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