Articles | Volume 17, issue 5
https://doi.org/10.5194/gmd-17-2165-2024
© Author(s) 2024. 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-17-2165-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
15 Mar 2024
Development and technical paper |
| 15 Mar 2024
| 15 Mar 2024
CSDMS Data Components: data–model integration tools for Earth surface processes modeling
Tian Gan
CORRESPONDING AUTHOR
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Gregory E. Tucker
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Eric W. H. Hutton
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Mark D. Piper
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Irina Overeem
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Albert J. Kettner
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Benjamin Campforts
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Julia M. Moriarty
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Brianna Undzis
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Ethan Pierce
Department of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, USA
Lynn McCready
Institute for Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, Boulder, CO 80309, USA
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Annabeth McCall, Martin Hieronymi, P. Paul Overduin, Lisa Bröder, Julie Lattaud, Rüdiger Röttgers, Irina Overeem, Anne Morgenstern, Guido Grosse, and Bennet Juhls
Biogeosciences, 23, 5921–5942, https://doi.org/10.5194/bg-23-5921-2026, https://doi.org/10.5194/bg-23-5921-2026, 2026
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This study examines how carbon and sediments move from the Mackenzie River, through its delta, and into the Beaufort Sea. We use data from 2009–2024 and show that major changes in carbon concentrations unfold in low-salinity mixing zones. As the optical properties of the water also shift, satellite estimates of carbon will require more tailored methods. These findings will improve our understanding of Arctic carbon fluxes and influences on the greater Arctic Ocean carbon budget.
Matheus de Almeida, Charles M. Shobe, Duna C. Roda-Boluda, Loraine Gourbet, Amber Distelbrink, Sander Veraverbeke, and Benjamin Campforts
EGUsphere, https://doi.org/10.5194/egusphere-2026-3521, https://doi.org/10.5194/egusphere-2026-3521, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Fires play an important control on changing Earth surface processes across a wide range of landscapes. Understanding post-fire sediment dynamics is important to predict the Earth's surface response to fires in landscapes facing environmental changes, as changing fire regimes due to climate variations may have a large impact on soil storage. We develop FireLands, a new landscape evolution model that provides a toolbox to explore the effects of fires on sediment transport over several timescales.
Kevin S. Rozmiarek, Elijah A. Miller, Irina Overeem, Gregory B. Rieker, and Tyler R. Jones
EGUsphere, https://doi.org/10.5194/egusphere-2026-3109, https://doi.org/10.5194/egusphere-2026-3109, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Lakes emit large amounts of methane, yet measuring it remains challenging. Using simulations, we tested whether a drone circling a lake measuring methane and wind to enclose a virtual cylinder can recover its emissions. Sampling enough heights mattered most for accuracy; a nearby upwind lake biased estimates low; and short flights beat long ones as the atmosphere shifted. We distill the results into simple design rules for planning real drone-based methane surveys.
Hailey Webb, Ethan Pierce, Benjamin W. Abbott, William B. Bowden, Yaping Chen, Yating Chen, Thomas A. Douglas, Joel F. Eklof, Eugénie S. Euskirchen, Moritz Langer, Isla H. Myers-Smith, Irina Overeem, Jens Strauss, Katey Walter Anthony, Kang Wang, Matthew A. Whitley, and Merritt R. Turetsky
Earth Syst. Sci. Data, 18, 3147–3164, https://doi.org/10.5194/essd-18-3147-2026, https://doi.org/10.5194/essd-18-3147-2026, 2026
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We created a database of 19,540 thawing permafrost sites across Alaska, including both abrupt and non-abrupt thaw features and explored relationships with elevation, slope, and incoming solar radiation. We use the database to show that existing ground ice maps are too coarse to predict abrupt thaw risk. This database can enhance predictions of future thaw and guide planning and adaptation strategies.
Laurent O. Roberge, Nicole M. Gasparini, Benjamin Campforts, and Gregory E. Tucker
Geosci. Model Dev., 19, 1387–1404, https://doi.org/10.5194/gmd-19-1387-2026, https://doi.org/10.5194/gmd-19-1387-2026, 2026
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Landscape evolution models compute the movement of sediment across landscapes. However, few account for the storage, fate, and transport of sediment properties, such as lithology or geochemistry. We present new Landlab model components that track such properties. Our unit-agnostic approach allows users to define the sediment properties for a wide range of applications (for example, mass of magnetite, volume of quartz, number of zircons, number of 10Be atoms,
equivalent doseof luminescence).
Andrew J. Moodie, Eric Barefoot, Eric Hutton, Charles Nguyen, Andrew D. Wickert, and Jeffrey Marr
Earth Surf. Dynam., 14, 85–94, https://doi.org/10.5194/esurf-14-85-2026, https://doi.org/10.5194/esurf-14-85-2026, 2026
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Geomorphologists have more data and computational resources available than ever before, but lack tools to facilitate collaborations needed to integrate data from different modes of study (e.g., field, experimental, modeling). In this article, we discuss challenges to collaboration in geomorphology, and report a new schema for sharing data. The sandsuet schema is designed to accommodate most kinds of rasterized geomorphology data, and makes it easy to package, publish, and share those data.
Coline Ariagno, Philippe Steer, Pierre G. Valla, and Benjamin Campforts
Earth Surf. Dynam., 13, 1109–1132, https://doi.org/10.5194/esurf-13-1109-2025, https://doi.org/10.5194/esurf-13-1109-2025, 2025
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This study explore the impact of landslides on Alpine terrain using a landscape evolution model called
Hyland, which enables long-term topographical analysis. Our finding reveal that landslides are concentrated at two specific elevations over time and predominantly affect the highest and steepest slopes, particularly along ridges and crests. This study is part of a broader question concerning the origin of accelerated erosion during the Quaternary period.
