3. Terrestrial Airborne Near-Space LEO/MEO Commercial Satellites and Manned Spacecraft Far-Space L1/HEO/GEO TDRSS & Commercial Satellites Deployable Permanent Coordinating Earth Observing Systems Forecasts & Predictions Aircraft/Balloon Event Tracking and Campaigns User Community Vantage Points Capabilities

4. ` Products Products State & Local Canadian Providences NOAA NWS HHS CDC-EPHTN Aerosol Optical Depth (GASP) TERRA MODIS AQUA MODIS Products CMAQ Forecast Data US EPA AQS Products SLAMS/NAMS SURACE PM 2.5 Data Air Quality/Public Health NTO Integrated Observed-Modeled Air Quality Fields Products Spatial surface Predictions Satellite/Model/Surface Data Fusion State Public Health Departments ~10:30 local overpass ~1:30 local overpass Algorithms/QA NASA GFSC Science Team NASA GFSC DACC *Note: Regional East Atmospheric Lidar Mesonet (REALM) is university led federated network by UMBC and is identified as a NTO in the implementation plan. Products Aerosol Optical Depth (MOD04_L2) NOAA NESDIS NOAA NESDIS/ORA & CREST Institutes ? UMBC CREST Institute GEOS-12 CONUS every 30 minutes REALM Continuous Vertical Resolution Data Products Algorithms/QA EPA OAR & ORD Products CMAQ Assessment Data Products Studies and Impacts to human health US EPA OAQPS/ORD/OEI RSI Gateway

5. P. Dickerson, EPA

6. http://www.igospartners.org/ http://earthobservations.org/ http://www.epa.gov/ttn/amtic/monstratdoc.html National Ambient Air Monitoring Strategy Office of Air Quality Planning and Standards Research Triangle Park, NC December 2005 http://www.al.noaa.gov/AQRS/ reports/monitoring.html http://www.empa.ch/gaw/gawsis/ http://www.nesdis.noaa.gov/ http://www.emep.int/ CENR/AQRS GEOSS NOAA CMDL NOAA NESDIS EMEP R. Scheffe http://www.fz-juelich.de/icg/icg-ii/iagos/ http://www.fz-juelich.de/icg/icg-ii/mozaic/home http://www.cmdl.noaa.gov/ Barrow Mauna Loa Trinidad Head A. Samoa S. Pole L2 NCORE L3 L1 GAW

7. The Scheffe Challenge: Organizations - Programs – Data: A Mess Info System Challenges: What’s the overall dependency Information Flow Forces and Controls on Data Flow Cooperation, Competition, Co-Opetition GEOSS Eco-informatics Accountability/ indicators SIPs, nat.rules designations PHASE PM research Risk/exposure assessments AQ forecasting Programs NAAQS setting EPA NOAA NASA NPS USDA DOE Private Sector States/Tribes RPO’s/Interstate Academia NARSTO NAS, CAAAC CASAC, OMB Enviros Organizations CDC Supersites IMPROVE, NCore PM monit, PAMS CASTNET Lidar systems NADP Satellite data Intensive studies PM centers Other networks: SEARCH, IADN.. Data sources CMAQ GEOS-CHEM Emissions Meteorology Health/mort. records

8. Relationship Between Organizations - Programs – Data Version 0.1 Goals $$ Info needs, $$ Data need, $$ Judge, Decide, Act Analyze, Report Actionable Knowledge Decision, Action Public Measure, Organize Organized Data Flow of Information Data systems organize the measurements and models and provide them to programs. Programs analyze the data and provide actionable knowledge to organizations. Organizations evaluate multiple information sources, make decisions and act. Flow of Control Public and special interest groups set up organizations and provides them with funding Organizations develop programs, define their scope, governance and funding Programs satisfy their information needs by monitoring or by using other’s data Data sources acquire the data for their parent programs and also expose them for reuse

11. GEOSS Architecture and Interoperability

12. Screencast: Information Landscape

13. Screencast: Info System Screencast

14. Screencast: DataFed Technologies

15. Screencast: DataFed Tools

17. KMZ: Google Earth-DataFed Mashup GA Smoke Global Chem

19. Networking Multiplies Value Creation Application Data 1 User Stovepipe Value = 1 1 Data x 1 Program = 1 Enclosed Value-Creating Process - ‘Stovepipe’

20. Application Data Application Application Application Application Stovepipe 1 User Stovepipe Value = 1 1 Data x 1 Program = 1 5 Uses of Data Value = 5 1 Data x 5 Program = 5 Networking Multiplies Value Creation

21. Networking Multiplies Value Creation Merging data may creates new, unexpected opportunities Not all data are equally valuable to all programs 1 User Stovepipe Value = 1 1 Data x 1 Program = 1 5 Uses of Data Value = 5 1 Data x 5 Program = 5 Open Network Value = 25 5 Data x 5 Program = 25 Data Data Data Data Data Stovepipe Application Application Application Application Application

23. Integrated observation-modeling complex – R. Scheffe Optimized PM2.5, O3 Characterizations Health Air management ecosystems Land AQ Monitors Total column depth (through Satellites) AQ model results Vertical Profiles Integrated Observation- Modeling

25. NAAMS: National Ambient Air Monitoring Strategy and NCore … coordinated multi-pollutant real-time monitoring network

26. Public Information Health/Exp. Assessment Emissions Planning AQ Trends and Accountability Science Support NAAQS National Air Quality Information Integration AQ Data Pool National Air Quality Info Network Re-examination of Data Access and processing Systems Pooling of data/info resources for re-use in multiple applications; a la GEOSS

