
Attributing snow drought to climate change
Spring 2026 was one of the lowest-snow years on record in the Western United States. How much of this was due to anthropogenic climate change?
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We study climate science, the cryosphere, and hydrology.
Our group works on nonstationarity in snow and water systems, both the problems it causes and the potential solutions. Specific topics include the atmospheric drivers of snow droughts, post-fire hydrology, and machine learning for snow observation.
We are based in the Department of Earth Sciences at Montana State University and are friends of the Central Sierra Snow Laboratory.
We study how snow and water systems are changing, the problems that change causes, and the potential solutions, in particular how nonstationarity affects environmental observations and our ability to understand change.

Spring 2026 was one of the lowest-snow years on record in the Western United States. How much of this was due to anthropogenic climate change?
Read the paper
Observations across the 2021 Caldor Fire burn scar show how vegetation loss and topography control where snow accumulates and how fast it melts after a megafire.
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Warming will erode the ability of today's snow stations to represent the western United States snowpack. Pairing stations with machine learning keeps snow estimates reliable through the end of the century.
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In climate simulations spanning 1850 to 2100, snow droughts become more frequent and more severe, increasingly driven by warm temperatures rather than dry winters.
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The Central Sierra Snow Laboratory has measured Sierra Nevada snow since 1946. New instrumentation, including a sky-to-stream measurement system, readies it for its next chapter.
Read the paperI study climate science and the cryosphere. Most of my work deals with nonstationarity in snow and water systems, both the problems this causes and the potential solutions. Specific topics include the atmospheric drivers of snow droughts, post-fire hydrology, and machine learning applications in snow pattern repeatability shift. I am generally interested in how nonstationarity impacts environmental observations and in particular our ability to understand change.
I grew up in Ann Arbor, Michigan. I earned undergraduate and masters degrees at Stanford University as part of the Bob & Norma Street Environmental Fluid Mechanics Laboratory, where I worked on oscillatory wave-current boundary layers. I earned my PhD from the UC Berkeley Department of Environmental Science, Policy, and Management, where I was a DOE Computational Sciences Graduate Fellow. I am an affiliate at the Central Sierra Snow Laboratory. I enjoy running, soccer, the outdoors, and word games.
I am not currently recruiting graduate students to join the group. Postdocs interested in developing funding applications together, please email me with your CV and a one-page description of your research interests, your goals, and how your background relates to work done in the lab. Current MSU undergraduates interested in research for credit or pay are welcome to email me or come to office hours.
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