111018 geo sif_aq_interop

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  • 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 Even in the narrow application of Wildfire smoke, observations and models can be reused.
  • 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
  • At the end of August 2011, the GEO Air Quality Community of Practice organized a small topical workshop on the Networking of Air Quality Observations and Models where data system practitioners from Europe and North America will discuss interoperability challenges, and share best practices. The central theme of the workshop will be on the implementation of the network, that is turning the current fragile and virtual network into a real network that benefits many organizations. Accordingly, the bulk of the time during the three-day workshop was devoted to the technical issues on the realization of AQ Network. The 30 or so workshop participants represent major data hubs, science teams, AQ decision support systems and other integrating initiatives with common interest in the realization of AQ data networking. The workshop venue is Stomorska, adjacent to Split, Croaotia. The workshop was able to attract the participation of the managers and programmers of the major air quality data hubs in Europe and US, as well as experts on interoperability and networking. Thus the group was quite competent the handle the AQ data networking topic. The meeting allowed the participants to learn about each other's data systems and general perspectives. This was a necessary step toward a shared understanding and for building trust for future inter-dependent data networking. During the open discussion-oriented sessions, the participants were willing and able to articulate the key impediments to networked AQ data systems at their respective organizations. With this, remedies can be pursued. At the end of the meeting the managers and programmers of the major data hubs made a remarkable set of commitments toward making the AQ Data Network happen
  • 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 Even in the narrow application of Wildfire smoke, observations and models can be reused.
  • 111018 geo sif_aq_interop

    1. 1. Interoperability and Data Networking Facilitated by the GEO Air Quality Community of Practice Contact: Rudolf Husar, rhusar@wustl.eduGEO Interoperability (Virtual) Workshop III: A Look Into the Future of GEOSS October 18-19, 2011, Webex
    2. 2. Air Quality & Health Applications
    3. 3. Users need easy access to observations and modelsA major contribution would be a reliable, trusted data poolAQ Obs. & AQ Modles Benefits Monitorig Informing Network the Public Protecting Satellite Data Pool Health Atmosph. Model Science Global Emission Policies
    4. 4. Air Quality Data Network (ADN• AQ CoP developed open source Community WCS server AQ Data Sharing• Used CF-netCDF and custom AQ Network conventions• Installed server @ 7 data hubs• Developed open source Community Catalog• Used ISO 19115 and AQ-specific AQ Community Data Catalog conventions• Interoperable with GIcat and GCI ADN Data Pool Content: 20 Diverse, Distributed Datasets 250 Observation/Model Parameters Contribution as CORE data, AIP-4
    5. 5. Summary• AQ Data Network (ADN) demonstrates the application of GEO principles and GEOSS infrastructure• ADN is still too fragile and incomplete for ‘real’ applications• The road toward integrated data systems will be long, bumpy and littered with wrecks of well-intended attempts• The main impediments appear to be human factors; the solutions will have to deal with turf, trust, jealousy…
    6. 6. Aug. 2011, Šolta, CroatiaNetworking Air Quality Observations and Models: From Virtual to Real Workshop Goals: Assessed the current state of the network Share best practices on interoperability Advance the state of the AQ Data Network Participants were practitioners of AQ data systems from Europe and US • Managers and programmers of major AQ data hubs • Interoperability and networking experts • Represented 18 organizations, many Integrating InitiativesSee Workshop Wiki for Details, Contacts: Rudolf Husar, rhusar@wustl.edu; Martin Schultz, m.schultz@fz-juelich.de
    7. 7. Spectrum of User Communities and their ActivitiesEarth Ob- Societalservations Benefit Monitorig Health&Env. Informing Network Analyst the PublicEarth Obs. EO Service Decision EnvPolicy Protecting& Satellite Modeler Provider Support & Manager Health Measure & InfoProc. & Discipline Decision Atmosph. Model Distributor Scientist Making Model Science Sci & Know Creation Global Emission Policies Info system has to support users along the value chain: Data Distributors, Decision Systems and Science Teams Gary Foley, US EPA
    8. 8. The main contributors and beneficiaries of the Data Pool are ‘Integrating Initiatives’Earth Ob- Societalservations Data Facilitators Decision Hubs ABC | AQ_CoP | B.GN | CHIST |CIERA | Benefit COST |CyAir DataONE | EANET | EGIDA | Support CIERA ESIP | EuroGEOSS | INSPIRE | QA4EO AIRNow BlueSky Monitorig DataFed EBAS CIAM Informing Network INSPIRE the Public MACC PEGASOS SDS-WAS VIEWS VIEWS … .... Others Protecting Satellite ACDISC Data Pool Science Health AirBase Teams AIRNow ABC Atmosph. Model AQS AC&C Science AeroCOM DLR AQAST GISC AQMEII CCI- LANCE Aerosol Global PEGASOS Emission RSIG TF-HTAP Policies +++ others Others ...
    9. 9. Air Quality & Health Applications AQ CoP needs to connect and enable ‘Integrating Initiatives’ HTAP, MACC, ACP, CyAir… Support Interoperability of People!
    10. 10. GEO AQ CoP is a self- organized group working together to fosterapplication of Earth observations to Air Quality, connecting GEO to thebroader user communities and leveraging synergies of collaboration. Ratherthan competing, it connects and supports the activities of other dataintegration and dissemination initiatives. Community activities includeteleconferences; collaborative website; virtual workshops; gathering userrequirements; recording best practices; participation in GEOSS ArchitectureImplementation Pilots and supporting several GEO Tasks.The main tangible output facilitated by the AQ CoP is the emerging networkof interoperable air quality/atmospheric composition data servers (currently7) that use international OGC WCS/WMS standard data access protocols.The main role of the CoP is to connect and enable this network, as a Systemof Systems for Air Quality guided by: What few things must be the same sothat everything else can be different? The content of the networks data andmetadata is accessible through a distributed catalog of shared dataresources. The core network content includes datasets from surface-basedmonitoring networks (7), satellite sensors (5), as well as global/regionalmodels (3), including the MACC global aerosol model.

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