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Home - Utah Avalanche Center The Utah Avalanche Center is a 501 (c) (3) nonprofit organization and donations are tax-deductible to the extent allowed by law The Utah Avalanche Center is also identified as Friends of the Utah Avalanche Forecast Center, Tax ID 87-0481453
Forecast - Utah Avalanche Center Today, we have a MODERATE avalanche danger for three avalanche problems On all mid- and upper-elevation slopes, expect new snow dry-loose avalanches (sluffs) Across all upper elevations, watch for and avoid wind-drifted slopes
Forecast - Utah Avalanche Center We were still observing propagation on the now deeply buried November facets this past week, which means that any avalanche triggered today could be 2-3 feet deep We have a few days and nights of cold temperatures coming up, which will hopefully help to lock up and stabilize the snowpack
Forecast - Utah Avalanche Center The avalanche danger is LOW and human triggered avalanches are unlikely Conditions remain very thin, and rocks, stumps, and logs lurk below the surface everywhere Exercise extreme caution when getting around
Who we are - Utah Avalanche Center The Utah Avalanche Center (UAC) exists to keep people on top of The Greatest Snow On Earth® by providing avalanche forecasting, education, and awareness throughout the state of Utah The UAC was officially established in 1980 in collaboration with the US Forest Service (USFS)
Forecast - Utah Avalanche Center Things have been quiet over the last couple of weeks A storm moving through later today and Saturday may increase the avalanche danger slightly For today, the overall avalanche danger rating on the Skyline remains LOW
Forecast: Uintas Area Mountains - Utah Avalanche Center Slopes that are thin and rocky or have avalanched several times this season remain suspect and should be avoided Flipping to the solar half of the compass, south aspects, along with shady slopes near our trailheads offer LOW avalanche danger
Staff - Utah Avalanche Center At the Avalanche Center he is responsible for the development and implementation of building decision support tools for avalanche forecasters which leverage snow-cover modeling and machine learning