Dr. Zhaoxia Pu is a professor of atmospheric sciences and a fellow of the American Meteorological Society and Royal Meteorological Society. Her research interests include numerical weather prediction, data assimilation, numerical modeling, and predictability, with specific topics on satellite and radar data assimilation, mesoscale severe weather systems, coupled earth system modeling and data assimilation, observing system simulation experiments, targeting weather observations, atmospheric boundary layers over complex terrain, and applications of artificial intelligence and machine learning in NWP and climate forecasting. Before joining the faculty at the University of Utah in 2004, she worked as a graduate student fellow (1993-1996) and a postdoctoral researcher (1997-1998) at the NOAA NCEP Environmental Modeling Center in Washington, DC area and as a research scientist at the NASA Goddard Space Flight Center in Maryland during 1998-2004.

Dr. Pu has extensive experience collaborating with NOAA, NASA, DOE, ONR, and NSF and has managed to carry out over 30 research projects. In addition, Dr. Pu has authored over 100 peer-reviewed journal articles and participated in over ten major field programs. In recent years, she has been deeply involved in NOAA’s Hurricane Forecasting Improvement Program, Next-Generation Global Prediction System (NGGPS), and Unified Forecasting System (UFS) programs. More importantly, her research projects have also included substantial components in research to operational transition.

Dr. Pu has served as a member of numerous national and international science teams and advisory
boards, review panels, editorial boards, and service committees. She was overall program co-chair
for the 96th American meteorological Society Annual Meeting, AMS 22nd and 24th conferences
on weather and forecasting, and 18th and 20th conferences on numerical weather prediction.