A newly defined kind of heat wave is giving scientists a more precise way to describe a familiar, fast-moving threat in mountain regions: stretches of spring warmth that can tear through snowpack almost overnight.
Scientists have given these episodes a vivid name — "snow eaters" — that underscores their destructive potential.
Here's what to know
According to Grist, the first formal effort to define a "snow eater" appeared in Science Advances, with Utah State University journalist and climate scientist Matthew LaPlante helping identify the conditions that set these events apart.
What distinguishes a snow eater from an ordinary warm spell is that temperatures remain above freezing day and night for several days, usually three to five. Because the snow does not refreeze overnight, melting can intensify.
For communities that rely on mountain snowpack, these events pose a serious challenge. The study found snow eaters can melt snow at about twice the usual pace, raising flood risks and complicating water management.
At his home in the mountains above Salt Lake City, LaPlante has watched warm nights shave inches off the snowpack by morning, exposing more of the aspens he taps for syrup.
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"It feels like a monster came and just in the middle of the night, took a bite out of a snowpack," he said.
More background
Snowpack serves as a natural water bank. Across many Western mountain regions, snow gradually releases water as temperatures climb, helping sustain rivers, reservoirs, farms, and cities downstream.
Naming and defining a phenomenon can make it easier to study and monitor. A shared definition gives scientists and officials a clearer way to identify when a warm event is likely to trigger especially rapid snow loss.
That kind of precision is becoming more important as communities face more weather extremes and as mountain snow conditions grow less predictable.
What can be done?
A clearer definition could help water managers and forecasters better prepare for rapid melt events. If officials know which temperature patterns are most likely to produce a snow eater, they may be better positioned to anticipate flooding, reservoir inflows, and sudden changes in snow conditions.
The findings could also improve how scientists study spring heat waves in mountain environments. Rather than grouping all warm periods, researchers can separate the most damaging melt events from less disruptive thaws.
Conserving water and improving forecasting and watershed planning can help communities stay more resilient as snowpack behavior becomes harder to predict.
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