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EESM PI Meeting 2024

Image Caption

Street view of Bethesda, Maryland. 

Image Credit

Image courtesy of Bethesda North Marriott Hotel and Conference Center

Event Date
Tuesday, August 6, 2024 at 12:01am - Friday, August 9, 2024 at 11:59pm
Funding Program Area(s)

The Department of Energy's Earth and Environmental Systems Modeling (EESM) Program will hold its annual Principal Investigators Meeting in-person at the Bethesda North Marriott Hotel and Conference Center in Rockville, Maryland.


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. This PI meeting is essential to foster and sustain important collaborations among EESM scientists, as well as to continue progress toward programmatic goals.  The meeting is for PIs and team members of EESM-funded activities, PIs or representatives from other BER-funded, EESM-relevant projects and facilities, BER staff, and invited guests and observers.  The meeting also provides BER program managers the opportunity to interact with PIs including early career researchers, exercise programmatic oversight, review progress of DOE-funded university and national lab projects and identify significant advances as well as future research needs.  The EESM PI meeting will include brief presentations from a representative set of funded projects, topical breakout and poster sessions, and plenary talks on topics of broad interest.

Important Information

The EESM PI meeting will be held in a hybrid in-person and virtual format, to begin on Tuesday, August 6, 2024, and conclude on Friday, August 9, 2024. Plenary and breakout sessions will allow participation by both in-person and virtual attendees (virtual attendees will not be able to participate or present in poster sessions). The PI or a project representative is expected to attend the entire meeting. All attendees are encouraged to submit an abstract.  Each attendee can only submit one abstract as the lead author but can be included in multiple abstracts as co-authors.

All attendees must register for the meeting on the meeting registration site by 11:59 p.m. Eastern Time (EST) on Monday, July 22. The deadline for abstract submissions has now passed. 

Register for the EESM PI Meeting.

View the agenda for the EESM PI Meeting.

See the members of the EESM PI Meeting planning committee

The DOE Office of Science (SC) is fully committed to fostering safe, diverse, equitable, and inclusive work, research, and funding environments that value mutual respect and personal integrity. Effective stewardship and promotion of diverse and inclusive workplaces that value and celebrate a diversity of people, ideas, cultures, and educational backgrounds is foundational to delivering on the SC mission. The scientific community engaged in SC-sponsored activities is expected to be respectful, ethical, and professional. For more information, please see the SC Diversity, Equity, and Inclusion web page.

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

Browse Abstracts

Showing 1 - 303 of 303