참고문헌
- Abatzoglou, T. J., and J. T. Brown, 2012. A comparison of statistical downscaling methods suited for wildfire applications. International Journal of Climatology 32: 772-780. https://doi.org/10.1002/joc.2312
- Bae, D. H., I. W. Jung, and D. P. Lettenmaier, 2011. Hydrologic uncertainty in climate change from IPCC AR4 GCM simulations of the Chungju basin, Korea. Journal of Hydrology 401(1-2): 90-105. https://doi.org/10.1016/j.jhydrol.2011.02.012
- Chen, J., F. P. Brissette, and R. Leconte, 2011. Uncertainty of downscaling method in quantifying the impact of climate change on hydrology. Journal of Hydrology 401: 190-202. https://doi.org/10.1016/j.jhydrol.2011.02.020
- Chung, S. O., 2009. Prediction of paddy irrigation demand in Nakdong River basin using regional climate model outputs. Journal of the Korean Society of Agricultural Engineers 51(4): 7-13 (in Korean). https://doi.org/10.5389/KSAE.2009.51.4.007
- Ehret, U., E. Zehe, V. Wulfmeyer, K. Warrach-Sagi, and J. Liebert, 2012. HESS Opinions "Should we apply bias correction to global and regional climate model data?". Hydrology and Earth System Sciences 16(9): 3391-3404. https://doi.org/10.5194/hess-16-3391-2012
- Fowler, H. J., S. Blenkinsop, and C. Tebaldi, 2007. Linking climate change modeling to impacts studies: recent advances in downscaling techniques for hydrological modeling. International Journal of Climatology 27: 1547-1578. https://doi.org/10.1002/joc.1556
- Hidalgo, H. G., M. D. Dettinger, and D. R. Cayan, 2008. Downscaling with constructed analogues: daily precipitation and temperature fields over the United States, California Energy Commission, PIER Energy-Related Environmental Research. CEC-500-2007-123.
- Hwang, S., 2012. Utility of gridded observations for statistical bias-correction of climate model outputs and its hydrologic implication over west central Florida. Journal of the Korean Society of Agricultural Engineers 54(5): 91-102. https://doi.org/10.5389/KSAE.2012.54.5.091
- Hwang, S., and W. Graham, 2013. Development and comparative evaluation of a stochastic analog method to downscale daily GCM precipitation. Hydrology and Earth System Sciences Discuss 10: 2141-2181. https://doi.org/10.5194/hessd-10-2141-2013
- Hwang, S., and M. S. Kang, 2013. Uncertianty of the proceses and methodologies for climate change impact assessement. Magazine of the Korean Society of Agricultural Engineers 55(1) (in Korean).
- Hwang, S., W. Graham, J. L. Hernández, C. Martinez, J. W. Jones, and A. Adams, 2011. Quantitative spatiotemporal evaluation of 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
- Jee, Y. K., J. H. Lee, and S. D. Kim, 2012. Climate change impacts on agricultural water in Nakdong-river watershed. Journal of the Korean Society of Agricultural Engineers 54(3): 149-157 (in Korean). https://doi.org/10.5389/KSAE.2012.54.3.149
- Jiang, T., Y. D. Chen, C. Xu, Chen, X., X. Chen, and V. P. Singh, 2007. Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang Basin, South China. Journal of Hydrology 336: 316-333. https://doi.org/10.1016/j.jhydrol.2007.01.010
- Kunkel K. E., X-Z. Liang, J. Zhu, and Y. Lin, 2006. Can CGCMs simulate the 20th century "warning hole: in the central United States? Journal of Climate 19: 4137-4153. https://doi.org/10.1175/JCLI3848.1
- Leander, R., and T. A. Buishand, 2007. Resampling of regional climate model output for the simulation of extreme river flows. Journal of Hydrology 332: 487-496. https://doi.org/10.1016/j.jhydrol.2006.08.006
- Lenderink, G. 2010. Exploring metrics of extreme daily precipitation in a large ensemble of regional climate model simulations. Climate Research 44: 151-166. https://doi.org/10.3354/cr00946
- Li, H., J. Sheffield, and E. F. Wood, 2010. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. Journal of Geophysical Research 115: D10101. https://doi.org/10.1029/2009JD012882
- Maraun, D., F. Wetterhall, A. M. Ireson, R. E. Chandler, E. J. Kendon, M. Widmann, S. Brienen, H. W. Rust, T. Sauter, M. Themessl, V. K. C. Venema, K. P. Chun, C. M. Goodess, R. G. Jones, C. Onof, M. Vrac, and I. Thiele-Eich, 2010. Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user. Reviews of Geophysics 48(3): RG3003.
