Tim Garrett has devoted his scientific career to characterizing snowflakes, the protean particles of ice that form in clouds and dramatically change as they fall to Earth.
Now the University of Utah atmospheric scientist is unlocking the mystery of how snowflakes move in response to air turbulence that accompanies snowfall using novel instrumentation developed on campus. And after analyzing more than half a million snowflakes, what his team has discovered has left him astonished.
Rather than something incomprehensibly complicated, predicting how snowflakes move proved to be surprisingly simple, they found.
“How snowflakes fall has attracted a lot of interest for many decades because it is a critical parameter for predicting weather and climate change,” Garrett said. “This is related to the speed of the water cycle. How fast moisture falls out of the sky determines the lifetime of storms.”
“Letters sent from Heaven”
The famed Japanese physicist Ukichiro Nakaya termed snow crystals “letters sent from heaven” because their delicate structures carry information about temperature and humidity fluctuations in the clouds where crystal basal and prism facets competed for water vapor deposition.
While every snowflake is believed to be unique, how these frosty particles fall through the air—as they accelerate, drift and swirl—follows patterns, according to new research by Garrett and colleagues in the Price College of Engineering. Snowflake movement has important implications for weather forecasting and climate change, even in the tropics.
“Most precipitation starts as snow. How the question of how fast it falls affects predictions of where on the ground precipitation lands, and how long clouds last to reflect radiation to outer space,” Garrett said. “It can even affect forecasts of a hurricane trajectory.”
Also involved with the research are Dhiraj Singh and Eric Pardyjak of the U’s Department of Mechanical Engineering.
To study snowflake movement, the team needed a way to measure individual snowflakes, which has been a challenging puzzle for years.
“They have very low masses. They may only weigh 10 micrograms, a hundredth of a milligram, so they cannot be weighed with very high precision,” Garrett said.
Working with engineering faculty, Garrett developed an instrumentation called the Differential Emissivity Imaging Disdrometer, or DEID, which measures snowflakes’ hydrometeor mass, size and density. This device has since been commercialized by a company Garrett co-founded called Particle Flux Analytics. The Utah Department of Transportation has deployed the equipment in Little Cottonwood Canyon to help with avalanche forecasting, he said.
For Garrett’s field experiments, his team set it up at Alta, the snowiest place in Utah for the winter of 2020-21. The instrumentation was deployed alongside measurements of air temperature, relative humidity and turbulence, and placed directly beneath a particle tracking system consisting of a laser light sheet and a single-lens reflex camera.
“By measuring the turbulence, the mass, density and size of the snowflakes and watching how they meander in the turbulence,” Garrett said, “we are able to create a comprehensive picture that hadn’t been able to be obtained before in a natural environment before.”
Continue reading Brian Maffly’s“The Science of Snowflakes” on @theU.