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2004 Denver Annual Meeting (November 7–10, 2004)

Paper No. 11
Presentation Time: 4:00 PM

EMERGING COMPUTING TECHNOLOGIES FOR DATA-INTENSIVE GEOSCIENCE RESEARCH AND EDUCATION


LEIGH, Jason1, MORIN, Paul2, DAVIS, Brian3, DEFANTI, Thomas1, ITO, Emi2, JOHNSON, Andrew4, ORCUTT, John5, RACK, Frank6, RENAMBOT, Luc4 and THORLEIFSON, Harvey7, (1)Electronic Visualization Laboratory, Univ of Illinois, Chicago, Chicago, IL 60607, (2)Department of Geology and Geophysics, Univ of Minnesota, 310 Pillsbury Drive SE, Minneapolis, MN 55455-0219, (3)Eros Data Center, United States Geol Survey, (4)Electronic Visualization Laboratory and the Dept. of Computer Science, Univ of Illinois at Chicago, Chicago, IL 60607, (5)Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, 8604 La Jolla Shores Drive, La Jolla, CA 92093-0208, (6)Andrill, University of NE-Lincoln, 126 Bessey Hall, Lincoln, NE 68588, (7)Minnesota Geol Survey, University of Minnesota, 2642 University Ave W, St. Paul, MN 55114-1057, spiff@evl.uic.edu

New requirements imposed by data-intensive geoscience research and education are demanding capabilities well beyond what the current generation of computing tools are able to provide. The presentation will outline a new model for data-intensive multi-layered, multi-resolution, temporal geoscience exploration that leverages emerging infrastructure and techniques in visualization, data mining, data storage and networking.

This new model is currently being explored in the context of a variety of geoscience applications that include: Visual core description and correlation; seismic modeling; and ground water modeling.

Session No. 113

T112. Geologic Time and CHRONOS: Databases, Tools, Outreach, Education, and the Geoinformatics Revolution II
Monday, 8 November 2004: 1:30 PM-5:30 PM
Geological Society of America Abstracts with Programs. Vol. 36, No. 5, p.273
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