Breakout Group: Data Needs, Products, Distribution, and Stewardship

1
Breakout GroupData Needs, Products,
Distribution, and Stewardship

• Lead Bob Cook, ORNL
• Rapporteur Betsy Middleton, NASA GSFC
• 25 participants

2
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, RA 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

3
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
  

4
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.)

5
MODIS Land Cover integrated with Google Earth-
ORNL DAAC
6
MODIS Land Cover integrated with Google Earth-
ORNL DAAC
7
Spatial Data Access Toolhttp//webmap.ornl.gov/wc
sdown/