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NASA  REASoN   Project SHAirED:   S ervices   for   H elping the   Air -quality Community use  E SE   D ata Stefan Falke, Kari Höijärvi and Rudolf Husar, Washington University, St. Louis Description & Objectives Approach Partners: NASA-Langley, EPA-OAQPS, RPOs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],October 2004 Applications  – Integration of satellite imagery with surface data and model output in air quality research and management, such as real-time aerosol tracking and smoke management
NASA  REASoN   Project SHAirED:   S ervices   for   H elping the   Air -quality community use  E SE   D ata Stefan Falke, Kari Höijärvi and Rudolf Husar, Washington University in St. Louis October 2004 ,[object Object],[object Object],[object Object],[object Object],[object Object],Objective:  Deliver and use Earth Science Enterprise (ESE) data and tools in support of particulate  air quality management  and develop a federated AQ information sharing network that includes data from NASA, EPA, and US States. DataFed  provides the web infrastructure that supports collaborative atmospheric data sharing and development of processing web services. A primary objective of SHAirED is to develop new IT that advances the TRL of DataFed. Web Application ,[object Object],[object Object],[object Object],Approach:
Wrappers Turn data access into services Web Services Reusable, chainable ‘Lego’ software blocks Chaining Applications from loosely coupled blocks
[object Object],Data Flow & Processing in AQ Management Driving Forces :  Provider Push  User Pull AQ DATA EPA Networks IMPROVE Visibility  Satellite-PM Pattern  METEOROLOGY Met. Data  Satellite-Transport  Forecast model EMISSIONS National Emissions  Local Inventory  Satellite Fire Locs Status and Trends AQ Compliance Exposure Assess. Network Assess. Tracking Progress AQ  Management  Reports ‘ Knowledge’ Derived from Data Primary Data  Diverse Providers Data ‘Refining’ Processes  Filtering, Aggregation, Fusion Web Services
Service Oriented Architecture: Data AND Services are Distributed  ,[object Object],Data, as well as services and users (of data and services) are distributed Users compose data processing chains form reusable services Intermediate and resulting data are also exposed for possible further use Processing chains can be further linked into complex value-adding data ‘refineries’ Service chain representation User Tasks: Fi nd data and services Compose service chains Expose output  User Carries less Burden In service-oriented peer-to peer architecture, the user is aided by software ‘agents’ Control  Data Process Process Process Data Service Catalog Process Chain 2 Chain 1 Chain 3 Data Service
Generic Data Flow and Processing for Analysis Multi-Dimensional Data Model DataView 1 Physical Data Abstract Data Abstract data slices are requested by viewers; uniform data are delivered by  wrapper  services DataView 2 DataView 3 View Data Processed data are delivered to the user as multi-layer views by  portrayal and overlay web services Processed Data Data passed through filtering, aggregation, fusion and other  processing web  services
A Wrapper Service: TOMS Satellite Image Data ,[object Object],[object Object],[object Object],src_img_width src_margin_rightt src_margin_left src_margin_top src_lon_min src_lat_max src_lat_min src_lon_max The daily TOMS  ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y2000/ea000820.gif Data Access Template: ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y[yyyy]/ea[yy][mm][dd].gif

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2004-10-15 SHAirED: Services for Helping the Air-quality Community use ESE Data

  • 1.
  • 2.
  • 3. Wrappers Turn data access into services Web Services Reusable, chainable ‘Lego’ software blocks Chaining Applications from loosely coupled blocks
  • 4.
  • 5.
  • 6. Generic Data Flow and Processing for Analysis Multi-Dimensional Data Model DataView 1 Physical Data Abstract Data Abstract data slices are requested by viewers; uniform data are delivered by wrapper services DataView 2 DataView 3 View Data Processed data are delivered to the user as multi-layer views by portrayal and overlay web services Processed Data Data passed through filtering, aggregation, fusion and other processing web services
  • 7.