My research interests primarily focus on improved understanding and prediction of small-scale atmospheric phenomena, especially thunderstorms and their rainfall. In addition, my research focuses on thunderstorm morphological evolution. I am also researching ways to better predict winds for wind energy purposes. Finally, my interest in severe storms includes using machine-learning techniques to improve the storm reports database for estimated severe wind speeds, and exploring climate change impacts on severe weather and flooding.
- Gallus, W. A., Jr., 2020-2023: Enhancing the understanding of nocturnal convective system morphological evolution, NSF.
- Gallus, W. A., Jr., E. S. Weber, J. Newman, S. Dutta, and R. Maitra, 2019-2022: Improved diagnosis of severe wind occurrence through machine learning, NOAA.
- Villegas-Pico, H. and W. A. Gallus, Jr., 2020-2023: Orchestrating the restoration of wind-dominant grids from blackouts, DOE.
- Williams, I., and W. A. Gallus, Jr., 2021-2024: Interactions between clouds and wind-driven surface heat exchanges over land, DOE.
- Poleacovschi, C., M. Perez, B. Cetin, K. Cetin and W. A. Gallus, Jr., 2020-2021: Responding to the housing crisis in the arctic: A transdisciplinary approach across physical, natural and social systems. NSF.
- Mteor 407/507 Mesoscale Dynamic Meteorology (3 credits)
- Mteor 411/511 Synoptic Meteorology (3 credits)
- Mteor 417/517 Mesoscale Forecasting Laboratory (3 credits)