Parallel Computing at the NASA Data Assimilation Office (DAO)

Author

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

Author_Institution

NASA/Goddard Space Flight Center

fYear

1997

fDate

15-21 Nov. 1997

Firstpage

26

Lastpage

26

Abstract

The goal of atmospheric data assimilation is to produce accurate gridded datasets of fields by assimilating a range of observations along with physically consistent model forecasts. The NASA Data Assimilation Office (DAO) is currently upgrading its end-to-end data assimilation system (GEOS DAS) to support NASA´s Mission To Planet Earth (MTPE) Enterprise. This effort is also part of a NASA HPCC Earth and Space Sciences (ESS) Grand Challenge PI project. Future Core computing, using a modular Fortran 90 design and distributed memory (MPI) software, will be carried out at Ames Research Center. The algorithmic and performance issues involved in the Core system are the main subjects of this presentation.

Keywords

Atmospheric modeling; Data assimilation; Distributed computing; Earth; Electronic switching systems; Geoscience; NASA; Parallel processing; Planets; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Supercomputing, ACM/IEEE 1997 Conference

Print_ISBN

0-89791-985-8

Type

conf

DOI

10.1109/SC.1997.10029

Filename

1592607