Jeffrey Keck, Erkan Istanbulluoglu, Benjamin Campforts, Gregory Tucker, and Alexander Horner-Devine
Earth Surf. Dynam., 12, 1165–1191, https://doi.org/10.5194/esurf-12-1165-2024, https://doi.org/10.5194/esurf-12-1165-2024, 2024
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MassWastingRunout (MWR) is a new landslide runout model designed for sediment transport, landscape evolution, and hazard assessment applications. MWR is written in Python and includes a calibration utility that automatically determines best-fit parameters for a site and empirical probability density functions of each parameter for probabilistic model implementation. MWR and Jupyter Notebook tutorials are available as part of the Landlab package at https://github.com/landlab/landlab.
Daniel O'Hara, Liran Goren, Roos M. J. van Wees, Benjamin Campforts, Pablo Grosse, Pierre Lahitte, Gabor Kereszturi, and Matthieu Kervyn
Earth Surf. Dynam., 12, 709–726, https://doi.org/10.5194/esurf-12-709-2024, https://doi.org/10.5194/esurf-12-709-2024, 2024
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Understanding how volcanic edifices develop drainage basins remains unexplored in landscape evolution. Using digital evolution models of volcanoes with varying ages, we quantify the geometries of their edifices and associated drainage basins through time. We find that these metrics correlate with edifice age and are thus useful indicators of a volcano’s history. We then develop a generalized model for how volcano basins develop and compare our results to basin evolution in other settings.
Matthew C. Morriss, Benjamin Lehmann, Benjamin Campforts, George Brencher, Brianna Rick, Leif S. Anderson, Alexander L. Handwerger, Irina Overeem, and Jeffrey Moore
Earth Surf. Dynam., 11, 1251–1274, https://doi.org/10.5194/esurf-11-1251-2023, https://doi.org/10.5194/esurf-11-1251-2023, 2023
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In this paper, we investigate the 28 June 2022 collapse of the Chaos Canyon landslide in Rocky Mountain National Park, Colorado, USA. We find that the landslide was moving prior to its collapse and took place at peak spring snowmelt; temperature modeling indicates the potential presence of permafrost. We hypothesize that this landslide could be part of the broader landscape evolution changes to alpine terrain caused by a warming climate, leading to thawing alpine permafrost.
Vao Fenotiana Razanamahandry, Marjolein Dewaele, Gerard Govers, Liesa Brosens, Benjamin Campforts, Liesbet Jacobs, Tantely Razafimbelo, Tovonarivo Rafolisy, and Steven Bouillon
Biogeosciences, 19, 3825–3841, https://doi.org/10.5194/bg-19-3825-2022, https://doi.org/10.5194/bg-19-3825-2022, 2022
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In order to shed light on possible past vegetation shifts in the Central Highlands of Madagascar, we measured stable isotope ratios of organic carbon in soil profiles along both forested and grassland hillslope transects in the Lake Alaotra region. Our results show that the landscape of this region was more forested in the past: soils in the C4-dominated grasslands contained a substantial fraction of C3-derived carbon, increasing with depth.
Rolf Hut, Niels Drost, Nick van de Giesen, Ben van Werkhoven, Banafsheh Abdollahi, Jerom Aerts, Thomas Albers, Fakhereh Alidoost, Bouwe Andela, Jaro Camphuijsen, Yifat Dzigan, Ronald van Haren, Eric Hutton, Peter Kalverla, Maarten van Meersbergen, Gijs van den Oord, Inti Pelupessy, Stef Smeets, Stefan Verhoeven, Martine de Vos, and Berend Weel
Geosci. Model Dev., 15, 5371–5390, https://doi.org/10.5194/gmd-15-5371-2022, https://doi.org/10.5194/gmd-15-5371-2022, 2022
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With the eWaterCycle platform, we are providing the hydrological community with a platform to conduct their research that is fully compatible with the principles of both open science and FAIR science. The eWatercyle platform gives easy access to well-known hydrological models, big datasets and example experiments. Using eWaterCycle hydrologists can easily compare the results from different models, couple models and do more complex hydrological computational research.
Liesa Brosens, Benjamin Campforts, Gerard Govers, Emilien Aldana-Jague, Vao Fenotiana Razanamahandry, Tantely Razafimbelo, Tovonarivo Rafolisy, and Liesbet Jacobs
Earth Surf. Dynam., 10, 209–227, https://doi.org/10.5194/esurf-10-209-2022, https://doi.org/10.5194/esurf-10-209-2022, 2022
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Obtaining accurate information on the volume of geomorphic features typically requires high-resolution topographic data, which are often not available. Here, we show that the globally available 12 m TanDEM-X DEM can be used to accurately estimate gully volumes and establish an area–volume relationship after applying a correction. This allowed us to get a first estimate of the amount of sediment that has been mobilized by large gullies (lavaka) in central Madagascar over the past 70 years.
Gregory E. Tucker, Eric W. H. Hutton, Mark D. Piper, Benjamin Campforts, Tian Gan, Katherine R. Barnhart, Albert J. Kettner, Irina Overeem, Scott D. Peckham, Lynn McCready, and Jaia Syvitski
Geosci. Model Dev., 15, 1413–1439, https://doi.org/10.5194/gmd-15-1413-2022, https://doi.org/10.5194/gmd-15-1413-2022, 2022
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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.
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Short summary
This study presents the design, implementation, and application of the CSDMS Data Components. The case studies demonstrate that the Data Components provide a consistent way to access heterogeneous datasets from multiple sources, and to seamlessly integrate them with various models for Earth surface process modeling. The Data Components support the creation of open data–model integration workflows to improve the research transparency and reproducibility.
This study presents the design, implementation, and application of the CSDMS Data Components....
