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NTIS 바로가기한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.56 no.1, 2014년, pp.31 - 40
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Angulo, C., R. Rotter, R. Lock, A. Enders, S. Fronzek, and F. Ewert, 2013. Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe. Agricultural and Forest Meteorology 170: 32-46.
Asseng, S., F. Ewert, C. Rosenzweig, J. W. Jones, J. L. Hatfield, A. C. Ruane, and J. R. Williams, 2013. Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3: 827-832.
Chung, S.-O., 2013. "Projecting Future Paddy Irrigation Demands in Korea." Irrigation and Drainage 62(3): 297-305.
Chung, S. O., and T. Nkomozepi, 2012. Uncertainty of paddy irrigation requirement estimated from climate change in the Geumho river basin, Korea. Paddy and Water Environment 10(3): 175-185.
Confalonieri R., D., Gusberti and M. Acutis, 2006. Comparison of WOFOST, CropSyst and WARM for simulating rice growth (Japonica type - short cycle varieties). Italian Journal of Agrometeorology 11-3: 7-16.
Confalonieri, R., G. Bellocchi, S. Bregaglio, M. Donatelli, and M. Acutis, 2010. Comparison of sensitivity analysis techniques: a case study with the rice model WARM." Ecological Modelling 221(16): 1897-1906.
Confalonieri, R., M. Acutis, G. Bellocchi, and M. Donatelli, 2009. Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice. Ecological Modelling 220(11): 1395-1410.
Dastane, N. G., 1978. "Effective Rainfall in Irrigated Agriculture. FAO Irrigation and Drainage Paper No. 25." Food and Agriculture Organization (FAO), Rome, Italy, 67pp.
Djaman, K., and S. Irmak, 2013. Actual Crop Evapotranspiration and Alfalfa- and Grass-Reference Crop Coefficients of Maize under Full and Limited Irrigation and Rainfed Conditions. Journal of Irrigation and Drainage Engineering 139(6): 433-446.
Guerra, L., S. I. Bhuiyan, T. P. Tuong, and R. Barker, 1998. Producing more rice with less water. SWIM Paper 5. Colombo, Sri Lank: International Water Management Institute, 4-6.
Jang, M.-W., J.-Y. Choi, J.-J. Lee, 2007. A spatial reasoning approach to estimating paddy rice water demand in Hwanghaenam-do, North Korea. Agricultural water management 89: 185-198.
Kim, H. K., P. B. Parajuli, and S. D. Filip To, 2013. Assessing impacts of bioenergy crops and climate change on hydrometeorology in the Yazoo River Basin, Mississippi. Agricultural and Forest Meteorology 169: 61-73.
Kim, H. Y., T. Horie, H. Nakagawa, and K. Wada, 1996. Effects of elevated $CO_{2}$ concentration and high temperature on growth and yield of rice [Oryza sativa], 2: The effect on yield and its components of Akihikari rice. Japanese Journal of Crop Science 65(4): 644-651.
Kim, J., J. Shon, C.K. Lee, W. Yang, Y. Yoon, W.H. Yang, and B.W. Lee, 2011. "Relationship between grain filling duration and leaf senescence of temperate rice under high temperature. Field Crops Research 122(3): 207-213.
Ledbetter R., C. Prudhomme, and N. Arnell, 2012. A method for incorporating climate variability in climate change impact assessments: Sensitivity of river flows in the Eden catchment to precipitation scenarios." Climatic Change 113(3-4): 803-823.
Lupia, F., 2013. ETo-PM version 0.9. http://dspace. inea.it, accessed 4 July, 2013.
Masoud, P., Yazdi, A. B., S. Araghinejad, A. P. Nejadhashemi, and M. S. Tabrizi, 2013. Optimal water allocation in irrigation networks based on real time climatic data. Agricultural Water Management 117: 1-8.
Masutomi, Y., K. Takahashi, H. Harasawa, and Y. Matsuoka, 2009. Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models.
Mehta, V. K., V. R. Haden, B. A. Joyce, D. R. Purkey, and L. E. Jackson, (2013), "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California." Agricultural Water Management 117: 70-82.
Semenov, M. A., R. A. C. Mitchell, A. P. Whitmore, M. J. Hawkesford, M. A. J. Parry, and P.R. Shewry, 2012. Shortcomings in wheat yield predictions. Nature Climate Change 2(6): 380-382.
Supit, I., C. A. Van Diepen, A. J. W. De Wit, J. Wolf, P. Kabat, B. Baruth, and F. Ludwig, 2012. Assessing climate change effects on European crop yields using the Crop Growth Monitoring System and a weather generator. Agricultural and Forest Meteorology 164:96-111.
Tallec, T., P. Beziat, N. Jarosz, V. Rivalland, and E. Ceschia, 2013. Crops' water use efficiencies in temperate climate: Comparison of stand, ecosystem and agronomical approaches. Agricultural and Forest Meteorology 168:69-81.
Van Minnen, J. G., J. Alcamo, and W. Haupt, 2000. Deriving and applying response surface diagrams for evaluating climate change impacts on crop production. Climatic Change 46: 317-338.
Weatherhead, E. K., and J. W. Knox, 2000. Predicting and mapping the future demand for irrigation water in England and Wales. Agricultural Water Management 43: 203-218.
Yoo, S.-H., J.-Y. Choi, S.-H. Lee, Y.-G. Oh, and D.-K. Yun, 2013. Climate change impacts on water storage requirements of an agricultural reservoir considering changes in land use and rice growing season in Korea. Agricultural Water Management 117: 43-54.
Ziska, L. H., O. Namuco, T. Moya, and J. Quilang, 1997. Growth and Yield Response of Field-Grown Tropical Rice to Increasing Carbon Dioxide and Air Temperature." Agronomy Journal 89: 45-53.
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