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Safer winter driving with snowflake imaging

Camera system captures critical data about falling snowflakes which can help improve weather radars and snowfall prediction accuracy

A high-speed, three-camera system reveals formation of an ice pellet.

A high-speed, three-camera system reveals formation of an ice pellet.
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October 4, 2017

Falling snow makes winter driving a challenge. Transportation planners, road crews and emergency managers can now estimate real-time accumulations with active imaging from multi-angle snowflake cameras (MASC). NSF-funded research led to development of MASC, which images snowflakes down to the diameter of a human hair and simultaneously measures how fast they fall. These data have been critical for verifying snowfall predictions and winter precipitation algorithms for weather radars.

NSF Directorate(s):
Directorate for Geosciences


Related Awards
#1127692 Collaborative Research: The Wasatch Hydrometeor Aggregation and Riming Experiment
#1417234 STTR Phase I: Development of a Freefall Precipitation Camera for Weather Monitoring Systems
#1531930 Collaborative Research: Impact of Snowfall Processes on Potential Vorticity Generation in High-Latitude Snow Events

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