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Jeremy A. Sauer

Email
Phone (505) 606-2286

Capabilities

  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Coupled multi-physics simulations
  • Mathematics
  • Algorithms
  • Computational fluid dynamics (CFD)
  • Partial differential equations
  • Monte Carlo methods
  • Direct numerical simulations of fluid turbulence
  • Computational fluid dynamics applications on advanced architectures
  • Arbitrary Eulerian Lagrangian (ALE) approach
  • Applied Math
  • Deterministic Transport
  • Mesh generation
  • Direct Numerical Simulations (DNS)
  • Adaptive mesh refinement (AMR)
  • Computer and Computational Sciences
  • High performance computing
  • Roadrunner
  • Graphical processing unit (GPU)
  • Petascale
  • Hybrid architecture
  • High Performance Storage System (HPSS)
  • Multicore
  • Heterogeneous Architectures
  • Accelerated architecture
  • Earth and Space Sciences
  • Geophysics
  • Remote sensing
  • Atmospheric chemistry
  • Computer and Computational Sciences
  • Machine learning,
  • Earth and Space Sciences
  • Climate modeling
  • Aerosols
  • Field studies and process experiments
  • Ecosystem dynamics

Expertise

  • Computational fluid dynamics: Large Eddy Simulation, Direct Numerical Simulation, Turbulence, Multiphase and Reactive Flows
  • Numerical solutions to systems of nonlinear partial differential equations in Geophysics
  • Atmosphere and Ocean Dynamics
  • Coupled atmospheric-near surface phenomena modeling, advection, diffusion, turbulent mixing, combustion, radiation, convection, frictional drag of vegetation, dispersion
  • Large-scale simulation data storage, analysis, visualization, quantitative post-processing techniques
  • Numerical schemes: Explicit/Implicit temporal integration, Finite Differences, Finite Volume, Spectral/pseudo-Spectral methods, Monte Carlo techniques, etc.
  • High Performance Computing: Massively parallel processing with MPI, OpenMP, HPF, OpenCL, OpenACC, etc.
  • Heterogenous/hybrid architectures (Cell Broadband Engine, GPGPU, MIC, etc.)
  • Scientific software design, implementation, validation and application
  • High-level programming languages, Fortran, C, Perl, Python, Java, Matlab
  • Observational data analysis (particularly atmospheric measurement instrumentation)

Education

PhD.,   Geophysical Fluid Dynamics, Florida State University, U.S.A., (2013)

Dissertation: “Towards Improved Capability and Confidence in Coupled Atmospheric and Wildfire Modeling

M.S.,    Computer Science, University of Montana, U.S.A., 2005

Thesis: “Finite Element vs. Pseudo-Spectral Approach to Solving Incompressible Navier-Stokes in Two Dimensions

B.A.,    Physics/Computer Science, University of Montana, U.S.A., 2002

 

LANL Positions

2014.6 – Present: Postdoctoral Researcher, Computational Earth Sciences Group (EES-16) at Los Alamos National Laboratory (Mentor: Keeley R. Costigan)

2005.10 – 2014.6:  Graduate Research Assistant, Computational Earth Sciences Group (EES-16) at Los Alamos National Laboratory (Mentor: Rodman R. Linn)

 

Publications

[Canfield, J. M. * Linn, R. R. * Sauer, J. A. * Finney, M. * Forthofer, Jason], "A numerical investigation of the interplay between fireline length, geometry, and rate of spread", AGRICULTURAL AND FOREST METEOROLOGY, Vol.189, p.48-59, JUN 1 2014.