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Topic Suggestions Scheffe GEOSS Support to Regional Air Quality (see next slide) –Data. Services –Sharing/Harvesting Infrastructure –Intellectual Resources.

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Presentation on theme: "Topic Suggestions Scheffe GEOSS Support to Regional Air Quality (see next slide) –Data. Services –Sharing/Harvesting Infrastructure –Intellectual Resources."— Presentation transcript:

1 Topic Suggestions Scheffe GEOSS Support to Regional Air Quality (see next slide) –Data. Services –Sharing/Harvesting Infrastructure –Intellectual Resources Regional Air Quality Support to GEOSS –Well-defined App area (??) Other ??? Husar Use Cases: –Policy: Hemispheric transport –Management: Smoke Event –Public: Smoke Event AQ Infosystem for GEOSS: –Architecture –Engineering –Technology

2 GEOSS and National/Regional Air Quality Assessment GEOSS GlobalLocal Air Quality Benefit Global data, tools => Broader context, cost savings Global analysis => Spatial context, Characterization Intellectual Resources => Collaboration, Analysis Regional GEOSS Benefit Local data, tools => Enriched global resource pool Local data analysis => More detail, insights, Intellectual Resources => Collaboration, Analysis The GEOSS global view establishes the larger-scale context Regional perspective focuses on the detailed characterization of local features AQ data analysis needs to be performed at both through GEOSS and regional programs GEOSS Information Architecture needs to support global-regional information exchange.

3 Data Acquisition and Usage Activities Need similar generic pic for analysis

4 The Network Effect: Less Cost, More Benefits through Data Multi-Use Program Public Data Organization Data Program Organization Data Program Data Orgs Develop Programs Programs ask/get Data Public sets up Orgs Pay only once Richer content Less Prog. Cost More Knowledge Less Soc. Cost More Soc. Benefit Data Re-Use Network Effect Data are costly resource – should be reused (recycled) for multiple applications Data reuse saves $$ to programs and allows richer knowledge creation Data reuse, like recycling takes some effort: labeling, organizing, distributing Data Reuse

5 Instrument Builders Information Specialists Scientists Analysts Curriculum Developers Teachers Decision Analysts Decision Makers Reports Adopted from Kim Kastens Value Chain for Education and Decision Support Systems Slide Needs work Divide Characterization/Tailoring DSS-Specific Processes supported by Support by ESIP AQ Cluster General Characterization Intellectual Mashup Chemists Meteorologists Modelers Remote Sensing Info Specialists …..

6 Replace cube with standard interface For reusable data flow indicate homogenization for reusability (wrappers)

7 Federated Information System Data producers maintain their own workspace and resources (data, reports, comments). However, part of the resources are shared through a Federated Information System. Web-based integration of the shared resources can be across several dimensions: Data sharing federations: Open GIS Consortium (GIS data layers) NASA SEEDS network (Satellite data) NSF Digital Government EPA’s National Env. Info Exch. Network. VIEWS RPO RPO Federated Data System Data, Tools, Methods SharedPrivate RPO Other Federations Applications PM Policy Regulation Mitigation Unidata Portal ESIP Portal Portal Data to be “dispersed” to multiple “portals”, each serve different clientele Open architecture allows portals to reconfigure resource collections User communities

8 Staged Data Integration? Staged portal Monitor Store Data 1 Monitor Store Data 2 Monitor Store Data n Monitor Store Data m Integrated Data1 Virtual Int. Data Integrated Data2 Integrated Data3 System integrates foreword from provider to the users So that user can find/monitor content User can navigate backwards toward the provider PoP – harvester Oodle! CNet … Needs work!

9 “Core” Air Quality Information Network Consists of limited number of stable nodes Provides core functionality Members are eager network participants. Well connected; value through compound services. Network robustness arises from redundancy, practice,… Candidate Nodes: EPA:AIRS, AirNOW, VIEWS NOAA: NCDC, HMS NASA: OnEarth, INTEX Model Other: Unidata

10 AQ Management: Sensory-Motor System Air Quality Assessment Compare to Goals Plan Reductions Track Progress Controls (Actions) Monitoring (Sensing) Set Goals CAAA NAAQS Assessment turns data into knowledge for decision making & actions through analysis (science & engineering) Monitoring collects multi-sensory data from surface and satellite platforms and

11 Real-time Smoke Event DSS: Data Sources and Decision Support Systems Public EPA NAAQS Exc. Events States: AQ Warning NOAA Travel Advisories AQ Forecasting FAA Flight Advisories NASA Earth Obs: Public SatModis Mod Vis PM25 SatTOMS SatGOES Chemistry

12 Global Datasets

13 National Datasets

14 Fusion

15 Model-Data Information System of Systems In both systems the data are homogenized and shared through their respective “portals” In DataFed, the two data streams are accessed and fused to yield a model-data comparison The model simulations are gathered from their providers in their AEROCOM “system” The aerosol chemistry data are gathered from multiple networks in the VIEWS “system” AEROCOM Chemical Models VIEWS Chemical Data Models Monitoring Networks CAPITA Model- Data Comparison Analyses, Application VIEWS AEROCOM Federated Data System Observations, Models, Services CAPITA Other Federations Obs Models Obs & Services Services Obs & Model Models & Services Media tor Mediated Peer-to Peer Network Aggregate data are available to other analysts through a standard interface because time aggregate service…


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