Past Event: Jackson School of Geosciences & Oden Institute
Francis X. Giraldo, Distinguished Professor, Naval Postgraduate School & Adjunct Professor, University of California at Santa Cruz
4 – 5PM
Tuesday Mar 25, 2025
Boyd Lecture Hall, JGB
In this talk, I will present the role that element-based Galerkin (EBG) methods have had in a few disciplines in computational geosciences, which include weather, climate, ocean, and shallow water modeling. In addition, I will highlight my contributions to computational geosciences and to the development of the EBG methods that we have used extensively for these applications. Although the focus of my talk will be on the topic of computational geosciences, I will also touch on other aspects required to build accurate and efficient models to reduce the time-to-science. To this end, I will briefly describe aspects of time-integration and present the scalability of our codes on modern computer architectures. This talk is motivated by the research of my group and that of our collaborators in building operational weather prediction models as well as advancing the field for application in climate, space weather, and ocean dynamics.
Francis (Frank) Giraldo is a distinguished professor of Applied Mathematics at the Naval Postgraduate School in Monterey California; Frank also holds an appointment as an adjunct professor of applied mathematics at the University of California at Santa Cruz in the Department of Applied Mathematics. Frank received degrees from Princeton and the University of Virginia. Frank pioneered element-based Galerkin methods in nonhydrostatic atmospheric modeling and through his teaching and collaboration has helped a number of atmospheric modeling efforts develop operational weather predictions systems based on these methods. His book on element-based Galerkin methods was published by Springer in 2020. Frank’s research is primarily focused on applied problems in climate, weather, and ocean, although his PhD work was in hypersonic flow. Frank serves as associate editor for Monthly Weather Review and on two working groups (HPC and Common Modeling Architectures) of the Interagency Council for Advancing Meteorological Services from the Office of Science and Technology Policy.