Interoperable Information System of Systems for HTAP

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Interoperable Information System of Systems for
HTAP
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GEOSS/AMI Domain of ActionsBased on ideas of P.
Senge Architecture of Learning Organizations
P. Senge et. al, 1994 Fifth Discipline Fieldbook
(Link)

• Possible DataFed Roles
• Guiding Idea Refine, solidify, evangelize the
  System of Systems idea
• Methods and Tools Develop, promote, implement
  standards Coordinate SoS use cases
• Infrastructure Maintain the DataFed middleware
  for distributed data access Supply Agency
  champions with SoS sales material

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Characteristics of a 5D World

• Time and place are no longer barriers to
  participation and interaction
• Access is open to specialists and non-specialists
  alike
• Information is the primary driver for progress
• Possibilities expanded by new capabilities,
  resources, mechanisms

The world is flat -Thomas Friedman The flat
world is expanding - Anonymous More room for
innovation (Emergence) New spaces for learning
and discovery (Web is Expanding) Expanded
opportunities for collective collaboration and
interaction Greater capabilities for research
and education
NSF Goals To catalyze the development of a system
of science and engineering data collections that
is open, extensible and evolvable. To support
development of a new generation of tools and
services facilitating data acquisition, mining,
integration, analysis, and visualization.
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GEOSS-Like Air Quality System of Systems?

• Characteristics of System of Systems (SoS)
• (Based on DoD Descriptions)
• Autonomous constituents managed/operated
  independently
• Independent evolution of each constituent
• Displays emergent behavior

• Must recognize, manage, exploit the
  characteristics
• No stakeholder has complete SoS insight
• Central control is limited distributed control
  is essential
• Users, must be involved throughout the life of a
  SoS

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Some major AQ Information System Challenges(Same
as the DoD, ES Challenges?)
What few things must be the same so that
everything else can be different? (GEOSS)
Connecting Humans!
Are WCS/WMS Convergence Protocols?
Right Level of Networking?
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From GADS (1990) to GEOSS (2010) Information
Systems

• Build on existing systems to provide
  comprehensive, coordinated Earth observations and
  transforming the data into vital information for
  society
• Implement interoperability arrangements using
  open standards, shared architecture

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• Goal Advance air quality model-observation
  complex to level of meteorological FDDA systems
• Build Organizational frameworks IGACO-EMEP
  efforts
• Data base, IT standards data unification center?
  Practical LRTAP task?
• Standardization/QAQC Reference material, or
  method (aerosols)
• Adopt model evaluation/fusion as a design
  principle
• Support linkage of ground based and satellite
  observation platforms through development of a
  sustainable vertical profiling system (aircraft
  and ground based lidar)
• Address integration of disparate data bases
• QA/QC provide requirements for data
  standards/metadata descriptions
• Data base unification
• Harness the communities around major tools,
  platforms and programs.
• Air quality modeling platforms (GEOS-chem,
  MOZART, CMAQ,.more)
• Satellite Instruments (MODIS, OMI)
• Existing routine surface (AIRNow, VIEWS, EMAP,)
  and aircraft programs
• Integration efforts (AEROCOM)

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Generic Decision Support for Air Quality Decisions
ReportsModel Forecasts, Obs. Evidence
Models
Knowledge into the Minds of Technical
Analysts
Decisions
Knowledge into the Minds of Decision- making
managers
Knowledge into the Minds ofRegulatory Analysts
Observations
Decision Support System
Global Earth Observing System of Systems
GEOSS Architecture Framework
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Coarse Outline

• GEOSS Approach
• GEOSS System of Systems
• GEOSS Information - Internet - Architecture
  diagram
• International Standards
• What few things... Convergence protocols
• User - driven
• Infrastructe - extension of current systems
• Data Model Hanrmonisation
• Data-Data comparison
• Model-Model omparison
• Model-Data Comparison -gt Integration
• Analysis System for HTAP
• Obs Evidence
• Model Evidence
• Integrated Model Obs
• Reporting System
• Writing
• Information Science, Engineering Technology fpr
  HTAP
• Information Science, Architechure (Master
  Framworks, SOA)

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Plan for Action (NSF)

• Coherent Organizational Framework
• Diversity of approaches
• Communities of practice
• Community proxy roles of collections
• Dynamic and evolving system
• Flexible Technological Architecture
• Layered capabilities
• Metadata
• Data analysis and visualization tools
• Promoting and use of stable standards
• Coherent Data Policies
• Transparent policy frameworks
• Data management plans
• Interagency coordination
• International cooperation

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For SEAS not DataFed

• Here are a few quotes resonate with my thinking 
•  
• Charles Vest, MIT  on the idea of  Meta
  University  "What we are observing is the early
  emergence of a Meta University -- a transcendent,
  accessible, empowering, dynamic
  community-constructed framework of open material
  and platforms on which much of higher education
  worldwide can be constructed or enhanced." 
• Our School could be active member of the
  community that constructs the frameworks and
  populates it with open materials and platforms..
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• NSF Strategic Plan for Data, Data Analysis, and
  Visualization a vision in which science and
  engineering digital data are routinely deposited
  in well-documented form, are regularly and easily
  consulted and analyzed by specialists and
  non-specialists alike, are openly accessible
  while suitably protected, and are reliably
  preserved.
• In atmospheric chemistry and pollution, we are
  already a major center for openly accessible
  global-scale information resources. Together, we
  could do and show much more. 

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• A disruptive technology or disruptive innovation
  is a technological innovation, product, or
  service that eventually overturns the existing
  dominant technology or product in the market.
  Disruptive innovations can be broadly classified
  into lower-end and new-market disruptive
  innovations. A new-market disruptive innovation
  is often aimed at non-consumption, whereas a
  lower-end disruptive innovation is aimed at
  mainstream customers who were ignored by
  established companies. Sometimes, a disruptive
  technology comes to dominate an existing market
  by either filling a role in a new market that the
  older technology could not fill (as more
  expensive, lower capacity but smaller-sized hard
  disks did for newly developed notebook computers
  in the 1980s) or by successively moving up-market
  through performance improvements until finally
  displacing the market incumbents (as digital
  photography has begun to replace film
  photography).