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Ultrascale Visualization of Climate DataFueled by exponential increases in the computational and storage capabilities of high-performance computing platforms, climate simulations are evolving toward higher numerical fidelity, complexity, volume, and dimensionality. These technological breakthroughs are coming at a time of exponential growth in climate data, with estimates of hundreds of exabytes by 2020. To meet the challenges and exploit the opportunities that such explosive growth affords, a consortium of four national laboratories, two universities, a government agency, and two private companies formed to explore the next wave in climate science. Working in close collaboration with domain experts, the Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) project aims to provide high-level solutions to a variety of climate data analysis and visualization problems.
Document ID
20150001292
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Williams, Dean N.
(Lawrence Livermore National Lab. Livermore, CA, United States)
Bremer, Timo
(Lawrence Livermore National Lab. Livermore, CA, United States)
Doutriaux, Charles
(Lawrence Livermore National Lab. Livermore, CA, United States)
Patchett, John
(Los Alamos National Lab. NM, United States)
Williams, Sean
(Los Alamos National Lab. NM, United States)
Shipman, Galen
(Oak Ridge National Lab. TN, United States)
Miller, Ross
(Oak Ridge National Lab. TN, United States)
Pugmire, David R.
(Oak Ridge National Lab. TN, United States)
Smith, Brian
(Oak Ridge National Lab. TN, United States)
Steed, Chad
(Oak Ridge National Lab. TN, United States)
Bethel, E. Wes
(California Univ., Lawrence Berkeley National Lab. Berkeley, CA, United States)
Childs, Hank
(California Univ., Lawrence Berkeley National Lab. Berkeley, CA, United States)
Krishnan, Harinarayan
(California Univ., Lawrence Berkeley National Lab. Berkeley, CA, United States)
Prabhat
(California Univ., Lawrence Berkeley National Lab. Berkeley, CA, United States)
Wehner, Michael
(California Univ., Lawrence Berkeley National Lab. Berkeley, CA, United States)
Silva, Claudio T.
(Polytechnic Inst. of New York Brooklyn, NY, United States)
Santos, Emanuele
(Polytechnic Inst. of New York Brooklyn, NY, United States)
Koop, David
(Polytechnic Inst. of New York Brooklyn, NY, United States)
Ellqvist, Tommy
(Polytechnic Inst. of New York Brooklyn, NY, United States)
Poco, Jorge
(Polytechnic Inst. of New York Brooklyn, NY, United States)
Gevecki, Berk
(Kitware, Inc. Clifton Park, NY, United States)
Chaudhary, Aashish
(Kitware, Inc. Clifton Park, NY, United States)
Bauer, Andy
(Kitware, Inc. Clifton Park, NY, United States)
Potter, Gerald L.
(Universities Space Research Association Greenbelt, MD, United States)
Maxwell, Thomas P.
(Computer Sciences Corp. Greenbelt, MD, United States)
Date Acquired
February 3, 2015
Publication Date
March 27, 2013
Publication Information
Publication: IEEE Computer Magazine
Publisher: IEEE Computer Society
Volume: 46
Issue: 9
Subject Category
Meteorology And Climatology
Computer Programming And Software
Numerical Analysis
Report/Patent Number
GSFC-E-DAA-TN11204
Funding Number(s)
CONTRACT_GRANT: DE-AC52-07NA27344
CONTRACT_GRANT: DE-AC05-00OR22725
CONTRACT_GRANT: NNG13HQ01C
CONTRACT_GRANT: NNG11HP16A
CONTRACT_GRANT: DE-AC02-05CH11231
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
analysis tools
ultrascale visualization
climate data
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