Dr. Noemi Vergopolan is a computational hydrologist on the water and climate nexus. Her research aims to aid actionable decision-making by improving hydrological information for monitoring and forecasting hydrological extremes and their impacts at the local scales. To this end, she develops scalable computational approaches for high-resolution hydrological prediction by leveraging advances in satellite remote sensing, land surface modeling, machine learning, data fusion, and high-performance computing.

WEBSITE(S)| Website | Google Scholar | CV
Research Areas
Computational hydrology, satellite remote sensing, Earth system modeling, water-energy-food nexus
Education
B.S. in Environmental Engineering, Federal University of ParanĂ¡
M.A. in Civil and Environmental Engineering, Princeton University
Ph.D. in Civil and Environmental Engineering, Princeton University
Honors & Awards
2022 American Geophysical Union - Science for Solutions Award
2022 American Academy of Environmental Engineers and Scientists - Paul F. Boulos Excellence in Computational Hydrology Award