Articles | Volume 11, issue 7
Geosci. Model Dev., 11, 2923–2939, 2018
Geosci. Model Dev., 11, 2923–2939, 2018

Model description paper 23 Jul 2018

Model description paper | 23 Jul 2018

faSavageHutterFOAM 1.0: depth-integrated simulation of dense snow avalanches on natural terrain with OpenFOAM

Matthias Rauter et al.

Related authors

Snow avalanche friction relation based on extended kinetic theory
Matthias Rauter, Jan-Thomas Fischer, Wolfgang Fellin, and Andreas Kofler
Nat. Hazards Earth Syst. Sci., 16, 2325–2345,,, 2016
Short summary

Related subject area

Numerical Methods
An N-dimensional Fortran interpolation programme (NterGeo.v2020a) for geophysics sciences – application to a back-trajectory programme (Backplumes.v2020r1) using CHIMERE or WRF outputs
Bertrand Bessagnet, Laurent Menut, and Maxime Beauchamp
Geosci. Model Dev., 14, 91–106,,, 2021
Short summary
A framework to evaluate IMEX schemes for atmospheric models
Oksana Guba, Mark A. Taylor, Andrew M. Bradley, Peter A. Bosler, and Andrew Steyer
Geosci. Model Dev., 13, 6467–6480,,, 2020
Inequality-constrained free-surface evolution in a full Stokes ice flow model (evolve_glacier v1.1)
Anna Wirbel and Alexander Helmut Jarosch
Geosci. Model Dev., 13, 6425–6445,,, 2020
Short summary
A fast and efficient MATLAB-based MPM solver: fMPMM-solver v1.1
Emmanuel Wyser, Yury Alkhimenkov, Michel Jaboyedoff, and Yury Y. Podladchikov
Geosci. Model Dev., 13, 6265–6284,,, 2020
Short summary
Necessary conditions for algorithmic tuning of weather prediction models using OpenIFS as an example
Lauri Tuppi, Pirkka Ollinaho, Madeleine Ekblom, Vladimir Shemyakin, and Heikki Järvinen
Geosci. Model Dev., 13, 5799–5812,,, 2020
Short summary

Cited articles

Ahrens, J., Geveci, B., Law, C., Hansen, C., and Johnson, C.: ParaView: An End-User Tool for Large Data Visualization, in: The Visualization Handbook, Elsevier, 717–731, 2005. a
Ancey, C.: Plasticity and geophysical flows: a review, J. Non-Newton. Fluid, 142, 4–35,, 2007. a
Ayachit, U.: The ParaView Guide: A Parallel Visualization Application, Kitware, Inc., 2015. a
Baker, J. L., Barker, T., and Gray, J. M. N. T.: A two-dimensional depth-averaged μ(I)-rheology for dense granular avalanches, J. Fluid Mech., 787, 367–395,, 2016. a, b
Barker, T. and Gray, J.: Partial regularisation of the incompressible μ(I)-rheology for granular flow, J. Fluid Mech., 828, 5–32,, 2017. a
Short summary
We present a physical model for the simulation of dense snow avalanches and other gravitational mass flows. The model is solved with OpenFOAM, a popular open-source toolkit for the numerical solution of partial differential equations. The solver has a modular design and is easy to extend. Therefore, it represents an ideal platform for implementing and testing new model approaches.