DOI QR코드

DOI QR Code

상세 전자기후지도를 이용한 미래 한반도 기후대 변화 전망

Future Projection of Climatic Zone Shifts over Korean Peninsula under the RCP8.5 Scenario using High-definition Digital Agro-climate Maps

  • 윤은정 ((재)국가농림기상센터) ;
  • 김진희 ((재)국가농림기상센터) ;
  • 문경환 (국립원예특작과학원 온난화대응농업연구센터)
  • Yun, Eun-jeong (National Center for Agro-Meteorology, Seoul National University) ;
  • Kim, Jin-Hee (National Center for Agro-Meteorology, Seoul National University) ;
  • Moon, Kyung Hwan (Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science)
  • 투고 : 2020.10.19
  • 심사 : 2020.12.14
  • 발행 : 2020.12.30

초록

지구온난화로 기후변화 및 이상 기상현상이 증가함에 따라 전 세계적으로 미래 기후 전망에 대한 관심과 연구의 필요성이 증대되고 있다. 온난화로 인한 기온의 상승 경향은 미래에도 지속될 것으로 예상되며, 현재 남해안에 국한되는 아열대 기후구는 점차 북상할 것으로 전망된다. 기후대의 이동은 작물재배지의 변화를 의미하기 때문에 본 연구에서는 변화하는 농업기후 조건에서 작물 재배 적응 대책을 마련할 수 있도록 우리나라의 고해상도 기후 자료를 기반으로 현재-미래에 대한 기후대 전망을 살펴보고자 하였다. 이를 위해 평년 기간(1981-2010)에 대해 제작된 남한과 북한의 통합된 고해상도 월 최고기온 및 최저기온, 월 적산강수량을 확보 및 제작하였고, 쾨펜 기후대 구분 기준에 따라 한반도 기후대를 분류하였다. 동일한 방법으로 기상청의 RCP8.5 기후변화 시나리오를 기반으로 30-270m 격자 해상도로 상세화 된 한반도 지역의 월 단위 기후 자료를 확보하여, 미래에 예상되는 기후대 변화를 전망하였다. RCP8.5 시나리오를 바탕으로 같은 기후 구분 기준을 적용한 결과, 한반도의 기온과 강수량은 지속적으로 증가하여 기후가 점차 단순해지는 것으로 나타났다. 현재 남부지방에 나타나는 온대기후(C)는 점차 확대되어, 2071-2100년대에는 북한의 함경도와 평안도 일부 지역을 제외한 한반도의 대부분이 온대기후(C)가 될 것으로 예상되었다. 반면 냉대 기후(D)는 서서히 북쪽으로 후퇴하여 한반도가 점점 온난 습윤해질 것으로 예상되었다.

It is predicted that future climate warming will occur, and the subtropical climate zone currently confined to the south coast of Korea will gradually rise north. The shift of climate zone implies a change in area for cultivating crops. This study aimed to evaluate the current and future status of climate zones based on the high-resolution climate data of South Korea to prepare adaptation measures for cultivating crops under changing agricultural climate conditions. First, the climatic maps of South and North Korea were produced by using the high-resolution monthly maximum and minimum daily temperature and monthly cumulative precipitation produced during the past 30 years (1981-2010) covering South and North Korea. Then the climate zones of the Korean Peninsula were classified based on the Köppen climate classification. Second, the changes in climate zones were predicted by using the corrected monthly climate data of the Korean Peninsula (grid resolution 30-270m) based on the RCP8.5 scenario of the Korea Meteorological Administration. Köppen climate classification was applied based on the RCP8.5 scenario, the temperature and precipitation of the Korean Peninsula would continue to increase and the climate would become simpler. It was predicted that the temperate climate, appearing in the southern region of Korea, would be gradually expanded and the most of the Korean Peninsula, excluding some areas of Hamgkyeong and Pyeongan provinces in North Korea, would be classified as a temperate climate zone between 2071 and 2100. The subarctic climate would retreat to the north and the Korean Peninsula would become warmer and wetter in general.

