Advanced 3D numerical models can simulate alpine mass movements at the slope scale, but their use in natural hazard mapping remains challenging. We present a tool that converts 3D simulation results into 2D maps, making them more accessible and useful for hazard assessment and mitigation. Applied to an ice avalanche simulated with the Material Point Method, it reveals key features such as slope-normal velocities and flow detachment from terrain, which are often overlooked in simpler models.

Modeling waves from rotational cliff collapse (e.g., Lake Furnas). Amplitude is 90 % controlled by cliff height and the number of fragments. Viscous effects are negligible; the splash shape depends on water depth – new predictive model for hazard assessment.

This study investigates how snow settles under its own weight. Using three-dimensional simulations of real snow microstructures and more than 178 past experiments, we show that settlement follows a power law depending on stress and density. This unifies previously conflicting approaches, reconciles contradictory results, and provides a solid basis for improving the representation of snowpack.

This study assesses RAMMS::EXTENDED's predictive power in estimating avalanche runout distances critical for mountain road safety. Leveraging meteorological data and sensitivity analyses, it offers meaningful predictions, aiding near real-time hazard assessments and future model refinement for improved decision-making.

Our study investigates the initiation of snow slab avalanches. Combining experimental data with numerical simulations, we show that on gentle slopes, cracks form and propagate due to compressive fractures within a weak layer. On steeper slopes, crack velocity can increase dramatically after approximately 5 m due to a fracture mode transition from compression to shear. Understanding these dynamics provides a crucial missing piece in the puzzle of dry-snow slab avalanche formation.