OpenSnow's New PEAKS A.I. Model Makes 42% More Accurate Forecasts - SnowBrains

"Like a meteorologist, PEAKS uses information from prior storms and forecasting models to build predictions. Where the advantage lies is in time. PEAKS can forecast every location on Earth within seconds, allowing skiers and riders to get constant feedback and storm updates. Another advantage is PEAKS ability to read weather models. Most weather models predict conditions in large boxes, often 15 to 25 miles wide, and every location within this area gets the same forecast."

"These forecasts don't take into account elevation changes, which drastically impacts predicted precipitation. Oftentimes the snow we see in town does not accurately represent the total at higher elevation points on the mountain. PEAKS' new model is a higher resolution leading to higher accuracy forecasting. "PEAKS transforms normal weather models into higher-resolution models, delivering sharper, more location-specific forecasts," according to a news release from OpenSnow quoting CEO Joel Gratz."

OpenSnow announced PEAKS as its lead forecaster for most global locations this winter. PEAKS uses information from prior storms and existing forecasting models to build predictions and can produce forecasts for every location on Earth within seconds, supplying constant feedback and storm updates. Traditional weather models forecast over large 15-to-25 mile boxes and often ignore elevation, causing inaccuracies for mountain totals. PEAKS applies higher-resolution modeling to account for elevation and produce more location-specific forecasts. Resorts like Big Sky are also adopting A.I. forecasting for seasonal and custom predictions, improving planning despite mountain weather volatility.

Read at SnowBrains