Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2895-2020
https://doi.org/10.5194/hess-24-2895-2020
Research article
 | 
03 Jun 2020
Research article |  | 03 Jun 2020

On the shape of forward transit time distributions in low-order catchments

Ingo Heidbüchel, Jie Yang, Andreas Musolff, Peter Troch, Ty Ferré, and Jan H. Fleckenstein

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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) (27 Dec 2019) by Nunzio Romano
AR by Ingo Heidbüchel on behalf of the Authors (07 Feb 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Feb 2020) by Nunzio Romano
RR by Anonymous Referee #2 (09 Mar 2020)
RR by Anonymous Referee #1 (11 Mar 2020)
ED: Publish subject to minor revisions (review by editor) (17 Mar 2020) by Nunzio Romano
AR by Ingo Heidbüchel on behalf of the Authors (27 Mar 2020)  Author's response   Manuscript 
ED: Publish as is (02 Apr 2020) by Nunzio Romano
AR by Ingo Heidbüchel on behalf of the Authors (08 Apr 2020)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Ingo Heidbüchel on behalf of the Authors (20 May 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (20 May 2020) by Nunzio Romano
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Short summary
With the help of a 3-D computer model we examined how long the water of different rain events stays inside small catchments before it is discharged and how the nature of this discharge is controlled by different catchment and climate properties. We found that one can only predict the discharge dynamics when taking into account a combination of catchment and climate properties (i.e., there was not one single most important predictor). Our results can help to manage water pollution events.