Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4873-2018
https://doi.org/10.5194/gmd-11-4873-2018
Model evaluation paper
 | 
06 Dec 2018
Model evaluation paper |  | 06 Dec 2018

Global sensitivity analysis of parameter uncertainty in landscape evolution models

Christopher J. Skinner, Tom J. Coulthard, Wolfgang Schwanghart, Marco J. Van De Wiel, and Greg Hancock

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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 Christopher Skinner on behalf of the Authors (10 Jul 2018)  Author's response   Manuscript 
ED: Reconsider after major revisions (03 Aug 2018) by Bethanna Jackson
ED: Referee Nomination & Report Request started (06 Aug 2018) by Bethanna Jackson
RR by Andy Wickert (19 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (23 Aug 2018) by Bethanna Jackson
AR by Christopher Skinner on behalf of the Authors (05 Sep 2018)  Author's response   Manuscript 
ED: Publish as is (11 Sep 2018) by Bethanna Jackson
AR by Christopher Skinner on behalf of the Authors (19 Sep 2018)
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Short summary
Landscape evolution models are computer models used to understand how the Earth’s surface changes over time. Although designed to look at broad changes over very long time periods, they could potentially be used to predict smaller changes over shorter periods. However, to do this we need to better understand how the models respond to changes in their set-up – i.e. their behaviour. This work presents a method which can be applied to these models in order to better understand their behaviour.