- Maurer, E. P., and H. G. Hidalgo, 2008. Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods. Hydrology and Earth System Sciences 12: 551-563. https://doi.org/10.5194/hess-12-551-2008
- Maurer, E. P., A. W. Wood, J. C. Adam, D. P. Lettenmaier, and B. Nijssen, 2002. A Long-term hydrologically-based data set of land surface fluxes and states for the conterminous United States. Journal of Climate 15(22): 3237-3251. https://doi.org/10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2
- Mearns, L. O., W. Easterling, C. Hays, and D. Marx, 2001. Comparison of agricultural impacts of climate change calculated from high and low resolution climate change scenarios: Part I, The uncertainty due to spatial scale. Climatic Change 51: 131-172. https://doi.org/10.1023/A:1012297314857
- Park, G. A., J. Y. Park, H. J. Shin, M. J. Park, and S. J. Kim, 2010. Impact of climate change on paddy water storage during storm periods. Journal of the Korean Society of Agricultural Engineers 52(6): 27-37 (in Korean). https://doi.org/10.5389/KSAE.2010.52.6.027
- Park, J., M. S., Kang, I. Song, 2012. Bias correction of RCP-based future extreame precipitation using a quantile mapping method; for 20-weather stations of South Korea. Journal of the Korean Society of Agricultural Engineers 54(6): 133-142 (in Korean). https://doi.org/10.5389/KSAE.2012.54.6.133
- Piani, C., J. O. Haerter, E. Coppola, 2010. Statistical bias correction for daily precipitation in regional climate models over Europe. Theor. Appl. Climatol. 99: 187-192. https://doi.org/10.1007/s00704-009-0134-9
- Teutschbein, C., and J. Seibert, 2012. Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of Hydrology 456-457: 12-29. https://doi.org/10.1016/j.jhydrol.2012.05.052
- Themssl M. J., A. Gobiet, and A. Leuprecht, 2011. Empirical-statistical downscaling and error correction of daily precipitation from regional climate models. International Journal of Climatology 31: 1530-1544. https://doi.org/10.1002/joc.2168
- Wilby, R. L., L. E. Hay, W. J. Gutowski Jr., R. W. Arritt, E. S. Takle, Z. Pan, G. H. Leavesley, and M. P. Clark, 2000. Hydrological responses to dynamically and statistically downscaled climate model output. Geophysical Research Letters 27: 1199-1202. https://doi.org/10.1029/1999GL006078
- Wood, A.W., L. R. Leung, V. Sridhar, and D. P. Lettenmaier, 2004. Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change 15(62): 189-216.
- Xu, C-Y., 1999. Climate change and hydrologic models: a review of existing gaps and recent research developments. Water Resources Management 13: 369-382. https://doi.org/10.1023/A:1008190900459
- Yun, D. K., S. O., Chung, and S. J. Kim, 2011. Climate change impacts on paddy water requirement. Journal of the Korean Society of Agricultural Engineers 53(4): 39-47 (in Korean). https://doi.org/10.5389/KSAE.2011.53.4.037
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- Assessing the Performance of CMIP5 GCMs for Various Climatic Elements and Indicators over the Southeast US vol.47, pp.11, 2014, https://doi.org/10.3741/JKWRA.2014.47.11.1039
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- Projection of Korean Probable Maximum Precipitation under Future Climate Change Scenarios vol.2016, 2016, https://doi.org/10.1155/2016/3818236
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