Ees   Computational Earth Science   Feature
Computational Earth Science researchers developed FIRETEC, a R&D 100 award-winning physics-based wildfire model, which is utilized by prescribed burn managers to understand how complex interactions between factors like topography, wind, fuels, and surrounding atmosphere drive fire behavior.


Atmospheric Modeling

  • Researching microscale, mesoscale, and global scale atmospheric phenomena
  • Applying our acclaimed software to wildland and urban fire propagation
  • Computation to develop stronger, more efficient energy materials (e.g., wind turbines)
  • Simulating electromagnetic pulse (EMP) signatures to characterize lightning and security threats

Subsurface Flow and Transport Processes

  • Researching chemical interactions with time, the environment, and movement through soil, rock, and 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.

Nuclear Nonproliferation and Global Security.

  • Characterizing gas migration from subsurface nuclear explosions through the subsurface and atmosphere.
  • Designing and testing nuclear waste repositories.


Fossil Energy

  • Studying chemical and physical interactions to improve extraction efficiency, reduce water usage and reduce greenhouse gas emission.
  • Developing process models, infrastructure optimization models, and risk/performance assessment tools.

High Performance Computing: Subsurface Flow and Transport

  • Developing advanced computational methods to model flow and transport in porous and fractured geologic media and coupled thermal-hydrologic-chemical-mechanical processes.
  • Applying strong Uncertainty Quantification (UQ) and Parameter Estimation (PE) capabilities.

Wildfire, Regional Climate, and Wind Energy

  • Combining our world-class parallel computers, advanced numerical methods, and code suites to enable detailed simulation of atmospheric dynamics and coupled atmospheric-wildfire interactions.

Other Critical Capabilities

  • Geologic characterization and numerical mesh generation support subsurface flow projects.
  • EMP simulation supports critical weapons phenomenology programs.
  • Machine learning.
  • Quantum computing to support subsurface research.


  • Clean energy including fossil and wind.
  • 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.