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Issue No.09 - September (2013 vol.46)
pp: 68-76
Dean N. Williams , Lawrence Livermore National Laboratory
Timo Bremer , Lawrence Livermore National Laboratory
Charles Doutriaux , Lawrence Livermore National Laboratory
John Patchett , Los Alamos National Laboratory
Sean Williams , Los Alamos National Laboratory
Galen Shipman , Oak Ridge National Laboratory
Ross Miller , Oak Ridge National Laboratory
David R. Pugmire , Oak Ridge National Laboratory
Brian Smith , Oak Ridge National Laboratory
Chad Steed , Oak Ridge National Laboratory
E. Wes Bethel , Berkeley National Laboratory
Hank Childs , Berkeley National Laboratory
Harinarayan Krishnan , Berkeley National Laboratory
Prabhat Prabhat , Berkeley National Laboratory
Michael Wehner , Berkeley National Laboratory
Claudio T. Silva , Polytechnic Institute of New York University
Emanuele Santos , Polytechnic Institute of New York University
David Koop , Polytechnic Institute of New York University
Tommy Ellqvist , Polytechnic Institute of New York University
Jorge Poco , Polytechnic Institute of New York University
Berk Geveci , Kitware
Andy Bauer , Kitware
Dave Kindig , Tech-X
Gerald L. Potter , NASA Goddard Space Flight Center
Thomas P. Maxwell , NASA Goddard Space Flight Center
ABSTRACT
Collaboration across research, government, academic, and private sectors is integrating more than 70 scientific computing libraries and applications through a tailorable provenance framework, empowering scientists to exchange and examine data in novel ways.
INDEX TERMS
Data visualization, Meteorology, Data analysis, Data models, Atmospheric measurements, Numerical models,collaborative research, visualization, climate analysis, visual analytics, provenance networks
CITATION
Dean N. Williams, Timo Bremer, Charles Doutriaux, John Patchett, Sean Williams, Galen Shipman, Ross Miller, David R. Pugmire, Brian Smith, Chad Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat Prabhat, Michael Wehner, Claudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald L. Potter, Thomas P. Maxwell, "Ultrascale Visualization of Climate Data", Computer, vol.46, no. 9, pp. 68-76, September 2013, doi:10.1109/MC.2013.119
REFERENCES
1. J.T. Overpeck et al., “Climate Data Challenges in the 21st Century,” Science, vol. 331, no. 6018, 2011, pp. 700-702; doi: 10.1126/science.1197869.
2. J. Freire et al., “VisTrails: The Architecture of Open Source Applications,” 2012; www.aosabook.org/envistrails.html.
3. J. Ahrens,B. Geveci,, and C. Law,“ParaView: An End-User Tool for Large Data Visualization,” Energy, vol. 836, 2005, pp. 717-732.
4. R. Drach,P. Dubois,, and D. Williams,“Climate Data Management System, Version 5.0,” 2007; www2-pcmdi.llnl.gov/cdat/manualscdms5.pdf .
5. C. Steed et al., “Practical Application of Parallel Coordinates for Climate Model Analysis,” Proc. Int’l Conf. Computational Science (ICCS 12), Elsevier, 2012, pp. 877-886.
6. K. Martin and B. Hoffman,Mastering CMake, 4th ed., Kitware, 2008.
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