NOAA SURA Model Testbed Project Cyberinfrastucture (CI) Overview and Goals

1. NOAA SURA Model Testbed Project Cyberinfrastucture (CI) Overview and Goals

2. Some demo sites http://staging.asascience.com/sarops/client/flex/ http://maxim.ucsd.edu/CBEO/VersarCims/Default.aspx http://fvcom.smast.umassd.edu/research_projects/NECOFS/Forecast_Hindcast/client http://coastwatch.pfel.noaa.gov/erddap/index.html http://www.sccoos.org/data/roms/ http://www.neracoos.org/products/modeldata/

3. Data Access • Support the modelers with their data needs for boundary conditions and assimilation through open access to data such as: • Large scale operational models • In-situ observations • Remotely sensed data (satellite/radar) • Gliders

4. Data Storage and Services • Provide IT infrastructure as an • environment for modelers to share data • Provide guidance and support to modelers to ensure that model output complies with standards to drop into the testbed • Host server(s) that will store and serve model data through a variety of services (TDS, WMS, SOS, etc.) – use of standard NOAA protocols • Implementation of IOOS-defined services and server-side tools will keep in mind the OOI architecture to enable future transition

5. Tools • Web portal where all model data • (hindcast/forecast) can be accessed, • visualized, and analyzed • Comparison tools so users can compare model vs model and model vs observation • Collaboration tools similar to the weather forecasters that allows comparisons of ocean models, skill assessment and consensus forecasting • Matlab toolkit to access model testbed server • ArcGIS interface to Model Testbed

6. Other… • Server side Matlab analysis (compiled tools) and option to run Matlab as a virtual service • Implement analysis tools through web interface– so users can run server-side analysis – e.g. show me an 8 day average of SST etc. • A documented CF convention standard for unstructured grid, implemented in NetCDF Java • Skill Assessment Tools • A restful web service that allows regridding from structured or unstructured grid onto a uniform grid • A standards-based WMS service for structured and unstructured grid 

7. Some Relevant Projects • EU MyOcean and Inspire • ESRI • http://www.arcgis.com/home/ • NextGen Project • Live Access Server (LAS) • http://las.pfeg.noaa.gov/explore/ • ERDDAP • http://coastwatch.pfel.noaa.gov/erddap/index.html • Environmental Data Connector • Google Search & GE • AutoMEDS • NSF OOI • JPL OurOceans • CSDMS/GOMEX PPP • IOOS RA Efforts (Neracoos) • http://www.neracoos.org/products/modeldata/ • CUAHSI • http://maxim.ucsd.edu/CBEO/VersarCims/Default.aspx • OpenIOOS • ncWMS/uWMS • OGC Metocean IE

8. Why Cyber Infrastructure? CI: Linking the marine infrastructure to science and users 8

9. What is CI? 9

10. 1st family of Use cases : Met Ocean Professional users A forecaster at a NWS and an analyst at ECMWF are observing and analysing a weather feature and trying to predict its future developments. They want to compare its development between different model runs and look at ensemble outputs. The aim is to see how forecasters can easily use maps of other NWP forecasts to improve their ability to access a meteorological situation. Ideally I would add that the ECMWF and NWS analysts should be easily be able to exchange the maps they are looking at! • Challenges for the IE: •   How to define "different model runs" •   How to generate "ensemble outputs" • How to serve the models via WMS

11. Conclusions • Modeling teams will define CI goals and deliverables – Use Cases • Leverage and unify existing technologies and tools • Browse/Preview Capabilities as well as scientific data access • Support research efforts as well as incorporating the needs for Transition to Operations • Realistic and Achievable deliverables • – clearly defined