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Parade of Grids: SCOOP SURA Coastal Ocean Observing and Prediction Program

Parade of Grids: SCOOP SURA Coastal Ocean Observing and Prediction Program. Sara Graves Sandra Redman Information Technology and Systems Center and Information Technology Research Center University of Alabama in Huntsville National Space Science and Technology Center 256-961-7806

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Parade of Grids: SCOOP SURA Coastal Ocean Observing and Prediction Program

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  1. Parade of Grids: SCOOP SURA Coastal Ocean Observing and Prediction Program Sara Graves Sandra Redman Information Technology and Systems Center and Information Technology Research Center University of Alabama in Huntsville National Space Science and Technology Center 256-961-7806 sgraves@itsc.uah.edu sredman@itsc.uah.edu www.itsc.uah.edu

  2. What is SCOOP? • Southeastern Universities Research Association (SURA) program to create an infrastructure for a distributed Integrated Ocean Observing System (IOOS) in the southeastern region • Provides a shared means for the acquisition of observational data • Enables modeling, analysis and delivery of information in real-time • SCOOP will serve as a model for the national effort in integrating ocean observing systems • http://www1.sura.org/3000/3300_Coastal.html

  3. SCOOP Vision A single, tightly integrated laboratory, providing an unparalleled window to new scientific frontiers… … while addressing a host of immediate socioeconomic issues and applications

  4. Integrated Ocean Observing System(IOOS) Serves national needs for: • Detecting and forecasting oceanic components of climate variability • Facilitating safe and efficient marine operations • Ensuring national security • Managing resources for sustainable use • Preserving and restoring healthy marine ecosystems • Mitigating natural hazards • Ensuring public health

  5. National Federation of Regional Systems • National Backbone • Satellite remote sensing • In situ sensing • reference & sentinel • station-network • Link to global ocean • component • Data standards & • exchange protocols • Regional Systems • Regional priorities • Effects of climate change • & Effects of land-based • sources •  Resolution, •  Variables

  6. Planned Capabilities • Validate accurate and timely short and long-term predictions • Simultaneous measurements of winds, waves, currents, water density, nutrients, water quality, biological indices, and fish stocks under all conditions • Focus on storm surge, wind waves, and surface currents, with special attention to predicting and visualizing phenomena that cause damage and inundation of coastal regions during severe storms, hurricanes and possibly tsunamis • Bridge the gap between scientific research and coastal operations

  7. SCOOP Science Goals • Assess and predict the coastal response to extreme atmospheric events – focus on storm surge, flooding & waves • Modular modeling tools for regional issues (wave coupling, sediment suspension, etc.) • Standardized interfaces for data and (coupled) model interoperability • Ensemble prediction – forecasts based on many independent models runs

  8. SCOOP Research Goals • Measure, understand and predict environmental conditions • Provide R&D support for operational agencies including NOAA, the U.S. Navy, and others • Include outreach and education components that assure relevance of their observing activities

  9. SCOOP Objectives • Develop and deploy standards and protocols for data management, exchange, translation and transport • Implementation of existing standards and protocols (e.g. FGDC, OGC, web services, etc.) • Application of Grid Technologies • Deployment of the communications infrastructure to link ocean sensors operating in extreme environmental conditions to people who need timely information • Cultivation of industry partners

  10. Coordination is Key • Ocean.US - National Office for Integrated and Sustained Ocean Observationscoordinates development of an operational, integrated and sustained Ocean Observing System (created by NOPP)http://www.ocean.us/ • Integrated Ocean Observation System (IOOS)a national effort to create an Integrated Ocean Observing Systemhttp://www.openioos.org/ • National Oceanographic Partnership Program (NOPP)15 federal agencies providing leadership and coordination of national research and education programshttp://www.nopp.org/ • National Federation of Regional Associations provide a framework for orchestrating regional collaborations http://www.usnfra.org/ • NSF Ocean Research Interactive Observatory Networks (ORION)an emerging network of science-driven ocean observing systemshttp://www.orionprogram.org/default.html

