AIP-3 Kickoff Workshop Summary Health SBA: Air Quality and Infectious Diseases Kick-off Session Leads: Stefan Falke, François MARQUES GEOSS AIP-3 Kickoff 11 -12 March 2010
Health SBA: Air Quality and Infectious Diseases
Session Attendees MARQUES François EO 2 HEAVEN / NEVANTROPIC MEIXIA Deng SFORZA Peter WATSON Kym SRI Vinay GMU Virginia Tech Fraunhofer / EO 2 HEAVEN Columbia University / CIESIN BRATINA Vojko SCHAFFER Bastian SKOULOUDIS Andreas Mc. GOVERN Lawrence LIEBERMAN Josh FALKE Stefan ROBINSON Erin DAVIES Elizabeth WHITE John HUSAR Rudolf European Commission IFGI European Commission / JRC INCOSE / TASC Traverse / OGC Northrop Grumman Washington University Northrop Grumman US EPA Washington University
Primary Participant Responses US Environmental Protection Agency - AIRNow University of Münster, Institute for Geoinformatics EO 2 Heaven Federation of Earth Science Information Partners Washington University in St. Louis CEOS WGISS Atmospheric Composition Interest Group GMU-Center for Spatial Information Science and Systems ISPRA and CSN Contributing Participants: BKG, ESA/FAO, QA 4 EO, The Univ. of Tokyo-Center for Spatial Information Science, GIGAS, geoland 2, Compusult, INCOSE, GENESI-DR, ESRI, CIESIN, PML
AQ Community AIP-3 Objectives • Increase the number of data providers with web services registered in GCI • Enhance the Air Quality Community Infrastructure • Relate the GCI to air quality decision processes
Services and Components • Data Access Services – – – AIRNow WMS, WCS Data. Fed WMS, WCS ISPRA SOS GMU WCS CEOS-WGISS WMS, WCS ifgi SOS ? • Processing Services – ifgi automated spatial interpolation WPS – GMU-CSISS geospatial processing WPS, BPELPower • Clients – – GEO AQ Community of Practice Portal GEO Portals Data. Fed Browser others • Catalogs – AQ Community Catalog
Starting Community Architecture for AIP-3
Next Steps • Inventory services and components available from AIP-3 participants and characterize (e. g. , registered in GCI, type of service, available return formats, etc) • Identify “value-adding” organizations (e. g. , Integrators) who are connected to decision support processes • Review and revise AQ Community Infrastructure • Create and refine Transverse Engineering Use Cases • Define scenario(s) that demonstrates GCI for air quality/infectious disease applications – Respiratory, asthma, allergic and cardio-vascular diseases in Dresden – Ambient Pollution and Childhood Respiratory Outcomes in Durban – Infectious disease (cholera) in Mozambique
Communication Plan • Google Sites collaboration site – ‘Expose’ through GEO AQ Community of Practice site • Telecons (Bi-weekly) – Will soon define date/time • Liaisons to other working groups
BACKUP SLIDES
Mapping to other WGs (Transverse and SBA) • • • Data Sharing Use Case Semantics and Vocabulary Other Water Quality Disaster Management
Characterizing Services • Type (WCS, SOS, WPS, WMS) • Metadata record • Register in AQ Community Catalog
Schedule • Inventory of services, clients and capabilities for AIP-3 – April 1 • Make accessible through GCI • Evaluate usability via GCI • Develop specific AIP-3 scenario to exercise Transverse Use Cases
Air Quality Scenario Objectives Support the Development of a Functioning AQ System of Systems by 2015 By Connecting AQ Data Providers to Users Publishing Data with Standard Discovery Metadata Finding Data through a Data Catalog Accessing Data through Standard Interfaces AQ Community GEO AQ Community of Practice GEO Process
General search and use of GEOSS data and services Air Quality Community Catalog Users GEOSS Common Infrastructure AQ-specific search and use of GEOSS data and services Data. Fed EDAC NGC Giovanni SEDAC ESA Data Providers AIP-2 Workspace: https: //sites. google. com/site/geosspilot 2/air-quality-and-health-working-group
Air Quality Scenario Focus Areas • • Real-Time Large-Scale Event Analysis Assessment of Intercontinental Transport Air Quality Forecasting Information to the Health Community & the Public Key Actors: Data Providers, Analysts, IT, AQ Decision Makers
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