Difference between revisions of "Summer 2007 Session: Air quality interoperability experiment demonstrations"
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Latest revision as of 13:00, November 28, 2008
A variety of air quality web services and other service oriented architecture components have been established recently. The objective of this session is to demonstrate interoperable connections among service and discuss future interoperability among air quality services.
- Data Comparison and Reconciliation (Stefan Falke, Washington University and Northrop Grumman IT)
Numerous datasets spanning surface monitoring, satellite imagery, and model output are available through web interfaces. Each provides a unique view to particular aspects of air quality. In many cases, researchers and decision-makers are interested in comparing these datasets. Before meaningful comparisons can be calculated, differences in the spatial and temporal properties of the datasets must first be resolved. Methods for reconciliation include conversion of point data to grid formats or temporal aggregation from one resolution (e.g., daily) to another (e.g., monthly).
Web services are developed for conducting spatial and temporal reconciliation. The demonstration scenario will involve air emissions data, ambient concentration data, satellite imagery and model output that are accessed through Open Geospatial Consortium (OGC) Services, primarily the Web Coverage Service. Comparison services are provided for gridded and tabular data. Rendering services are invoked to created displays in maps, time series and tables.
- OMI NO2 (Rudy Husar and Erin Robison, Washington University)
Access and analysis of OMI
- TEXAQS (Brad Pierce, NOAA NESDIS)
Real-time aerosol/ozone assimilation/forecasting and Lagrangian analysis of regional influences on Houston/Dallas AQ. Demonstration of satellite/surface/airborne/modeling synthesis.
Contacts: Rudy Husar, email@example.com or Stefan Falke, firstname.lastname@example.org
Interested? Add your name below.
- Rudy Husar
- Stefan Falke
- Brad Pierce
- Erin Robinson