  11. Interoperability is Key • Ocean.US Data Management and Communications (DMAC) Planprovides the framework for interoperabilityhttp://dmac.ocean.us/dacsc/imp_plan.jsp • Open Geographic Information Systems (GIS) Consortium (OGC)an open consortium of industry, government, and academia developing interface specifications to support interoperability http://www.opengis.org • Marine Metadata Interoperabilitya community effort to make marine metadata easier to find, access and usehttp://www.marinemetadata.org/

  12. Interoperability Demonstration NOAA and ONR grant recipients collaboration www.openioos.org

  13. SCOOP System Development • Funding provided by ONR, NOAA • SCOOP Partners: • Consortium for Oceanographic Research and Education • Gulf of Maine Ocean Observation System (GoMOOS) • Louisiana State University, Center for Computation & Technology • Louisiana State University, Coastal Studies Institute • Southeast Atlantic Coastal Ocean Observing System (SEACOOS) • Texas A&M University • University of Alabama in Huntsville • University of Delaware (Mid-Atlantic Regional Association (MARA) • University of Florida • University of Miami, Center for Southeastern Tropical Advanced Remote Sensing • University of North Carolina • Virginia Institute of Marine Science

  14. SCOOP Program Elements • Data Standards Metadata standards – compliant with existing and emerging standards Standard data models – to facilitate aggregation • Data Grid OGC Web services – for distributed maps and data Augmenting with new data, e.g., surface currents • Model Grid Storm surge & wave prediction Modular, standardized prediction system

  15. Possible SCOOP Data System Components:Dynamic transport, analysis, cataloging and visualization technologies Regional Data Providers Regional Data Centers Users, Modeling Partners, other Data Centers, etc. Buoy and other Data Data Applications / Models Data Provider OPeNDAP THREDDS Catalog data Transport and Metadata HTTP generate OPeNDAP Server Direct Access FTP/HTTP ESML ModelOutput Ingest data Metadata only Metadata Services Model(s) Data2Model Translation data Meta Catalog Data Provider Archive/Repository Broker • Model(s) ESML FTP OPeNDAP OGC Services Transport to Another site OGC Services HTTP OGC Protocols for Data and Map Access Data Provider data Direct Access

  16. SCOOP Prediction SystemAll Versions • Standard naming conventions – Adopt existing community standards where appropriate (e.g., CF or NCEP) and add our own conventions only when necessary. • Mechanisms for tracking metadata, e.g., provenance, forcing, source of OBCs, forcing used to create OBCs, etc. • Portals – entry point for access to models & model output. Deals with authentication & authorization.

  17. SCOOP Prediction System, Version 1.0 • Modular wind forcing • Modular embedded regional models • Coupled models – for existing groups • Using existing computational resources • Verification – real time model-data comparisons • Model-GIS interface & OGC Web services • Web mapping with roads, etc. • Web mapping with time sequences (WMS) • Standardized time-series verification • Openioos.org for displaying results • Other…?

  18. SCOOP Operational Prediction SystemVersion 1.0 Standardize Transport/EncapsulationXML, FTP, LDM, OPeNDAP…? Large Scale Response Forcing Operational Wave Predictions (BIO/GoMOOS) Regional Response NOAA/NCEP (ETA) Regional Model Center #1 Operational Tide/Surge Predictions (SABLAM) NOAA/NCEP/UNC? (EDAS) Archive Regional Model Center #2 Enhanced Winds (Miami) Coupled Wave-Surge Predictions (Miami) Standardize model interfaces

  19. SCOOP Verification & Visualization Prediction System OGC, RSS…? Modeling Center #1 (Regional or otherwise) Information Providers Modeling Center #2 (ditto) Regional Web Server #1 Data System Regional Web Server #2 Regional Data Center #1 Regional Data Center #2 Standardize model-GIS interfaces Standardize verification tools & data

  20. Prediction System Task Elements for Version 1.0 Task: Lead Partner: Data standards TAMU Data transport UAH Data translation & mgmt UAH Coupled modeling Miami Nested Modeling VIMS Customized configuration TAMU Visualization Services LSU Verification & validation Miami Computing & storage resources LSU Security TAMU Grid management middleware LSU Web Mapping Demonstration GoMOOS

  21. Collaborative Development Process • Project wiki – public and working • Weekly telecons • Email distribution lists • Face-to-face meetings • Technical workshops • Communitiy forums

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