Collaborative Institutional Lead
The Ultrascale Visualization – Climate Data Analysis Tools (UV-CDAT) project is addressing the particular requirements and ultra-scale and comparative capabilities needed for access, analysis, and visualization of climate data sets for the Office of Biological and Environmental Research (BER). The project team includes researchers at three Department of Energy (DOE) laboratories (Los Alamos, Lawrence Livermore, and Oak Ridge National Laboratories), one university (Polytechnic Institute of New York University), and a private company (Kitware, Inc.). The group is developing the software and workflow applications needed to (1) integrate DOE's climate modeling and measurements archives; (2) develop infrastructure for national and international model/data comparisons; and (3) deploy a wide range of climate data visualization, diagnostic, and analysis tools with familiar interfaces for very large, high-resolution climate data sets to meet the growing demands of the user community. The tools address: Alternative statistics and analysis methods, Data intercomparison visualization, Optimized parallel input/output (I/O), Parallel visualization, Access to ultra-large climate data sets, Data provenance processing, Workflow data analysis and visualization, and Advanced parallel scientific visualization.
Tools will be made available on the Earth System Grid Federation.