최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기大韓土木學會論文集, Journal of the Korean Society of Civil Engineers, B. 수공학, 해안 및 항만공학, 환경 및 생태공학, v.29 no.2B, 2009년, pp.181 - 191
경민수 (인하대학교 사회기반시스템공학부) , 이용원 (인하대학교 사회기반시스템공학부) , 김형수 (인하대학교 사회기반시스템공학부) , 김병식 (한국건설기술연구원 수자원연구실)
This study suggests the assessment technique for climate change effect on drought in Korea based on the AR4 SRES A2 scenario reported in IPCC fourth assessment report in 2007. IPCC provides monthly outputs of 24 climate models through the DDC. One of the models is BCM2 model which was developed at B...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
축소기법은 크게 어떻게 구분되는가? | 축소기법은 크게 동역학적 축소기법으로 분류되는 RCM을 생성하는 과정과 경험/통계 그리고 통계/역학적 기법을 이용하는 경우로 구분된다. 대표적인 축소모형으로는 추계학적 일기 발생모형인 LARS-WG V 3. | |
GCM이나 RCM을 수자원 분야에서 활용하는데 있어서 중요한 문제는 | GCM이나 RCM을 수자원 분야에서 활용하는데 있어서 중요한 문제는 시·공간적인 분해능이 낮다는 것이다. 따라서 이러한 대기순환모형의 결과를 사용하기 위해서는 시·공간적인 축소기법(Downscaling Techniques)을 통한 규모축소가 필요하다. |
권현한, 문영일(2005) 상태-공간 모형과 Nearest Neighbor 방법을 통한 수문시계열 예측에 관한 연구. 대한토목학회 논문집, 대한토목학회, 제25권, 제4B호, pp. 275-283.
김병식(2005) 기후변화에 따른 유역의 수문요소 및 수자원 영향 평가. 박사학위논문, 인하대학교.
김형수, 최시중, 김중훈(1998) DVS 알고리즘을 이용한 일 유량자료의 예측, 대한토목학회 논문집, 대한토목학회, 제18권, 제II-6호, pp. 563-570.
Casdagli, M. (1992) Chaos and deterministic versus stochastic nonlinear modeling, Journal of the Royal Statistical society, Statistics in society, Series B 54, pp. 303-324.
Casdagli, M. and Weigend, A. (1994) Exploring the Continuum Between Deterministic and Stochastic Modelling, Forecasting the Future and Understanding the Past, Eds. A.S. Weigned and N.A. Gershenfeld, SFI Studies in the Sciences of Complexity, Proc. Vol. XV, Addison-Wesley, pp. 993.
Dubrovsky, M., Svoboda, M. D., Tranka, M., Hayes, M.J., Wilhite, D.A., Zalud, Z., and Hlavinka, P. (2008) Application of relative drought indice in assessing climate-change impacts on drought conditions in Czechia. Theoretical and Applied Climatology, in press.
Durman, C.F., Gregory, J.M., Hassell, D.C., Jones, R.G., and Murphy, J.M. (2001) A comparison of extreme European daily precipitation simulated by a global and a regional climate model for present and future climates. Quarterly Journal of the Royal Meteorological Society, Royal Meteorological Society, Vol. 127, No. 573, pp. 1005-1015.
Fowler, H.J., Kilsby, C.G., and Stunell, J. (2007) Modeling the impacts of projected future climate change on water resources in north-west England. Hydrologic & Earth System Sciences, EGU, Vol. 11, No. 3, pp. 1115-1126.
Guttman, N.B. (1999) Accepting the Standardized Precipitation Index. Journal of the American Water Resources Association, Vol. 35, No. 2, pp. 311-322.
Hamlet, A.F., Lettenmaier, D.P., and Snover, A. (2003) Climate change streamflow scenarios for critical period water planning studies:A technical methodology. Journal of Water Resources Planning and Management, ASCE, in review.
Hashino, T., Bradley, A.A., and Schwartz, S.S. (2007) Evaluation of bias-correction methods for ensemble streamflow volume forecasts. Hydrology and Earth System Science, EGU, Vol. 11, pp. 939-950.
