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Ocean-Atmosphere Observations Supporting Short-Term Climate Predictions (1994) / Chapter Skim
Currently Skimming:

'ADDITIONAL ISSUES'
Pages 51-57

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From page 51...
... At present, the combination of using bulk formulas and the large errors inherent in standard shipboard surface meteorological observations make the errors in flux determinations so large that prediction models tend to compute the fluxes instead of assimilating flux data or using them to validate predictions. Sets of accurate, directly calculated flux data from moored stations would be powerful constraints for future models, certainly for verification and perhaps eventually for initialization and assimilation.
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From page 52...
... Operational numerical weather prediction centers require rapid transmission of a relatively coarse set of observations. Climate assessment and longer time-scale prediction centers may require higher-resolution data sets (to avoid aliasing)
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From page 53...
... It may be that the overall architecture of the GTS provides fundamental limitations on its usefulness as a climate data distribution system. The interfacing of in situ observational systems to the GTS has presented a major obstacle to successful data transmission to end users.
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From page 54...
... PROCESS STUDIES Although the panel was created to consider operational observations, it is important to take note of the intimate relationship between focused process studies justified on research grounds and the evolution of operational observing schemes. Divorcing the two is a recipe for ineffectiveness.
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From page 55...
... Especially for ocean observations (but not exclusively-see comments about TOGA-initiated meteorological stations above) , systems and time series tend to arise in the research community as exploratory measurements, as observations begun in a process study, etc.
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From page 56...
... Examples of WOCE and TOGA data assembly centers located at research institutions are useful paradigms for what can and should be done in this regard. End-to-end involvement of research scientists at all stages, from raw data collection through quality control to standard maps and data products and on to research papers, is the best guarantee of overall data integrity and usefulness for the long term.
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From page 57...
... The key concern should always be the long-term health of the data series as a set of observations for climate study and research. If this health is better secured in a nonfederal or partly nonfederal setting, that is where the series should be housed and run.
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Key Terms

  • warm pool
  • data distribution
  • process studies
  • time series
  • geostationary satellites

  • western pacific
  • pacific warm
  • pool region
  • flux data
  • situ data

  • data stream
  • data rates
  • climate studies
  • climate time
  • service argos

  • prediction centers
  • climate data
  • toga data
  • commercial data
  • low data

  • successful data
  • data streams
  • broadband data
  • investigations data
  • data products

  • raw data
  • data series
  • developed data
  • lution data
  • data assembly


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