Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1645-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1645-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
20 Apr 2017
Model description paper |
| 20 Apr 2017
The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds
Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA
Nicole M. Gasparini
Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA
Daniel E. J. Hobley
School of Earth and Ocean Sciences, Cardiff University, Cardiff, UK
Gregory E. Tucker
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
Department of Geological Sciences, University of Colorado, Boulder, CO, USA
Eric W. H. Hutton
Community Surface Dynamics Modeling System (CSDMS), University of Colorado, Boulder, CO, USA
Sai S. Nudurupati
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
Erkan Istanbulluoglu
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
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Latest update: 14 Dec 2024
Short summary
OverlandFlow is a 2-dimensional hydrology component contained within the Landlab modeling framework. It can be applied in both hydrology and geomorphology applications across real and synthetic landscape grids, for both short- and long-term events. This paper finds that this non-steady hydrology regime produces different landscape characteristics when compared to more traditional steady-state hydrology and geomorphology models, suggesting that hydrology regime can impact resulting morphologies.
OverlandFlow is a 2-dimensional hydrology component contained within the Landlab modeling...
