TAMU GCOOS Wiki

As part of the SURA Coastal Ocean Observation and Prediction Program (SCOOP)(SURA Award Number SURA-2005-206), Texas A&M University has agreed to act as the lead for the Gulf Coast Ocean Observing System (GCOOS) task portion of the program.

The requirements are:

• Revamp systems to conform with and implement as feasible the recommendations of the DMAC
  plan with respect to data discovery, access, transport, archival and products.
  
• Produce metadata following the recommendations of the DMAC plan including evolving XML definitions (namespace, sensor, etc.) as appropriate. This will greatly facilitate the end-to-end machine processing of data from sensor to archive.
  
• Document efforts, successes and failures, obstacles and solutions as "Lessons Learned" to be submitted as a deliverable.
  
• Share these findings with other OOS.
  
• Enhance web presence to employ Open GIS Consortium (OGC) technologies similar to those used on the OpenIOOS demonstration, and the SEACOOS websites. This will allow the ability to pull down and overlay information from other providers such as SST from LSU, buoy data from NDBC, and model output from the USF/COMPS to name a few.
  
• Generate and display model-data comparisons and model performance metrics for GCOOS and perhaps other circulation models.
  
• Work with NOAA/Hazmat to make our system and their GNOME Oil Spill Model interoperable for the use and benefit of TGLO resource managers.
  

The milestones and deliverables for this part of the project are:

Milestone	Deliverable	Planned Date
Identify DMAC specifications and best practices for data discovery, access, transport, archival and product delivery for TGLO Current Forecast System (CFS).	Report listing the methods, tools, standards or interim standards adopted to implement the DMAC for the TGLO Current/Forecast System.	15 Jan 2005
Implement DMAC, as practical, for TGLO CFS. Adopt OGC GIS technologies, integrate NOAA HAZMAT Oil Spill Model for TGLO Resource Managers.	Demonstrate web site implementing DMAC recommendations, with GIS capabilities and interoperable with the NOAA-HAZMAT GNOME oil modeling environment software package.	1 Jul 2005
Lessons learned and evaluation of the process and the product.	Report describing lessons learned, and technical issues encountered.	31 Aug 2005