Dr. Zhaoxia Pu is a professor of atmospheric sciences, a fellow of the American Meteorological Society and Royal Meteorological Society, and a member of the NOAA Science Advisory Board. Her research is devoted to improving prediction of high-impact weather and extremes. Areas of 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.
Dr. Pu has extensive experience collaborating with NOAA, NASA, DOE, ONR, and NSF and has managed to carry out over 30 research projects. She 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. In addition, Dr. Pu has served as a science team member for NASA satellite missions and recent field campaigns. She is also the leader of the current NSF-funded field campaign and science project "Cold fog amongst complex terrain (CFACT)."
The full list of Journal publications is available at the following link: https://home.chpc.utah.edu/~pu/myhome/publication.html
Linke to the research page: https://home.chpc.utah.edu/~pu/myhome/research_page.html
Some highlights can be found at:
- Numerical weather and climate prediction
- High-Impact Weather and Extremes
- Data Assimilation and Data Science; AI and Machine Learning