Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-1151-2024
© 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/essd-16-1151-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Mar 2024
Data description paper |
| 01 Mar 2024
| 01 Mar 2024
A global dataset of the shape of drainage systems
German Research Centre for Geosciences, Potsdam, Germany
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, USA
School of Earth Sciences, China University of Geosciences, Wuhan, China
Ci-Jian Yang
Department of Geography, National Taiwan University, Taipei, Taiwan
Jens M. Turowski
German Research Centre for Geosciences, Potsdam, Germany
Richard F. Ott
German Research Centre for Geosciences, Potsdam, Germany
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, the Netherlands
Jean Braun
German Research Centre for Geosciences, Potsdam, Germany
Hui Tang
German Research Centre for Geosciences, Potsdam, Germany
Shadi Ghantous
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Xiaoping Yuan
School of Earth Sciences, China University of Geosciences, Wuhan, China
Gaia Stucky de Quay
Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, USA
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This research presents a unique 64-year (1961–2024) debris-flow dataset for Jiangjia Ravine, Dongchuan, Yunnan, China. The dataset includes detailed measurements of debris-flow kinematic parameters (velocity, depth, and discharge), physical–mechanical properties (particle size, yield stress, and viscosity), seismic data, and hydrometeorological records (e.g., minute-by-minute rainfall and soil moisture). The dataset is publicly accessible via the National Cryosphere Desert Data Center (NCDC).
Fergus McNab, Taylor F. Schildgen, Jens M. Turowski, and Andrew D. Wickert
Earth Surf. Dynam., 13, 1059–1092, https://doi.org/10.5194/esurf-13-1059-2025, https://doi.org/10.5194/esurf-13-1059-2025, 2025
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Amanda Lily Wild, Jean Braun, Alexander C. Whittaker, and Sebastien Castelltort
Earth Surf. Dynam., 13, 875–887, https://doi.org/10.5194/esurf-13-875-2025, https://doi.org/10.5194/esurf-13-875-2025, 2025
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Earth Surf. Dynam., 13, 889–905, https://doi.org/10.5194/esurf-13-889-2025, https://doi.org/10.5194/esurf-13-889-2025, 2025
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Sediments deposited within river channels form the stratigraphic record, which has been used to interpret tectonic events, basin subsidence, and changes in precipitation long after ancient mountain chains have eroded away. Our work combines methods for estimating gravel fining with a Landscape Evolution Model in order to analyze the grain size preserved within the stratigraphic record with greater complexity (e.g. considering topography and channel dynamics) than past approaches.
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Claire C. Masteller, Joel P. L. Johnson, Dieter Rickenmann, and Jens M. Turowski
Earth Surf. Dynam., 13, 593–605, https://doi.org/10.5194/esurf-13-593-2025, https://doi.org/10.5194/esurf-13-593-2025, 2025
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Caroline Fenske, Jean Braun, François Guillocheau, and Cécile Robin
Earth Surf. Dynam., 13, 119–146, https://doi.org/10.5194/esurf-13-119-2025, https://doi.org/10.5194/esurf-13-119-2025, 2025
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Jens M. Turowski, Fergus McNab, Aaron Bufe, and Stefanie Tofelde
Earth Surf. Dynam., 13, 97–117, https://doi.org/10.5194/esurf-13-97-2025, https://doi.org/10.5194/esurf-13-97-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2977, https://doi.org/10.5194/egusphere-2024-2977, 2024
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Sophia Dosch, Niels Hovius, Marisa Repasch, Joel Scheingross, Jens M. Turowski, Stefanie Tofelde, Oliver Rach, and Dirk Sachse
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Ci-Jian Yang, Pei-Hao Chen, Erica D. Erlanger, Jens M. Turowski, Sen Xu, Tse-Yang Teng, Jiun-Chuan Lin, and Jr-Chuang Huang
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Ngai-Ham Chan, Moritz Langer, Bennet Juhls, Tabea Rettelbach, Paul Overduin, Kimberly Huppert, and Jean Braun
Earth Surf. Dynam., 11, 259–285, https://doi.org/10.5194/esurf-11-259-2023, https://doi.org/10.5194/esurf-11-259-2023, 2023
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Arctic river deltas influence how nutrients and soil organic carbon, carried by sediments from the Arctic landscape, are retained or released into the Arctic Ocean. Under climate change, the deltas themselves and their ecosystems are becoming more vulnerable. We build upon previous models to reproduce for the first time an important feature ubiquitous to Arctic deltas and simulate its future under climate warming. This can impact the future of Arctic deltas and the carbon release they moderate.
Jean Braun
Earth Surf. Dynam., 10, 301–327, https://doi.org/10.5194/esurf-10-301-2022, https://doi.org/10.5194/esurf-10-301-2022, 2022
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By comparing two models for the transport of sediment, we find that they share a similar steady-state solution that adequately predicts the shape of most depositional systems made of a fan and an alluvial plain. The length of the fan is controlled by the size of the mountain drainage area feeding the sedimentary system and its slope by the incoming sedimentary flux. We show that the models differ in their transient behavior to external forcing and are characterized by different response times.
Odin Marc, Jens M. Turowski, and Patrick Meunier
Earth Surf. Dynam., 9, 995–1011, https://doi.org/10.5194/esurf-9-995-2021, https://doi.org/10.5194/esurf-9-995-2021, 2021
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The size of grains delivered to rivers is an essential parameter for understanding erosion and sediment transport and their related hazards. In mountains, landslides deliver these rock fragments, but few studies have analyzed the landslide properties that control the resulting sizes. We present measurements on 17 landslides from Taiwan and show that their grain sizes depend on rock strength, landslide depth and drop height, thereby validating and updating a previous theory on fragmentation.
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Short summary
The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
The shape of drainage basins and rivers holds significant implications for landscape evolution...
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