Articles | Volume 5, issue 4
https://doi.org/10.5194/esurf-5-821-2017
https://doi.org/10.5194/esurf-5-821-2017
Research article
 | 
07 Dec 2017
Research article |  | 07 Dec 2017

Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques

Wolfgang Schwanghart and Dirk Scherler

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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
AR by Wolfgang Schwanghart on behalf of the Authors (22 Sep 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Oct 2017) by Paola Passalacqua
RR by Anonymous Referee #1 (28 Oct 2017)
RR by Fiona Clubb (30 Oct 2017)
ED: Publish subject to minor revisions (review by editor) (05 Nov 2017) by Paola Passalacqua
AR by Wolfgang Schwanghart on behalf of the Authors (06 Nov 2017)  Author's response   Manuscript 
ED: Publish as is (06 Nov 2017) by Paola Passalacqua
ED: Publish as is (06 Nov 2017) by Tom Coulthard (Editor)
AR by Wolfgang Schwanghart on behalf of the Authors (07 Nov 2017)  Manuscript 
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Short summary
River profiles derived from digital elevation models are affected by errors. Here we present two new algorithms – quantile carving and the CRS algorithm – to hydrologically correct river profiles. Both algorithms preserve the downstream decreasing shape of river profiles, while CRS additionally smooths profiles to avoid artificial steps. Our algorithms are able to cope with the problems of overestimation and asymmetric error distributions.