FOAM: expanding the horizons of climate modeling

  • Authors:
  • Michael Tobis;Chad Schafer;Ian Foster;Robert Jacob;John Anderson

  • Affiliations:
  • MCS/221 Argonne National Laboratory, Argonne IL;MCS/221 Argonne National Laboratory, Argonne IL;MCS/221 Argonne National Laboratory, Argonne IL and University of Chicago;University of Wisonsin - Madison, Madison WI;University of Wisonsin - Madison, Madison WI

  • Venue:
  • SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
  • Year:
  • 1997

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Abstract

We report here on a project that expands the applicability of dynamic climate modeling to very long time scales. The Fast Ocean_Atmosphere Model (FOAM) is a coupled ocean-atmosphere model that incorporates physics of interest in understanding decade to century time scale variability. It addresses the high computational cost of this endeavor with a combination of improved ocean model formulation, low atmosphere resolution, and efficient coupling. It also uses message-passing parallel processing techniques, allowing for the use of cost-effective distributed memory platforms. The resulting model runs over 6000 times faster than real time with good fidelity and has yielded significant results.