Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5531-2017
https://doi.org/10.5194/hess-21-5531-2017
Research article
 | 
13 Nov 2017
Research article |  | 13 Nov 2017

Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method in the Jing River of China

Zhi Li and Jiming Jin

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Short summary
We developed an efficient multisite and multivariate GCM downscaling method and generated climate change scenarios for SWAT to evaluate the streamflow variability within a watershed in China. The application of the ensemble techniques enables us to better quantify the model uncertainties. The peak values of precipitation and streamflow have a tendency to shift from the summer to spring season over the next 30 years. The number of extreme flooding and drought events will increase.
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