Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1267-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1267-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
03 Apr 2019
Model description paper | Highlight paper |
| 03 Apr 2019
| 03 Apr 2019
Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution
Katherine R. Barnhart
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO, USA
Department of Geological Sciences, University of Colorado at Boulder, Boulder, CO, USA
Rachel C. Glade
Department of Geological Sciences, University of Colorado at Boulder, Boulder, CO, USA
Institute for Arctic and Alpine Research, University of Colorado at Boulder, Boulder, CO, USA
Charles M. Shobe
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO, USA
Department of Geological Sciences, University of Colorado at Boulder, Boulder, CO, USA
Gregory E. Tucker
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO, USA
Department of Geological Sciences, University of Colorado at Boulder, Boulder, CO, USA
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Cited
17 citations as recorded by crossref.
- Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources K. Barnhart et al. 10.1029/2020JF005795
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- How impervious are solar arrays? On the need for geomorphic assessment of energy transition technologies C. Shobe 10.1002/esp.5489
- Morphotectonic Evolution of an Alluvial Fan: Results of a Joint Analog and Numerical Modeling Approach C. Garcia-Estève et al. 10.3390/geosciences11100412
- umami: A Python package for Earth surface dynamics objective function construction K. Barnhart et al. 10.21105/joss.01776
- Multi-objective optimisation of a rock coast evolution model with cosmogenic <sup>10</sup>Be analysis for the quantification of long-term cliff retreat rates J. Shadrick et al. 10.5194/esurf-9-1505-2021
- Using vertices of a triangular irregular network to calculate slope and aspect G. Hu et al. 10.1080/13658816.2021.1933493
- The uncertain future of mountaintop-removal-mined landscapes 1: How mining changes erosion processes and variables C. Shobe et al. 10.1016/j.geomorph.2023.108984
- Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis K. Barnhart et al. 10.1029/2018JF004961
- The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics B. Campforts et al. 10.1029/2022JF006745
- Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks G. Hu et al. 10.1080/15481603.2022.2044149
- Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation K. Barnhart et al. 10.1029/2018JF004963
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- Modeling soil and landscape evolution – the effect of rainfall and land-use change on soil and landscape patterns W. van der Meij et al. 10.5194/soil-6-337-2020
- Inverting Topography for Landscape Evolution Model Process Representation: 3. Determining Parameter Ranges for Select Mature Geomorphic Transport Laws and Connecting Changes in Fluvial Erodibility to Changes in Climate K. Barnhart et al. 10.1029/2019JF005287
- Modeling Cosmogenic Nuclides in Transiently Evolving Topography and Chemically Weathering Soils M. Reed et al. 10.1029/2023JF007201
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. 10.5194/gmd-17-71-2024
17 citations as recorded by crossref.
- Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources K. Barnhart et al. 10.1029/2020JF005795
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- How impervious are solar arrays? On the need for geomorphic assessment of energy transition technologies C. Shobe 10.1002/esp.5489
- Morphotectonic Evolution of an Alluvial Fan: Results of a Joint Analog and Numerical Modeling Approach C. Garcia-Estève et al. 10.3390/geosciences11100412
- umami: A Python package for Earth surface dynamics objective function construction K. Barnhart et al. 10.21105/joss.01776
- Multi-objective optimisation of a rock coast evolution model with cosmogenic <sup>10</sup>Be analysis for the quantification of long-term cliff retreat rates J. Shadrick et al. 10.5194/esurf-9-1505-2021
- Using vertices of a triangular irregular network to calculate slope and aspect G. Hu et al. 10.1080/13658816.2021.1933493
- The uncertain future of mountaintop-removal-mined landscapes 1: How mining changes erosion processes and variables C. Shobe et al. 10.1016/j.geomorph.2023.108984
- Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis K. Barnhart et al. 10.1029/2018JF004961
- The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics B. Campforts et al. 10.1029/2022JF006745
- Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks G. Hu et al. 10.1080/15481603.2022.2044149
- Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation K. Barnhart et al. 10.1029/2018JF004963
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- Modeling soil and landscape evolution – the effect of rainfall and land-use change on soil and landscape patterns W. van der Meij et al. 10.5194/soil-6-337-2020
- Inverting Topography for Landscape Evolution Model Process Representation: 3. Determining Parameter Ranges for Select Mature Geomorphic Transport Laws and Connecting Changes in Fluvial Erodibility to Changes in Climate K. Barnhart et al. 10.1029/2019JF005287
- Modeling Cosmogenic Nuclides in Transiently Evolving Topography and Chemically Weathering Soils M. Reed et al. 10.1029/2023JF007201
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. 10.5194/gmd-17-71-2024
Latest update: 19 Apr 2024
Short summary
Terrainbento 1.0 is a Python package for modeling the evolution of the surface of the Earth over geologic time (e.g., thousands to millions of years). Despite many decades of effort by the geomorphology community, there is no one established governing equation for the evolution of topography. Terrainbento 1.0 thus provides 28 alternative models that support hypothesis testing and multi-model analysis in landscape evolution.
Terrainbento 1.0 is a Python package for modeling the evolution of the surface of the Earth over...
