Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1413-2022
© Author(s) 2022. 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-15-1413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
17 Feb 2022
Model description paper | Highlight paper |
| 17 Feb 2022
| 17 Feb 2022
CSDMS: a community platform for numerical modeling of Earth surface processes
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO, USA
Eric W. H. Hutton
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Mark D. Piper
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Benjamin Campforts
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Tian Gan
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Katherine R. Barnhart
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO, USA
current address: Geologic Hazards Science Center, U.S. Geological Survey, Golden, CO, USA
Albert J. Kettner
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Irina Overeem
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO, USA
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Scott D. Peckham
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Lynn McCready
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
Jaia Syvitski
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO, USA
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- Advancing the understanding of coastal disturbances with a network‐of‐networks approach A. Myers‐Pigg et al. 10.1002/ecs2.70156
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- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
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- Early Cretaceous evolution of the McMurray Formation: A review toward a better understanding of the paleo-depositional system Y. Peng et al. 10.1016/j.earscirev.2024.104740
- Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward A. Samaras 10.1016/j.scitotenv.2023.163625
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- Earth’s sediment cycle during the Anthropocene J. Syvitski et al. 10.1038/s43017-021-00253-w
- Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Sharma et al. 10.1029/2021EA002114
16 citations as recorded by crossref.
- Iterative integration of deep learning in hybrid Earth surface system modelling M. Chen et al. 10.1038/s43017-023-00452-7
- The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. 10.5194/gmd-15-5371-2022
- Interoperability for ecosystem service assessments: Why, how, who, and for whom? K. Bagstad et al. 10.1016/j.ecoser.2025.101705
- Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management? V. Sridharan et al. 10.3390/w14131985
- A new academic impact metric for evaluating geographic simulation models K. Xu et al. 10.1080/17538947.2022.2138589
- Advancing the understanding of coastal disturbances with a network‐of‐networks approach A. Myers‐Pigg et al. 10.1002/ecs2.70156
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- Academic influence index evaluation report of geographic simulation models (2022) K. Xu et al. 10.1016/j.envsoft.2024.105970
- The portal of OpenGMS: Bridging the contributors and users of geographic simulation resources K. Xu et al. 10.1016/j.envsoft.2024.106142
- A breakthrough in fast flood simulation B. van den Bout et al. 10.1016/j.envsoft.2023.105787
- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
- Expanding the Spatial Reach and Human Impacts of Critical Zone Science K. Singha et al. 10.1029/2023EF003971
- Early Cretaceous evolution of the McMurray Formation: A review toward a better understanding of the paleo-depositional system Y. Peng et al. 10.1016/j.earscirev.2024.104740
- Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward A. Samaras 10.1016/j.scitotenv.2023.163625
- 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
- The Babelizer: language interoperability for model coupling in the geosciences E. Hutton et al. 10.21105/joss.03344
3 citations as recorded by crossref.
- The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics B. Campforts et al. 10.1029/2022JF006745
- Earth’s sediment cycle during the Anthropocene J. Syvitski et al. 10.1038/s43017-021-00253-w
- Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Sharma et al. 10.1029/2021EA002114
Latest update: 29 May 2025
Short summary
Scientists use computer simulation models to understand how Earth surface processes work, including floods, landslides, soil erosion, river channel migration, ocean sedimentation, and coastal change. Research benefits when the software for simulation modeling is open, shared, and coordinated. The Community Surface Dynamics Modeling System (CSDMS) is a US-based facility that supports research by providing community support, computing tools and guidelines, and educational resources.
Scientists use computer simulation models to understand how Earth surface processes work,...
