Forrest M Hoffman Distinguished Computational Earth System Scientist and Group Leader, Computational Earth Sciences Contact hoffmanfm@ornl.gov All Publications Global-Scale Convergence Obscures Inconsistencies in Soil Carbon Change Predicted by Earth System Models Perspectives on Artificial Intelligence for Predictions in Ecohydrology A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration ... Carbon cycle extremes accelerate weakening of the land carbon sink in the late 21st century Empirical relationships between environmental factors and soil organic carbon produce comparable prediction accuracy to machine learning Quantification of human contribution to soil moisture-based terrestrial aridity Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes Benchmark Analysis... Quantifying Carbon Cycle Extremes and Attributing Their Causes Under Climate and Land Use and Land Cover Change From 1850 to ... Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire... Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements... Human-caused long-term changes in global aridity... Development of observation-based global multilayer soil moisture products for 1970 to 2016... Country-level land carbon sink and its causing components by the middle of the twenty-first century... Interannual variability and climatic sensitivity of global wildfire activity... Potential ecological impacts of climate intervention by reflecting sunlight to cool Earth... Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks... Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere–Atmosphe... Land Model Testbed: Accelerating Development, Benchmarking and Analysis of Land Surface Models... Importance and strength of environmental controllers of soil organic carbon changes with scale... Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data-model integration... Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited... Modeling Functional Organic Chemistry in Arctic Rivers: An Idealized Siberian System... The Earth has humans, so why don’t our climate models?... The DOE E3SM v1.1 Biogeochemistry Configuration: Description and Simulated Ecosystem‐Climate Responses to Historical Change... Pagination Current page 1 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
