Weather forecasting on parallel architectures

Global forecasting at the National Meteorological Center is performed using a spherical harmonics spectral model. The model is used in global data assimilation, and in the aviation and medium range forecast production suites. In this presentation, the major numerical and physical aspects of the mode...

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Veröffentlicht in:Parallel computing Jg. 21; H. 10; S. 1639 - 1654
1. Verfasser: Sela, J.G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 1995
Schlagworte:
Atmospheric general circulation modeling
Aviation
Computer architecture
Distributed computer systems
Harmonic analysis
Mathematical models
Numerical methods
Parallel processing systems
Q1
Shared-memory parallel computing, Message passing
Spectral transform
Spectrum analysis
Weather forecasting
Weather prediction
Spectral transform
Shared-memory parallel computing, Message passing
Weather prediction
Atmospheric general circulation modeling
ISSN:0167-8191, 1872-7336
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Beschreibung
Zusammenfassung:Global forecasting at the National Meteorological Center is performed using a spherical harmonics spectral model. The model is used in global data assimilation, and in the aviation and medium range forecast production suites. In this presentation, the major numerical and physical aspects of the model are highlighted, and parallelization considerations are analyzed and applied to three parallel computer architectures. The first parallelization is on a parallel vector processor shared memory platform such as Cray YMP or C90. The other two are on distributed memory platforms: a data parallel implementation on Connection Machines and a single program multiple data (SPMD) adaptation to a Cray T3D machine.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0167-8191
1872-7336
DOI:10.1016/0167-8191(95)00039-1