The Department of Energy's Earth and Environmental Systems Modeling (EESM) Program held its annual Principal Investigators Meeting from August 6 to 9, 2024, in Rockville, Maryland. 

Purpose

The goal of the EESM portfolio within the Earth and Environmental Systems Sciences Division (EESSD) is to develop and demonstrate advanced modeling and simulation capabilities to enhance the predictive capacity for the Earth system over multiple temporal and spatial scales. EESM investments, therefore, focus on Earth system model development, regional and global model analysis, and understanding of multisector dynamics within the coupled human-Earth system. EESM PI meetings are essential to foster and sustain important collaborations among EESM scientists, as well as to continue progress toward programmatic goals. Meetings also provide BER program managers the opportunity to interact with PIs, including early career researchers, exercise programmatic oversight, review the progress of DOE-funded university and national lab projects, and identify significant advances as well as future research needs. EESM PI meetings include brief presentations from a representative set of funded projects, topical breakout and poster sessions, and plenary talks on topics of broad interest.

• View 2024 EESM PI Meeting Agenda and Presentations.

• See the members of the EESM PI Meeting planning committee. 

Session Categories

1. Water cycle and Hydroclimate
2. Urban
3. Coastal
4. Impacts, tipping points and systems responses and resilience
5. Biogeochemistry
6. Energy, water and land system transitions
7. Extremes events
8. High latitude
9. Modes of variability and teleconnections, trends
10. Strengthening EESM integrated modeling framework—towards a digital earth
11. Metrics, benchmarks, and credibility of output and data for science and end users
12. Innovative and emerging technologies: ML/AAI, digital earth, exascale and quantum computing, advanced software infrastructures
13. Methods in model integration, hierarchical modeling, model complexity
14. Local/regional testbeds—an integrative framework for multidisciplinary model development and applications
15. Model uncertainties, model biases, and fit-for-purpose