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

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

doi:https://doi.org/10.5194/hess-24-3289-2020

Articles | Volume 24, issue 6

https://doi.org/10.5194/hess-24-3289-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-3289-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 6

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

Supplement

https://doi.org/10.5194/hess-24-3289-2020-supplement

Data sets

Bayesian end-member mixing approach Z. H. He https://doi.org/10.5281/zenodo.3897266

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.