Applying Computationally Efficient Schemes for BioGeochemical Cycles (ACES4BGC)

Lead Investigator: 
Participating Staff: 
Richard T. Mills
Collaborators: 
Argonne National Laboratory, Los Alamos National Laboratory, Lawrence Livermore National Laboratory, Sandia National Laboratory, National Center for Atmospheric Research
Sponsors: 
SciDAC Program, Biological and Environmental Research, Office of Science, DOE

The ACES4BGC Project seeks to advance the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty - aerosols and biospheric feedbacks - with a highly efficient computational approach. The resulting upgrades to the Community Earth System Model (CESM) will deliver new scientific capabilities, offer unprecedented accuracy in representing biogeochemical interactions, and yield improved predictive skill and computational performance. Specifically, ACES4BGC will (i) develop and deploy a new tracer advection scheme supporting thousands of reactive and non-reactive chemical species and particles in atmosphere and ocean models; (ii) develop a new reactive transport scheme for land surface and sub-surface water and nutrients; (iii) implement new emission schemes for organic compounds, bioparticles, ammonia and other aerosol precursors from the ocean and land models; (iv) design and test new methods for multi-phase aerosol chemistry in the atmosphere model including formation and aging of organic aerosols; and (v) utilize advanced uncertainty quantification (UQ) techniques for parameter sensitivity testing and comparison with observational data sets.

ACES4BGC partners modelers with decades of cumulative research experience and a team of computer and computational scientist building scalable solvers and tools, developing advanced UQ methods, and applying technologies for performance optimization through U.S. DOE SciDAC Institutes.

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