Aaron Johnson

Professor Aaron Johnson is a distinguished Research Scientist at the University of Oklahoma's School of Meteorology, where he has been contributing significantly to the field since his appointment. With a robust academic background, he earned his B.S. in Meteorology and Computer Science from Valparaiso University, followed by an M.S. and Ph.D. in Meteorology from the University of Oklahoma. His academic journey has equipped him with a unique blend of skills that he applies to his research and teaching. Professor Johnson's research interests are diverse and cutting-edge, focusing on Numerical Weather Prediction, Data Assimilation, and Ensemble Forecasting. He is particularly passionate about integrating Machine Learning techniques into meteorological studies, a field that is rapidly evolving and holds great promise for the future of weather prediction. His work on Nocturnal Convection and Forecast Verification has been instrumental in advancing our understanding of complex weather phenomena. Since 2020, Professor Johnson has also served as an Adjunct Assistant Professor at the University of Oklahoma, where he is highly regarded for his engaging teaching style and dedication to student success. His courses often incorporate the latest research findings, providing students with a comprehensive and up-to-date education in meteorology. In addition to his academic and research pursuits, Professor Johnson is actively involved in various collaborative projects and initiatives aimed at improving weather prediction models and techniques. His contributions to the field have been recognized through numerous publications and presentations at national and international conferences. Through his work, Professor Johnson continues to push the boundaries of meteorological science, inspiring both his students and colleagues alike.