Computational Earth Science
Providing realistic, data-driven models for improved prediction
Computational Earth Science (EES-16) capabilities integrate expert knowledge, laboratory data and observational data to explain complex processes using physics-based models and make predictions of future conditions that include quantitative uncertainty analysis to inform decisions and policy.
- Clean energy (fossil energy and wind energy)
- Climate-impact realization
- Environmental management
- Microscale, mesoscale, and global-scale atmospheric phenomenology
- Nuclear explosion-induced atmospheric physics
- Repository science for nuclear-waste disposal
- Subsurface flow and transport in porous and fractured media
- Wildfire and urban firestorm modeling and predictions
We focus on
- Atmospheric modeling
- Microscale, mesoscale, and global-scale atmospheric phenomena
- Applying our award-winning HIGRAD/FIRETEC hydrodynamic software to diverse phenomena of wildland and urban fire propagation; and to aid development of better energy materials, such as stronger and more efficient wind turbines
- Modeling to simulate Electromagnetic Pulse (EMP) signatures to characterize lightning and security threats (such as nuclear explosions)
- Subsurface flow and transport processes — This work helps reveal how chemicals (such as nuclear waste) interact with the environment, age, and move throughout soil, rock, water.
- Developing and applying models to predict flow and transport of multi-phase fluids in subsurface porous and fractured media
- Improving geothermal and oil/gas extraction
- We have R&D roles studying chemical and physical interactions to improve extraction efficiency, reduce water usage and reduce greenhouse gas emissions. We also develop process models, infrastructure optimization models, and risk/performance assessment tools to support critical national decisions.
High Performance Computing: Subsurface Flow and Transport
- We develop advanced computational methods to model flow and transport in porous and fractured geologic media and coupled thermal-hydrologic-chemical-mechanical processes. In addition to numerical codes, Uncertainty Quantification (UQ) and Parameter Estimation (PE) are key EES-16 capabilities.
Wildfire, Regional Climate, and Wind Energy
- Utilizing leadership-class parallel computers and advanced numerical methods, the HIGRAD/FIRETEC suite of codes enable detailed simulation of atmospheric dynamics and coupled atmospheric-wildfire interactions.
Other Critical Capabilities
- Geologic characterization and numerical mesh generation support subsurface flow projects.
- Electromagnetic Pulse (EMP) simulation supports critical weapons phenomenology programs
- Arctic hydrology and permafrost modeling, LDRD
- Characterization and remediation of the Nevada National Security Site Underground Test Area (UGTA)
- Characterization and remediation of the LANL-specific issues for Environmental Programs (EP)
- Fossil energy, CCUS (Carbon Capture Utilization and Storage), geothermal energy
- Modeling wildfire behavior in collaboration with national and international partners
- Underground repository science for nuclear waste disposal for the Used Fuel Disposition (UFD) Campaign