The cyberinfrastructure model for the NSF Ocean Observatories Initiative: A 20-year prospective

Citation:
Orcutt, JA, Vernon FL, Peach CL, Arrott M, Chave AD, Schofield O, Meisinger MJ, Farcas C, Farcas E, Krueger I, Kleinert J.  2010.  The cyberinfrastructure model for the NSF Ocean Observatories Initiative: A 20-year prospective. ( Orcutt JA, Ed.).: American Geophysical Union, 2000 Florida Ave., N.W. Washington DC 20009 USA, [URL:http://www.agu.org]

Keywords:

ANW, USA, Massachusetts, Woods Hole, Architecture, ASFA 2: Ocean Technology Policy & Non-Living Resources, Climatic changes, clouds, Coastal oceanography, Coastal zone management, Data analysis, INE, USA, Oregon, INE, USA, Washington, M2 551.468:Coastal Oceanography (551.468), marine, Meteorological & Geoastrophysical Abstracts, Meteorological data, modelling, Ocean-atmosphere system, Organizations, provenance, Q2 02284:Hydrodynamics, wave, current and ice forces, Resource management, Sensors, South America, Amazon R.

Abstract:

The NSF Ocean Observatories Initiative (OOI) began a five-year construction period in October 2009. The Consortium on Ocean Leadership (COL) manages the overall program with Implementing Organizations for Coastal/Global Scale Nodes (CGSN) at Woods Hole, Oregon State and Scripps; the Regional Cabled Network (RCN) at U of Washington and Cyberinfrastructure (CI) at UCSD. The CI component is a substantial departure from previous approaches to data distribution and management, which we believe will have a significant impact on oceanography over the next twenty years. These innovations include the availability of data in near-real-time with latencies of seconds, open access to all data, analysis of the data streams for detection and modeling, use of the derived knowledge to modify the network with minimal or no human interaction and maintenance of data provenance through time as new versions of the data are created through QA/QC processes. The network architecture is designed to be scalable so that addition of new sensors is straightforward and inexpensive with costs increasing linearly at worst. Rather than building new computer infrastructure (disk farms and computer clusters), we are exploiting Amazons Extensible Computing Cloud (EC2) and Simple Storage System (S3) to reduce long-term commitments to hardware and maintenance in order to minimize operations and maintenance costs. The OOI CI is actively partnering with other organizations (e.g. NOAAs IOOS) to integrate existing data systems using many of the same technologies to improve broad access to existing and planned observing systems, including those that provide critical climate data. We welcome interest and participation in the OOIs CI construction, testing and transition to operations over the coming five years.

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