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

Schwanghart, Wolfgang; Scherler, Dirk

doi:https://doi.org/10.5194/esurf-5-821-2017

Articles | Volume 5, issue 4

https://doi.org/10.5194/esurf-5-821-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-5-821-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 4

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

Download

Final revised paper (published on 07 Dec 2017)
Supplement to the final revised paper
Preprint (discussion started on 04 Aug 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review comments on esurf-2017-50', Anonymous Referee #1, 30 Aug 2017
RC2: 'Review of esurf-2017-50: `Bumps in river profiles: the good, the bad, and the ugly' by W. Schwanghart and D. Scherler', Fiona Clubb, 04 Sep 2017
AC1: 'Final response by W. Schwanghart and D. Scherler', Wolfgang Schwanghart, 22 Sep 2017

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

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.