Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-171-2019
https://doi.org/10.5194/hess-23-171-2019
Research article
 | 
15 Jan 2019
Research article |  | 15 Jan 2019

Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions

Miao Jing, Falk Heße, Rohini Kumar, Olaf Kolditz, Thomas Kalbacher, and Sabine Attinger

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Interactive discussion

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: Reconsider after major revisions (further review by editor and referees) (12 Nov 2018) by Brian Berkowitz
AR by Miao Jing on behalf of the Authors (16 Nov 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Nov 2018) by Brian Berkowitz
RR by Erwin Zehe (19 Dec 2018)
ED: Publish as is (23 Dec 2018) by Brian Berkowitz
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Short summary
We evaluated the uncertainty propagation from the inputs (forcings) and parameters to the predictions of groundwater travel time distributions (TTDs) using a fully distributed numerical model (mHM-OGS) and the StorAge Selection (SAS) function. Through detailed numerical and analytical investigations, we emphasize the key role of recharge estimation in the reliable predictions of TTDs and the good interpretability of the SAS function.