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Parallel Computing at the NASA Data Assimilation Office (DAO)
, 1997
"... 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. Thi ..."
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Cited by 4 (1 self)
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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
Data Assimilation Office, NASA/GSFC
"... Using individual observations from the COADS Compressed Marine Reports (Slutz et al. 1985), we have computed revised global climatologies and anomalies of wind stress and heat fluxes. The flux computations utilize a revised Beaufort equivalent scale for estimated wind speeds, use wind speed reduced ..."
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Using individual observations from the COADS Compressed Marine Reports (Slutz et al. 1985), we have computed revised global climatologies and anomalies of wind stress and heat fluxes. The flux computations utilize a revised Beaufort equivalent scale for estimated wind speeds, use wind speed reduced
Atmospheric Data Assimilation on DistributedMemory Parallel Supercomputers
"... . Atmospheric data such as temperature, moisture, winds, etc., collected by satellites and direct measuements from upperair instruments, ground observation stations provide only partial information about the atmosphere. They are assimilated to numerical forecasts to provide a coherent, evolving ..."
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state of the global atmosphere. The data analysis system, the Physicalspace Statistical Analysis System (PSAS) developed at the Data Assimilation Office at NASA's Goddard Space Flight Center, requires computing resources far beyond the capabilities of even the stateoftheart vector
The Computational Complexity and Parallel Scalability of Atmospheric Data Assimilation Algorithms
"... ABSTRACT This paper quantifies the computational complexity and parallel scalability of two algorithms for fourdimensional data assimilation (4DDA) at NASA's Global Modeling and Assimilation Office (GMAO). The first, the Goddard Earth Observing System Data Assimilation System (GEOS DAS), uses ..."
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ABSTRACT This paper quantifies the computational complexity and parallel scalability of two algorithms for fourdimensional data assimilation (4DDA) at NASA's Global Modeling and Assimilation Office (GMAO). The first, the Goddard Earth Observing System Data Assimilation System (GEOS DAS
FourDimensional Data Assimilation: Parallelization of an Optimal Interpolation Algorithm
"... An interface for a parallel and optimized version of the sequential Optimal Interpolation algorithm is developed. At the NASA Goddard Space Flight Center's Data Assimilation Office, fourdimensional data assimilation is conducted using a regional optimal interpolation algorithm to obtain a data ..."
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An interface for a parallel and optimized version of the sequential Optimal Interpolation algorithm is developed. At the NASA Goddard Space Flight Center's Data Assimilation Office, fourdimensional data assimilation is conducted using a regional optimal interpolation algorithm to obtain a
Complexity Computational Environment: Data Assimilation
"... to demonstrate the assimilation of multiple distributed data sources (a typical data grid problem) into a major parallel highperformance computing earthquake forecasting code. Such a linkage of Geoinformatics with Geocomplexity demonstrates the value of the Solid Earth Research Virtual Observatory ..."
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to demonstrate the assimilation of multiple distributed data sources (a typical data grid problem) into a major parallel highperformance computing earthquake forecasting code. Such a linkage of Geoinformatics with Geocomplexity demonstrates the value of the Solid Earth Research Virtual Observatory
The Computational Complexity of Atmospheric Data Assimilation
, 1998
"... The computational complexity involved in Four Dimensional Data Assimilation (4DDA) for climate research is discussed. The general problem is that of assimilating observations that are inhomogeneously placed in space and time into a dynamical model. NASA's Data Assimilation Office (DAO) is devel ..."
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Cited by 5 (4 self)
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The computational complexity involved in Four Dimensional Data Assimilation (4DDA) for climate research is discussed. The general problem is that of assimilating observations that are inhomogeneously placed in space and time into a dynamical model. NASA's Data Assimilation Office (DAO
Design of the Goddard Earth Observing System (GEOS) Parallel . . .
, 1997
"... The Physicalspace Statistical Analysis System (PSAS) comprises the core analysis scheme for the Goddard Earth Observing System (GEOS) atmospheric data assimilation system. The Data Assimilation Office (DAO) of the National Aeronautics and Space Administration (NASA) developed both GEOS and PSAS, an ..."
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/Goddard Space Flight Center Data Assimilation Office (DAO) on September 30 to October 4, and October 28 to November 1, 1996. The purposed of these workshops was to review the requirements for the developmental parallel Physicalspace Statistical Analysis System (PSAS) and to lay the groundwork
Climate Data Assimilation on a Massively Parallel Supercomputer Chris H.Q. Ding and Robert D. Ferraro Jet Propulsion Laboratory
"... We have designed and implemented a set of highly efficient and highly scalable algorithms for an unstructured computational package, the PSAS data assimilation package, as demonstrated by detailed performance analysis of systematic runs on up to 512nodes of an Intel Paragon. The preconditioned Conj ..."
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Conjugate Gradient solver achieves a sustained 18 Gflops performance. Consequently, we achieve an unprecedented 100fold reduction in time to solution on the Intel Paragon over a single head of a Cray C90. This not only exceeds the daily performance requirement of the Data Assimilation Office at NASA
of Energy (DOE), the National Institute for Global Environmental Change (NIGEC), and NASA.
"... (MODIS) sensor has provided near realtime estimates of gross primary production (GPP) since March 2000. We compare four years (2000 to 2003) of satellitebased calculations of GPP with tower eddy CO2 fluxbased estimates across diverse land cover types and climate regimes. We examine the potential ..."
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error contributions from meteorology, leaf area index (LAI)/fPAR, and land cover. The error between annual GPP computed from NASA’s Data Assimilation Office’s (DAO) and towerbased meteorology is 28%, indicating that NASA’s DAO global meteorology plays an important role in the accuracy of the GPP
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