- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
OpenFOAM-avalanche 2312: Depth-integrated Models Beyond Dense Flow Avalanches ; day:13 ; month:02 ; year:2024 ; pages:1-39 ; extent:39
EGUsphere ; (13.02.2024), 1-39 (gesamt 39)
- Creator
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Rauter, Matthias
Kowalski, Julia
- DOI
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10.5194/egusphere-2024-210
- URN
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urn:nbn:de:101:1-2024021503191658654070
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rauter, Matthias
- Kowalski, Julia
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Topographic uncertainty quantification for flow-like landslide models via stochastic simulations
Elements of future snowpack modeling – part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes
A unified Bayesian model selection workflow for geophysical free-surface flow
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Bayesian active learning for parameter calibration of landslide run-out models
Elements of future snowpack modeling – Part 1: A physical instability arising from the nonlinear coupling of transport and phase changes
Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes
Development of electromagnetic induction measurement and inversion methods for soil electrical conductivity investigations
OpenFOAM-avalanche 2312: depth-integrated models beyond dense-flow avalanches
From Dense Flows to Powder Cloud Simulations: The OpenFOAM Avalanche Module
Probabilistic prediction of rock avalanche runout using a numerical model
Probabilistic prediction of rock avalanche runout using a numerical model
Topographic uncertainty quantification for flow-like landslide models via stochastic simulations
Elements of future snowpack modeling – part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes
A unified Bayesian model selection workflow for geophysical free-surface flow
Bayesian active learning for parameter calibration of landslide run-out models
Bayesian active learning for parameter calibration of landslide run-out models
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Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes