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

Viewed

Total article views: 3,507 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,050 1,373 84 3,507 67 119
  • HTML: 2,050
  • PDF: 1,373
  • XML: 84
  • Total: 3,507
  • BibTeX: 67
  • EndNote: 119
Views and downloads (calculated since 24 May 2017)
Cumulative views and downloads (calculated since 24 May 2017)

Viewed (geographical distribution)

Total article views: 3,507 (including HTML, PDF, and XML) Thereof 3,341 with geography defined and 166 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
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.