Modeling long-term, large-scale sediment storage using a simple sediment budget approach

Naipal, Victoria; Reick, Christian; Van Oost, Kristof; Hoffmann, Thomas; Pongratz, Julia

doi:https://doi.org/10.5194/esurf-4-407-2016

Articles | Volume 4, issue 2

https://doi.org/10.5194/esurf-4-407-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esurf-4-407-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 4, issue 2

Research article

|

20 May 2016

Research article |

| 20 May 2016

Modeling long-term, large-scale sediment storage using a simple sediment budget approach

Victoria Naipal, Christian Reick, Kristof Van Oost, Thomas Hoffmann, and Julia Pongratz

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Final revised paper (published on 20 May 2016)
Supplement to the final revised paper
Preprint (discussion started on 18 Jan 2016)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comments', Adrian Chappell, 15 Feb 2016
- AC1: 'Author’s Response to Reviewer A. Chappell', Victoria Naipal, 21 Mar 2016
RC2: 'Review', Bertrand Guenet, 16 Feb 2016
- AC2: 'Author’s Response to Referee B. Guenet', Victoria Naipal, 21 Mar 2016
EC1: 'Resubmission', Arnaud Temme, 22 Mar 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Victoria Naipal on behalf of the Authors (14 Apr 2016) Author's response Manuscript

ED: Publish as is (02 May 2016) by Arnaud Temme

ED: Publish as is (03 May 2016) by Andreas Lang (Editor)

AR by Victoria Naipal on behalf of the Authors (03 May 2016) Manuscript

Short summary

We present a new large-scale coarse-resolution sediment budget model that is compatible with Earth system models and simulates sediment dynamics in floodplains and on hillslopes. We applied this model on the Rhine catchment for the last millennium, and found that the model reproduces the spatial distribution of sediment storage and the scaling relationships as found in observations. We also identified that land use change explains most of the temporal variability in sediment storage.