27. Sensing Revolution Web 2.0

29. DataFed Applications (2002-2007) Science Mystery (Nitrate?) Events Data Integration (PM-Bext; NO2 Sat-Surf; AQ Event Detection Algorithms AQ Management Exceptional Event Analysis (EPA – N. Frank) Network Assessment (EPA – R. Scheffe) Fire-Smoke, Global Emissions (EPA – T. Keating) FASTNET, CATT Tools, S/R Analysis (RPO – R. Poirot) IS Networking Infrastructure NASA/ESIP Web Services, SAO (NASA – L. Friedl, K. Moe) GEOSS Interoperability Demos (Wash. U) HTAP Network, Integration (EPA – Keating)

30. FASTNET Report: 0409FebMystHaze (RPO – R. Poirot) Mystery Winter Haze: Natural? Nitrate/Sulfate? Stagnation? Contributed by the FASNET Community, Sep. 2004 Correspondence to R Husar , R Poirot Coordination Support by Inter-RPO WG Fast Aerosol Sensing Tools for Natural Event Tracking, FASTNET NSF Collaboration Support for Aerosol Event Analysis NASA REASON Coop EPA -OAQPS AIRNOW PM25 - February Sulfate-driven Jul-Aug peak Feb-Mar peak, of unknown origin

33. Speciated PM Network Assessment (EPA – R. Scheffe) CIRA/ VIEWS Database CAPITA/ DataFed Database Network Assessment PPT IMPROVE EPA SPEC CIRA Tools and Processes DataFed Tools and Processes Analysis Tools and Processes Speciated Data Flow and Processing EPA NCore Process Evaluation, Feedback

34. Distributed Fire Data Sources (S. Falke, EPA, NASA) Numerous state, regional, and national fire related databases and online access applications exist. The challenge is to bring them together, on-the-fly, without requiring substantial changes to the underlying systems. Also need to access data sources that are not “Web-ready”. BlueSkyRAINS GeoMAC WFAS USGS NOAA UMaryland

35. Combined Aerosol Trajectory Tool, CATT (RPO – R. Poirot) Next Process Next Process Aerosol Data Collection IMP. EPA Aerosol Sensors Integration VIEWS Integrated AerData AEROSOL Weather Data Assimilate NWS Gridded Meteor. Trajectory ARL Traject.Data TRANSPORT TrajData Cube Aggreg. Traject. AerData Cube CATT Aggreg.Aerosol CATT-In CAPITA CATT-In CAPITA Trajectory Browser Kitty: Simple CATT CATT Transport Analyzer

36. HTAP Data Network (EPA – T. Keating) TF HTAP Workshop Forshungszentrum Juelich, Oct 17-19, 2007, Juelich, Germay Application Examples for NOx Analysis Collaborators: Rudolf Husar , Washington U. St. Louis Stefan Falke , Northrop, Wash U. Greg Leptoukh , NASA, Goddard Martin Schultz , FZJ, Juelich

37. GEOSS Interoperability Demos (Washington Univ.) Beijing Barcelona Denver

40. Air Quality Management System: Components and Functions Public Analyzing Interpreting Evaluating Separating Synthesizing Organizing Quality control Formatting Documenting Displaying Deciding Evaluate options Matching goals Compromising Choosing Data Manager, Organizer Technical Analysts, Program Manager Policy Analysts, Decision Maker Value Adding Processes Human Agents Decision Support System (DSS) The primary purpose of data systems is to mediate between data providers and programs/projects Programs perform analysis for Orgs., the DSS is within programs The big decisions of societal importance are done by Organizations (This needs more wisdom from the practioners)

41. Flow of Data and Usage Control Data Control Requesting Information Providing Information Sensors Acquisition processing User Programs NAAQS SIPs Forecast GEOSS … Info System Negotiating Space Domain Processing Data Sharing Std. Interface Gen. Processing Std. Interface Data Control Reports Reporting Obs. & Models Decision Support System User Agencies

42. DataFed Tools - Subset Consoles: Data from diverse sources are displayed to create a rich context for exploration and analysis CATT: Combined Aerosol Trajectory Tool for the browsing backtrajectories for specified chemical conditions Viewer: General purpose spatio-temporal data browser and view editor applicable for all DataFed datasets

44. FASTNET and DataFed FASTNET (Fast Aerosol Sensing Tools for Natural Event Tracking) an open communal information sharing facility to study aerosol events , including detection, tracking and impact on PM and haze. The main asset of FASTNET is the community of data analysts, modelers, managers participating in the production of actionable knowledge from data and models The community is supported by a non-intrusive data integration infrastructure based on Internet standards (web services) and a set of web-tools evolving under the federated data system, DataFed DataFed is supported by its community and is under the umbrella of the interagency Earth Science Information Partners, ESIP (NASA, NOAA and EPA)

45. Emerging Air Quality Data Flow Network OGC WCS Data Access Protocol GEOSS Provides SOA for Coupling for Autonomous Nodes Facilitates Publishing, Finding and Accessing Data

49. The Information Interoperability Stack

50. Imagine…More Shared Obs & Models…. On Your Fingertips or Google Earth.. 2007++ More Global Data & Models 2007 Global Data & Models

52. Asian Dust Cloud over N. America On April 27, 1998 the dust cloud arrived in North America. Regional average PM10 concentrations increased to 65 mg/m 3 In Washington State, PM10 concentrations exceeded 100 mg/m 3 Asian Dust 100  g/m 3 Hourly PM10

53. Aircraft Detection of Siberian Forrest Smoke near Seattle, WA Jaffe et. al., 2003