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Breakout Group: Data Needs, Products, Distribution, and Stewardship. Lead: Bob Cook, ORNL Rapporteur: Betsy Middleton, NASA GSFC 25 participants. Data Products (1/2) . Establish a NASA TE Working Group to help establish priorities for data products and data services
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Breakout Group:Data Needs, Products, Distribution, and Stewardship Lead: Bob Cook, ORNL Rapporteur: Betsy Middleton, NASA GSFC 25 participants
Data Products (1/2) • Establish a NASA TE Working Group to help establish priorities for data products and data services • EOS standard products, MEASURES/REASON/ACCESS products, R&A products • Need members representing broad range of TE activities • Data Products needed for TE Research • Common set of Future Land Use Scenarios (trajectories) for forecast models (implemented by interagency, international groups) • Climate / Weather at high spatial (1 to 4-km) and temporal (sub-daily) resolution (continent and globe) • Dynamics of inland waters • Cloud-corrected global irradiance, Atmospheric optical properties • Promote early use of new TE Data Products • Release synthetic products or airborne version, along with tools for use • Build on conventions for earlier products (formats, parameters, projections, etc) • Release beta version of new products for evaluation Data Breakout Group
Data Products (2/2) • Extend data products developed for NACP and LBA to globe • Climate, forest structure and forest disturbance • Multi-sensor products by integrating Decadal Survey data products with other sensors (Landsat, MODIS) • Also, develop ancillary data layers to support Decadal Survey missions (climate, soils, phenology) • Uniform data stewardship process for making facility and PI Airborne data widely available in a timely manner • Modeling teams need additional land characterization data • Soil carbon, temp, and moisture; in situ biomass Data Breakout Group
Data Tools and Services • Process to facilitate preparation of field / airborne data to share • Documentation, metadata generation, quality checking • Tools • Overcoming a number of barriers • Document data quality & generate quantitative uncertainty • Discover, explore, visualize, and access relevant data and information • Integrate highly diverse data from a variety of sources / researchers who may use the data in different ways • Consistent and readily comparable (use accepted conventions) • Make data products accessible beyond research scientists (decision makers, education, public, etc.) Data Breakout Group
Spatial Data Access Toolhttp://webmap.ornl.gov/wcsdown/ Data Breakout Group