Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)

Williams, Dean N.; Silva, Claudio

doi:10.2172/1328687

Title: Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)

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Abstract

For the past three years, a large analysis and visualization effort—funded by the Department of Energy’s Office of Biological and Environmental Research (BER), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA)—has brought together a wide variety of industry-standard scientific computing libraries and applications to create Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) to serve the global climate simulation and observational research communities. To support interactive analysis and visualization, all components connect through a provenance application–programming interface to capture meaningful history and workflow. Components can be loosely coupled into the framework for fast integration or tightly coupled for greater system functionality and communication with other components. The overarching goal of UV-CDAT is to provide a new paradigm for access to and analysis of massive, distributed scientific data collections by leveraging distributed data architectures located throughout the world. The UV-CDAT framework addresses challenges in analysis and visualization and incorporates new opportunities, including parallelism for better efficiency, higher speed, and more accurate scientific inferences. Today, it provides more than 600 users access to more analysis and visualization products than any other single source.

Authors:

Williams, Dean N. ^[1]; Silva, Claudio ^[2]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
New York Univ. (NYU), NY (United States). Computer Science and Engineering Dept.

Publication Date:: Mon Sep 30 00:00:00 EDT 2013

Research Org.:: New York Univ. (NYU), NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Contributing Org.:: Kitware, Inc., Clifton Park, NY (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Tech-X Corporation, Boulder, CO (United States)

OSTI Identifier:: 1328687

Report Number(s):: LLNL-TR-643624

DOE Contract Number:: SC0006872

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; Climate Science Visualization

Citation Formats


                    Williams, Dean N., and Silva, Claudio. Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT).  United States: N. p., 2013. 
        Web.  doi:10.2172/1328687.

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                    Williams, Dean N., & Silva, Claudio. Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT).  United States.  https://doi.org/10.2172/1328687

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                    Williams, Dean N., and Silva, Claudio. 2013.  
        "Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)".  United States.  https://doi.org/10.2172/1328687.  https://www.osti.gov/servlets/purl/1328687.

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@article{osti_1328687,

  title        = {Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)},

  author       = {Williams, Dean N. and Silva, Claudio},

  abstractNote = {For the past three years, a large analysis and visualization effort—funded by the Department of Energy’s Office of Biological and Environmental Research (BER), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA)—has brought together a wide variety of industry-standard scientific computing libraries and applications to create Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) to serve the global climate simulation and observational research communities. To support interactive analysis and visualization, all components connect through a provenance application–programming interface to capture meaningful history and workflow. Components can be loosely coupled into the framework for fast integration or tightly coupled for greater system functionality and communication with other components. The overarching goal of UV-CDAT is to provide a new paradigm for access to and analysis of massive, distributed scientific data collections by leveraging distributed data architectures located throughout the world. The UV-CDAT framework addresses challenges in analysis and visualization and incorporates new opportunities, including parallelism for better efficiency, higher speed, and more accurate scientific inferences. Today, it provides more than 600 users access to more analysis and visualization products than any other single source.},

  doi          = {10.2172/1328687},

  url          = {https://www.osti.gov/biblio/1328687},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Sep 30 00:00:00 EDT 2013},

  month        = {Mon Sep 30 00:00:00 EDT 2013}

}

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