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Between rain and snow, machine learning finds nine precipitation types

The study used 1.5 million particle measurements over nine years to classify nine precipitation types, improving weather models and reducing ambiguity by 36%, researchers said.

Summary by Phys.org
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase (e.g., sleet)—using unsupervised machine learning and nearly a decade's worth of high-speed camera data. The research is published in Science Advances.

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As part of research to improve weather forecasting and the safety of winter driving, a study conducted by the University of Michigan identified nine distinct types of precipitation: rain, snow and mixed phases (e.g., scissors) – using unsupervised machine learning and nearly a decade of large camera data [...]

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Phys.org broke the news in United Kingdom on Tuesday, October 7, 2025.
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