Snow Spotter is a citizen science project where volunteers around the world scan time lapse images of forested canopies in Washington, Alaska, California, Colorado and Europe for the presence of snow on tree tops. Since its launch in 2017, the project has grown to include other sites around the world and has been helping University of Washington researchers refine models for predicting how much annual water a region gets from melting snowpack. The data also reveals the role densely packed forests play in snow capture and release, and how forestry management practices in response to climate change may impact the amount of snowmelt that ends up recharging reservoirs and aquifers. Joining us now is Cassie Lumbrazo, a doctoral student at the University of Washington’s Department of Civil and Environmental Engineering, who recently published a paper using data from Snow Spotter in the journal Water Resources Research.