The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) [electronic resource] : Data Analysis and Visualization for Geoscience Data.

Visualization, Climate Analysis, Visual Analytics, Provenance, Workflow.

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Bibliographic Details
Online Access: Online Access
Main Authors: Smith, Brian (Author), Silva, Claudio (Author), Childs, Hank (Author), Miller, Ross (Author), Geveci, Berk (Author), Williams, Dean (Author), Bremer, Peer-Timo (Author), Pugmire, David (Author), Koop, David (Author), Bethel, E. Wes (Author), Shipman, Galen (Author), Williams, Sean (Author), Patchett, John (Author), Santos, Emanuele (Author), Poco, Jorge (Author), Pletzer, Alexander (Author), Doutriaux, Charles (Author), Krishnan, Harinarayan (Author), Chaudhary, Aashish (Author), Ellqvist, Tommy (Author), Potter, Gerald (Author), Prabhat, Mr. (Author), Steed, Chad (Author), Bauer, Andrew (Author), Maxwell, Thomas (Author), Kindig, David (Author)
Corporate Author: Lawrence Berkeley National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2013.
Subjects:

MARC

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500 |a Smith, Brian; Silva, Claudio; Childs, Hank; Miller, Ross; Geveci, Berk; Williams, Dean; Bremer, Peer-Timo; Pugmire, David; Koop, David; Bethel, E. Wes; Shipman, Galen; Williams, Sean; Patchett, John; Santos, Emanuele; Poco, Jorge; Pletzer, Alexander; Doutriaux, Charles; Krishnan, Harinarayan; Chaudhary, Aashish; Ellqvist, Tommy; Potter, Gerald; Prabhat, Mr.; Steed, Chad; Bauer, Andrew; Maxwell, Thomas; Kindig, David. 
520 3 |a 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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700 1 |a Silva, Claudio  |4 aut. 
700 1 |a Childs, Hank  |4 aut. 
700 1 |a Miller, Ross  |4 aut. 
700 1 |a Geveci, Berk  |4 aut. 
700 1 |a Williams, Dean  |4 aut. 
700 1 |a Bremer, Peer-Timo  |4 aut. 
700 1 |a Pugmire, David  |4 aut. 
700 1 |a Koop, David  |4 aut. 
700 1 |a Bethel, E. Wes  |4 aut. 
700 1 |a Shipman, Galen  |4 aut. 
700 1 |a Williams, Sean  |4 aut. 
700 1 |a Patchett, John  |4 aut. 
700 1 |a Santos, Emanuele  |4 aut. 
700 1 |a Poco, Jorge  |4 aut. 
700 1 |a Pletzer, Alexander  |4 aut. 
700 1 |a Doutriaux, Charles  |4 aut. 
700 1 |a Krishnan, Harinarayan  |4 aut. 
700 1 |a Chaudhary, Aashish  |4 aut. 
700 1 |a Ellqvist, Tommy  |4 aut. 
700 1 |a Potter, Gerald  |4 aut. 
700 1 |a Prabhat, Mr.  |4 aut. 
700 1 |a Steed, Chad  |4 aut. 
700 1 |a Bauer, Andrew  |4 aut. 
700 1 |a Maxwell, Thomas  |4 aut. 
700 1 |a Kindig, David  |4 aut. 
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