Smoke Event 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 Chem

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 Re-Use and Synergy Data producers maintain their own workspace and resources (data, reports, comments). Part of the resources are shared by creating a common virtual resources. Web-based integration of the resources can be across several dimensions: Spatial scale:Local – global data sharing Data content:Combination of data generated internally and externally The main benefits of sharing are data re-use, data complementing and synergy. The goal of the system is to have the benefits of sharing outweigh the costs. Content User Local Global Virtual Shared Resources Data, Knowledge Tools, Methods User Shared part of resources

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. VIEWSRPO NASA NAAPS RPO Federated Data System Data, Tools, Methods SharedPrivate RPO Other Federations Applications PM Policy Regulation Mitigation

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” This brings data closer to the user Each portal can serve different clientele Conditions is open architecture so that the resources can be reconfigured into many different “views” through the different portals User communities

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

Integration for Global-Local Activities Global Activity Local Benefit Global data, tools => Improved local productivity Global data analysis => Spatial context; initial analysis Analysis guidance => Standardized analysis, reporting Local Activity Global Benefit Local data, tools => Improved global productivity Local data analysis => Elucidate, expand initial analysis Identify relevant issues => Responsive, relevant global work AQ data analysis needs to be performed at both global and local levels The ‘global’ view (regional & global) establishes the larger-scale context ‘Local’ perspective focuses on the specific and detailed local features Global-local information exchange is needed for effective management.

Data Acquisition and Usage Activities Need similar generic pic for analysis

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 …

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 NASA ESE data, tools and methods can benefit air quality (AQ) management through extended monitoring, data sharing tools and better science. The proposed project focuses on air quality management of particulate matter (aerosols).

Sensory-Motor Response to Changes Regardless whether the Earth is considered ‘healthy’ or ‘sick’, the inevitable and unforeseeable environmental changes require response to these changes: The response includes the following major steps: The above three steps are the necessary conditions for sustainable development. This is logical since all living organisms use this type of sensory-motor feedback to maintain their existence. Sensing and recognition (monitoring) Reasoning and explaining (sciences) Decision making, action (management)

Instrument Builders Information Specialists (ESIP) Scientists Curriculum Developers Teachers Decision Analysts Decision Makers Reports From Kim Kastens Value Chain for Decision Support Systems Same as for Education Divide Characterization/Tailoring DSS-Specific Processes supported by AQ Cluster

Air Quality “Core” Network Core network abides core functionality Consists of a modest number of stable nodes Nodes are willing and eager network participants. Core nodes are connected to produce value through compound services. Core robustness arises from redundancy, practice,… Candidate Nodes: Unidata NCDC HMS VIEWS AirNOW OnEarth Chem Models

Intellectual Mashup Meteorologist Chemists Health Remote Sensing Analytical Monitors Unidata-Air Pollution

Decision-Making Groups: –Policy –Management –Public Use Cases: –Policy: Hemispheric transport –Management: Smoke Event –Public: Smoke Event Infosystem: –Architecture –Engineering –Technology GEOSS Support to Air Quality –Data. Services –Sharing/Harvesting Infrastructure –Intellectual Resources Air Quality Support to GEOSS –Well-defined Management Structure –Use Cases for GEOSS architecture

GEOSS and National/Local Air Quality Assessment GEOSS Contr. Local Air Quality Benefit Global data, tools => Broader context, cost savings Global analysis => Spatial context, Characterization Intellectual Resources => Collaboration, Analysis Local AQ Contr. GEOSS Benefit Local data, tools => Enriched global resource pool Local data analysis => More detail, insights, Intellectual Resources => Collaboration, Analysis The GEOSS view (regional & global) establishes the larger-scale context ‘Local’ perspective focuses on the specific and detailed characterization of local features AQ data analysis needs to be performed at both through GEOSS and national/local programs GEOSS Information Architecture needs to support Global-local information exchange. Air Quality Contributions to GEOSS: Use cases for demonstrating GEOSS architecture