Ming Xue is a renowned weather expert and professor at the University of Oklahoma's School of Meteorology. With a background in meteorology and extensive experience in advanced modeling and numerical weather prediction, he is the director of the Center for Analysis and Prediction of Storms (CAPS) and the developer of the open-source Advanced Regional Prediction System (ARPS). His research focuses on severe and high-impact weather, data assimilation, and machine learning techniques for weather forecasting.
Ming Xue regularly teaches graduate-level classes on objective analysis, data assimilation, and computational fluid dynamics, as well as undergraduate-level courses on mesoscale meteorology and research communication in meteorology. He is highly regarded in the field and has published numerous papers and articles on his research. With his expertise and contributions to the field of meteorology, Ming Xue is a leading figure in weather prediction and analysis.
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