Daniel M Ricciuto Group Leader, Earth Systems Modeling Contact ricciutodm@ornl.gov | 865.574.7067 All Publications Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months... Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0 An ultrahigh-resolution E3SM land model simulation framework and its first application to the Seward Peninsula in Alaska A Data Toolkit for Ultrahigh-resolution E3SM Simulation on Massively Parallel Processing Systems... Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling Global fire modelling and control attributions based on the ensemble machine learning and satellite observations... Diminishing marginal effect in estimating the dissolved organic carbon export from a watershed... Embracing fine-root system complexity in terrestrial ecosystem modeling Modeling perennial bioenergy crops in the E3SM land model (ELMv2) Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning Quantification of human contribution to soil moisture-based terrestrial aridity Photosynthesis phenology, as defined by solar-induced chlorophyll fluorescence, is overestimated by vegetation indices in the... Anthropogenically driven climate and landscape change effects on inland water carbon dynamics: What have we learned and where... Upscaling Methane Flux From Plot Level to Eddy Covariance Tower Domains in Five Alaskan Tundra Ecosystems... Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion... An interpretable machine learning model for advancing terrestrial ecosystem predictions... Coupling of Tree Growth and Photosynthetic Carbon Uptake Across Six North American Forests... Invertible neural networks for E3SM land model calibration and simulation... Increasing Functional Diversity in a Global Land Surface Model Illustrates Uncertainties Related to Parameter Simplification... Incorporating Microtopography in a Land Surface Model and Quantifying the Effect on the Carbon Cycle Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis... Human-caused long-term changes in global aridity... Hydrological feedbacks on peatland CH4 emission under warming and elevated CO2: A modeling study... Evaluation and Modification of ELM Seasonal Deciduous Phenology against Observations in a Southern Boreal Peatland Forest... Updated respiration routines alter spatio-temporal patterns of carbon cycling in a global land surface model... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Biological and Environmental Systems Science Directorate Environmental Sciences Division Earth Systems Science Section Earth System Modeling Group Climate Change Science Institute
