Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 23
Articles | Volume 16, issue 23
https://doi.org/10.5194/gmd-16-7013-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-7013-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 23
Model description paper
 | 
30 Nov 2023
Model description paper |  | 30 Nov 2023

AvaFrame com1DFA (v1.3): a thickness-integrated computational avalanche module – theory, numerics, and testing

Matthias Tonnel, Anna Wirbel, Felix Oesterle, and Jan-Thomas Fischer

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Cited articles

Ata, R. and Soulaïmani, A.: A stabilized SPH method for inviscid shallow water flows, Int. J. Numer. Meth. Fl., 47, 139–159, https://doi.org/10.1002/fld.801, 2005. 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, https://doi.org/10.1017/jfm.2015.684, 2016. a
Ben Moussa, B. and Vila, J. P.: Convergence of SPH method for scalar nonlinear conservation laws, SIAM J. Numer. Anal., 37, 863–887, https://doi.org/10.1137/S0036142996307119, 2000. a, b
Christen, M., Kowalski, J., and Bartelt, P.: RAMMS: Numerical simulation of dense snow avalanches in three-dimensional terrain, Cold Reg. Sci. Technol., 63, 1–14, https://doi.org/10.1016/j.coldregions.2010.04.005, 2010. a, b, c
Faccanoni, G. and Mangeney, A.: Exact solution for granular flows, Int. J. Numer. Anal. Met., 37, 1408–1433, https://doi.org/10.1002/nag.2124, 2013. a, b
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Avaframe - the open avalanche framework - provides open-source tools to simulate and investigate snow avalanches. It is utilized for multiple purposes, the two main applications being hazard mapping and scientific research of snow processes. We present the theory, conversion to a computer model, and testing for one of the core modules used for simulations of a particular type of avalanche, the so-called dense-flow avalanches. Tests check and confirm the applicability of the utilized method.
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