Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-3289-2020
https://doi.org/10.5194/hess-24-3289-2020
Research article
 | 
29 Jun 2020
Research article |  | 29 Jun 2020

Comparing Bayesian and traditional end-member mixing approaches for hydrograph separation in a glacierized basin

Zhihua He, Katy Unger-Shayesteh, Sergiy Vorogushyn, Stephan M. Weise, Doris Duethmann, Olga Kalashnikova, Abror Gafurov, and Bruno Merz

Viewed

Total article views: 3,137 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,144 928 65 3,137 191 70 68
  • HTML: 2,144
  • PDF: 928
  • XML: 65
  • Total: 3,137
  • Supplement: 191
  • BibTeX: 70
  • EndNote: 68
Views and downloads (calculated since 26 Aug 2019)
Cumulative views and downloads (calculated since 26 Aug 2019)

Viewed (geographical distribution)

Total article views: 3,137 (including HTML, PDF, and XML) Thereof 2,693 with geography defined and 444 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Quantifying the seasonal contributions of the runoff components, including groundwater, snowmelt, glacier melt, and rainfall, to streamflow is highly necessary for understanding the dynamics of water resources in glacierized basins given the vulnerability of snow- and glacier-dominated environments to the current climate warming. Our study provides the first comparison of two end-member mixing approaches for hydrograph separation in glacierized basins.