Parallel computing at the NASA Data Assimilation Office (DAO)

  • Authors:

  • P. M. Lyster;C. H. Q. Ding;K. Ekers;R. Ferraro;J. Guo;M. Harber;D. Lamich;J. W. Larson;R. Lucchesi;R. Rood;S. Schubert;W. Sawyer;M. Sienkiewicz;A. da Silva;J. Stobie;L. L. Takacs;R. Todling;J. Zero

  • Affiliations:

  • NASA/Goddard Space Flight Center, Greenbelt, MD and University of Maryland;NASA/Goddard Space Flight Center, Greenbelt, MD and Lawrence Berkeley National Laboratory;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and Jet Propulsion Laboratory;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and University of Maryland;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD;NASA/Goddard Space Flight Center, Greenbelt, MD;NASA/Goddard Space Flight Center, Greenbelt, MD and University of Maryland;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation;NASA/Goddard Space Flight Center, Greenbelt, MD and General Sciences Corporation

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

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Abstract

This presentation discusses the NASA data assimilation project at the Data Assimilation Office at the NASA/Goddard Space Flight Center. The goal is to produce accurate gridded datasets of atmospheric fields by assimilating a range of observations along with physically consistent model forecasts. This work produces datasets that are used by the climate research community. The data come from conventional sources that are used for weather forecasts (e.g., radiosondes, earth-surface measurements, and satellite temperature retrievals), as well as new sources such as satellites that will be launched under the Mission To Planet Earth Enterprise. An end-to-end Goddard Earth Observing System (GEOS) Data Assimilation System (DAS) currently supports stratospheric flight missions and reanalysis projects for NASA. The current Core of this system (Model, and Analysis) is a multitasking algorithm that runs on Cray J90 and C90 computers at Goddard and NASA Ames Research Center. Future Core computing will be carried out at Ames, with a new production system scheduled to be ready for the EOS AM-1 satellite launch in June of 1998. The DAO has acquired SGI Origin 2000 computers, with an aggregate of 160 processors in place at Ames, and more planned for the future. The DAO is currently updating the control scripts and programs, and implementing a modular Fortran 90 Core system. During 1998 the Core system will be migrated to distributed-memory software using the Message Passing Interface. Part of this work is being carried out under the NASA High Performance Computing and Communications Earth and Space Sciences program. The algorithmic and performance issues involved in Core system are the main subject of this presentation.