AIP CFP AQ Responses

From Earth Science Information Partners (ESIP)
Revision as of 04:38, September 17, 2008 by Stefan Falke (Sfalke) (talk | contribs)

Summary from OGC AIP Committee

  • Primary responses: EPA, ESIP AQ Cluster, ICT4EO, ISPRA, Northrop Grumman, VIEWS, Washington Univ
  • Contributing responses: CIESIN, Compusult, ESA, ESRI, GOES-R and GMU, INCOSE, NASA World Wind, NOAA NCDC GOSIC, NOAA SNAAP
  • Topics
    • Air Quality and Human Health
    • Proposing formation of a GEOSS Air Quality Community of Practice
    • Wildland fire example
    • AIRNow system proposed with interoperable interfaces
    • user-defined areas for selected variables calculated by WPS
    • SensorWeb which might apply best to AirQuality if the air sensors
    • State of environment, emissions, and human health.
    • intercontinental pollutant transport model
    • Decision system pattern for AQ
    • Global surfaces of population counts, densities, and quality measure of population-weighted mean geographic unit area, at two scales.
    • Development of RM-ODP viewpoint descriptions

Further Analysis

EPA

Key Personnel

Phil Dickerson, EPA (attending AIP)
Tim Dye, Sonoma Technology, Inc.

Scenario

Mentioned Northern California Fires of 2008 Interested in working with GEO AIP community to refine scenario.

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
  • Interested in further definition for KML, WCS, WMS and other relevant GEO standards for air quality data.
  • Want to work with GEO AIP to develop interoperable tools and techniques to include "non-traditional" data in AIRNow
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
  • AirNow (AirNow Gateway)
  • AirNow-International (AirNow Info-service)
Test Facility

ESIP AQ Cluster

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

ICTeEO

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

ISPRA

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

Northrop Grumman

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

VIEWS

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

Washington Univ

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility