About CDAT

Wiki ▸ About CDAT

CDAT builds on the following key technologies:

Python and its ecosystem (e.g. NumPy, Matplotlib); Jupyter Notebooks and iPython; A toolset developed at LLNL for the analysis, visualization, and management of large-scale distributed climate data; VTK, the Visualization Toolkit, which is open source software for manipulating and displaying scientific data. These combined tools, along with others such as the R open-source statistical analysis and plotting software and custom packages (e.g. DV3D), form CDAT and provide a synergistic approach to climate modeling, allowing researchers to advance scientific visualization of large-scale climate data sets. The CDAT framework couples powerful software infrastructures through two primary means:

Tightly coupled integration of the CDAT Core with the VTK infrastructure to provide high-performance, parallel-streaming data analysis and visualization of massive climate-data sets (other tightly coupled tools include VCS, DV3D, and ESMF/ESMP); Loosely coupled integration to provide the flexibility of using tools quickly in the infrastructure such as ViSUS or R for data analysis and visualization as well as to apply customized data analysis applications within an integrated environment. Within both paradigms, CDAT will provide data-provenance capture and mechanisms to support data analysis.

CDAT is licensed under the BSD-3 license.

Specific Components

• Install - How to get CDAT up and running on your system
• Dashboard, Testing, and Validation - Resources for Administrators and Developers