September 2013

Journal

The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data

By:
Williams, Dean; Bremer, Peer-Timo; Doutriaux, Charles; Patchett, John; Williams, Sean; Shipman, Galen M; Miller, Ross G; Pugmire, David R; Smith, Brian E; Steed, Chad A; Bethel, E; Childs, Hank; Krishnan, Harinarayan; Silva, Claudio; Santos, Emanuele; Koop, David; Ellqvist, Tommy; Poco, Jorge; Geveci, Berk; Chaudhary, Aashish; Bauer, Andy; Pletzer, Alexander; Kindig, Dave; Potter, Gerald; Maxwell, Thomas
Journal Name:
Computer
Page Number:
68-76
Volume:
46
Issue Number:
9
Publication Date:
September 2013

Abstract

To support interactive visualization and analysis of complex, large-scale climate data sets, UV-CDAT integrates a powerful set of scientific computing libraries and applications to foster more efficient knowledge discovery. Connected through a provenance framework, the UV-CDAT components can be loosely coupled for fast integration or tightly coupled for greater functionality and communication with other components. This framework addresses many challenges in the interactive visual analysis of distributed large-scale data for the climate community.