Smoke Event

Public

EPA

1.

2.

3.

NAAQS Exc. Events

States: AQ Warning

NOAATravel Advisories

AQ Forecasting

FAAFlight Advisories

NASAEarth Obs: Public

SatModis

Mod

Vis

PM25

SatTOMS

SatGOES

Chem

The Network Effect:Less Cost, More Benefits through Data Multi-Use

ProgramPublic

Data Organization

Data

Data Program

Program

OrganizationData

Data

ProgramData

Orgs Develop Programs

Programs ask/get Data Public sets

up Orgs

Pay only once Richer content

Less Prog. Cost More Knowledge

Less Soc. Cost More Soc. Benefit

Data Re-Use Network Effect

Data are costly resource – should be reused (recycled) for multiple applications

Data reuse saves $$ to programs and allows richer knowledge creation

Data reuse, like recycling takes some effort: labeling, organizing, distributing

Data Re-Use and Synergy

• Data producers maintain their own workspace and resources (data, reports, comments). • Part of the resources are shared by creating a common virtual resources.• Web-based integration of the resources can be across several dimensions:

Spatial scale: Local – global data sharing

Data content: Combination of data generated internally and externally

• The main benefits of sharing are data re-use, data complementing and synergy.• The goal of the system is to have the benefits of sharing outweigh the costs.

Content

Content

User

User

User

LocalLocal

GlobalGlobal

Virtual Shared Resources

Data, KnowledgeTools, Methods

User

User

Shared part of resources

Federated Information System

• Data producers maintain their own workspace and resources (data, reports, comments). • However, part of the resources are shared through a Federated Information System.• Web-based integration of the shared resources can be across several dimensions:

Data sharing federations: • Open GIS Consortium (GIS data layers)• NASA SEEDS network (Satellite data)• NSF Digital Government • EPA’s National Env. Info Exch. Network.

VIEWSRPO

NASANAAPS

RPO Federated Data System

Data, Tools, Methods

SharedPrivate

RPO

Other Federations

Applications

PM Policy

Regulation

Mitigation

Federated Information System

• Data producers maintain their own workspace and resources (data, reports, comments). • However, part of the resources are shared through a Federated Information System.• Web-based integration of the shared resources can be across several dimensions:

Data sharing federations: • Open GIS Consortium (GIS data layers)• NASA SEEDS network (Satellite data)• NSF Digital Government • EPA’s National Env. Info Exch. Network.

VIEWSRPO

RPO Federated Data System

Data, Tools, Methods

SharedPrivate

RPO

Other Federations

Applications

PM Policy

Regulation

Mitigation

Unidata Portal

ESIP Portal

Portal

Data to be “dispersed” to multiple “portals”

This brings data closer to the user

Each portal can serve different clientele

Conditions is open architecture so that the resources can be reconfigured into many different “views” through the different portals

User communities

Replace cube with standard interface

For reusable data flow indicate homogenization for reusability (wrappers)

Integration for Global-Local Activities

Global Activity Local Benefit

Global data, tools => Improved local productivity

Global data analysis => Spatial context; initial analysis

Analysis guidance => Standardized analysis, reporting

Local Activity Global Benefit

Local data, tools => Improved global productivity

Local data analysis => Elucidate, expand initial analysis

Identify relevant issues => Responsive, relevant global work

• AQ data analysis needs to be performed at both global and local levels• The ‘global’ view (regional & global) establishes the larger-scale context• ‘Local’ perspective focuses on the specific and detailed local features• Global-local information exchange is needed for effective management.

Data Acquisition and Usage Activities

Need similar generic pic for

analysis

Staged Data Integration? Staged portal

Monitor StoreData 1

Monitor StoreData 2

Monitor StoreData n

Monitor StoreData m

Integrated Data1

Virtual Int. DataIntegrated

Data2

Integrated Data3

System integrates foreword from provider to the users

So that user can find/monitor content

User can navigate backwards toward the provider

PoP – harvester

Oodle!

CNet

…

AQ Management: Sensory-Motor System

AirQuality

AssessmentCompare to GoalsPlan ReductionsTrack Progress

Controls (Actions)

Monitoring(Sensing)

Set GoalsCAAA

NAAQS

Assessment turns data into knowledge for decision making & actions through analysis (science & engineering)

Monitoring collects multi-sensory data from surface and satellite platforms and

NASA ESE data, tools and methods can benefit air quality (AQ) management through extended monitoring, data sharing tools and better science.

The proposed project focuses on air quality management of particulate matter (aerosols).

Sensory-Motor Response to Changes

Regardless whether the Earth is considered ‘healthy’ or ‘sick’, the inevitable and unforeseeable environmental changes require response to these changes: The response includes the following major steps:

The above three steps are the necessary conditions for sustainable development. This is logical since all living organisms use this type of sensory-motor feedback to maintain their existence.

Sensing and recognition (monitoring)

Reasoning and explaining (sciences)

Decision making, action (management)

Instrument Builders

Information Specialists

(ESIP)Scientists

Curriculum Developers Teachers

Decision Analysts

Decision Makers

Reports

From Kim Kastens

Value Chain for Decision Support Systems

Same as for Education

Divide Characterization/Tailoring

DSS-Specific

Processes supported by AQ Cluster

Air Quality “Core” Network

• Core network abides core functionality• Consists of a modest number of stable nodes • Nodes are willing and eager network participants.• Core nodes are connected to produce value through

compound services. • Core robustness arises from redundancy, practice,…

Candidate Nodes:

Unidata

NCDC

HMS

VIEWS

AirNOW

OnEarth

Chem Models

Intellectual Mashup

Meteorologist

Chemists

Health

Remote Sensing

Analytical Monitors

Unidata-Air Pollution

• Decision-Making Groups: – Policy– Management – Public

• Use Cases: – Policy: Hemispheric transport – Management: Smoke Event– Public: Smoke Event

• Infosystem: – Architecture – Engineering– Technology

• GEOSS Support to Air Quality– Data. Services– Sharing/Harvesting Infrastructure– Intellectual Resources

• Air Quality Support to GEOSS– Well-defined Management Structure– Use Cases for GEOSS architecture

GEOSS and National/Local Air Quality Assessment

GEOSS Contr. Local Air Quality BenefitGlobal data, tools => Broader context, cost savings

Global analysis => Spatial context, Characterization

Intellectual Resources => Collaboration, Analysis

Local AQ Contr. GEOSS BenefitLocal data, tools => Enriched global resource pool

Local data analysis => More detail, insights,

Intellectual Resources => Collaboration, Analysis

• The GEOSS view (regional & global) establishes the larger-scale context• ‘Local’ perspective focuses on the specific and detailed characterization of local features

• AQ data analysis needs to be performed at both through GEOSS and national/local programs• GEOSS Information Architecture needs to support Global-local information exchange.

Air Quality Contributions to GEOSS: Use cases for demonstrating GEOSS architecture