Evaluation of regional climate scenario data for impact assessment of climate change on rice productivity in Korea

Author:

Kim Junhwan,Sang Wangyu,Shin Pyeong,Cho Hyeounsuk,Seo Myungchul,Yoo Byounghyun,Kim Kwang Soo

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Reference22 articles.

1. Asseng S, Ewert F, Rosenzweig C, Jones JW, Hatfield JL,et al. 2013. Uncertainty in simulating wheat yields under climate change. Nat. Climate Change 3: 827–832

2. Bouman B, Kropff MJ, Tuong TP, Wopereis M, ten Berge H, van Laar HH. 2001. Oryza2000: modeling lowland rice. IRRI, Manila, Philippines and Wageningen University and Research Centre, Wageningen, the Netherlands.

3. Christensen JH, Boberg F, Christensen OB, Lucas-Picher P. 2008. On the need for bias correction of regional climate change projections of temperature and precipitation. Geophys. Res. Lett. 35, L20709, doi: 10.1029/2008GL035694

4. Chung U, Cho J, Lee E. 2015. Evaluation of agro-climatic index using multi-model ensemble downscaled climate prediction of CMIP5. Korean J. Agric. For. Meteorol. 17: 108–125

5. Fodor N, Kovács GJ. 2005. Sensitivity of crop models to the inaccuracy of meteorological observations. Phys. Chem. Earth, Parts A/B/C 30, 53–57. doi: 10.1016/j.pce.2004.08.020

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