EES 16 Teams
Computational Earth Sciences (EES-16)
The Computational Earth Science Group focuses on computational modeling to solve nationally important problems in the environment, climate, energy, and national security sectors. Our capabilities integrate knowledge and observational data, explain complex processes using physics based models, and forecast or predict future conditions and states of earth and environmental systems in order to inform decisions and policy.
The subsurface flow and transport processes team develops and applies models to predict chemical and radionuclide migration in fractured and porous media, understand the complex interaction of non-isothermal, multiphase flow processes for geologic carbon sequestration, and developing strategies for extracting geothermal and unconventional oil and gas resources.
In the atmosphere our team develops and applies models of wildfire and urban firestorm propagation as well as wind energy assessments focusing on interference and interactions between multiple turbines as well as the material weathering of wind blades. The atmospheric modeling team developed the R&D 100 winning HIGRAD/FIRETEC hydrodynamic software for these applications. Higher in the atmosphere we develop first-principle modeling capabilities to simulate Electromagnetic Pulse (EMP) signatures as might be seen from satellites in order to characterize security threats and filter lightning signatures. The modeling approaches integrate data and prior information into inverse modeling and uncertainty quantification frameworks in order to provide realistic, data driven bounds on model prediction uncertainty.
EES-16 has a rich history in high performance computing. We have recently ported HiGrad/FireTec to LANL's novel heterogeneous architecture, petaflop per second RoadRunner architecture. Our PFLOTRAN code has achieved groundbreaking benchmarks, using over 130,000 cores on the leadership-class Jaguar computer at ORNL for groundwater contaminant transport simulations..
EES-16 has established leadership roles on the new ASCEM (Advanced Simulation Capability for Environmental Management) Project, a multi-lab, multi-year initiative to develop high performance simulation capabilities to address the complex legacy challenges DOE-EM faces in remediating and closing sites in challenging hydrogeologic systems with challenging waste materials.