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The theme set for this ESIP meeting is:

Matching Opportunities in Application Areas with Technical Solutions

Topic of this demo:

Air Quality Community Support through New Information Technologies

Prepared for virtual presentation at the Winter 2007 ESIP meeting, Portland, OR

by the CAPITA group at Washington University, St. Louis

Rudolf Husar and Erin Robinson

Collaboration Workspace - Wiki

Web Delivery ScreenCast

Web Services, Workflow

Data Access & Processing Analysis Presentation

Technologies are applied to support networking and collaboration

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Near Future: Mediated Networking

Mediator Node: Homogenizes data access Identifies AQ datasets Adds processing services

Process

EPA AIRNow NASA Giovanni NOAA HazMap WashU DataFed

Process Process Process

Provider Node: Collects data from the org. Provides catalog of holdings Exposes data on Portal

User Node: Local & mediated data access Processing for apps needs Delivers info to user

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Desired State: Peer-to-Peer Networking

Process

EPA AIRNow NASA Giovanni NOAA HazMap WashU DataFed

Process Process Process

Standard Interface: Homogenizes data access

Provider Node: Collects data from the org. Provides catalog of holdings Exposes data on Portal

User Node: Local & mediated data access Processing for apps needs Delivers info to user

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GEOSS

Eco-informatics

Accountability/indicatorsSIPs, nat.rules

designations

PHASE

PM research

Risk/exposureassessments

AQ forecastingPrograms

NAAQS setting

EPANOAA

NASA

NPS

USDA

DOE

PrivateSector

States/TribesRPO’s/Interstate

Academia

NARSTO

NAS, CAAACCASAC, OMB

Enviros

Organizations

CDC

Supersites

IMPROVE, NCorePM monit, PAMS

CASTNET

Lidarsystems

NADP Satellite data

Intensive studies

PM centers

Other networks:SEARCH, IADN..

Data sources

CMAQGEOS-CHEM

EmissionsMeteorology

Health/mort.records

Entities participating in AQ information exchannge

Unfortunately, the inner working of the IS that links these entities

is not yet understood.

The challenge posed by R. Scheffe: Please explain this Informatics

Mess

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2. Is data sharing a viable approach to achieve the

convergence & optimization?

Common data

Client Data Overlaps

Monitoring SatelliteModeling

1. Can we integrate air quality information

through partnerships?

Specific AQ Informatics Questions:

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• Wiki - Collaborative workspace for virtual workgroups

• - We use wikis to organize a diverse arrAY of artifacts for a workgroup or a project. See the ESIP wiki or the DataFed or the DataFed wiki

• - Wikis (e.g. Wikipedia) are best known for collaborative writing. We have written papers and workgrop reports, even proposals on wikies.

• - The discussion pages attached to each wiki page is an easy and way to provide feedback or to conduct disscyssion

• - Wiki pages have tags which allow filtering and aggregation through dynamic page lists

• - Wikies can be mashed with other web applications such as del.icio.us (social bookmarking), Flickr (picture shaing) and Google Maps using direct links or RSS messaging protocols.

•

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Characteristics of System of Systems (SoS)

• Autonomous constituents managed/operated independently

• Independent evolution of each constituent

• Displays emergent behavior

Must recognize, manage, exploit the characteristics:

• No stakeholder has complete SoS insight

• Central control is limited; distributed control is essential

• Users, must be involved throughout the life of a SoS

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• ISO 19123 grid coverage model• ISO 19111 Non uniform vertical dimension• ISO 19139

– ISO TS 19139 is designed to provide a common XML specification for describing, validating and exchanging geographic metadata. It is intended to promote interoperability, and exploit ISO 19115’s advantages in a concrete implementation specification.

• ISO 19115An International Metadata Standard for Geographic Information

( http://www.iso.org/iso/en/CatalogueDetailPage.CatalogueDetail?CSNUMBER=26020&ICS1=35&ICS2=240&ICS3=70 ) established by TC 211 on Geographic Information/ Geomatics

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• WMO Information System (WIS)– The WMO Information System (WIS) is an overarching approach and a single coordinated global infrastructure for the collection,

distribution, retrieval of, and access to data and information  of all WMO and related programmes.

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GADS

Workshop Purpose• Bring together experts in atmospheric aerosols and database management to

– assess the current state of the art, and to

– make recommendations for developing a coordinated plan for future work in aerosol data management aspects of the International Global Aerosol Program (IGAP)

Approach

• Prior to the meeting, participants were asked to provide written responses to: – current state of knowledge

– knowledge gaps, and

– recommendations for future work.

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Trends

• Surface Obs –> Models, Remote sensing –> Integrated Model & Observations

• Rigid Programs (IGAP) –> Dynamic Constellations –> Mashing Programs/Projects

• Stove pipes (shops) –> Firm Network –> System of Systems

Pre 1990 1990-2005 Post 2005

Programs Single Purpose Some Program Interaction Mashing Prog./Proj.

DecSuppSys Human Model-Assisted, Rigid Adoptive

Info Source SurfObs SurfObs, RemSens, Model Integrated

Info Systems Shops, Stovepipes Ad hoc connections System of Systems

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Global Aerosol Data System Schematics (WMO GAW, TD 73, 1990)

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• A principal raw material or commodity that is in steady demand. Examples flour, rice, or corn.

• A basic or principal element or feature. • The fiber of cotton, wool, or flax, graded as to length

and fineness.

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• The challenge is to design a general supportive infrastructure

Integrated Data System for Air Quality-IDAQ

Info NeedsEmission

Surface Satellite Model

Single Datasets

Providers Federate Data

Explore Data

• The ‘cubed’ data can be accessed and explored by slicing-dicing tools

Understand