Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2423-2022
https://doi.org/10.5194/gmd-15-2423-2022
Model description paper
 | 
21 Mar 2022
Model description paper |  | 21 Mar 2022

Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows

Christopher J. L. D'Amboise, Michael Neuhauser, Michaela Teich, Andreas Huber, Andreas Kofler, Frank Perzl, Reinhard Fromm, Karl Kleemayr, and Jan-Thomas Fischer

Related authors

ISeeSnow v1.0 – a pilot study for snow avalanche model intercomparison of thickness-integrated shallow flow approaches and beyond
Anna Wirbel, Felix Oesterle, Guillaume Chambon, Thierry Faug, Johan Gaume, Julia Glaus, Stefan Hergarten, Dieter Issler, Yoichi Ito, Marco Martini, Martin Mergili, Matthias Rauter, Jörg Robl, Giorgio Rosatti, Kae Tsunematsu, Christian Tollinger, Hervé Vicari, Daniel Zugliani, and Jan-Thomas Fischer
EGUsphere, https://doi.org/10.5194/egusphere-2025-6053,https://doi.org/10.5194/egusphere-2025-6053, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Machine learning for automated avalanche terrain exposure scale (ATES) classification
Kalin Markov, Andreas Huber, Momchil Panayotov, Christoph Hesselbach, Paula Spannring, Jan-Thomas Fischer, and Michaela Teich
Nat. Hazards Earth Syst. Sci., 25, 4375–4403, https://doi.org/10.5194/nhess-25-4375-2025,https://doi.org/10.5194/nhess-25-4375-2025, 2025
Short summary
Particle and front tracking in experimental and computational avalanche dynamics
Michael Neuhauser, Anselm Köhler, Anna Wirbel, Felix Oesterle, Wolfgang Fellin, Johannes Gerstmayr, Falko Dressler, and Jan-Thomas Fischer
Nat. Hazards Earth Syst. Sci., 25, 4185–4202, https://doi.org/10.5194/nhess-25-4185-2025,https://doi.org/10.5194/nhess-25-4185-2025, 2025
Short summary
Morphological and topographic profile analysis of shallow landslides inside and outside of forests with a semi-automatic mapping approach and bi-temporal airborne laser scanning data
Lotte de Vugt, Thomas Zieher, Barbara Schneider-Muntau, Frank Perzl, Marc Adams, and Martin Rutzinger
EGUsphere, https://doi.org/10.5194/egusphere-2025-2647,https://doi.org/10.5194/egusphere-2025-2647, 2025
Short summary
AvaFrame com1DFA (v1.3): a thickness-integrated computational avalanche module – theory, numerics, and testing
Matthias Tonnel, Anna Wirbel, Felix Oesterle, and Jan-Thomas Fischer
Geosci. Model Dev., 16, 7013–7035, https://doi.org/10.5194/gmd-16-7013-2023,https://doi.org/10.5194/gmd-16-7013-2023, 2023
Short summary

Cited articles

Ancey, C., Meunier, M., and Richard, D.: Inverse problem in avalanche dynamics models, Water Resour. Res., 39, 1099, https://doi.org/10.1029/2002WR001749, 2003. a
Bakkehøi, S., Domaas, U., and Lied, K.: Calculation of snow avalanche runout distance, Ann. Glaciol., 4, 24–29, 1983. a, b
Barbolini, M., Gruber, U., Keylock, C. J., Naaim, M., and Savi, F.: Application of statistical and hydraulic-continuum dense-snow avalanche models to five real European sites, Cold Reg. Sci. Technol., 31, 133–149, 2000. a
Barbolini, M., Pagliardi, M., Ferro, F., and Corradeghini, P.: Avalanche hazard mapping over large undocumented areas, Nat. Hazards, 56, 451–464, 2011. a, b, c
Brenning, A.: Spatial prediction models for landslide hazards: review, comparison and evaluation, Nat. Hazards Earth Sys., 5, 853–862, 2005. a
Download
Short summary
The term gravitational mass flow (GMF) covers various natural hazard processes such as snow avalanches, rockfall, landslides, and debris flows. Here we present the open-source GMF simulation tool Flow-Py. The model equations are based on simple geometrical relations in three-dimensional terrain. We show that Flow-Py is an educational, innovative GMF simulation tool with three computational experiments: 1. validation of implementation, 2. performance, and 3. expandability.
Share