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GOALS (Global Ocean-Atmosphere-Land System) for Predicting Seasonal-to-Interannual Climate A Program of Observation, Modeling, and Analysis (1994) / Chapter Skim
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5 DATA MANAGEMENT
Pages 55-60

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From page 55...
... Being a broader study, however, GOALS would encompass new data sets from field experiments, specialized data sets, and data sets derived from new observational networks designed to complement existing global measurements. The amount of data used and produced by GOALS is expected to be significantly greater than that used and produced by TOGA.
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From page 56...
... Clearly, it would be essential that data sets and data streams from GOALS be safely archived and remain easily accessible to the research community. As the number of users of data sets evolved including modeling and satellite data sets, and in situ measurements such as those from TOGA-COARE and the Global Climate Observing System-the GOALS data management system would need to be able to handle new data streams.
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From page 57...
... Similar to TOGA's data centers, existing institutions would be relied upon to a large extent to manage specialized data streams and data sets. Examples already exist in the TOGA program, where existing institutions have taken on the task of quality control and general support, such as: 1 J The Tropical Sea Level Data Center (Hawaii)
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From page 58...
... In most cases, World Data Centers A and B for meteorology and oceanography are the final (delayed-mode) repository for all TOGA data sets.
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From page 59...
... ~2 GENT ~9 into coupled ocean-atmosphere-land models The resulting data sets Would also facilitate empirical studies of the predictability of the coupled system. Strong communication links and interoperabiLty between moor data centers and data-distribution centers could be required.
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Key Terms

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  • sea level
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  • drifter data
  • management plan
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  • world data
  • climate observing

  • woce data
  • tropical ocean
  • networks designed
  • affect derived
  • florida state

  • operational mode
  • subsurface data
  • operational requirements
  • management requirements
  • field experiments

  • detailed goals
  • safely archived
  • novel data
  • goals scientists
  • environmental laboratory

  • budget process
  • existing institutions
  • larger mass
  • observational networks
  • marine environmental


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