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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (05 Dec 2019) by Markus Weiler
AR by Zhihua He on behalf of the Authors (03 Jan 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Jan 2020) by Markus Weiler
RR by Anonymous Referee #2 (29 Feb 2020)
ED: Publish subject to minor revisions (review by editor) (13 Apr 2020) by Markus Weiler
AR by Zhihua He on behalf of the Authors (23 Apr 2020)  Author's response    Manuscript
ED: Publish as is (05 May 2020) by Markus Weiler
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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.