한국농공학회지 (Magazine of the Korean Society of Agricultural Engineers)

한국농공학회 (The Korean Society of Agricultural Engineers)
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기후변화 영향평가 방법론과 과정의 불확실성

  • 발행 : 2013.02.28
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초록

키워드

참고문헌

  1. 기상청, 2012. 2012년 이상기후 보고서.
  2. 황세운, 2012. 기후 모델 결과의 통계적 오차 보정과 수문 모델링 적용을 위한 격자 단위 자료의 유용성 평가, 한국농공학회논문집, 54(5), 91-102.
  3. Choi W., P.F. Rasmussen, A.R. Moore, S.J. Kim, 2009. Simulating streamflow response to climate scenarios in central Canada using a simple statistical downscaling method, Climate Research, 40, 89-102. https://doi.org/10.3354/cr00826
  4. Galloway, G. E., 2011. If Stationarity Is Dead, What Do We Do Now? Journal of the American Water Resources Association (JAWRA), 47(3), 563-570. DOI:1111/j.1752-1688.2011.00550.x. https://doi.org/10.1111/j.1752-1688.2011.00550.x
  5. Stefan, H., C. Chen, J.O. Haerter, J. Heinke, D. Gerten, C. Piani, 2011. Impact of a Statistical Bias Correction on the Projected Hydrological Changes Obtained from Three GCMs and Two Hydrology Models, Journal of Hydrometeorology, 12, 556-578. https://doi.org/10.1175/2011JHM1336.1
  6. Hernandez, L.J., S. Hwang, F. Escobedo, A. H. Davis, and J. W. Jones, 2012. Land use change in central Florida and sensitivity analysis based in agricultural to Urban Extreme conversion, Weather, Climate, and Society, 4(3), 200-211. https://doi.org/10.1175/WCAS-D-11-00019.1
  7. Hwang, S., 2011. Dynamical and statistical downscaling of climate information and its hydrologic implications over west-central Florida. Ph.D. Thesis, University of Florida.
  8. Hwang, S., W. Graham, J. Hernandez, A. Adams, C. Martinez, J. Jones, 2011. Quentitative spatiotemporal evaluation of the dynamically downscaled MM5 precipitation predictions over the Tampa Bay region, Florida, Journal of Hydrometeorology, 12(6), 1447- 1464. https://doi.org/10.1175/2011JHM1309.1
  9. IPCC, 2000. Emissions Scenarios. Special Report of the Intergovernmental Panel on Climate Change [Nebojsa Nakicenovic and Rob Swart (Eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York,NY, USA.
  10. IPCC, 2007. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  11. Lorenzoni, I. and F.N. Pidgeon, 2006. Public views on climate change: European and USA perspectives. Climatic Change, 77, 73-95. https://doi.org/10.1007/s10584-006-9072-z
  12. Ludwig, F., P. Kabat, H. Schaik, and M. Valk, 2009. Climate change adaptation in the water sector. Earthscan, UK. pp 79-108.
  13. Milly, P.C.D.J. BetancourtM. FalkenmarkR.M. HirschZ.W. KundzewiczD.P. LettenmaierR.J. Stouffer2008Stationarity Is Dead - Whither Water Management?Science,319, 573574. https://doi.org/10.1126/science.1151915
  14. Stainforth, D.A., T. Aina, C. Christensen, M. Collins, N. Faull, D.J. Frame, J.A. Kettleborough, A. Knight, A. Martin, J.M. Murphy, C. Piani, D. Sexton, L.A. Smith, R.A. Spicer, A.J. Thorpe, and M.R. Allen, 2005. Uncertainty in predictions of the climate response to rising levels of greenhouse gases, Nature, 433, 403-406. https://doi.org/10.1038/nature03301
  15. Wilby, R. L. and S. Dessai, 2010. Robust adaptation to climate change. Weather, 65, 180-185. doi:1002/wea.543. https://doi.org/10.1002/wea.543
  16. Wilby, R.L. and T.M.L. Wigley, 1997. Downscaling general circulation model output: a review of methods and limitations, , 21(4), 530-548.