Researchers at the University of Utah have developed a device that can produce
3-D images of individual falling snowflakes using three high-speed cameras
triggered by infrared sensors. The Multi Angle Snowflake Camera (MASC) also
measures the fall speed of the snowflakes. The images and information could be
used to better understand snowfall and create a more accurate model of winter
storms. Currently, weather simulations don't do a very good job of predicting
snowfall accurately, with University of Utah atmospheric scientist Tim Garrett
explaining to, "The reason they do so badly is because
they don't represent snowflakes very well, because they are based on
measurements of snowflakes that were done, painstakingly, by hand, in the
1970s." Speaking about what the cameras show, Garrett said, "When people say no
two snowflakes are alike, that is very true. They are dissimilar in ways that I
did not imagine prior to starting this project. The range of possibilities is

Click here to see some of the MASC Photos.