lee, S., 2010: Climatology, Purungil, 275pp.
11 Park, H. W., and B. C. Moon, 1998: Classification of climatic region in Korea using GIS. Journal of Korean Association of Professional Geographers 33(1), 17-40. (in Korean with English abstract)
12 Yim, Y. J., and T. Kira, 1975: Distribution of forest vegetation and climate in the Korean Peninsula.: I. Distribution of some indices of thermal climate. Japanese Journal of Ecology 25, 77-88.
13 Park, J. C., K. C. Yang, and D. H. Jang, 2010: The movement of evergreen broad-leaved forest zone in the warm temperate region due to climate change in South Korea. Journal of Climate Research 5(1), 29-41. (in Korean with English abstract)
14 RDA, 2013: Digital Agro-Climate Map Database for Impact Assessment of Climate Change on Agriculture. http://www.agdcm.kr (2016. 7. 7.)
15 Yun, J. I., 2010: Agroclimatic maps augmented by a GIS technology. Journal of Korean Agricultural and Forest Meteorology 12(1), 63-73. (in Korean with English abstract)   DOI