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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Short summary
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.