Global Climate Model (GCM) calibration is a multi-step process done by hand and is a tedious and time-consuming
Global Climate Model (GCM) calibration is a multi-step process done by hand and is a tedious and time-consuming process. GCM calibration involves both high-dimensional input and output spaces. Many rigorous calibration methods have been proposed in both statistical and climate literature, but many are not practical to implement. In this talk, I will demonstrate a promising and practical calibration approach on the atmosphere only model of the Department of Energy’s Energy Exascale Earth System Model (E3SM).
Speaker Bio: Lyndsay is a statistician at Sandia National Laboratories. She received her B.S. in Mathematics at Bucknell University and Ph.D. in Statistics from the University of Illinois Urbana-Champaign in 2017 with a focus on spatio-temporal analysis. At Sandia, Lyndsay currently conducts and leads research centered around space-time statistics with applications to remotely sensed data, geoengineering, climate model calibration and disease modeling to name a few. Current research topics include nonstationary space-time methods, accounting for missing data in space-time point processes, Bayesian hierarchical modeling, and Spatial Dynamic Linear Models.
(Friday) 2:00 pm - 3:00 pm
Business Building 4.02.10
One UTSA Circle