Topic: Earth Systems

Highlights include innovative solutions for contact mechanics, HPC optimization, quantum dynamics, and carbon capture.

Ensuring researchers and policymakers can predict and prepare for the long-term effects of a changing climate is a central, motivating question for the Energy Exascale Earth System Model (E3SM) project.

LLNL is applying ML to real-world applications on multiple scales. Researchers explain why water filtration, wildfires, and carbon capture are becoming more solvable thanks to groundbreaking data science methodologies on some of the world’s fastest computers.

By taking weather variables such as wildfire, flooding, wind, and sunlight that directly impact the electrical grid into consideration, researchers can improve electrical grid model projections for a more stable future.

LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.

Hosted at LLNL, the Center for Efficient Exascale Discretizations’ annual event featured breakout discussions, more than two dozen speakers, and an evening of bocce ball.

With simple mathematical modifications to a common model of clouds and turbulence, LLNL scientists and their collaborators helped minimize nonphysical results.

The Earth System Grid Federation is a web-based tool set that powers most global Earth system research.

AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for Earth system data discovery, analytics, simulations, and knowledge innovation.