1. GEOSS ADC Air Quality & Health Scenario John E. White U.S. Environmental Protection Agency white.johne@epa.gov

2. Air Quality Scenario Air Quality Scenario Development Process Scenario was developed iteratively by a collaborating multi-organization group Used the ESIP wiki and telecons to discuss and develop the submitted scenarioESIP wikidiscuss This Community of Practice is to co-evolve with the AIP Pilot and other activitiesCommunity of Practice Community of Practice Wiki for AQ Scenario

3. Air Quality & Health Scenario Air pollution is a serious global public health problem Air pollution is influenced by processes on local, regional, intercontinental, and global scales To better understand, forecast, and manage air pollution, there is a need to bring together information from –different observational platforms (surface monitoring networks, satellites, sondes, ground-based remote sensors, aircraft,...) –meteorological and chemical transport models –emissions and emissions-generating activities –population demographics, exposure-related behavior, and health impacts do not respect political boundaries

4. Air Quality & Health Scenario: Actors Earth Observations Providers –National, State/Provincial, Local Environmental Management Agencies; National Meteorological Agencies; National Space Agencies; National Land Management Agencies; Industry; Consultants; Academic and Other Research Institutes; and international cooperative fora (e.g. WMO, CEOS, EEA,...) Other Related Information Providers –National, State/Provincial, Local Commerce/Transportation/Energy/Land Use/Health Authorities; Industry; Consultants; Academic and Other Research Institutes Air Quality Modelers, Forecasters, and Analysts –National, State/Provincial, Local Environmental Management Agencies; National Meteorological Agencies; National Space Agencies; Industry; Consultants; Academic and Other Research Institutes; and international scientific cooperative fora or projects (e.g., IGAC, GEMS, ECMWF, EMEP,...) Information Management Specialists –National, State/Provincial, Local Environmental Management Agencies; National Meteorological Agencies; National Space Agencies; National Land Management Agencies; Industry; Consultants; Academic and Other Research Institutes Air Quality Management Decision-Makers –National, State/Provincial, Local Environmental Management Agencies and Multi-lateral Cooperative Fora (such as LRTAP Convention, EANET, Male Declaration, CAI-Asia, Arctic Council,...); Industry Other Consumers of Air Quality Information –the general public; National, State/Provincial, and Local Health and Emergency Response Authorities; Academic and Independent Research Institutes (including health and environmental impacts research); Mass Media (including television, newspapers, radio, internet,...)

5. Air Quality & Health:Starting Information Meteorological data –Observations from ground-based networks, satellites, sondes –Forecasts from numerical models at the global and regional scales Geographical data –Land use –Demographics –Emissions-related activity Atmospheric Composition (Air Quality) Observations –Surface Monitoring Networks –Satellite Observations –Sondes –Ground-based remote sensors –Aircraft Measurements Numerical Air Quality Chemical Transport Models –(at regional to global scales)

6. Air Quality & Health Scenario: Focus Areas Real-Time Large-Scale Event Analysis –FASTNET, IDEA, SmogBlog Assessment of International and Intercontinental Transport of Air Pollution –HTAP Data Network, AMET, RSIG, HemiTap Assimilation of Observations for Air Quality Forecasting –GEMS, RAQMS Provision of Relevant Information to the Health Community & the Public –AIRNow, PHASE

7. Examples – pieces of the puzzle GAW: WMO Global Atmosphere Watch

8. Examples – pieces of the puzzle GAW: WMO Global Atmosphere Watch

9. Examples – pieces of the puzzle GAW – WMO Global Atmosphere Watch

10. Examples – pieces of the puzzle GEMS: Global & regional Earth system Monitoring using Satellites (ECMWF)

11. Examples – pieces of the puzzle Informing the public about Air Quality & Forecasts in real time: AirNow

12. Examples – pieces of the puzzle GAW – WMO Global Atmosphere Watch

13. Interoperability NEEDED! Many Systems, many pipes…. we shouldn’t keep reinventing wheels!