Earth Observation System Architecture: Enabling an Entrepreneurial Environment

1
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment
Requirements
Input (Information Creation) Process Outpu
t (Information Exploitation)
System Architecture
Data Management
Theoretical Basis
Observation and Products
Modeling and Data Assimilation
Data Assimilation
Decision Support

• Spatially-Enabled Search Portals
• Geo-Referenced Emergency Alerting
• Service Interfaces for Decision Support Tools

Validation
Utilization
Societal Benefit
2
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment
Requirements
Input (Information Creation) Process Outpu
t (Information Exploitation)
System Architecture
Data Management
Theoretical Basis
Observation and Products
Diverse Societal Benefit Areas
Data Assimilation
Decision Support

• Spatially-Enabled Search Portals
• Geo-Referenced Emergency Alerting
• Service Interfaces for Decision Support Tools

Validation
Utilization
Societal Benefit
3
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Bob Chen, Deputy Director, Center for
  International Earth Science Information Network
  (CIESIN), Columbia University
• Eugenia Kalnay, Distinguished University
  Professor, Department of Meteorology, University
  of Maryland
• Maria Pirone, Vice President Product and Market
  Development, Atmospheric and Environmental
  Research,Inc.
• Joe Shannon, Chief Architect, Lockheed Martin
  Space Systems Company

4
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment
Requirements
Joe Shannon
Input (Information Creation) Process Outpu
t (Information Exploitation)
System Architecture
Data Management
Theoretical Basis
Observation and Products
Maria Pirone
Modeling and Data Assimilation
Data Assimilation
Eugenia Kalnay
Decision Support
Bob Chen

• Spatially-Enabled Search Portals
• Geo-Referenced Emergency Alerting
• Service Interfaces for Decision Support Tools

Validation
Utilization
Societal Benefit
5
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Bob Chen, Deputy Director, Center for
  International Earth Science Information Network
  (CIESIN), Columbia University
• Eugenia Kalnay, Distinguished University
  Professor, Department of Meteorology, University
  of Maryland
• Maria Pirone, Vice President Product and Market
  Development, Atmospheric and Environmental
  Research,Inc.
• Joe Shannon, Chief Architect, Lockheed Martin
  Space Systems Company

6
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Joe Shannon, Chief Architect, Lockheed Martin
  Space Systems Company
• Keeping in mind models and data assimilation
• What aspects of the system architecture might
  best promote an entrepreneurial environment? How
  might they be prioritized and promoted?

7
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Maria Pirone, Vice President Product and Market
  Development, Atmospheric and Environmental
  Research,Inc.
• Keeping in mind models and data assimilation
• What aspects of future product development might
  best promote an entrepreneurial environment? How
  might they be prioritized and promoted?

8

• Accelerating rate of technology growth makes it
  increasingly harder for developing nations to
  catch up
• Show one, do one, teach one
• Cuba has zero casualties for hurricanes because
  they have their act together
• Taiwan sends boats, not helicopters, for a flood

9
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Eugenia Kalnay, Distinguished University
  Professor, Department of Meteorology, University
  of Maryland
• Keeping in mind models and data assimilation
• What aspects of a robust, diverse data
  assimilation framework might best promote an
  entrepreneurial environment? How might they be
  prioritized and promoted?

10

• Refresh data base every 5-10 years
• Verification is critical to improvement (e.g., of
  economic forecasts)
• Consensus between NCEP and ECMWF? More recent is
  better, but for most applications people still
  use NCEP reanalysis.
• Consistent time series require consistent
  algorithms and models reanalysis should be a
  central component.
• Quality control metadata is available within the
  reanalysis
• Pulling in old data, from the archives, data
  recovery, could be a very important aspect of
  IEOS
• One of the major initial efforts was
  standardizing data into a common format (the
  first time there was a reanalysis)

11
Earth Observation System ArchitectureEnabling
an Entrepreneurial Environment

• Bob Chen, Deputy Director, Center for
  International Earth Science Information Network
  (CIESIN), Columbia University
• Keeping in mind models and data assimilation
• What socioeconomic aspects bear most directly on
  creation of an entrepreneurial environment? How
  might they be prioritized and promoted?

12

• People part of the equation
• Confidentiality is a stumbling block
• There was a GIS group (developed HAZUS)
  somewhere that kind of stuff got lost not making
  full use of DSTs and resources some state
  geospatial programs are farther ahead (0 to
  dozens of people in states) but very variable.
• Open source OGC vs. commercial productspart of
  the community uses each usage depends on
  features of the tools a lot of opportunity there
• Update cycles requirements on data base refresh?
  Commercial firms put out county level poulation
  estimates. Both spatial and temporal. In NYC
  using track and Slosh data, obtain various
  distributions of people depending on more precise
  data. Census is every 10 years. This is an
  opportunity, There are transients (e.g., New
  Orleans).