Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4577-2017
© Author(s) 2017. 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-10-4577-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
18 Dec 2017
Model description paper | Highlight paper |
| 18 Dec 2017
| 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
CORRESPONDING AUTHOR
CIRES and Department of Geological Sciences, University of Colorado, Boulder, Colorado, USA
Gregory E. Tucker
CIRES and Department of Geological Sciences, University of Colorado, Boulder, Colorado, USA
Katherine R. Barnhart
CIRES and Department of Geological Sciences, University of Colorado, Boulder, Colorado, USA
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48 citations as recorded by crossref.
- Short Communication: Numerically simulated time to steady state is not a reliable measure of landscape response time N. Gasparini et al. 10.5194/esurf-12-1227-2024
- Thickness of Fluvial Deposits Records Climate Oscillations X. Yuan et al. 10.1029/2021JB023510
- Comparing the transport-limited and <i>ξ</i>–<i>q</i> models for sediment transport J. Braun 10.5194/esurf-10-301-2022
- Numerical Simulations of Meanders Migrating Laterally as They Incise Into Bedrock T. Inoue et al. 10.1029/2020JF005645
- Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis K. Barnhart et al. 10.1029/2018JF004961
- Southeastern Tibetan Plateau Growth Revealed by Inverse Analysis of Landscape Evolution Model X. Yuan et al. 10.1029/2021GL097623
- Bedrock river erosion through dipping layered rocks: quantifying erodibility through kinematic wave speed N. Mitchell & B. Yanites 10.5194/esurf-9-723-2021
- Variable‐Threshold Behavior in Rivers Arising From Hillslope‐Derived Blocks C. Shobe et al. 10.1029/2017JF004575
- Parameterization of river incision models requires accounting for environmental heterogeneity: insights from the tropical Andes B. Campforts et al. 10.5194/esurf-8-447-2020
- A mathematical model for bedrock incision in near‐threshold gravel‐bed rivers V. Gabel et al. 10.1002/esp.5957
- Drainage reorganization induces deviations in the scaling between valley width and drainage area E. Harel et al. 10.5194/esurf-10-875-2022
- Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications M. Chen et al. 10.1016/j.earscirev.2020.103223
- Mass balance, grade, and adjustment timescales in bedrock channels J. Turowski 10.5194/esurf-8-103-2020
- HyLands 1.0: a hybrid landscape evolution model to simulate the impact of landslides and landslide-derived sediment on landscape evolution B. Campforts et al. 10.5194/gmd-13-3863-2020
- Impact of vegetation on erosion: Insights from the calibration and test of a landscape evolution model in alpine badland catchments A. Carriere et al. 10.1002/esp.4741
- Alluvial cover controlling the width, slope and sinuosity of bedrock channels J. Turowski 10.5194/esurf-6-29-2018
- 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
- Numerical examination of the geomorphic indicators for lateral fold growth L. Gao et al. 10.1016/j.geomorph.2023.108702
- Short communication: Landlab v2.0: a software package for Earth surface dynamics K. Barnhart et al. 10.5194/esurf-8-379-2020
- The uncertain future of mountaintop-removal-mined landscapes 2: Modeling the influence of topography and vegetation S. Bower et al. 10.1016/j.geomorph.2023.108985
- Past anthropogenic land use change caused a regime shift of the fluvial response to Holocene climate change in the Chinese Loess Plateau H. Chen et al. 10.5194/esurf-12-163-2024
- Self-organization of channels and hillslopes in models of fluvial landform evolution and its potential for solving scaling issues S. Hergarten & A. Pietrek 10.5194/esurf-11-741-2023
- Alluvial cover on bedrock channels: applicability of existing models J. Mishra & T. Inoue 10.5194/esurf-8-695-2020
- CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale A. Abbate et al. 10.5194/nhess-24-501-2024
- Fluvial landscape evolution controlled by the sediment deposition coefficient: Estimation from experimental and natural landscapes L. Guerit et al. 10.1130/G46356.1
- The distribution of sediment residence times at the foot of mountains and its implications for proxies recorded in sedimentary basins S. Carretier et al. 10.1016/j.epsl.2020.116448
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics B. Campforts et al. 10.1029/2022JF006745
- Effect of rock uplift and Milankovitch timescale variations in precipitation and vegetation cover on catchment erosion rates H. Sharma et al. 10.5194/esurf-9-1045-2021
- Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models J. Kwang & G. Parker 10.1029/2019GL083305
- eSCAPE: Regional to Global Scale Landscape Evolution Model v2.0 T. Salles 10.5194/gmd-12-4165-2019
- Earthquake-induced landslides coupled to fluvial incision in Andean Patagonia: Inferring their effects on landscape at geological time scales B. Morales et al. 10.1016/j.geomorph.2023.108731
- Anthropogenic impacts on Holocene fluvial dynamics in the Chinese Loess Plateau, an evaluation based on landscape evolution modeling H. Chen et al. 10.1016/j.geomorph.2021.107935
- Slope Gradient Controls Soil Thickness and Chemical Weathering in Subtropical Brazil: Understanding Rates and Timescales of Regional Soilscape Evolution Through a Combination of Field Data and Modeling L. Brosens et al. 10.1029/2019JF005321
- Effects of seasonal variations in vegetation and precipitation on catchment erosion rates along a climate and ecological gradient: insights from numerical modeling H. Sharma & T. Ehlers 10.5194/esurf-11-1161-2023
- On the main components of landscape evolution modelling of river systems M. Nones 10.1007/s11600-020-00401-8
- Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution K. Barnhart et al. 10.5194/gmd-12-1267-2019
- The Influence of Sediment Transport on Stationary and Mobile Knickpoints in River Profiles S. Hergarten 10.1029/2021JF006218
- CHONK 1.0: landscape evolution framework: cellular automata meets graph theory B. Gailleton et al. 10.5194/gmd-17-71-2024
- The impacts of climate change, early agriculture and internal fluvial dynamics on paleo-flooding episodes in Central China H. Chen et al. 10.1016/j.scitotenv.2024.176431
- Sediment flux‐driven channel geometry adjustment of bedrock and mixed gravel–bedrock rivers E. Baynes et al. 10.1002/esp.4996
- Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada S. Pawley et al. 10.1371/journal.pone.0296881
- Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation K. Barnhart et al. 10.1029/2018JF004963
- r.sim.terrain 1.0: a landscape evolution model with dynamic hydrology B. Harmon et al. 10.5194/gmd-12-2837-2019
- Boulders as a lithologic control on river and landscape response to tectonic forcing at the Mendocino triple junction C. Shobe et al. 10.1130/B35385.1
- A New Efficient Method to Solve the Stream Power Law Model Taking Into Account Sediment Deposition X. Yuan et al. 10.1029/2018JF004867
- Large‐Scale Tectonic Forcing of the African Landscape C. O’Malley et al. 10.1029/2021JF006345
- Topographic controls on divide migration, stream capture, and diversification in riverine life N. Lyons et al. 10.5194/esurf-8-893-2020
Latest update: 14 Dec 2024
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.
Rivers control the movement of sediment and nutrients across Earth's surface. Understanding how...
