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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Publications at this Location » Publication #418996

Research Project: Improving Resiliency of Semi-Arid Agroecosystems and Watersheds to Change and Disturbance through Data-Driven Research, AI, and Integrated Models

Location: Water Management and Systems Research

Title: Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States

Author
item BROOKS, PAUL - University Of Utah
item SOLOMON, D - University Of Utah
item KAMPF, STEPHANIE - Colorado State University
item WARIX, SARA - University Of Utah
item BERN, CARLETON - Us Geological Survey (USGS)
item Barnard, David
item BARNARD, HOLLY - University Of Colorado
item CARLING, GREGORY - Brigham Young University
item CARROLL, ROSEMARY - Desert Research Institute
item CHOROVER, JON - University Of Arizona
item HARPOLD, ADRIAN - University Of Nevada
item LOHSE, KATHLEEN - Idaho State University
item MEZA, FABIOLA - University Of Arizona
item MCINTOSH, JENNIFER - University Of Arizona
item NEILSON, BETHANY - Utah State University
item SEARS, MEGAN - Colorad0 State University
item WOLF, MARGARET - University Of Idaho

Submitted to: Communications Earth & Environment
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 4/16/2025
Publication Date: 5/3/2025
Citation: Brooks, P.D., Solomon, D.K., Kampf, S., Warix, S., Bern, C., Barnard, D.M., Barnard, H.R., Carling, G.T., Carroll, R.W., Chorover, J., Harpold, A., Lohse, K., Meza, F., McIntosh, J., Neilson, B., Sears, M., Wolf, M. 2025. Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States. Communications Earth & Environment. 6. Article e341. https://doi.org/10.1038/s43247-025-02303-3.
DOI: https://doi.org/10.1038/s43247-025-02303-3

Interpretive Summary: Climate change is making it harder to predict how much water will flow into rivers from melting snow. This is because temperatures are rising, snowfall is becoming more unpredictable, snow is melting earlier, and people are using more water. These changes, along with more wildfires, insect outbreaks, and droughts, are making it difficult for scientists and water managers to accurately predict how much water will flow from snow-covered mountains. A big reason for this is that we've been assuming that snowmelt water flows quickly into rivers. But this study shows that most of the water flowing from melting snow is actually old groundwater. This means that the streamflow behavior is influenced by past climate conditions and snowfall from previous years, not just the current weather. To improve our predictions, we need to include the impact of this old groundwater in studies. This will help us manage our water resources more effectively.

Technical Abstract: Warming temperatures, increasing variability in the amount and form of precipitation, earlier snowmelt, and growing demands are stressing snowmelt-derived water supplies. These direct effects of climate change, combined with increasing levels of disturbance from fire, insects, and drought have reduced the ability of operational models to accurately predict snowmelt-driven streamflow. A potential contributor to the decline in predictability is the assumption that melt water is routed quickly to streams through surface runoff. Here we use tritium age dating to show that streamflow during snowmelt instead is dominated by preexisting groundwater and that runoff efficiency is negatively related to the age of these groundwater stores. The average age of snowmelt runoff (5.5 +/- 4.5 years) from 42 catchments across the western U.S. was closer to the average age of groundwater (10.4 +/- 4.5 years) than to recent precipitation. The large variability in ages was related to geology with water from hard rock catchments being younger and more evaporated than water from clastic catchments. These results demonstrate that snowmelt runoff is the result of multiple years of climate interacting with catchment geology to control water balance. Including a groundwater mediated memory of past climate in operational models holds great promise improving streamflow prediction and efficient management of limited water resources.