CDAT Update
The Community Data Analysis Tools (xCDAT) is a feature rich set of various tools designed to support an array of data analysis and visualization applications. While supporting a wide set of applications, CDAT is also designed specifically to support the Earth System Grid Federation (ESGF) scientific community and provide specialized capabilities for accessing and performing various analysis and visualization operations on climate data. Some of the main packages included in CDAT are: CDMS (Community Data Management System) and VCS (Visualization Control System). CDMS is an object-oriented data management system specialized for organizing multidimensional, gridded data used in climate analysis and simulation. VCS provides 2D and 3D graphical plotting capabilities to the scientific community and allows wide-ranging changes to be made to the data display, provides for hardcopy output, and includes a means for recovery of a previous display.
The CDAT Team is happy to announce that CDAT 8.2.1 has been officially released!
This latest release contains important bug fixes and updates. The team encourages everyone to update to the latest version.
Installation instructions can be found at:
Documentation:
Many thanks to all the developers for the many hours spent on this update and to all of the friendly (and patient) beta users for helping the CDAT team.
Major changes in CDAT v8.2.1
The new release includes:
- Python 3.6, 3.7 and 3.8 are now fully supported
- Python 2 has been deprecated
- Improved and updated documentation
- All CDAT repositories’ build process updated to use conda-forge pinning
- Dependency updates for compatibility with the latest versions
- Major bug fixes and improvements to CDMS
- CDMS is built with the libnetcdf nompi variant.
- No more anonymous logging. Prompts asking to allow anonymous logging have been removed.
- VCDAT is no longer part of the CDAT build and is released separately. VCDAT will contain CDAT in its distribution.
- More changes!
Full details are available at: https://github.com/CDAT/xcdat/releases/tag/v8.2.1
See also: https://e3sm.org/resources/tools/analysis-tools/xcdat/
Funding
- DOE’s Office of Science, Biological and Environmental Research (BER), Earth and Environmental Systems Sciences Division (EESSD), Data Management Program
Contact
- Carlos Downie, Lawrence Livermore National Laboratory