معرفی
Paola Crippa is an Assistant Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame, College of Science. Her research focuses on air quality, aerosol dynamics, climate change, and wind energy, leveraging advanced computational models like WRF-Chem and large eddy simulations (LES). She holds a Ph.D. in Atmospheric Science from Indiana University-Bloomington (2013), and M.S. and B.S. degrees in Environmental Engineering from Politecnico di Milano, Italy (2007 and 2005).
Her work integrates high-performance computing with atmospheric processes, exploring topics such as urban climate impacts, aerosol-cloud interactions, and extreme weather events. Notable contributions include studies on Sundowner events, wind energy potential in complex terrain, and the role of urbanization in deep convection.
Research interests span multiscale modeling, environmental justice in air pollution epidemiology, and the application of machine learning (e.g., echo state networks) for weather forecasting. She actively participates in interdisciplinary projects like the Perdigão field campaign, addressing wind energy and turbulence dynamics.
Her publications emphasize quantifying uncertainties in climate impacts, optimizing wind energy assessments, and understanding human health risks from air pollutants. Despite no explicitly noted awards or grants in the provided text, her extensive publication record reflects sustained contributions to atmospheric science and computational methods.
