Interoperable Information System of Systems for HTAP

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Interoperable Information System of Systems
forHTAP

• Rudolf B. Husar and Rich Scheffe
• With Erin Robinson
• Presented at
• HTAP Workshop, WMO, Geneva, January 26, 2006

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Approach HTAP as a Learning Organization

• Information System Approach
• Guiding Idea Refine, solidify, evangelize the
  System of Systems idea
• Methods and Tools Develop, promote, use
  standards SoS use cases
• Infrastructure Maintain middleware embrace Web
  2.0

Based on P. Senge et. al, 1994 Architecture of
Learning Organizations(Link)
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The HTAP - GEOSS

• Stakeholders are autonomous countries,
  organizations
• Diverse perspectives on the issues, solutions
• Recognition of the need to understand, act
• Pollution sources and impacts are hemispheric
• Observations and models are ready for integration
• Information integration is key to success
• Hence
• GEOSS is a good system model for HTAP
• HTAP is a suitable use case for GEOSS

• Some Characteristics of System of Systems (SoS)
• Autonomous constituents managed independently
• Independent evolution of each constituent
• Displays emergent (novel, unpredictable) behavior

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Generic Decision Support for Air Quality Decisions
ReportsModels, Forecasts, Obs. Evidence
Models
Knowledge into the Minds of Technical
Analysts
Decisions
Knowledge into the Minds of Decision- making
managers
Knowledge into the Minds ofPolicy Analysts
Observations
Decision Support System
Global Earth Observing System of Systems
GEOSS Architecture Framework
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Interoperability Connecting Machines and People
Interoperability Stack Key concept of the Web
System components have to be
interoperable at each layer
Amplify Individuals Connect Minds
Open Architecture Data Standards Service Based
IP Internet Protocol
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Interoperability Necessary for SoS
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What few things must be the same so that
everything else can be different?
Convergence Protocols
Are WCS/WMS Space-Time-Parameter queries a
Convergence Protocols?
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Value-Adding Processes in HTAP
Obs. Models
Decision Support System
Control
Std. Interface
Std. Interface
Data
Reports
Integrated Data
Datasets
Data Views
Reports
Value-Adding Processes
Analyzing Filter/IntegrateAggregate/FuseAssimila
te
Organizing DocumentStructureFormat
Exploring Display BrowseCompare
Data Manager
Technical Analysts
DB System
Analysis System
Reporting System
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Loosely Coupled Data Access through Standard
ProtocolsOGC Web Coverage Service (WCS)
Obs. Models
Decision Support System
Control
Std. Interface
Std. Interface
Data
Reports
Integrated Data
Datasets
Data Views
Reports
GetCapabilities
Server
Client
Client request Capabilities Server returns
Capabilities and data Profile Client
requests data by where, when, what
query Server returns data cube in requested
format
Std. Interface
Std. Interface
Capabilities, Profile
Where? When? What? Which Format?
Back End
Front End
GetData
Data
T2
T1
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Web Services and Workflow for Loose Coupling
Obs. Models
Decision Support System
Control
Std. Interface
Std. Interface
Data
Reports
Integrated Data
Datasets
Data Views
Reports
Web Service Interaction
Service Broker
Find
Publish
Bind
Service Provider
Service User
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Collaborative Reporting and Dynamic Delivery
Obs. Models
Decision Support System
Control
Std. Interface
Std. Interface
Data
Reports
Integrated Data
Datasets
Data Views
Reports
Analysis Reports Information supplied by
manyNeeds continuous program feedbackReport
needs many authorsWiki technologies are for
collaborative writing
Dynamic Delivery Much of the content is
dynamicAnimated presentations are
compellingMovies and screencasts are for dynamic
delivery
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NSF The Fifth Cyber-Dimension

• Characteristics of a 5D World
• The 5D World is Flat
• Information is the primary driver for progress
• Time and place are no longer barriers to
  participation
• Access is open to specialists and non-specialists
  alike
• The 5D World is Expanding
• New capabilities, resources, mechanisms
• More spaces for learning and innovation
• More opportunities for collaboration (emergence)

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From GADS to IGOS/GEOSS Information Systems
1990
2012?
2006
Example AeroCom
Recognize, exploit SoS Characteristics No
stakeholder has complete SoS insight Central
control is limited -gt distributed Users involved
throughout the life of SoS
Approach Use and build on existing
systems Transform data to information for
society Use open standards, shared architecture
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Imagine 1012 A 20-fold increase in Earth Science
Capabilities?

• More Data 2x sensor x 6x networking 12x
• Powerful Tools 2x power x 3x workflow
  6x
• Better Ideas 1x individ. x 2x group
  2x
• Individually 5x
  collectively 20x

again the confluence! Knowledge creation will
be driven by the combination of data, tools and
ideas Some changes will be driven by the digital
revolution .. but the networking, workflow and
group creativity is in the hands of the
atmospheric science community
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ImagineMore Shared Global Obs Models
2006 Global Data Models
2012 More Global Data Models
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ImagineMore Local Obs., Models, Knowledge
2006 Obs Models
2012 More Local Obs., Models Tacit Knowledge
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Imaginemore tools
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Apparent divergences? Organizations have
different missions
NASA Explore fundamental Earth
System Properties
EPA (Protect human health envi. Improve air,
water, ecosystem
NOAA To understand and predict changes in the
Earths environment and
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Stars aligned? Confluence, again..
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HTAP 2005 Workgroup Summary Goal Advance AQ
model-observation system to level of met FDDA
systems

• General Approach
• Build Organizational frameworks IGACO-EMEP
  efforts
• Adopt model evaluation/fusion as a design
  principle
• Harness communities around tools, platforms and
  programs
• AQ modeling platforms (GEOS-chem, MOZART,
  CMAQ,.more), Satellite Instruments (MODIS, OMI),
  Surface (AIRNow) and aircraft programs
• Integration efforts (AEROCOM), Earth Science
  Information Partners (ESIP)
• Integration of disparate data bases
• Integration fusion of ground, aircraft and
  satellite obs. platforms)
• Data base unification, QA/QC Requirements
  Metadata
• Use cases AeroCom, NAM model/obs comparison
  (2006-)
• Technologies (2006-)
• Develop, testing of Convergence Protocols for SoS
• Data access by space-time query (WCS)
• Naming conventions (C. Textor)