The Ocean Observatories Initiative: Data, Data and More Data

Michael F Crowley1, Michael Vardaro2, Leila Belabbassi3, Michael J Smith4, Lori M Garzio2, Friedrich Knuth3, Scott M Glenn2, Oscar Schofield2, Charles Sage Lichtenwalner2 and John Kerfoot1, (1)Rutgers University, Marine and Coastal Sciences, New Brunswick, NJ, United States, (2)Rutgers University, Department of Marine and Coastal Sciences, New Brunswick, NJ, United States, (3)Rutgers Unversity, Department of Marine and Coastal Sciences, New Brunswick, NJ, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Abstract:
The Ocean Observatories Initiative (OOI), a project funded by the National Science Foundation (NSF) and managed by the Consortium for Ocean Leadership, is a networked infrastructure of science-driven sensor systems that measure the physical, chemical, geological, and biological variables in the ocean and seafloor on coastal, regional, and global scales. OOI long term research arrays have been installed off the Washington coast (Cabled), Massachusetts and Oregon coasts (Coastal) and off Alaska, Greenland, Chile and Argentina (Global). Woods Hole Oceanographic Institution and Oregon State University are responsible for the coastal and global moorings and their autonomous vehicles. The University of Washington is responsible for cabled seafloor systems and moorings. Rutgers University operates the Cyberinfrastructure (CI) portion of the OOI, which acquires, processes and distributes data to the scientists, researchers, educators and the public. It also provides observatory mission command and control, data assessment and distribution, and long-term data management. This talk will present an overview of the OOI infrastructure and its three primary websites which include: 1) An OOI overview website offering technical information on the infrastructure ranging from instruments to science goals, news, deployment updates, and information on the proposal process, 2) The Education and Public Engagement website where students can view and analyze exactly the same data that scientists have access to at exactly the same time, but with simple visualization tools and compartmentalized lessons that lead them through complex science questions, and 3) The primary data access website and machine to machine interface where anyone can plot or download data from the over 700 instruments within the OOI Network.