CDAT is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for data analysis problems.
New here? Don’t worry! We’ll help you get started. If you’re interested in what you can do with CDAT, you can take a look at our gallery. If you’re interested in anything you see there, you can look into getting our application installed. Once CDAT has been installed, check out our Getting Started guide.
Having trouble with something? We’ve got a great community of people who can give you a hand on our support email list.
If you want to get to know us, you can come chat with us on our developer mail list. If you want to get up to speed with the project, our wiki is kept up-to-date with what you need to get going.
CDAT builds on the following key technologies:
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:
Within both paradigms, CDAT will provide data-provenance capture and mechanisms to support data analysis.
CDAT is licensed under the BSD-3 license.