This $398,525 National Science Foundation (NSF) Geosciences (CFDA 47.050) program grant awarded to the University of Wisconsin System will develop a data-driven approach to understand how evaporation and transpiration respond to changes in hydrometeorology across the United States.
The key products and services to be delivered under this 2-year project include: 1) using water flux measurements and new techniques to estimate the components of evapotranspiration (transpiration, soil evaporation, and canopy evaporation) at 45 National Ecological Observatory Network (NEON) sites, 2) developing machine learning models to predict hourly water flux at 3 km resolution across the continental U.S. using satellite and weather data, and 3) making these water flux datasets publicly available to improve understanding of the changing U.S. water cycle. The researchers will also continue collaborating with tribal partners to monitor forest water use and provide training in water, forest, and data science.
Generated 1/28/25, 6:58 AM