Divide (Labor) and Conquer

• •Coordinate individual efforts toward a whole greater than the sum of the parts
• Each group focuses on areas of expertise
• Work on tasks group has funding for
• Stay aware of other groups’ efforts
• Coordinate efforts wherever possible
• Results of lessons learned from implementation and experimentation feeds into standard definition process

British Atmospheric Data Center: Scientific Feature Types / CSML

• conceptual level mapping of CSML Scientific Feature Types to O&M and ISO 19123 coverages
• broadening community engagement with CSML
• CSML (GML) representation of metadata (and data in some cases) for CS community datasets
• implementation (python) of and experimentation with minimal WCS needed to serve CS community datasets
• [Note:]   Python client (to both WCS 1.0 and 1.1)  has been agreed to be adopted into OWSLib]
• examination of alternative protocols (e.g., WFS) for serving CSML datasets
• liaison with GML, WFS, and CS communities

U of Florence CNR/IMAA: Common Data Model, ncML-G, CS-W

• Conceptual level mapping of CDM Scientific Data Types to ISO 19123 coverages
• CF-netCDF conceptual and encoding level mapping of CDM Scientific Data Types
• ncML-G (GML) representation of metadata (and data in some cases) for CDM/CF-netCDF community datasets
• implementation (Java) of minimal WCS server and client needed for CDM data types
• implementation (Java) of CS-W client and server that includes THREDDS catalog access
• liaison to catalog standards and European data systems communities

George Mason University: NASA data / HDF-EOS / CS-W

• serving NASA satellite data (swath data type)
• implementation of WCS clients and servers for those datasets
• liaison to HDF-EOS community
• implementation of CS-W services for THREDDS catalogs
• liaison to catalog standards development and implementation communities

Unidata: CDM Scientific Data Types / CF-netCDF

• conceptual level mapping of CDM Scientific Data Types to ISO 19123 coverages
• work to extend CF conventions to include CDM CDM Scientific Data Types
• CF-netCDF encoding level mapping of CDM Scientific Data Types
• implementation (Java) of  minimal WCS server as part of TDS (THREDDS Data Server) to serve CF-netCDF community datasets
• harmonize TDS metadata with standards: CSML, ncML, CS-W
• liaison to CF, Oceans (irregular grids, SWE), Hydrology (Observation Data Model), CS-W

SURA/DataFed: SWE / station obs / irregular grids

• joining efforts to extend CF for station obs and irregular grids
• mapping station obs and irregular grids to ISO 19123 standard coverages
• mapping those ISO coverages to SWE O&M sampling feature types
• liaison with air quality and coastal oceans communities
• experimenting with connections among WCS, WFS, SOS data access
• liaison with SWE efforts and Oceans IE

Additional Activities

British Met Office

• Provision of a proprietary WCS to test client interoperability (initially WCS 1.0, later WCS 1.0+) 
• Evaluation of THREDDS Data Server (TDS) to provide access to Met Office data (internally), including the WCS interface 
• Development of TDS IO Service Providers for two Met Office bespoke formats (PP format and Nimrod format) which would make those datasets available via WCS
  
• Proposal to extend (and revise) CF metadata convention to enhance the grid mapping attributes (Phil Bentley - see: http://cf-pcmdi.llnl.gov/trac/ticket/18)
• Provide useful review input for GALEON activities.