Air Quality Data System Vision and Goals

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Air Quality Data System Vision and Goals

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The Community Air Quality Data System can not exist in isolation. Its vision needs to incorporate the needs of the Air Quality community - but also needs to be consistent with the visions of the broader environmental data systems. Here is a summary of visions. Please feel free to modify or add other 'visions'

GEOSS: An emerging public information infrastructure for Earth Obs

Vision: Observing the Earth and monitoring its host of complex systems is a role no one organization masters. GEO is providing the structure and opportunity for governments and organizations to actively seek better solutions for our changing planet. GEOSS as an emerging public infrastructure could prove as essential to economic and social progress in the 21st century as new transport and communications systems were in the 20th. José Achache, GEO Secretariat Director

GEO: Home | About | Chairs Letter | Meetings | Brochure | Documents
GEOSS: Architecture and Data | Science and Technology | User Interface | Capacity Building | GEOSS AIP AQ Scenario | Core AI Report | Other Resources

GEO: Coordinates the construction of GEOSS by 2015

• Group on Earth Observations (GEO, formed in 2005; 100+ govs. orgs.) coordinates the construction of a Global Earth Observation System of Systems (GEOSS) by the year 2015.
• GEO links Earth observation systems for gaining complete picture of the planet; ensures universal access to EO data as public good; builds trust & multi-stakeholder collaboration

GEOSS: An emerging public information infrastructure for EO

• GEOSS, like the Internet, connects data/information providers and users; to deliver reliable, up-to-date and user friendly information – vital for the work of decision makers, planners and emergency managers.
• The GOESS ‘system of systems’ will pro-actively link together observing systems and promote common technical standards for finding and accessing diverse data so that they can be combined into coherent data sets;
• GEOSS simultaneously coordinates interrelated societal benefit areas and thus avoids duplication, encourages synergies and ensures economic benefits.
• The implementation of GEOSS is under the guidance of the technical Committees; Architecture and Data, Science and Technology, User Interface, and Capacity Building.

RHusar evaluation: GEOSS has both a vision and an evolving implementation plan. However, the evolving ecosystem is not yet integrated, and difficult to access. Too many activities, perspectives ... Still, GEOSS is the most appropriate/relevant model, guide, platform for the Community AQ Data System.

NSF Cyberinfrastructure - Data Vision

• NSF: Cyberinfrastructure Vision for 21st Century Discovery | Ch 3 in above: Data, Data Analysis, Visualization, (2006-210)

Vision: “…a vision in which science and engineering digital data are routinely deposited in well-documented form, are regularly and easily consulted and analyzed by specialists and non-specialists alike, are openly accessible while suitably protected, and are reliably preserved.”

Strategic plan seeks to (1) Promote a change in culture; (2) Catalyze development of a national digital data framework; (2)Support new generations of tools, services, and capabilities

Goals: (1) To catalyze the development of a system of science and engineering data collections that is open, extensible and evolvable. (2) To support development of a new generation of tools and services facilitating data acquisition, mining, integration, analysis, and visualization.

Principles: ....Broad community engagement is necessary in reviewing and prioritizing data activities; Data is only useful if it can be found, understood, and analyzed; ..International, interagency, and public-private partnerships are essential. Requirements:

A. Coherent Organizational Framework (Diversity of approaches; Communities of practice; Community proxy roles of collections; Dynamic and evolving system; Flexible Technological Architecture; Coherent Data Policies)
B. Flexible Technological Architecture (Layered capabilities; Metadata; Data analysis and visualization tools; Promoting use and stability of standards)
C. Coherent Data Policies (Transparent policy frameworks; Data management plans; Interagency coordination; International cooperation)

Rhusar Evaluation: Good material for overall strategy formulation. No specific guidance on howto.

NASA Data System Capability Vision

NASA Capability Vision - see also webcast. IT Vision Framework and Top 10 items:

• Scalable Analysis Portals
• Assisted Data & Service Discovery
• Community Modeling Frameworks
• Assisted Knowledge Building
• Interactive Data Analysis
• Interoperable Information Services
• Seamless Data Access
• Responsive Information Delivery
• Verifiable Information Quality
• Evolvable Technical Infrastructure

RHusar Evaluation: Good vision/guide on IT system/technologies. (after all it was prepared by good people :)) So-so on the systems architecture that ties the components together.

IGACO Integrated Global Atmospheric Chemistry Framework

• System for data collection from various sources
• System for archiving and distribution of the data
• End-to-end quality-assurance and quality control system for quantifying uncertainties

RHusar evaluation: IGACO is a well thought of plan for creating high quality atmospheric chemistry datasets. QA/QC is emphasized. Weak on the architecture or implementation of the Data Systems.

- MACC Initiative and Services

MACC - Monitoring Atmospheric Composition and Climate - is the project that is establishing the core global and regional atmospheric environmental services delivered as a component of Europe's GMES initiative. It is funded under the Seventh Framework Programme of the European Union and began on 1 June 2009. MACC takes as its input comprehensive sets of satellite data supplying information on atmospheric dynamics, thermodynamics and composition .In-situ data from meteorological networks and of atmospheric composition. Data are processed to provide a range of products related to climate forcing, air quality, stratospheric ozone, UV radiation at the earth’s surface and resources for solar power generation. MACC operates a value-adding chain which extracts information from as wide a range of observing systems as possible and combines the information in a set of data and graphical products that have more complete spatial and temporal coverage and are more readily applicable than the data provided directly by the observing systems.

The MACC products are based on the requirements established for the core atmospheric component of GMES. They emanate from:

Global service lines providing: monitoring of aspects of climate, climate forcing and the sources and sinks of key species; monitoring of stratospheric ozone; forecasts of reactive gases and aerosols; boundary conditions for regional models.

European service lines providing: air quality forecasts from high-resolution regional systems; air quality assessments based on retrospective running of the regional systems using validated observational data;

UV radiation assessments and forecasts; solar-energy resource assessments and forecasts.

Service lines for policy development, including establishment of effective dialogue with the European Environment Agency, national and regional environment agencies and EMEP, so that MACC can shape its programme to support their work

The building blocks of MACC are a set of components with specific functions that are grouped into four clusters. The input data cluster acquires the satellite and in-situ observations and carries out preparatory processing of them. It also provides improved estimates of surface emissions of key species, with a particular emphasis on the highly variable emissions from fires. The primary global and regional clusters operate and refine processing systems that include not only the data assimilation and modelling elements that provide the basic monitoring and forecasting products, but also the elements that provide estimates of climate forcing, inferred corrections to the modelled sources and sinks, and derived products such as UV radiation and resources for solar power generation. An outreach cluster provides the interface to downstream-service providers and other users, runs the service-chain test cases and supports the development of policy for the control of atmospheric pollution.

Community Air Quality Data System Workspace Data Summit Workspace2008-04-14Air Quality Data System Vision and GoalsHusar