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2020 Vol.40, Issue 6 Preview Page

Research Article

30 December 2020. pp. 89-94
Abstract
References
1
Fiseha, B. M., Melesse, A. M., Romano, E., Volpi, E., and Fiori, A., Statistical Downscaling of Precipitation and Temperature for the Upper Tiber Basin in Central Italy. International Journal of Water Sciences, Vol. 1, 2012. 10.5772/52890
2
Lee, T., Park, T., Lee, H., and Jeong, C., Temporal Downscaling of Precipitation from Daily to Hourly Based on Nonparaetric Approach: Assessment of the Climate Change Impacts on the Hourly Precipitation for the Gyeongnam Region, Journal of Korean Society of Hazard Mitigation, Vol. 14, No. 4, pp. 301-308, 2014. 10.9798/KOSHAM.2014.14.4.301
3
Gutiérrez, J. M., Cofiño, A. S., Cano, R., and Rodríguez, M. A., Clustering methods for statistical downscaling in short-range weather forecasts, Monthly Weather Review, Vol. 132, No. 9, pp. 2169-2183, 2004. 10.1175/1520-0493(2004)132<2169:CMFSDI>2.0.CO;2
4
Sachindra, D. A., Ahmed, K., Rashid, M. M., Shahid, S., and Perera, B. J. C., Statistical Downscaling of Precipitation Using Machine Learning Techniques, Atmospheric Research, Vol. 212, pp. 240-258, 2018. 10.1016/j.atmosres.2018.05.022
5
Campozano, L., Tenelanda, D., Sanchez, E., Samaniego, E., and Feyen, J., Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador, Advances in Meteorology, 2016. 10.1155/2016/6526341
Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 40
  • No :6
  • Pages :89-94
  • Received Date : 2020-11-05
  • Revised Date : 2020-11-16
  • Accepted Date : 2020-11-20