Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2673-2022
© 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/nhess-22-2673-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The impact of terrain model source and resolution on snow avalanche modeling
National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand
Pascal Sirguey
National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand
Simon Morris
Downer NZ Ltd, Milford Road Alliance, Te Anau, New Zealand
Perry Bartelt
WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Flüelastrasse 11, 7260 Davos, Switzerland
Nicolas Cullen
School of Geography, University of Otago, Dunedin, New Zealand
Todd Redpath
School of Geography, University of Otago, Dunedin, New Zealand
National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand
Kevin Thompson
Downer NZ Ltd, Milford Road Alliance, Te Anau, New Zealand
Yves Bühler
WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Flüelastrasse 11, 7260 Davos, Switzerland
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Cited
11 citations as recorded by crossref.
- Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method Y. Zhu et al. https://doi.org/10.5194/nhess-25-2271-2025
- Landscape Changes in the Kitchener Avalanche Path, Aoraki/Mount Cook National Park After the Record‐Breaking July 2022 Storm D. Sheppard et al. https://doi.org/10.1002/jgo2.70041
- Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA J. Dillon et al. https://doi.org/10.1016/j.coldregions.2024.104412
- Numerical Simulation and Risk Assessment of Debris Flows in Suyukou Gully, Eastern Helan Mountains, China G. Wang et al. https://doi.org/10.3390/su17135984
- Combining sediment connectivity and debris-flow hazard assessment in the Roßalpen-Prielgraben catchment (Austrian Alps) H. Andlinger et al. https://doi.org/10.1080/02723646.2026.2655154
- Unprecedented Winter Rainfall Initiates Large Snow Avalanche and Mass Movement Cycle in New Zealand's Southern Alps/Kā Tiritiri o te Moana A. Miller et al. https://doi.org/10.1029/2022GL102105
- Hydraulic analysis of flash flood events using UAV based topographic data and citizen science in Enkare Narok river basin D. Gitundu et al. https://doi.org/10.1016/j.rsase.2023.100977
- Geomorphometric Analysis of the Kshetrapal Landslide in Chamoli, Uttarakhand, India Using the White Box Tool (WBT) and QGIS by Comparing various DEMs Obtained from UAV and TLS A. Anand https://doi.org/10.4236/ijg.2025.161003
- Integrating snowpack mechanical properties into snow avalanche susceptibility mapping in continental dry–cold mountain regions H. Li et al. https://doi.org/10.1080/19475705.2026.2660863
- Creating probability maps for avalanche hazardous areas reflecting snowpack uncertainty updates T. Tanabe et al. https://doi.org/10.1016/j.coldregions.2025.104716
- Sediment yield assessment of a small ungauged montane catchment in the North Caucasus A. Tsyplenkov et al. https://doi.org/10.1016/j.geomorph.2025.110156
11 citations as recorded by crossref.
- Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method Y. Zhu et al. https://doi.org/10.5194/nhess-25-2271-2025
- Landscape Changes in the Kitchener Avalanche Path, Aoraki/Mount Cook National Park After the Record‐Breaking July 2022 Storm D. Sheppard et al. https://doi.org/10.1002/jgo2.70041
- Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA J. Dillon et al. https://doi.org/10.1016/j.coldregions.2024.104412
- Numerical Simulation and Risk Assessment of Debris Flows in Suyukou Gully, Eastern Helan Mountains, China G. Wang et al. https://doi.org/10.3390/su17135984
- Combining sediment connectivity and debris-flow hazard assessment in the Roßalpen-Prielgraben catchment (Austrian Alps) H. Andlinger et al. https://doi.org/10.1080/02723646.2026.2655154
- Unprecedented Winter Rainfall Initiates Large Snow Avalanche and Mass Movement Cycle in New Zealand's Southern Alps/Kā Tiritiri o te Moana A. Miller et al. https://doi.org/10.1029/2022GL102105
- Hydraulic analysis of flash flood events using UAV based topographic data and citizen science in Enkare Narok river basin D. Gitundu et al. https://doi.org/10.1016/j.rsase.2023.100977
- Geomorphometric Analysis of the Kshetrapal Landslide in Chamoli, Uttarakhand, India Using the White Box Tool (WBT) and QGIS by Comparing various DEMs Obtained from UAV and TLS A. Anand https://doi.org/10.4236/ijg.2025.161003
- Integrating snowpack mechanical properties into snow avalanche susceptibility mapping in continental dry–cold mountain regions H. Li et al. https://doi.org/10.1080/19475705.2026.2660863
- Creating probability maps for avalanche hazardous areas reflecting snowpack uncertainty updates T. Tanabe et al. https://doi.org/10.1016/j.coldregions.2025.104716
- Sediment yield assessment of a small ungauged montane catchment in the North Caucasus A. Tsyplenkov et al. https://doi.org/10.1016/j.geomorph.2025.110156
Saved (final revised paper)
Latest update: 30 May 2026
Short summary
Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
Natural hazard modelers simulate mass movements to better anticipate the risk to people and...
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