UV-CDAT is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.
Dean N. Williams, Charles Doutriaux, Sam Fries, Dan Lipsa, Jeffrey Painter, James McEnerney, Aashish Chaudhary, Sankhesh Jhaveri, Thomas Maxwell, Paul J. Durack, Denis Nadeau, Jonathan Beezley, Matthew Harris, Bryce Sampson (2016). uvcdat v2.4.1. Zenodo. 10.5281/zenodo.50101
December 7 - 11, 2015
Thank you for participating in the ESGF Conference.
New here? Don’t worry! We’ll help you get started. If you’re interested in what you can do with UV-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.
Having trouble with something? We’ve got a great community of people who can give you a hand on our support email list.
UV-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. vtDV3D), form UV-CDAT and provide a synergistic approach to climate modeling, allowing researchers to advance scientific visualization of large-scale climate data sets. The UV-CDAT framework couples powerful software infrastructures through two primary means:
Within both paradigms, UV-CDAT will provide data-provenance capture and mechanisms to support data analysis via the VisTrails infrastructure.