Steven Greybush

Steven Greybush is an Associate Professor in the Department of Meteorology and Atmospheric Science at Pennsylvania State University, College of Earth and Mineral Sciences. He is based in University Park, PA, and his research bridges atmospheric science, climate modeling, and interdisciplinary applications. He leads and contributes to major research initiatives involving AI-enhanced weather forecasting, planetary meteorology, and climate impacts on water and health systems.

His research interests include Atmospheric Science, Climate Modeling, Data Assimilation, Planetary Meteorology (especially Mars), Lake-Effect Snowbands, Tropical Cyclones, and Climate-Health Interactions. His work applies advanced techniques such as the Ensemble Kalman Filter (EnKF), Local Ensemble Transform Kalman Filter (LETKF), and AI-driven models to improve predictions of weather and climate phenomena.

His recent publications (2021–2025) reveal a strong trend in integrating satellite and radar data into numerical models, enhancing forecasts of convection, hurricanes, and snowstorms. He also explores Martian atmospheric dynamics and the impact of climate variability on public health in Africa. His work is supported by major grants from NASA and NSF, including a $1.23 million NASA grant to improve AI satellite weather forecasting and an NSF grant for AI-powered weather pattern understanding.

• $1.23 million NASA grant for AI satellite weather forecasting
• NSF grant for AI-powered weather pattern understanding
• Penn State part of $6.6M consortium to improve weather forecasting
• Reducing Uncertainty in River System Forecasts to Maximize Nuclear and Hydro Generation

Greybush collaborates with interdisciplinary teams and participates in field campaigns such as IMPACTS (Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms). He advises or co-advises graduate students and researchers, though specific advisees are not listed. His work is published in top journals including Journal of Geophysical Research, Monthly Weather Review, JAMA Network Open, and PNAS.