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

Journal Article · · IEEE Computer
OSTI ID:1171171
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  5. NYU Polytechnic School of Engineering, New York, NY (United States)
  6. Kitware, Inc., Clifton Park, NY (United States)
  7. Tech-X Corp., Boulder, CO (United States)
  8. Federal Univ. of Ceara, Fortaleza (Brazil)
  9. NASA Johnson Space Center, Houston, TX (United States)

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.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1171171
Report Number(s):
LBNL-6278E
Journal Information:
IEEE Computer, Related Information: Journal Publication Date: May 2013
Country of Publication:
United States
Language:
English

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