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)| CV
Research Areas
Climate science, computational hydrologist
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