parade of grids: scoop sura coastal ocean observing and prediction program
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Parade of Grids: SCOOP SURA Coastal Ocean Observing and
Prediction Program
Sara GravesSandra Redman
Information Technology and Systems Centerand
Information Technology Research CenterUniversity of Alabama in Huntsville
National Space Science and Technology Center
256-961-7806
sgraves@itsc.uah.edusredman@itsc.uah.edu
www.itsc.uah.edu
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
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
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
National Federation of Regional National Federation of Regional SystemsSystems
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
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
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
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
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
Coordination is Key
Ocean.US - National Office for Integrated and Sustained Ocean Observations coordinates 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 System http://www.openioos.org/
National Oceanographic Partnership Program (NOPP) 15 federal agencies providing leadership and coordination of national research and education programs http://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 systems http://www.orionprogram.org/default.html
Interoperability is Key
Ocean.US Data Management and Communications (DMAC) Plan provides the framework for interoperability http://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 Interoperability a community effort to make marine metadata easier to find, access and use http://www.marinemetadata.org/
Interoperability Demonstration
www.openioos.orgwww.openioos.orgwww.openioos.orgwww.openioos.org
NOAA and ONR grant recipients collaborationNOAA and ONR grant recipients collaborationNOAA and ONR grant recipients collaborationNOAA and ONR grant recipients collaboration
• 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
SCOOP System Development
SCOOP Program Elements
1. Data StandardsMetadata standards – compliant with existing and
emerging standards
Standard data models – to facilitate aggregation
2. Data GridOGC Web services – for distributed maps and data
Augmenting with new data, e.g., surface currents
3. Model GridStorm surge & wave prediction
Modular, standardized prediction system
Users, Modeling Partners, other Data Centers, etc.Regional Data CentersRegional Data Providers
Data Provider
DataApplications /
ModelsOPeNDAP
HTTP
HTTP
DirectAccessFTP/HTTP
Model(s)OGC Services
OGC Protocols for Data and Map Access
OPeNDAPServer
ESML
THREDDSCatalog
Model(s)Data2ModelTranslation
Data Provider
Possible SCOOP Data System Components:Dynamic transport, analysis, cataloging and visualization technologies
IngestMetadataServices
MetaCatalog
Metadataonly
data Transport andMetadata
data
data
OGC ServicesOPeNDAP
data
Transport toAnother site
ES
ML
Archive/Repository Broker
generate
Data Provider
Buoy and otherData
ModelOutput
FTP
Direct Access
SCOOP Prediction SystemAll Versions
1. Standard naming conventions – Adopt existing community standards where appropriate (e.g., CF or NCEP) and add our own conventions only when necessary.
2. Mechanisms for tracking metadata, e.g., provenance, forcing, source of OBCs, forcing used to create OBCs, etc.
3. Portals – entry point for access to models & model output. Deals with authentication & authorization.
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…?
SCOOP Operational Prediction SystemVersion 1.0
Regional Model Center #1
Operational Wave Predictions
(BIO/GoMOOS)
Operational Tide/Surge Predictions (SABLAM)
Coupled Wave-Surge Predictions
(Miami)
Large Scale Response
NOAA/NCEP
(ETA)
NOAA/NCEP/UNC?
(EDAS) Archive
Enhanced Winds
(Miami)
Forcing
Regional Response
Standardize model interfaces
Regional Model Center #2
Standardize Transport/Encapsulation XML, FTP, LDM,
OPeNDAP…?
SCOOP Verification & Visualization
Prediction System
Standardize model-GIS interfaces
Regional Web Server #1
Modeling Center #1 (Regional or otherwise)
Modeling Center #2 (ditto)
Regional Data Center #1
Information Providers
Regional Web Server #2
OGC, RSS…?
Regional Data Center #2
Standardize verification tools & data
Data System
Prediction System Task Elements for Version 1.0
Task: Lead Partner:Data standards TAMUData transport UAHData translation & mgmt UAHCoupled modeling MiamiNested Modeling VIMSCustomized configuration TAMUVisualization Services LSUVerification & validation MiamiComputing & storage resources LSUSecurity TAMUGrid management middleware LSUWeb Mapping Demonstration GoMOOS
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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