Where Excitement about Weather
Prediction Begins

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I am a professor at the School of Meteorology (SOM), and Director of the Center for Analysis and Prediction of Storms (CAPS), University of Oklahoma (OU). I also hold the Weathernews Chair in Applied Meteorology. Before joining SOM in 1999 as a faculty member, I was with CAPS for 10 years, starting as a post-doc and ending as a senior scientist. I remained as the CAPS scientific director until resuming the director position in 2006. I was the main developer of the Advanced Regional Prediction System (ARPS), and continue to use it for a variety of research.

I hold a B.S. degree in meteorology from Nanjing University, China, and a Ph.D. degree in meteorology from University of Reading, U.K.

My research interests include the development of advanced numerical techniques, and modeling and data assimilation systems, the simulation, prediction, dynamics, and predictability of mesoscale and convective scale weather systems, tornado dynamics, advanced data assimilation and retrieval techniques for radar and other high-resolution observations.

I have taught graduate level classes Objective Analysis and Data Assimilation (OBAN2016) and Computational Fluid Dynamics (CFD2017) and undergraduate-level courses Physical Mechanics (PM2000) and Mesoscale Meteorology (MM2015).

For information on my current research, click on the link.

You are welcome to view my brief vita and full CV and to see a complete list of my publications.

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An Inivited Talk Given at the 2017 AMS Meeting Second Symposium on Multiscale Atmospheric Predictability (Recorded presentation, ppt)

Dr. Ming Xue
Professor, School of Meteorology
Weathernews Chair in Applied Meteorology
Director, Center for Analysis and Prediction of Storms
University of Oklahoma
National Weather Center, Suite 2500
120 David Boren Blvd, Norman OK 73072, USA
Tel: (405) 325 6037 (O) (405) 360 1494 (H)
FAX: (405) 325 7614
E-mail: mxue@ou.edu
WWW: http://twister.caps.ou.edu

Featured Item
Final Report for NSF Grant ATM-0530814 "Storm-Scale Quantitative Precipitation Forecasting Using Advanced Data Assimilation Techniques:  Methods, Impacts and Sensitivities"

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