키워드

참고문헌

  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. https://doi.org/10.1127/0941-2948/2013/0507
  3. Chen, D., and Chen. H., 2013: Using the Koppen classification to quantify climate variation and change: an example for 1901-2010, Environmental Development 6, 69-79. https://doi.org/10.1016/j.envdev.2013.03.007
  4. De Castro, M., Gallardo, C., Jylha, K., and Tuomenvirta, H., 2007: The use of a climate-type classification for assessing climate change effects in Europe from an ensemble of nine regional climate models. Climatic Change 81(1), 329-341. https://doi.org/10.1007/s10584-006-9224-1
  5. Ha, Y. W., 2000: Barley. RDA crop experiment station, Guhmok published.
  6. Choi, Y., Y. Kim, M. Kim, M. Park, S. Min, Y. A. Kwon, and M. K. Kim, 2018: The determination of detailed climate classification and future projections in the republic of Korea using high-resolution grid climate data and Trewartha climate classification. Journal of climate research 13(4), 247-261. https://doi.org/10.14383/cri.2018.13.4.247
  7. Jeong, J. W., S. S. Kim, I. K Lee, N. H. So, and H. S. Ko, 2018: Negative Effect of Abnormal Climate on the Fruits Productivity - Focusing on the Special Weather Report -. Korean Journal of Agricultural and Forest Meteorology 20(4), 305-312. https://doi.org/10.5532/KJAFM.2018.20.4.305
  8. KMA, 2020: Korea climate change assessment report 2020, Korea Meteorological Administration.
  9. Kesseli, J. E., 1942: The climates of California according to the Koppen classification. American Geographical Society 32(3), 476-480.
  10. Kim, D. J., J. H. Kim, J. H. Roh, and J. I. Yun, 2012: Geographical migration of winter barley in the Korean peninsula under the RCP8.5 projected climate condition. Korean Journal of Agricultural and Forest Meteorology 14(4), 161-169. https://doi.org/10.5532/KJAFM.2012.14.4.161
  11. Kim. D. J., and J. H. Kim, 2019: Estimating the monthly precipitation distribution of North Korea using the PRISM model and enhanced detailed terrain information. Korean Journal of Agricultural and Forest Meteorology 21(4), 366-372. https://doi.org/10.5532/KJAFM.2019.21.4.366
  12. Kim, D. J., and J. I. Yun, 2011: Estimation of monthly precipitation in North Korea using PRISM and digital elevation model. Korean Journal of Agricultural and Forest Meteorology 13(1), 35-40. https://doi.org/10.5532/KJAFM.2011.13.1.035
  13. Kim, J. H., and J. I. Yun, 2015: Projections of future summer weather in Seoul and their impacts on urban agriculture. Korean Journal of Agricultural and Forest Meteorology, 17(2), 182-189 https://doi.org/10.5532/KJAFM.2015.17.2.182
  14. Kim, Y., 1991: Introduction to climatology. Jungiksa Publishing Co., 191-238 (in Korean).
  15. Kim, Y. S., K. M. Shim, M. P. Jung, I. T. Choi and K. K. Kang, 2017: Study on the Change of Climate Zone in South Korea by the Climate Change Scenarios. Korean Journal of Agricultural and Forest Meteorology 19(2) 37-42. https://doi.org/10.5532/KJAFM.2017.19.2.37
  16. 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.
  17. Kwon, Y. A, T. W. Kwon, K. O. Boo, and Y. Choi, 2007: Future projections on subtropical climate regions over South Korea using SRES A1B data. Journal of the Korean Geographical Society 42(3), 355-367.
  18. Park, C. Y., Y. E. Choi, Y. A. Kwon, J. I. Kwon, and S. H. Lee, 2013: Studies on changes and future projections of subtropical climate zones and extreme temperature events over South Korea using high resolution climate change scenario based on PRIDE model. Journal of the Korean association of regional geographers 19(4), 600-614.
  19. RDA, 2014: Projection of Potential Cultivation Region of Major Fruit Trees and Medicinal Plants Based on RCP Scenario.
  20. Shin, S. H. and D. H. Bae, 2013: Future projections of Koppen climate shifts in the asia regions using A2 scenario. J. Korea Water Resources Association 46(3), 253-265. https://doi.org/10.3741/JKWRA.2013.46.3.253
  21. Sanderson, M., 1999: The classification of climates from Pythagoras to Koeppen. Bulletin of American Meteorological Society 80(4), 669-674. https://doi.org/10.1175/1520-0477(1999)080<0669:TCOCFP>2.0.CO;2
  22. Wi, H., S. Kim, H. Kim, H. Yu, J. Park, Y. Song, A. Yang, and H. Yoo, 2015: A study of vegetation changes according to future climate change focus on crop of the warm temperate zone and crop of subarctic regions. The Journal of Applied Geography 32, 1-25
  23. 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) https://doi.org/10.5532/KJAFM.2010.12.1.063