110509 aq co_p_solta

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  • There are numerous Earth Observations that are available and in principle useful for air quality applications such as informing the public and enforcing AQ standards. However, there are a multitude of interoperability hurdles hurdles facing this community (can be extended to broader Earth science community) that users face – finding, accessing, quality and data fusion issues. It is redundant for each project to figure out the same things. Coordinating acr Therefore the AQ community has come together to work toward a single interoperability framework that allows them to be used via various subsets and combinations to support specific research and decision applications
  • The vision is to have these data available through an interoperability framework that allows them to be used via various subsets and combinations to support specific research and decision applications There are numerous Earth Observations that are available and in principle useful for air quality applications such as informing the public and enforcing AQ standards. However, connecting a user to the right observations or models is accompanied by an array of hurdles. The GEOSS Common Infrastructure allows the reuse of observations and models for multiple purposes
  • 110509 aq co_p_solta

    1. 1. Workshop onNetworking Air Quality Observations and Models: Motivation: “From Observations to Decision Support” at session 34-3, ISRSE 33, May 2009, Stresa, IT Challenge: The road to data driven decisions support is littered with wrecks. Day 1: State of AQ Interoperability Day 2: Technical Discussion Day 3: Consensus? What Next? Points of Contact: Rudolf Husar (rhusar@wustl.edu), Martin Schultz (m.schultz@fz-juelich.de) Šolta, Croatia, August 24-26, 2011
    2. 2. Workshop Goals (Bravo Martin!)•Get to know each other•Identify core AQ applications and sharable data sets•Exchange state-of-the-art, interoperability practices•Address technical and programmatic issues•Have fun
    3. 3. Preliminary Agenda•Wednesday, 25 Aug: State of AQ Interoperability – Participant presentations – Integrating Initiatives, Agencies, ‘End Users’, their needs, roles – GEO AQ CoP role, relationships, contributions•Thursday, 26 Aug: Technical Realization of Interoperability – Syntactic issues (Improved standards? WCS, WMS, CSW…; netcdf, other formats) – Semantic issues (Metadata for finding and understanding data? CF? ) – Programmatic issues (Which data can be shared by whom? Data versions, etc.?)•Friday, 27 Aug: Outcomes. Consensus? Next? – What few things must be the SAME, so that everything else can be DIFFERENT? – How can we collaborate? Interact with other Initiatives, Agencies, Users? – Do we have common long-term goals? Next steps?
    4. 4. Air Quality Data Network• Uses OGC standards (.. netCDF), CF Conventions, ISO metadata• Share software code, best practices• Seven servers, three clients (HTAP, MACC, ACP, EE, EMEP, VIEWS, PHAROS, CIERA,RSIG,..)• AQ Community Catalog for finding• Test app. for EPA Except. Events AQ Data Network is still fragile, incomplete AQ Data Find & Access and inadequate for real apps, but demonstratesfine grained data networking with GEOSS AQ Data Network: infrastructure and process Servers
    5. 5. MARKET
    6. 6. GEOSS Goal:Facilitate access and integration of a broad range of EOs to SBAs, including Air Quality
    7. 7. From Observations to Decisions Spectrum of User CommunitiesEarth Obs. EO Service Discipline EnvHealth EnvPolicy Public && Modeler Provider Scientist Model, Res & Manager Officials Spectrum of Activities and ApproachMeasuring InfoProc. & SciKnow Decision Decision Assessing& Modeling Distributi Creation Support Making Benefit Maps on to the GEO Framework Value-adding processes color chart here Problem: Which distributor? Sci Team? Decision Support – herre the cocneptual breaks down..need to go experimental - observational In there pattern in the emerging information ecosystem
    8. 8. From Observations to Decisions Spectrum of User Communities Earth Obs. EO Service Discipline EnvHealth EnvPolicy Public & & Modeler Provider Scientist Model, Res & Manager Officials Spectrum of Activities and Approach Measuring InfoProc. & SciKnow Decision Decision Assessing & Modeling Distribution Creation Support Making Benefit Data Portals AQ Science TeamsVIEWS - Visibility Information Exchange Web System TF HTAP Task Force, Hemispheric Transport of Air Pollutants AQ Decision Support Sys. VIEPA RSIG - Remote Sensing Information Gateway EWS - Visibility Information Exchange Web SystemEPA AQS - Air Quality System NASA AQAST - Quality Applied Science Team TF HTAP Task Force, Hemispheric Transport of Air PollutantsNASA GIOVANNI - Data & Information Services Center ESA CCI Aerosol: Climate Change Initiative for Aerosols MACC: Monitoring Atmospheric Composition and Climate GMESEBAS - Norwegian Institute of Air Research EPA - Exceptional Air Pollution Event Analysis GMES MACC: Monitoring Atmospheric Composition and Climate DataFed - Federated Data Systems for Air Quality DataCEOS ACP: Atmospheric Composition PortalCIERA: Comm. Initiative for Emissions Res. & Apps. EPA - Exceptional Air Pollution Event AnalysisGMES MACC: Monitoring Atm. Composition and Climate AeroCom - Aerosol Model Inter-comparison Project
