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


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 Anna Mirena Feist-Polner on behalf of the Authors (20 Jan 2020)  Author's response
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.