Difference between revisions of "Summer 2007 Session: Air quality interoperability experiment demonstrations"
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A variety of air quality web services and other service oriented | A variety of air quality web services and other service oriented | ||
| − | architecture components have been | + | architecture components have been established recently. The objective |
| − | of this session is to demonstrate interoperable connections among | + | of this session is to demonstrate interoperable connections among services |
and outline the process for connecting services. | and outline the process for connecting services. | ||
| − | The demonstration scenario will involve air emissions data, ambient | + | '''Use Case 1''' |
| − | concentration data, satellite imagery and model output that are | + | 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 | accessed through Open Geospatial Consortium (OGC) Services, primarily | ||
| − | the Web Coverage Service. | + | 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. | to created displays in maps, time series and tables. | ||
| − | + | Contacts: Rudy Husar, rhusar@me.wustl.edu or Stefan Falke, stefan.falke@ngc.com | |
| − | + | ||
| − | + | '''Interested? Add your name below.''' | |
| − | + | *Rudy Husar | |
| + | *Stefan Falke | ||
Revision as of 15:01, May 25, 2007
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 services and outline the process for connecting services.
Use Case 1 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.
Contacts: Rudy Husar, rhusar@me.wustl.edu or Stefan Falke, stefan.falke@ngc.com
Interested? Add your name below.
- Rudy Husar
- Stefan Falke
