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Fall snow levels can predict total snowpack in some western states, UW study finds

A recent study published in Geophysical Research Letters by UW researchers, including SEFS Associate Professor Laura Prugh, examines the relationship between early-season snow and total snowfall in the western U.S. Using data from a network of snow sensors, the researchers looked at air temperature and accumulated precipitation from 2001 to 2022 for over 800 sites. 

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SEFS and U.S. Forest Service researchers develop wildfire modeling tool for the Pacific Northwest and beyond

SEFS research scientist Susan Prichard, alongside colleagues from the U.S. Forest Service’s Pacific Northwest Research Station — Paul Hessburg, Nicholas Povak and Brion Salter — and consulting fire ecologist Robert Gray, have developed a tool for modeling wildfires that could help managers and policymakers better understand long-term consequences of different fire management practices and policies. 

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As wildfire activity increases in forests, SEFS-led research helps predict wildfire severity based on fire size

When wildfires cross a landscape, the severity of the burn isn’t uniform over the area impacted. Areas where most or all trees are killed by fire are considered “high severity burns.” The shape and size of high severity burned patches within fires play an important role in forest resilience and fire regimes, and have been difficult to predict. 

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