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UW Moxa Arch Carbon Sequestration Project

Cyberinfrastructure Development

Project Dates:

1 September 2008 - 31 December 2009

Funding Sponsor:
U.S. Department of Energy

Principal Investigator:
Jeff Hamerlinck

Other Personnel:
Phil Polzer
Teal Wyckoff

Project Description:
The UW Moxa Arch Carbon Sequestration Project is a U.S Department of Energy funded grant involving ten science teams from UW and the Wyoming State Geological Service. WyGISC's role in the project is to design and develop a geospatially-enabled cyberinfrastructure to foster, support and enhance collaboration across research involved with geologic characterization, reservoir modeling and long-term monitoring of carbon capture and storage activities in Wyoming. Initial implementation of the cyberinfrastructure focused on supporting data and information exchange between the individual science teams on campus. Two specific design principles were emphasized: utilization of existing infrastructure; and geospatial enablement. Development centered on linking four software applications. Geospatial elements of the cyberinfrastructure include an ESRI ArcServer 9.3-based mapping application embedded within the Sakai Collaborative Learning Environment (Sakai Foundation; Ann Arbor, MI) and integration with the Wyoming GeoLibrary, a metadata server based on the ESRI GIS Portal Toolkit 9.3. Interactive online mapping is supported through the WyGISC DataServer. Customized user access is managed through the MyWyGISC Application and Data Portal. The final deliverable for this "Phase I" effort will be a conceptual framework for developing a sustainable cyberinfrastructure to support collaborative carbon capture and storage research at the University of Wyoming.

Poster Presentation:
Hamerlinck, J.D., Oakleaf, J.R., Polzer, P.L., Wyckoff, T.B., 2009. Building a Geo-Cyberinfrastructure for Carbon Capture and Sequestration Research. Poster presented at the ESRI International Users Conference on July 13-17, 2009. San Diego, CA. Poster (pdf)


Cyberinfrastructure Conceptual Model

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