HR: 10:50h
AN: OS42A-03    [Abstracts]
TI: Operable Data Management for Ocean Observing Systems
AU: Chavez, F P
EM: chfr@mbari.org
AF: Monterey Bay Aquarium Research Institute (MBARI), 7700 Sandholdt Rd., Moss Landing, CA 95039 United States
AU: * Graybeal, J B
EM: graybeal@mbari.org
AF: Monterey Bay Aquarium Research Institute (MBARI), 7700 Sandholdt Rd., Moss Landing, CA 95039 United States
AU: Godin, M A
EM: godin@mbari.org
AF: Monterey Bay Aquarium Research Institute (MBARI), 7700 Sandholdt Rd., Moss Landing, CA 95039 United States
AB: As oceanographic observing systems become more numerous and complex, data management solutions must follow. Most existing oceanographic data management systems fall into one of three categories: they have been developed as dedicated solutions, with limited application to other observing systems; they expect that data will be pre-processed into well-defined formats, such as netCDF; or they are conceived as robust, generic data management solutions, with complexity (high) and maturity and adoption rates (low) to match. Each approach has strengths and weaknesses; no approach yet fully addresses, nor takes advantage of, the sophistication of ocean observing systems as they are now conceived. In this presentation we describe critical data management requirements for advanced ocean observing systems, of the type envisioned by ORION and IOOS. By defining common requirements -- functional, qualitative, and programmatic -- for all such ocean observing systems, the performance and nature of the general data management solution can be characterized. Issues such as scalability, maintaining metadata relationships, data access security, visualization, and operational flexibility suggest baseline architectural characteristics, which may in turn lead to reusable components and approaches. Interoperability with other data management systems, with standards-based solutions in metadata specification and data transport protocols, and with the data management infrastructure envisioned by IOOS and ORION, can also be used to define necessary capabilities. Finally, some requirements for the software infrastructure of ocean observing systems can be inferred. Early operational results and lessons learned, from development and operations of MBARI ocean observing systems, are used to illustrate key requirements, choices, and challenges. Reference systems include the Monterey Ocean Observing System (MOOS), its component software systems (Software Infrastructure and Applications for MOOS, and the Shore Side Data System), and the Autonomous Ocean Sampling Network (AOSN).
DE: 9820 Techniques applicable in three or more fields
DE: 4894 Instruments and techniques
DE: 4294 Instruments and techniques
DE: 4594 Instruments and techniques
DE: 3094 Instruments and techniques
SC: Ocean Sciences [OS]
MN: 2004 AGU Fall Meeting