Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4577-2017
https://doi.org/10.5194/gmd-10-4577-2017
Model description paper
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18 Dec 2017
Model description paper | Highlight paper |  | 18 Dec 2017

The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution

Charles M. Shobe, Gregory E. Tucker, and Katherine R. Barnhart

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Cited articles

Adams, J. M., Gasparini, N. M., Hobley, D. E. J., Tucker, G. E., Hutton, E. W. H., Nudurupati, S. S., and Istanbulluoglu, E.: The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds, Geosci. Model Dev., 10, 1645–1663, https://doi.org/10.5194/gmd-10-1645-2017, 2017.
Amos, C. B., and Burbank, D. W.: Channel width response to differential uplift, J. Geophys. Res., 112, F02010, https://doi.org/10.1029/2006JF000672, 2007.
Armitage, J. J., Duller, R. A., Whittaker, A. C., and Allen, P. A.: Transformation of tectonic and climatic signals from source to sedimentary archive, Nat. Geosci., 4, 231–235, https://doi.org/10.1038/NGEO1087, 2011.
Attal, M., Tucker, G. E., Whittaker, A. C., Cowie, P. A., and Roberts, G. P.: Modeling fluvial incision and transient landscape evolution: influence of dynamic channel adjustment, J. Geophys. Res., 113, F03013, https://doi.org/10.1029/2007JF000893, 2008.
Beaumont, C., Fullsack, P., and Hamilton, J.: Erosional control of active compressional orogens, in: Thrust Tectonics, edited by: McClay, K. R., Chapman Hall, New York, 1–18, https://doi.org/10.1007/978-94-011-3066-0_1, 1992.
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Short summary
Rivers control the movement of sediment and nutrients across Earth's surface. Understanding how rivers change through time is important for mitigating natural hazards and predicting Earth's response to climate change. We develop a new computer model for predicting how rivers cut through sediment and rock. Our model is designed to be joined with models of flooding, landslides, vegetation change, and other factors to provide a comprehensive toolbox for predicting changes to the landscape.