The term “snow water equivalent” ‘SWE’ refers to how much water a particular amount of snow contains, information that’s important to scientists, engineers and land and watershed managers.
NASA is funding a four-year project that involves an Oregon State University civil engineering professor, David Hill, and Ph.D. student, Ryan Crumley, as well as researchers at the University of Washington and the Alaska Division of Geological & Geophysical Surveys.
The project is called Community Show Observations and is part of NASA’s Citizen Science for Earth Systems program.
“Our initial model runs show that the citizen science measurements are doing an excellent job of improving our simulations,” said David Hill of the OSU College of Engineering. “NASA has a lot of research satellites in the sky producing excellent information about what’s going on in the earth’s systems, and they’re leveraging that information and expertise from the public to make their product even better.”
Getting involved in Community Snow Observations is easy. A smartphone, the free Mountain Hub application, and an avalanche probe with graduated markings are the only tools a recreationist needs.
As citizen scientists make their way through the mountains, they use their avalanche probes to take snow depth readings that they then upload into Mountain Hub, a fully featured app for outdoor users.
That’s all there is to it.
“Traditionally, the types of models we run have relied on ‘point’ measurements, such as snow telemetry stations,” Hill said. “Citizen scientists who are traveling in backcountry snow environments can provide us with much more data than those stations provide.”
Community Snow Observations kicked off in February 2017. Led by Hill, Gabe Wolken of the University of Alaska-Fairbanks and Anthony Arendt of the University of Washington. The collaborative project has focused primarily on Alaskan snowpacks but now researchers are seeking citizen scientists in the Pacific Northwest as well, and if possible in the Rocky Mountain region too.
“Particular geographic areas to be modeled is up to the public,” Hill said, adding “the more data spread out over time and space the better.”
“The models take into account snow density, spatial variability in snow-water equivalent and how snow properties are always changing, even in a given location,” he said. “If we get a whole bunch of measurements on one day in one spot, that has value, but the more we can get things stretched out, the more coverage we get, the better modeling products we can produce.”
To learn how you and your family and/or friends can help in this scientific endeavor, contact:
David Hill, 541-737-4939 or by email David.Hill@oregonstate.edu