SnowSignals app aims to help Tahoe skiers find the best snow
LAKE TAHOE, Calif./Nev. – A new AI-powered snow forecasting platform is coming to Lake Tahoe. SnowSignals — introduced as the world’s first terrain-aware, physics-driven snow conditions model — will soon launch with several Tahoe-based resorts, promising slope-by-slope surface forecasts built from raw mountain weather data.
SnowSignals founder Richard Hwang began developing the app after his own experiences on the mountain sparked the idea. As a skier, he wanted a reliable way to find the best snow on any given day — even when it hadn’t snowed in weeks.
“The average skier can’t always pick the days they go,” Hwang said. “But you still want to make the most out of your day on the mountain.”

SnowSignals uses a physics-driven snow metamorphosis engine combined with terrain-aware 3D weather fusion to model how snow actually behaves on the mountain. Its system runs on a sub-10-meter spatial grid with 15-minute timesteps, capturing how sun, wind, elevation, and slope aspect shape surface conditions across ridges, bowls, and faces.
The platform provides a seven-day rolling forecast for the Lake Tahoe region and simulates how snow melts, freezes, compacts, and transforms over time — offering skiers a detailed look at where the best snow will be.
The app will cover Palisades Tahoe, Alpine Meadows, Heavenly, Kirkwood, and Northstar, with rollout expected mid-December, depending on resort conditions.
Developers say the model has been validated over more than five Tahoe seasons, including drought years, major storm cycles, and spring melt-freeze periods. It has been benchmarked against thousands of real-world reports ranging from resort operations updates to structured field logs. The system will also continue to be tuned through daily skier feedback and on-mountain spot checks.
SnowSignals aims to help skiers “know before you go” by revealing true surface conditions across the mountain — and help them find the best snow before it’s gone.

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