Hungjui Yu 尤虹叡
Atmospheric Research Scientist based in Fort Collins, Colorado, U.S.
I study the 3D structure of convective storms and how they evolve in various environments using remote-sensing observations, numerical models, and machine learning, with applications to high-impact weather and aviation safety.
Through rigorous science and scalable software tools, I transform complex atmospheric insights into practical solutions that strengthen safety, resilience, and decision-making.
Research
- Cloud & Storm Structure – Unraveling the 3D structure and internal organization of clouds and storms.
- Mesoscale Convective Processes – Understanding how environmental conditions regulate convective initiation, growth, and decay.
- Weather–Climate Interface – Linking short-lived extremes with longer-term variability and climate trends.
- Aviation – Developing tools to detect and quantify cloud-free line of sight.
Tools
- Data Integration & Analysis – Combining satellite, radar, and in situ observations with cloud-permitting models.
- Machine Learning – Extracting patterns and mechanisms within clouds and their environments to improve scientific understanding.
- Software Development – Creating scalable, open-source tools and workflows for research and operational applications.
“The first step in solving any problem is recognizing there is one.”