Difference between revisions of "NASA ROSES08: Regulatory AQ Applications Proposal- Technical Approach"

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* DataFed - Husar - Exceptional Events. Fan in: 50 States -> 10 EPA Regions -> 1 Federal EPA. Each transmits different pieces of information and we need to determine those pieces.
 
* DataFed - Husar - Exceptional Events. Fan in: 50 States -> 10 EPA Regions -> 1 Federal EPA. Each transmits different pieces of information and we need to determine those pieces.
  
Exceptional Events are distributed in space, need a wide variety of data and include a variety of people therefore they are good candidates for the modern decision-support systems.  Because infrastructure is so broad it can help other decision support application areas.  
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Exceptional Events are distributed in space, need a wide variety of data and include a variety of people therefore they are good candidates for the modern decision-support systems.  Because fan in - fan out data flow architecture is so broad it can help other decision support application areas.
  
 
=== Other Decision-Support Systems===
 
=== Other Decision-Support Systems===

Revision as of 23:38, June 15, 2008

Air Quality Cluster > Applying NASA Observations, Models and IT for Air Quality Main Page > Proposal | NASA ROSES Solicitation | Context | Resources | Schedule | Forum | Participating Groups
The design philosophy is of fan in-fan out. Any data is applicable to multiple benefit areas. Any benefit area needs multiple data.

Primary Decision-Support Systems

  • DataFed - Husar - Exceptional Events. Fan in: 50 States -> 10 EPA Regions -> 1 Federal EPA. Each transmits different pieces of information and we need to determine those pieces.

Exceptional Events are distributed in space, need a wide variety of data and include a variety of people therefore they are good candidates for the modern decision-support systems. Because fan in - fan out data flow architecture is so broad it can help other decision support application areas.

Other Decision-Support Systems

Same fan in - fan out data flow architecture can be used for different decision-support systems.

  • VIEWS - Brett/Shawn - Regional Haze
  • BlueSky - Sean - Smoke
  • BAMS - McHenry - Air Quality Forecasting for the public
  • HTAP - Keating - Hemispheric Transport Policy