Ming Xue's Home Page | ||||||||||||||||||||||
Where Excitement about Weather Prediction Begins |
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Last updated: 10/1/2009 |
I hold a B.S. degree (1984) in meteorology from Nanjing University, China, and a Ph.D. degree (1989) in meteorology from University of Reading, U.K. My research interests include research and development on advanced modeling, data assimilation and numerical weather prediction techniques and systems, the simulation, prediction, dynamics, and predictability of severe and high-impact weather from synoptic down to microscales (e.g., tornadoes), the assimilation of remote sensing observations from platforms such as radar and satellites, the modeling of environmental processes and regional climate, the modeling of environmental processes and regional climate, and the use machine learning techniques for improving weather forecasting. I regularly teach graduate level classes Objective Analysis and Data Assimilation (OBAN2019) and Computational Fluid Dynamics (CFD2023) and have taught undergraduate-level courses Physical Mechanics (PM2000), Mesoscale Meteorology (MM2015), Principles of Research and Communication in Meteorology(METR 3334). I am teaching a new senior/graduate-level course, Application of Meteorological Theory to Severe Thunderstorm Forecasting (METR4403) in spring 2023. For
information on my current research, click
on the link. A Presentation given at Unified Forecasting System (UFS) Webinar on the Development and Testing of Radar and Lightning Data Assimilation and Ensemble Forecasting Capabilities within GSI Operational DA System and with UFS Models at CAPS An Inivited Talk Given at the 2017 AMS Meeting Second Symposium on Multiscale Atmospheric Predictability (Recorded presentation, ppt) Ming
Xue, Ph.D.. FAMS, FAGU
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