Forrest M Hoffman Distinguished Computational Earth System Scientist and Group Leader, Computational Earth Sciences Contact hoffmanfm@ornl.gov All Publications Mapping Crops Within the Growing Season Across the United States... Assessing Terrestrial Biogeochemical Feedbacks in A Strategically Geoengineered Climate... Quantifying the drivers and predictability of seasonal changes in African fire... The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty... Hackathon Speeds Progress Toward Climate Model Collaboration... The Effects of Phosphorus Cycle Dynamics on Carbon Sources and Sinks in the Amazon Region: A Modeling Study Using ELM v1... Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation Deep Transfer Learning With Field-Based Measurements for Large Area Classification... Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation... Modelling tree stem‐water dynamics over an Amazonian rainforest... Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014)... Streamflow in the Columbia River Basin: Quantifying Changes Over the Period 1951‐2008 and Determining the Drivers of Those ... Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking... Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking... Predictability of tropical vegetation greenness using sea surface temperatures... Biogeochemical Equation of State for the Sea-Air Interface... Enhancing global change experiments through integration of remote‐sensing techniques... Soil Moisture Variability Intensifies and Prolongs Eastern Amazon Temperature and Carbon Cycle Response to El Niño–Souther... Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks Taking climate model evaluation to the next level... Mapping Ecoregions Under Climate Change: A Case Study from the Biological ‘crossroads’ Of Three Continents, Turkey Global Carbon Budget 2018... Parallel k-means Clustering of Geospatial Data Sets Using Manycore CPU Architectures... Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID Professional Homepage Google Scholar Schedule time with me Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Physical Sciences Section Computational Earth Sciences Group Climate Change Science Institute