Scientists are frequently asked to provide models and simulations about complex systems — from weather and climate to disease transmission — but they may not accurately reflect on-the-ground circumstances. Research scientists at UT’s Texas Advanced Computing Center are developing new technologies that can combine and analyze data in new ways and make more accurate predictions. The project will include a first-of-its-kind model that interlaces hurricane projections with storm surge and flooding models in a dynamic, interactive. These can be applied at a large, region-wide scale, allowing faster, better-informed decisions for people to deal with both sudden disasters like flash floods and storms as well as more gradual change such as drought conditions and increasing temperatures. Long term, this project seeks to design an artificial intelligence-enabled modeling framework that becomes the de facto example of how data and community feedback can be integrated to inform decisions in real time. 

Team: Suzanne Pierce (Texas Advanced Computing Center); Clint Dawson (Oden Institute); Katy Brown (Integrative Biology); Michael Shensky (UT Libraries); Lissa Pearson (Texas Advanced Computing Center); Kelly Pierce (Texas Advanced Computing Center); Je’aime Powell (Texas Advanced Computing Center); Anna Dabrowski (Texas Advanced Computing Center); Eirik Valseth (Oden Institute); Dev Niyogi (Geosciences)