Kim B.S., Kim H.S., Seoh B.H. and Kim, N.W. (2007) Impact of climate change on water resources in Yongdam Dam Basin, Korea. Stochastic Environmental Research and Risk Assessment, Vol. 21, No. 4, pp. 355-373.
McKee, T.B., Doesken, N.J., and Kleist, J. (1993) The relationship of drought frequency and duration to time scales. Preprints, 8th Conference on Applied Climatology, 17-22 January, Anaheim, California, pp. 179-184.
Olsson, J., Uvo, C. B., Jinno, K., Kawamura, A., Nishiyama, K., Koreeda, N., Nakashima, T., and Morita, O. (2004) Neural networks for rainfall forecasting by atmospheric downscaling. Journal of hydrology Engineering, Vol. 9, No. 1, pp. 1-12.
Palmer, R., Wiley, M., and Kameenui, A. (2004) Will climate change impact water supply and demand in the puget sound?, Department of Civil and Environmental Engineering University of Washington, Seattle WA.
Panofsy, H.A. and Brire, G.W. (1963) Some application of Statistics to Meteorology, Pennsylvania State University, University Park, Pennsylvania, pp. 224.
Rosenblatt, F. (1962) Principles of Neurodynamics. Spartan. New York.
Rumelhart, D.E., Hinton, G.E., and Williams, R.J. (1986) Learning internal representation by error propagation. in Rumlhart, D.E., McClelland, J. (Eds), Parallel Data Processing, MIT Press, Vol. 1, pp. 318-362.
Semenov, M.A. and Barrow, E.M. (2002) LARS-WG : A Stochastic Weather Generator for use in climate impact studies, Vol. 30.
Shivam, T. (2004) Downscaling of genral circulation models to assess the impact of climate change on rainfall of indian, ME Dissertation, Indian Institute of science, Bangalore, India.
Sivakumar, B., Sorooshian, S., Gupta, H.V., and Gao, X. (2001) A chaotic approach to rainfall disaggregation. Water Resources Research, AGU, Vol. 37, No. 1, pp. 61-72.
Solecki, W.D. and Oliveri, C. (2004) Downscaling climate change scenarios in an urban land use change models. Journal of environmental management, Vol. 72, No. 1-2, pp. 105-115.
Srinivas, V.V., Srinivasan, K. (2005) Matched block bootstrap for resampling multiseason hydrologic time series. Hydrological Process, Vol. 19, Issue 18, pp. 3659-3682.
Stehlik, Jiri and Bardossy, Andras. (2002) Multivariate stochastic downscaling model for generating daily precipitation series based on atmospheric circulation. Journal of hydrology, Vol. 256, No. 1-2, pp. 120-141.
Tatli, H., Dalfes, H.N., and Mentes, S. (2004) A statistical downscaling method for monthly total precipitation over Tutkey. International journal of climatology, Royal Meteorological Society, Vol. 24, No. 2, pp. 161-180.
Tripathia, S., Srinivasa, V.V., and Nanjundiahb, R.S. (2006) Downscaling of precipitation for climate change scenarios: A support vector machine approach. Journal of Hydrology, Vol. 330, Issues 3-4, pp. 621-640.
Wetterhall, F., Halldin, S., and Xu, C.Y. (2005) Statistical precipitation downscaling in central Sweden with the analogue method. Journal of Hydrology, Vol. 306, No. 14, pp. 174-190.
Wilby, R.L. and Dawson, C.W. (2007) SDSM 4.2 : A decision support tool for the assessment of regional climate change impacts Vol. 4.2.
Wood, A.W., Leung, L.R., Sridhar. V., and Lettenmaier, D.P. (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change, Vol. 62, Issue 1-3, pp. 189-216.
Zhang, X.C. (2007) A comparison of explicit and implicit spatial downscaling of GCM output for soil erosion and crop production assessments. Climatic change, Vol. 84, No. 3-4, pp. 337-363.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.