Physics Seminar: Improving the Value of Observations in Data Assimilation for Weather Prediction

Join the Physics Department for our seminar series. Please use SRTC's front door (entry at SW 10th & SW Montgomery), which will be opened before the seminar. Coffee, tea, and snacks will be provided.

This week, we're joined by PSU's own Prof. Dacian Daescu. He is esteemed in the realm of applied and computational mathematics, directing his research towards data-enabled science for the nuanced analysis and prediction of intricate dynamical systems governed by nonlinear ordinary differential equations (ODEs) or partial differential equations (PDEs). His scholarly pursuits encompass data assimilation, sensitivity analysis, parameter estimation, and uncertainty quantification, facilitated by advanced numerical optimization algorithms, high-performance computing, and statistical data analysis tools. Prof. Daescu's scholarly focus extends to geophysical and environmental issues of considerable societal consequence, such as numerical weather prediction and air pollution forecasting. He is an active member of the AI Institute in Dynamic Systems and has received research backing from prominent institutions including NASA, NRL, NSF, and Intel Inc. His work significantly contributes to methodologies for system assessment, experimental design, and the precise representation of uncertainty in model forecasts.