Steven J. Greybush

Steven J. Greybush is a Professor of Meteorology in the Department of Meteorology and Atmospheric Science at The Pennsylvania State University's College of Earth and Mineral Sciences. He serves as Associate Director of the Center for Advanced Data Assimilation and Predictability Techniques (ADAPT) and is a Faculty Co-Hire at the Institute for Computational and Data Sciences.

His educational background includes:

• Ph.D. in Atmospheric and Oceanic Science from the University of Maryland
• M.S. in Atmospheric and Oceanic Science from the University of Maryland
• B.S. in Computer Science from Penn State
• B.S. in Meteorology from Penn State

Dr. Greybush's research focuses on data assimilation, numerical weather prediction, and the weather and climate of Mars, employing ensemble forecasting and AI-driven statistical methods. His work bridges terrestrial and planetary atmospheric science, with significant contributions to the Ensemble Mars Atmosphere Reanalysis System (EMARS) for studying Martian dust storms and atmospheric dynamics. He also advances techniques for Earth-based high-impact weather prediction, including lake-effect snow and winter storm systems.

His publication record reveals a clear trajectory from foundational data assimilation techniques (e.g., Ensemble Kalman Filter localization) toward integrated planetary and terrestrial applications. Recent work emphasizes ensemble-based reanalysis systems and AI-enhanced modeling for both Mars climate studies and extreme weather prediction on Earth, demonstrating consistent innovation in computational atmospheric science.

As Associate Director of ADAPT, Dr. Greybush leads interdisciplinary efforts to develop next-generation prediction frameworks that merge meteorology, computational science, and data analytics for complex atmospheric challenges.