Forrest M. Hoffman 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 iD iconorcid.org/0000-0001-5802-4134
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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.


About Me

Highlights of Recent Work


AI for Science Report Cover DOE’s AI for Science Report is out!

doi:10.2172/1604756

Be sure to read our Chapter 2 on Earth and Environmental Sciences
Soil moisture variability intensifies and prolongs eastern Amazon temperature and carbon cycle response to El Nino-Southern Oscillation 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 Plant-physiological responses to rising CO2 increase tropical flood risk
ILAMB package provides rigorous model benchmarking capabilities ILAMB package provides rigorous model benchmarking capabilities
Enhancing global change experiments through integration of remote sensing techniques Enhancing global change experiments through integration of remote sensing techniques

Current Projects

Highlights of Prior Work

Previous Projects and Participation

SciDAC: Scientific Discovery through Advanced Computing
SciDAC and Biology & Environment
Climate & Carbon Research Institute (CCRI)
GEOBABBLE!
Atmospheric Radiation Measurement (ARM) Program

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