Earth System Modeling for Actionable Science
The US Department of Energy’s (DOE) Office of Science initiated the development of the Energy Exascale Earth System Model (E3SM) in 2014. The project was motivated by the need for an Earth system model to support DOE’s energy mission and meet the requirement to run on the next-generation Exascale computing systems. To provide actionable information on the climate impacts on energy and water sectors and how climate change may influence sustainable energy futures, we developed a three-pronged strategy focusing on high-resolution modeling to improve simulations of extreme events that impact energy production and use, modeling the coupled human-Earth system to project future outcomes, and large ensemble modeling to quantify uncertainty. In this lecture, I will briefly introduce E3SM, including the recently released E3SM version 3 and the global cloud-resolving model (SCREAM) that achieves a throughput of over one simulated year per day on the Frontier exascale computer. With an emphasis on modeling extreme events and their future changes, we further leverage AI/ML to reduce model biases in simulating the large-scale circulations associated with extreme events, improve model calibration and uncertainty quantification, and address the challenges in modeling hurricane risk and wildfires.
Agenda
3:00pm – 3:45pm: Presentation
3:45pm – 4:00pm: Q&A
4:00pm – 4:30pm: Reception
