Cordonnier, GuillaumeEcormier, PierreGalin, EricGain, JamesBenes, BedrichCani, Marie-PauleGutierrez, Diego and Sheffer, Alla2018-04-142018-04-1420181467-8659https://doi.org/10.1111/cgf.13379https://diglib.eg.org:443/handle/10.1111/cgf13379We introduce a novel method for interactive generation of visually consistent, snow-covered landscapes and provide control of their dynamic evolution over time. Our main contribution is the real-time phenomenological simulation of avalanches and other user-guided events, such as tracks left by Nordic skiing, which can be applied to interactively sculpt the landscape. The terrain is modeled as a height field with additional layers for stable, compacted, unstable, and powdery snow, which behave in combination as a semi-viscous fluid. We incorporate the impact of several phenomena, including sunlight, temperature, prevailing wind direction, and skiing activities. The snow evolution includes snow-melt and snow-drift, which a ect stability of the snow mass and the probability of avalanches. A user can shape landscapes and their evolution either with a variety of interactive brushes, or by prescribing events along a winter season time-line. Our optimized GPU-implementation allows interactive updates of snow type and depth across a large (10 10km) terrain, including real-time avalanches, making this suitable for visual assets in computer games. We evaluate our method through perceptual comparison against exiting methods and real snow-depth data.Computing methodologiesShape modelingHumancentered computingInteraction techniques10.1111/cgf.13379497-509