معرفی
Hristo Chipilski is an Assistant Professor in the Department of Scientific Computing at Florida State University. His research focuses on data assimilation, artificial intelligence, numerical weather prediction, and atmospheric dynamics, combining theoretical, computational, and applied approaches.
- Education: 2021-2023 ASP Postdoctoral Fellow (NCAR), 2016-2021 PhD in Meteorology (University of Oklahoma), 2012-2016 MMet in Meteorology and Climate (University of Reading, UK)
Research Interests:
Data assimilation (optimal combination of models and observations) drives his work, particularly for atmospheric systems. He explores AI integration with traditional assimilation methods, targeting convective-scale weather prediction and real-time high-performance computing applications. His studies analyze bore-generating convection, cloud microphysics, and multiscale dynamics.
Article Trends:
Recent publications emphasize nonlinear ensemble filtering techniques, diffusion models, and generative AI for data assimilation in geophysical systems. Topics span surface quasi-geostrophic dynamics, partial observation handling, and real-time numerical weather prediction (NWP) frameworks optimized for high-performance computing.
