HR: 09:15h
AN: IN21D-06    [Abstracts]
TI: SCOOP: An IOOS Testbed
AU: Graves, S
EM: sgraves@itsc.uah.edu
AF: The University of Alabama at Huntsville, 301 Sparkman Drive, Huntsville, AL 35899 United States
AU: * Bogden, P
EM: bogden@gomoos.org
AF: SCOOP Program at SURA, 350 Commercial St., Portland, ME 04101 United States
AB: The Integrated Ocean Observing System (IOOS) represents a national initiative to create a new system for collecting and disseminating information about the oceans. The system will support a variety of practical applications, along with enabling research. A key partner in IOOS design and development, the Southeastern Universities Research Association (SURA) is a consortium of over sixty universities across the US (http://www.sura.org). Building on the capabilities of its member universities, SURA seeks to develop a network of sensors and linked computers as part of the SURA Coastal Ocean Observing and Prediction (SCOOP) program, fully integrating several observing systems in the southern U.S. (http://twiki.sura.org/bin/view/Main/WebHome). SCOOP's goal is to create a scalable, modular prediction system for storm surge and wind waves. The system will enable a "transition to operations" of cutting-edge pre-operational modeling activities from the research community. This network will provide data in real-time and at high speed, for more reliable, accurate and timely information to help guide effective coastal stewardship, plan for extreme events, facilitate safe maritime operations, and support coastal military security. The SCOOP program is providing some of the information technology (IT) glue that will unite the coastal science community in a distributed way. IT topics addressed in relation to the coastal science community include data and metadata collection, archival and management, timely data transport and translation, visualization, security, and incorporation of data and processing grid technologies. Close cooperation between the IT and coastal science modeling communities is producing positive results toward a real-time modeling environment that will benefit coastal stakeholders through better predictive capabilities.
DE: 0442 Estuarine and nearshore processes (4235)
DE: 4217 Coastal processes
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005