    9. 9. The era of a single data provider, the individual scientist or the lone decision supporter is over. There is a new pattern emerging in the maturing information ecosystem Data Portals aggregators of many data streams Data Portals AQ Science Teams AQ Decision Support Systems Data Aggregators for Science Collectives and Data Driven Analysis and Easier Access Collaboratives PrognosisVIEWS - Visibility Information Exchange Web System TF HTAP Task Force, Hemispheric Transport of AirVIEWS - Visibility Information Exchange Web System PollutantsEPA RSIG - Remote Sensing Information Gateway NASA AQAST - Quality Applied Science Team TF HTAP Task Force, Hemispheric Transport of Air Pollutan GMES MACC: Monitoring Atmospheric Composition and CliEPA AQS - Air Quality System ESA CCI Aerosol: Climate Change Initiative for AerosolsExceptional Air Pollution Event Analysis EPA -NASA GIOVANNI - Data & Information Services Center GMES MACC: Monitoring Atmospheric Composition and Climate Data Systems for Air Quality Data DataFed - FederatedEBAS - Norwegian Institute of Air Research EPA - Exceptional Air Pollution Event AnalysisCEOS ACP: Atmospheric Composition Portal AeroCom - Aerosol Model Inter-comparison ProjectCIERA: Comm. Initiative for Emissions Res. & Apps.GMES MACC: Monitoring Atm. Composition and Climate This is a good thin for the Earth System & GEOSS since it does not have to support individuals but can fucus on fewer groupings Implicit structure Cascading multi-stage process al la the economy-of- scale
    10. 10. Value Adding Groups Felicitators, Connectors GEOSS AIP Architecture Implementation Pilot | OGC Network EPA Data Summit GO-ESSP: Global Org. for Earth System Science Portals EU EGIDA - Coord. Cross-Disciplinary Projects to Promote GEOSS EPA CyAir: Cyberinfratructure for Air Quality Managment CIERA: Community Initiative for Emissions Research and Applications GEO AQ CoP: GEO Air Quality Community of Practice COST ES0602: EU Network on Chemical Weather Forecasting.. AeroCom - Aerosol Model Inter-comparison Project ESIP Earth Science Information Partners, AQ Work Group GEO Air Quality Data Portals Community of Practice AQ Decision Support SystemsVIEWS - Visibility Information Exchange Web System VIEWS - Visibility Information Exchange Web SystemEPA RSIG - Remote Sensing Information Gateway TF HTAP Task Force, Hemispheric Transport of Air PollutantsEPA AQS - Air Quality System GMES MACC: Monitoring Atmospheric Composition and ClimaNASA GIOVANNI - Data & Information Services CenterEBAS - Norwegian Institute of Air Research Main Value Adding Activity: EPA - Exceptional Air Pollution Event Analysis DataFed - Federated Data Systems for Air Quality DataCEOS ACP: Atmospheric Composition PortalCIERA: Comm. Initiative for Emissions Res. & Apps. Interoperable NetworkGMES MACC: Monitoring Atm. Composition and Climate AQ Science Teams TF HTAP Task Force, Hemispheric Transport of Air Pollutants NASA AQAST - Quality Applied Science Team ESA CCI Aerosol: Climate Change Initiative for Aerosols GMES MACC: Monitoring Atmospheric Composition and Climate EPA - Exceptional Air Pollution Event Analysis AeroCom - Aerosol Model Inter-comparison Project
    11. 11. • The GEO AQ CoP is a self-organized voluntary group that fosters the use of Earth observations to air quality management and science by leveraging synergies of sharing and collaboration.• Community activities include collaborative website; workshops; gathering user requirements; sharing tools and best practices as well as aiding other communities: data portals, science teams and decision support activities.• A persistent output facilitated by the AQ CoP is a network of air quality/atmospheric composition data servers that use OGC- standard protocols and the GEOSS interoperability process.• Searching, browsing and accessing data from monitoring networks, satellite sensors, emissions, as well as from AQ models is through a Community Catalog.
    12. 12. • We know that information systems like libraries and the internet provide useful services• The technologies and the engineering of these systems is understood but the science is not in hand… – What causes information to be generated, transmitted and ‘consumed’? – What are the driving forces to the flow of information? Provider push, consumer pull? Impediments.. …Can you push a rope? – What are there suitable ‘laws of nature’, equivalent to conservation of mass and energy?• Earth Science info systems are still in the pre-scientific era• Hence, first need to observe these info systems ..
    13. 13. The of GEOSS (and most other EO integrating initiatives) is create moresocietal benefit from Earth Observations and ModelsEffective creation of societal benefit hinges on seamless data flow and re-use, so a universal value is the ability the share and re-use data.Hence AQ CoP chose to focus on facilitating Air Quality Data Network.
    14. 14. • We also understand that the creation of an Earth Science information system has been a grand challenge for decades….• …and that the “The road toward integrated Earth Science info systems is littered with wrecks of well- intended attempts..”• So, challenge is how to make more progress this time..•

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