Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-549-2017
https://doi.org/10.5194/hess-21-549-2017
Research article
 | 
27 Jan 2017
Research article |  | 27 Jan 2017

Spatially distributed characterization of soil-moisture dynamics using travel-time distributions

Falk Heße, Matthias Zink, Rohini Kumar, Luis Samaniego, 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 (15 Aug 2016) by Markus Hrachowitz
AR by Falk Heße on behalf of the Authors (23 Aug 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (24 Aug 2016) by Markus Hrachowitz
RR by Hilary McMillan (09 Sep 2016)
ED: Publish subject to minor revisions (Editor review) (27 Sep 2016) by Markus Hrachowitz
AR by Falk Heße on behalf of the Authors (12 Oct 2016)  Author's response   Manuscript 
ED: Publish as is (14 Oct 2016) by Markus Hrachowitz
AR by Falk Heße on behalf of the Authors (18 Oct 2016)  Manuscript 
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Short summary
Travel-time distributions are a comprehensive tool for the characterization of hydrological systems. In our study, we used data that were simulated by virtue of a well-established hydrological model. This gave us a very large yet realistic dataset, both in time and space, from which we could infer the relative impact of different factors on travel-time behavior. These were, in particular, meteorological (precipitation), land surface (land cover, leaf-area index) and subsurface (soil) properties.