HR: 0800h
AN: SF41A-0760 [Abstracts]
TI: Information Technology Developments for Geodynamics
AU: * Bensen, G D
EM: gbensen@cires.colorado.edu
AF: University of Colorado, 2200 Colorado Ave, Boulder, CO 80309
United States
AU: Meertens, C M
EM: meertens@unavco.org
AF: UNAVCO, Inc., 6350 Nautilus Dr, Boulder, CO 80301
United States
AU: Sheehan, A F
EM: afs@cires.colorado.edu
AF: University of Colorado, 2200 Colorado Ave, Boulder, CO 80309
United States
AB:
Some recent research at UNAVCO and the University of Colorado has been focused on Rocky Mountain tectonics, and Information
Technology (IT) in the areas of data visualization and distributed data serving. At UNAVCO, we are participating in the
geodynamics work in the Rocky Mountain Testbed of the GEON NSF funded (IT) Research project (www.geongrid.org). As part of
this work, a variety of seismic tomography models, GPS velocity vector data, strain rate models and other data have been
recompiled into a standard format. These data and models are being incorporated into our OPeNDAP server and the Integrated
Data Viewer (IDV). OPeNDAP servers are platform independent, self-describing distributed data servers allowing easy access to
a wide audience. The IDV is a freely distributed visualization and analysis tool developed by UCAR that has several
exciting capabilities such as online collaboration, and a variety of 1-d, 2-d and 3-d viewing options. Necessary solid earth
viewing capabilities (earthquakes, focal mechanisms, faults, etc.) are currently being added to the IDV. Both our OPeNDAP
server and visualization tool are being integrated into the GEON portal, a website for data searching, analysis, and
visualization. Designing and implementing such systems now allows us to be more prepared for the volumes of data anticipated
from various EarthScope projects.
As part of the scientific research for GEON, we have also begun investigations of Colorado seismicity. The 1992 Rocky
Mountain Front IRIS/PASSCAL seismic experiment recorded many local earthquakes. We have begun to locate these events and are
working to create focal mechanisms and calculations of stress drop for this region. These will aid in improving seismic
hazard and risk assessments for the rapidly growing Rocky Mountain population. New IT capabilities will help augment the
quality of this work through sharing the data with a larger audience, providing a means to view and analyze integrated data,
and quickly providing a computationally intensive baseline by which results can be checked.
DE: 7215 Earthquake parameters
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting