1. Interoperability and Data Networking
Facilitated by the
GEO Air Quality Community of Practice
Contact: Rudolf Husar, rhusar@wustl.edu
GEO Interoperability (Virtual) Workshop III: A Look Into the Future of GEOSS
October 18-19, 2011, Webex
3. Users need easy access to observations and models
A major contribution would be a reliable, trusted data pool
AQ Obs. & AQ
Modles Benefits
Monitorig Informing
Network the Public
Protecting
Satellite
Data Pool Health
Atmosph.
Model Science
Global
Emission Policies
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. 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. Aug. 2011, Šolta, Croatia
Networking 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 Initiatives
See Workshop Wiki for Details, Contacts: Rudolf Husar, rhusar@wustl.edu; Martin Schultz, m.schultz@fz-juelich.de
7. Spectrum of User Communities and their Activities
Earth Ob- Societal
servations Benefit
Monitorig Health&Env.
Informing
Network Analyst the Public
Earth 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. The main contributors and beneficiaries of the Data Pool are
‘Integrating Initiatives’
Earth Ob- Societal
servations
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. Air Quality & Health Applications
AQ CoP needs to
connect and enable
‘Integrating Initiatives’
HTAP, MACC, ACP, CyAir…
Support Interoperability of People!
10. GEO AQ CoP is a self- organized group working together to foster
application of Earth observations to Air Quality, connecting GEO to the
broader user communities and leveraging synergies of collaboration. Rather
than competing, it connects and supports the activities of other data
integration and dissemination initiatives. Community activities include
teleconferences; collaborative website; virtual workshops; gathering user
requirements; recording best practices; participation in GEOSS Architecture
Implementation Pilots and supporting several GEO Tasks.
The main tangible output facilitated by the AQ CoP is the emerging network
of interoperable air quality/atmospheric composition data servers (currently
7) 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 System
of Systems for Air Quality guided by: What few things must be the same so
that everything else can be different? The content of the network's data and
metadata is accessible through a distributed catalog of shared data
resources. The core network content includes datasets from surface-based
monitoring networks (7), satellite sensors (5), as well as global/regional
models (3), including the MACC global aerosol model.
Editor's Notes
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.
