1 |
Doll, P., 2002. Impact of climate change and variability on irrigation requirements: a global perspective. Climate Change 54: 269-293
DOI
ScienceOn
|
2 |
Gordon, C., C. Cooper, C.A. Senior, H. Banks, J.M. Gregory, T.C. Johns, J.F.B. Mitchell, and R.A. Wood, 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Climate Dynamics 16: 147-168
DOI
ScienceOn
|
3 |
IPCC, 2000. Special Report on Emissions Scenarios. Cambridge University Press, Cambridge, UK, 570pp
|
4 |
METRI (Korea Meteorological Research Institute), 2002, 2003, 2004. The Development of Regional Climate Change Scenario for the National Climate Change Report (I, II, III). Seoul, Korea (in Korean)
|
5 |
METRI (Korea Meteorological Research Institute), 2005, 2006. The Application of Regional Climate Change Scenario for the National Climate Change Report (I, II). Seoul, Korea (in Korean)
|
6 |
Thomas, A., 2008. Agricultural irrigation demand under present and future climate scenarios in China. Global and Planetary Change 60(3-4): 306-326
DOI
ScienceOn
|
7 |
Ministry of Environment, Korea, 2002. Developemnt of Monitoring, Projection and Impact Assessment of Climate Change. Final report Vol. 1 and 2. Yonsei University, Seoul Korea (in Korean)
|
8 |
MOAF (Ministry of Agriculture and Forestry, Republic of Korea), 1998. Farmland improvement projects design standards-Irrigation. Seoul, Korea
|
9 |
Bae, D-H., I.W. Jung and H. Chang, 2008. Potential changes in Korea water resources estimated by high-resolution climate simulation. Climate Research 35: 213-226
DOI
|
10 |
Matthews, R.B., M.J. Kropff, D. Bachelet and H.H. van Larr, 1995. (eds.) Modeling the Impact of Climate Change on Rice Production in Asia. CAB International, Oxon, UK, 289pp
|
11 |
IPCC, 2007. Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge, UK, 966pp
|
12 |
IPCC-TGICA, 2007. General Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment. Version 2, 66pp
|
13 |
MOAF (Ministry of Agriculture and Forestry, Republic of Korea), 2007. Statistical yearbook of land and water development for agriculture. Seoul, Korea, 26p
|
14 |
Tao, F., Y. Hayashi, Z. Zhang, T. Sakamoto and M. Yokozawa, 2008. Global warming, rice production, and water use in China: Developing a probabilistic assessment, Agricultural and Forestry Meteorology 148: 94-110
DOI
ScienceOn
|
15 |
New, M., D. Lister, M. Hulme and I. Makin, 2002. A high resolution data set of surface climate over global land areas. Climate Research, 21: 1-25
DOI
|
16 |
Yao, F., Y. Xu, E. Lin, M. Yokozawa and J. Zhang, 2007. Assessing the impacts of climate change on rice yields in the main rice areas of China. Climate Change 80: 395-409
DOI
ScienceOn
|
17 |
Allen, R.G., L.S. Pereira, D. Raes and M. Smith, 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigationand Drainage paper 56, Rome, Italy, 296pp
|
18 |
Smith, M., 1992. CROPWAT-A computer program for irrigation planning and management. FAO Irrigation and Drainage paper 46, Rome, Italy, 126pp
|
19 |
Wilby, R,L. and C.W. Dawson, 2007. Statistical Downscaling model SDSM Version 4.2 User manual, 94pp. https://co-public.lboro.ac.uk/cocwd/SDSM. Accessed 17 Oct. 2008
|
20 |
De Silva, C.S., E.K. Weatherhead, J.W. Knox and J.A. Rodriguez-Diaz, 2007. Predicting the impacts of climate change- A case study of paddy irrigation water requirements in Sri Lanka, Agricultural Water Management 93(1-2): 19-29
DOI
ScienceOn
|