Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2391-2018
https://doi.org/10.5194/hess-22-2391-2018
Research article
 | 
20 Apr 2018
Research article |  | 20 Apr 2018

Analyzing the future climate change of Upper Blue Nile River basin using statistical downscaling techniques

Dagnenet Fenta Mekonnen and Markus Disse

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Cited articles

Amirabadizadeh, M., Ghazali, A. H., Huang, Y. F., and Wayayok, A.: Downscaling daily precipitation and temperatures over the Langat River Basin in Malaysia: a comparison of two statistical downscaling approaches, International Journal of Water Resources and Environmental Engineering, 8, 120–136, 2016. 
Awulachew, S. B., Yilma, A. D., Loulseged, M., Loiskandl, W., Ayana, M., and Alamirew, T.: Water Resources and Irrigation Development in Ethiopia, Working Paper 123, International Water Management Institute, Colombo, Sri Lanka, 78 pp., 2007. 
BCEOM: Abbay River Basin Integrated Development Master Plan, section II, volume V – Water Resources Development, part 1 – Irrigation and Drainage, Ministry of Water Resources, Addis Ababa, Ethiopia, 1998. 
Bewket, W. and Conway, D.: A note on the temporal and spatial variability of rainfall in the drought-prone Amhara region of Ethiopia, Int. J. Climatol., 27, 1467–1477, 2007. 
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In this study we used multimodel GCMs (because of recognized intervariable biases in host GCMs) and two widely used statistical downscaling techniques (LARS-WG and SDSM) to see comparative performances in the Upper Blue Nile River basin, where there is high climate variability. The result from the two downscaling models suggested that both SDSM and LARS-WG approximate the observed climate data reasonably well and project an increasing trend for precipitation and maximum and minimum temperature.
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