Hydrologists to transform climate projections with microbial data and artificial intelligence
The University of Arizona's Department of Hydrology and Atmospheric Sciences has been awarded $610,166 by the Department of Energy to enhance climate models by integrating biological and environmental data with artificial intelligence. This initiative aims to improve the Energy Exascale Earth System Model (E3SM), a sophisticated tool designed to simulate Earth's climate with high resolution and advanced physics.
Assistant Professor Yang Song leads the project, focusing on the complex role of soil microbes in the global carbon cycle and greenhouse gas emissions. By leveraging cutting-edge genomics data and AI, Song's team seeks to better represent soil biogeochemical processes and assess their implications for land carbon-climate feedback across various time scales.