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DOE OSTI · 1171171

The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data

Williams, Dean·Doutriaux, Charles·Patchett, John·Williams, Sean·Shipman, Galen·Miller, Ross·Steed, Chad·Krishnan, Harinarayan·Silva, Claudio·Chaudhary, Aashish·Bremer, Peer-Timo·Pugmire, David·Bethel, E. Wes·Childs, Hank·Prabhat, Mr.·Geveci, Berk·Bauer, Andrew·Pletzer, Alexander·Poco, Jorge·Ellqvist, Tommy·Santos, Emanuele·Potter, Gerald·Smith, Brian·Maxwell, Thomas·Kindig, David·Koop, David
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Abstract

To support interactive visualization and analysis of complex, large-scale climate data sets, UV-CDAT integrates a powerful set of scientific computing libraries and applications to foster more efficient knowledge discovery. Connected through a provenance framework, the UV-CDAT components can be loosely coupled for fast integration or tightly coupled for greater functionality and communication with other components. This framework addresses many challenges in the interactive visual analysis of distributed large-scale data for the climate community.

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97 MATHEMATICS AND COMPUTINGVisualization, climate analysis, visual analytics, provenance, workflow

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Williams, Dean, Doutriaux, Charles, Patchett, John, Williams, Sean, Shipman, Galen, Miller, Ross, Steed, Chad, Krishnan, Harinarayan, Silva, Claudio, Chaudhary, Aashish, Bremer, Peer-Timo, Pugmire, David, Bethel, E. Wes, Childs, Hank, Prabhat, Mr., Geveci, Berk, Bauer, Andrew, Pletzer, Alexander, Poco, Jorge, Ellqvist, Tommy, Santos, Emanuele, Potter, Gerald, Smith, Brian, Maxwell, Thomas, Kindig, David, Koop, David. 2013-05-01. The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data. https://www.osti.gov/biblio/1171171

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