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Parallel Climate Data Assimilation PSAS Package Achieves 18 GFLOPs on 512-Node Intel ParagonSeveral algorithms were added to the Physical-space Statistical Analysis System (PSAS) from Goddard, which assimilates observational weather data by correcting for different levels of uncertainty about the data and different locations for mobile observation platforms. The new algorithms and use of the 512-node Intel Paragon allowed a hundred-fold decrease in processing time.
Document ID
20060037572
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other
External Source(s)
Authors
Ding, H. Q.
Chan, C.
Gennery, D. B.
Ferraro, R. D.
Date Acquired
August 23, 2013
Publication Date
January 1, 1995
Publication Information
Publication: California Inst. Concurrent Supercomputing Consortium Annual Report
Subject Category
Meteorology And Climatology
Distribution Limits
Public
Copyright
Other
Keywords
weather prediction climate modeling data assimilation Paragon supercomputing
Kalman filter solver

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