Forrest M. Hoffman Distinguished Computational Earth System Scientist and Group Leader Computational Earth Sciences Group, Computational Sciences & Engineering Division and Climate Change Science Institute (CCSI), Oak Ridge National Laboratory Building 4500N, Room F106 Mail Stop 6301 P.O. Box 2008 Oak Ridge, TN 37831-6301 United States of America (USA) Telephone: +1-865-576-7680 E-mail: forrest at climatemodeling dot org

orcid.org/0000-0001-5802-4134

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). As a resident researcher in ORNL’s Climate Change Science Institute (CCSI) and a member of ORNL’s Computational Sciences & Engineering Division (CSED), Forrest develops and applies Earth system models (ESMs) to investigate the global carbon cycle and feedbacks between biogeochemical cycles and the climate system. He applies data mining methods using high performance computing to problems in landscape ecology, ecosystem modeling, remote sensing, and large-scale climate data analytics. He is particularly interested in applying machine learning methods to explore the influence of terrestrial and marine ecosystems on hydrology and climate. Forrest is also a Joint Faculty Member in the University of Tennessee’s Department of Civil & Environmental Engineering in nearby Knoxville, Tennessee.

• Full Curriculum vitae (CV)
• Detailed Résumé
• Publications
• Presentations

	New report explores revolutionary environmental AI infrastructure January 11, 2023
	Earth System Grid Federation launches effort to upgrade climate projection data system October 5, 2022
	DOE’s Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop Report is out! doi:10.2172/1888810 Read the AI4ESP Workshop Report Executive Summary for an overview September 1, 2022
	ORNL expertise supports latest IPCC report and efforts to understand, address climate change August 25, 2021
	DOE’s AI for Science Report is out! doi:10.2172/1604756 Be sure to read our Chapter 2 on Earth and Environmental Sciences February 1, 2020
	Soil moisture variability intensifies and prolongs eastern Amazon temperature and carbon cycle response to El Niño-Southern Oscillation
	Plant-physiological responses to rising CO2 increase tropical flood risk
	ILAMB package provides rigorous model benchmarking capabilities
	Enhancing global change experiments through integration of remote sensing techniques

• 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)
• Next-Generation Ecosystem Experiments - Tropics (NGEE Tropics) - a project focused on advancing model predictions of tropical forest carbon cycle responses to a changing climate over the 21st century. Supported by the US Department of Energy (DOE), Biological and Environmental Research (BER)
• Development of a Land Model Testbed (LMT) for Rapid Assessment and Benchmarking of Multiscale Complex Biogeochemistry in ESMs - a project to develop a framework for ensemble simulation on leadership-class supercomputers and uncertainty assessment of model results from site measurements with machine learning approaches. Supported by the Oak Ridge National Laboratory (ORNL), Laboratory Directors’ Research and Development (LDRD) Fund
• Big Data Methods for Detecting Forest Disturbance and Recovery Patterns and Imputing Expected Productivity Measures - a project employing satellite and airborne remote sensing to characterize continental-scale forest productivity, effects of disturbance, and forest health in support of the US Forest Service’s ForWarn early warning system. Supported by the US Department of Agriculture (USDA), Forest Service

• Researchers present computational strategy for selecting environmental measurement sites in award-winning paper (July 11, 2014)
• Oak Ridge National Laboratory researchers improve fidelity of Earth system models (November 25, 2013)
• New algorithm enables unprecedented sampling, modeling of Arctic (ORNL Review, Vol. 46, Nos. 2–3, 2013)
• ForWarn Researchers Get EVEREST-sized Look at Woodland Disturbances (September 1, 2013)
• Researchers Map Where Tree Species Survive and Thrive Under Climate Change (August 8, 2013)
• A Framework for Benchmarking Land Models (Summary; November 30, 2012)
• The Carbon-Land Model Intercomparison Project (C-LAMP) (August 15, 2012)
• A Primer on the NEON Sampling Design (March 24, 2011)
• Tracking Forest Threats (March 4, 2011)
• Carbon-Land Model Intercomparison Project (C-LAMP) (September 3, 2010)
• Climate Modeling at ORNL -- Frank Munger's Atomic City Underground blog (August 15, 2008)
• Hoffman Presents Two Papers at the International Congress on Environmental Modelling and Software (July 10, 2008)
• The People Have Spoken! ORNL Researchers Take Top Honors for Poster (March 13, 2008)
• Hoffman Among CSMD Researchers Winning Outstanding Mentor Award (February 5, 2008)
• The Fractal Realizer Has Been Rewritten in Fotran-90 (May 25, 2007)
• Using Clustered Climate Regimes to Analyze and Compare Predictions from Fully Coupled General Circulation Models (August 3, 2005)
• Community Land Model (CLM) Vector Performance (January 13, 2004)
• Walkers Application Performance on the Penguin Cluster (November 21, 2003)

• CCSM Carbon LAnd Model intercomparison Project (C-LAMP) - a project to intercompare results of different terrestrial biogeochemistry models, especially models running in the Community Climate System Model (CCSM) framework, and best-available observational data as a part of the following SciDAC project
• Scientific Discovery through Advanced Computing (SciDAC), A Scalable and Extensible Earth System Model for Climate Change Science (John Drake, PI) - a project involving a large, multi-institutional team to transform an existing, state-of-the-science, third-generation global climate model, the Community Climate System Model (CCSM3), into a first-generation Earth system model that fully simulates the coupling between the physical, chemical, and biogeochemical processes in the climate system
• Parallel Climate Model (PCM) Cluster Analysis - preliminary research results from multivariate analyses and visualizations from Parallel Climate Model (PCM) model output
• Climate & Carbon Research Institute (CCRI) - activity in the National Center for Computational Science (NCCS) focused on the computational aspects of global climate and carbon research and their interaction with natural and anthropogenic processes
• GEOBABBLE! - geographic research using high-performance computing
• Global Change Data and Information System (GCDIS) - the gateway to global change data for the U.S. Global Change Research Program (USGCRP)
• Carbon Dioxide Information Analysis Center (CDIAC) - the primary global-change data and information analysis center of the U.S. Department of Energy
• Project NOPP Drifters - partnering ocean science, education, and technology for the National Oceanographic Partnership Program (NOPP)
• Atmospheric Radiation Measurement (ARM) Program Archive - the public access point for data and data products resulting from the scientific field experiments of the U.S. Department of Energy's ARM program
• The Stone SouperComputer - ORNL's First Beowulf-Style Parallel Computer
• HydroBioGeoChem 123D (HBGC123D) - a non-isothermal hydrologic transport model supporting biogeochemical kinetic and/or equilibrium reactions in variably saturated media
• Environmental Technology Partnership Initiative (ETPI) - improving the understanding and predictive capabilities of fate and transport of industrial mixed waste plumes in subsurface environments
• Regional Climate Modeling - applying mesoscale models with upscaling and downscaling tools in support of regional assessments
• NARSTO Quality Systems Science Center (QSSC) - providing quality assurance and data management for the North American Research Strategy for Tropospheric Ozone (NARSTO) program
• Clinch River Environmental Restoration Program (as a member of Team Viz) - an archive of information, maps, and animations produced by this former program
• Financial Automated Management On-line User System (FaMOUS) - on internal system for presenting cost information to managers at the desktop using Web technology