![]() ![]() 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. Components can be loosely coupled into the framework for fast integration more » or tightly coupled for greater system functionality and communication with other components. To support interactive analysis and visualization, all components connect through a provenance application–programming interface to capture meaningful history and workflow. = ,įor 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. ![]() The UV-CDAT team will address the following high-level visualization requirements: (1) Alternative parallel streaming statistics and analysis pipelines - Data parallelism, Task parallelism, Visualization parallelism (2) Optimized parallel input/output (I/O) (3) Remote interactive execution (4) Advanced intercomparison visualization (5) Data provenance processing and capture and (6) Interfaces for scientists - Workflow data analysis and visualization construction tools, and Visualization interfaces. Members of this consortium already collaborate with other institutions and universities in researching data discovery, management, visualization, workflow analysis, and provenance. Working directly with BER climate science analysis projects, this consortium will develop and deploy data and computational resources useful to a wide variety of stakeholders, including scientists, policymakers, and the general public. All work is accomplished under DOE open-source guidelines and in close collaboration with the project's stakeholders, domain researchers, and more » scientists. The UV-CDAT team consists of researchers and scientists with diverse domain knowledge whose home institutions also include the National Aeronautics and Space Administration (NASA) and the University of Utah. Williams of Lawrence Livermore National Laboratory (LLNL) Dave Bader and Galen Shipman of Oak Ridge National Laboratory (ORNL) Phil Jones and James Ahrens of Los Alamos National Laboratory (LANL), Claudio Silva of Polytechnic Institute of New York University (NYU-Poly) and Berk Geveci of Kitware, Inc. The UV-CDAT executive committee consists of Dean N. This report will be forwarded to the program manager for the Department of Energy (DOE) Office of Biological and Environmental Research (BER), national and international collaborators and stakeholders, and to researchers working on a wide range of other climate model, reanalysis, and observation evaluation activities. ![]() To learn more about our project, please visit our UV-CDAT website (URL: ). It discusses highlights, overall progress, period goals, and collaborations and lists papers and presentations. This report summarizes work carried out by the Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) Team for the period of Januthrough June 30, 2011.
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