@InProceedings{tobis:foam,
  author = {Michael Tobis and Chad Schafer and Ian Foster and Robert Jacob and
  John Anderson},
  title = {{FOAM}: Expanding the Horizons of Climate Modeling},
  booktitle = {Proceedings of SC97: High Performance Networking and Computing},
  year = {1997},
  month = {November},
  publisher = {IEEE Computer Society Press},
  URL = {http://doi.acm.org/10.1145/509593.509620},
  keywords = {parallel I/O, scientific application, pario-bib},
  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.},
  comment = {This paper is about the Fast Ocean-Atmosphere Model (FOAM), a
  climate model that uses ''a combination of new model formulation and parallel
  computing to expand the time horizon that may be addressed by explicit fluid
  dynamical representations of the climate system.'' Their model uses message
  passing on massively parallel distributed-memory computer systems. They are
  in the process of investigating using parallel I/O to further increase their
  efficiency.}
}