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About Earth & Environmental Systems Modeling

Earth & Environmental Systems Modeling (EESM) is an activity within the Earth and Environmental Systems Sciences Division in the Office of Biological and Environmental Research within the Department of Energy's Office of Science. EESM consists of three tightly coordinated research areas: Earth System Model DevelopmentRegional & Global Model Analysis, and MultiSector Dynamics. These three areas focus on the development, evaluation, and use of regional and global models, development of earth system models, and development of integrated models of natural resources, economic, infrastructural, and other human systems to explore a broad range of influences, stressors, responses, and energy pathways. 

EESM develops and deploys a broad suite of advanced technologies in pursuit of its research goals, including artificial intelligence/machine learning (AI/ML), Dynamical Digital Testbeds, hierarchical and multi-scale modeling, exascale computing, advanced software architectures, and a range of evaluation tools, from benchmarking to uncertainty quantification. 

Most recently, EESM has maintained a considerable focus in the areas of extreme events (e.g., tropical cyclones, atmospheric rivers, floods, droughts, heatwaves, wildfires); coastal systems dynamics; integrated water cycle; high latitudes and impacts on lower latitudes; biogeochemistry and feedbacks; urban systems and urban-rural gradients; and energy and connected infrastructure. 

The resulting highly integrated modeling capabilities and suite of integrated modeling tools are a hallmark of the EESM and constitute the EESM Modeling Framework.  The powerful and agile capabilities position EESSD and, more broadly, BER to address some of the most challenging and complex science questions confronting DOE and society. 

Strategic Plan

Earth and Environmental Systems Sciences Division (EESSD) Strategic Plan

Performance Metrics

FY2025

FY2024 | FY2023 | FY2022 | FY2021 | FY2020 | FY2019 | FY2018 | FY2017 | FY2016 | FY2015 | FY2014 | FY2013 | FY2012

Validation and Evaluation of High-Resolution/Downscaled Data Products

Report 1 - Nov. 7, 2023