Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations

Barnes, Richard; Callaghan, Kerry L.; Wickert, Andrew D.

doi:https://doi.org/10.5194/esurf-8-431-2020

Articles | Volume 8, issue 2

https://doi.org/10.5194/esurf-8-431-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-8-431-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 2

Research article

|

02 Jun 2020

Research article |

| 02 Jun 2020

Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations

Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert

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Final revised paper (published on 02 Jun 2020)
Preprint (discussion started on 17 Jun 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for "Computing water flow through complex landscapes, Part 2"', Anonymous Referee #1, 01 Jul 2019
- AC1: 'Response to Reviewer 1', Richard Barnes, 10 Oct 2019
RC2: 'Review', Wolfgang Schwanghart, 12 Jul 2019
- AC2: 'Response to Reviewer 2', Richard Barnes, 10 Oct 2019

Peer-review completion

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

AR by Richard Barnes on behalf of the Authors (11 Dec 2019) Manuscript

ED: Publish subject to minor revisions (review by editor) (28 Jan 2020) by Richard Gloaguen

AR by Richard Barnes on behalf of the Authors (23 Feb 2020) Author's response Manuscript

ED: Publish subject to technical corrections (24 Feb 2020) by Richard Gloaguen

ED: Publish subject to technical corrections (04 Mar 2020) by Niels Hovius (Editor)

AR by Richard Barnes on behalf of the Authors (09 Mar 2020) Author's response Manuscript

Short summary

Maps of elevation are used to help predict the flow of water so we can better understand landslides, floods, and global climate change. However, modeling the flow of water is difficult when elevation maps include swamps, lakes, and other depressions. This paper explains a new method that overcomes these difficulties, allowing models to run faster and more accurately.