@InProceedings{lyster:geos-das,
  author = {P.M. Lyster and K. Ekers and J. Guo and M. Harber and D. Lamich and
  J.W. Larson and R. Lucchesi and R. Rood and S. Schubert and W. Sawyer and M.
  Sienkiewicz and A. da Silva and J. Stobie and L.L. Takacs and R. Todling and
  J. Zero},
  title = {Parallel Computing at the {NASA} Data Assimilation Office ({DAO})},
  booktitle = {Proceedings of SC97: High Performance Networking and Computing},
  year = {1997},
  month = {November},
  publisher = {IEEE Computer Society Press},
  address = {San Jose, CA},
  URL = {http://dao.gsfc.nasa.gov/DAO_people/lys/sc97/sc97/INDEX.HTML},
  keywords = {parallel I/O, pario-bib},
  comment = {This paper is about a NASA project GEOS-DAS (Goddard Earth
  Observing System-Data Assimilation System). The goal of the project is to
  produce ''accurate gridded datasets of atmospheric fields''. The data will be
  used by meteorologists for weather analysis and forecasts as well as being a
  tool for climate research. This paper discusses their plans to parallelize
  the core code of the system. They include a section on parallel I/O.}
}