Forrest M. Hoffman is a Distinguished Computational Earth System Scientist and the Group Leader for the Computational Earth Sciences Group at Oak Ridge National Laboratory (ORNL). He develops and applies Earth system models (ESMs) to investigate the global carbon cycle and feedbacks between biogeochemical cycles and the climate system. Through a US Department of Energy (DOE)-supported model-data integration project, Forrest co-leads community model benchmarking activities and the development of the International Land Model Benchmarking (ILAMB) and International Ocean Model Benchmarking (IOMB) packages. He is particularly interested in applying machine learning methods to explore the interactions of terrestrial and marine ecosystems with hydrology and climate. Through a DOE-supported data management project, Forrest co-leads development and deployment of a next generation Earth System Grid Federation (ESGF) distributed data infrastructure in the US. In addition, Forrest applies data mining methods using high performance computing to problems in landscape ecology, ecosystem modeling, remote sensing, and large-scale climate data analytics. Forrest is also a Joint Faculty Member in the University of Tennessee’s Department of Civil & Environmental Engineering in nearby Knoxville, Tennessee, and a Fellow of the American Association for the Advancement of Science.
Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation - a project focused on advancing multi-scale understanding of biogeochemical processes and their influences on predictability of the Earth system under conditions of increasing atmospheric carbon dioxide (CO2) and developing tools for systematic model evaluation and benchmarking (like ILAMB). Supported by the US Department of Energy (DOE), Biological and Environmental Research (BER)
Next-Generation Ecosystem Experiments - Arctic (NGEE Arctic) - a project aimed at advancing the predictive power of Earth system models through understanding of the structure and function of Arctic terrestrial ecosystems. Supported by the US Department of Energy (DOE), Biological and Environmental Research (BER)