Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 12
Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4873-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4873-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 12
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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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.
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