Community Data Analysis Tools
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.circleci restore .circleci/config.yml to run for nightly run Jul 16, 2018
CMake Np11 (#2136) Oct 30, 2016
Packages only try to clean cache once May 17, 2017
contrib fix #1031 - Solve issues with quirky missing_value type Feb 12, 2015
deploy Add a vagrant option to open up ports for cdatwebs visualization server Mar 2, 2016
modules merged validatre nightly Jul 17, 2018
scripts merged validatre nightly Jul 17, 2018
testing Merge pull request #2154 from sankhesh/2072_export_patterns_as_vectors Feb 24, 2017
CMakeLists.txt A fork's master branch is of no interest Jul 10, 2015
Dockerfile Update docker build Mar 2, 2016


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Developed by partnering with ESGF and the community to create a larger problem-solving environment, CDAT is an open source, easy-to-use application that links together disparate software subsystems and packages to form an integrated environment for analysis and visualization. This project seeks to advance climate science by fulfilling computational and diagnostic/visualization capabilities needed for DOE's climate research.

Led by Lawrence Livermore National Laboratory (LLNL), the consortium consists of four DOE laboratories (Los Alamos, Lawrence Berkeley, LLNL, and Oak Ridge), two universities (University of Utah and the Polytechnic Institute of New York University), NASA, and two private companies (Kitware and tech-X) that will develop reusable software and workflow analysis and visualization applications for large-scale DOE climate modeling and measurements archives. The CDAT concept is simple and flexible enough to interchange parts to expand for future DOE activities.

Developing and Contributing

We'd love to get contributions from you! Please take a look at the Contribution Documents to see how to get your changes merged in.