Group 1 Data Accumulation

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Group 1 Data Accumulation. Thomas Reinsch, Rapporteur. data management system design. distributed incorporated organization by research and data themes research themes: inversion, inventory(budget), biogeochemical model, process model
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Group 1Data Accumulation Thomas Reinsch, Rapporteurdata management system design
  • distributed
  • incorporated organization by research and data themes
  • research themes: inversion, inventory(budget), biogeochemical model, process model
  • data themes: atmospheric transport (3D), surface meteorology, atmospheric constituents, land parameters (socioeconomic level: vegetation…), flux measurements, carbon stocks, FIA, emissions measurements (need specific variables for each theme)
  • (populate a matrix of research vs data themes to communicate needs between researchers and data providers)
  • MatureArchiveCampaignsArchivesPI SetsDATADATANACPVAPDATA THEMESPORTALSPIMET. . .PIPIPrimersModelsINVBGC. . .RESEARCH THEMESUSERSSciencePublicDecisionAssessment Matrix –Observations vs. Research ThemesAssessment Matrix - DiscussionColor indicates if all data sets are available for a given research theme – green=yes, yellow=some work needed, red=noneExpand each theme using an observation requirement spreadsheet for each research themeHave all PIs and related Govt users fill in the requirements spreadsheet; collate; identify how to address unmet requirements by providing alternatives, costs, risks; CCIWG and/or CCSSG decide on approachesdata management system design
  • reference available datasets through central portal (mercury model?)
  • Index of models used by NACP with data input requirements and expected outputs
  • System needs to include inputs (data sources) and outputs (products)
  • develop a common learning environment that describes use case scenario using themes e.g. a primer or description of methods of how atmospheric transport (3D) was used in a specific inversion model
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