2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
NASA Applied Sciences Features 2009 Air Quality Assessment
1. • http://science.larc.nasa.gov/AppliedSciencesFeatures/2009AQATM/
• http://www.delicious.com/tag/IntegratingInitiative+AQ_CoP
• http://www.delicious.com/tag/IntegratingInitiative+DataPortal
• http://www.delicious.com/tag/IntegratingInitiative+ScienceTeam
• http://www.delicious.com/tag/IntegratingInitiative+Facilitator
• http://www.delicious.com/tag/IntegratingInitiative+AQDecisionSupport
• http://www.telespazio.com/pdf/ISRSE_33_final_Programme_0.pdf
• http://webapps.datafed.net/datafed.aspx?wcs=http://ww10.geoenterpriselab.com/edgar
o AR-09-02b: Atmospheric Composition Portal
o DA-09-01b: Data, Metadata and Products Harmonization
o DA-09-02a: Data Integration and Analysis Systems Alliance
o DA-09-02d: Atmospheric Model Evaluation Network
o HE-09-02a: Aerosol Impacts on Health and Environment
o HE-09-02b: AQ Observations, Forecasting & Public Info
o HE-09-02c: Global Monitoring for Persistent Organic Pollutants
o HE-09-02d: Global Monitoring for Atmospheric Mercury
o US-09-01a: Earth Observation Priorities for Air Quality & Health
6. From Observations to Decisions
Spectrum of User Communities
Earth Obs. EO Service Discipline EnvHealth EnvPolicy Public &
& Modeler Provider Scientist Model, Res & Manager Officials
Spectrum of Activities and Approach
Measuring InfoProc. & SciKnow Decision Decision Assessing
& Modeling Distributi Creation Support Making Benefit
Maps on to the GEO Framework
Value-adding processes color chart here
Problem:
Which distributor? Sci Team? Decision Support – herre
the cocneptual breaks down..need to go experimental -
observational
In there pattern in the emerging information ecosystem
7. The era of a single data provider, the individual scientist or the lone
decision supporter is over.
There is a new pattern emerging in the maturing information ecosystem
Data Portals aggregators of many data streams
Data Portals AQ Science Teams AQ Decision Support Systems
Data Aggregators for Science Collectives and Data Driven Analysis and
Easier Access Collaboratives Prognosis
VIEWS - Visibility Information Exchange Web System TF HTAP Task Force, Hemispheric Transport of AirVIEWS - Visibility Information Exchange Web System
Pollutants
EPA RSIG - Remote Sensing Information Gateway NASA AQAST - Quality Applied Science Team TF HTAP Task Force, Hemispheric Transport of Air Pollutan
GMES MACC: Monitoring Atmospheric Composition and Cli
EPA AQS - Air Quality System ESA CCI Aerosol: Climate Change Initiative for AerosolsExceptional Air Pollution Event Analysis
EPA -
NASA GIOVANNI - Data & Information Services Center GMES MACC: Monitoring Atmospheric Composition and Climate Data Systems for Air Quality Data
DataFed - Federated
EBAS - Norwegian Institute of Air Research EPA - Exceptional Air Pollution Event Analysis
CEOS ACP: Atmospheric Composition Portal
AeroCom - Aerosol Model Inter-comparison Project
CIERA: Comm. Initiative for Emissions Res. & Apps.
GMES MACC: Monitoring Atm. Composition and Climate
This is a good thin for the Earth System & GEOSS since it does not
have to support individuals but can fucus on fewer groupings
Implicit structure Cascading multi-stage process al la the economy-of-
scale
8. From Observations to Decisions
Spectrum of User Communities
Earth Obs. EO Service Discipline EnvHealth EnvPolicy Public &
& Modeler Provider Scientist Model, Res & Manager Officials
Spectrum of Activities and Approach
Measuring InfoProc. & SciKnow Decision Decision Assessing
& Modeling Distributi Creation Support Making Benefit
Science Dec. Sup.
Data Teams Systems
Portals
Data Portals Felicitators of Collab.
VIEWS - Visibility Information Exchange Web System GEOSS AIP Architecture Implementation Pilot | OGC Network AQ Decision Support Sys. VI
EPA RSIG - Remote Sensing Information Gateway EPA Data Summit EWS - Visibility Information Exchange Web System
EPA AQS - Air Quality System GO-ESSP: Global Org. for Earth System Science Portals TF HTAP Task Force, Hemispheric Transport of Air Pollutants
NASA GIOVANNI - Data & Information Services Center EU EGIDA - Coord. Cross-Disciplinary Projects to Promote GEOSS GMES MACC: Monitoring Atmospheric Composition and Climate
EBAS - Norwegian Institute of Air Research EPA CyAir: Cyberinfratructure for Air Quality Managment EPA - Exceptional Air Pollution Event Analysis
CEOS ACP: Atmospheric Composition Portal CIERA: Community Initiative for Emissions Research and Applications DataFed - Federated Data Systems for Air Quality Data
CIERA: Comm. Initiative for Emissions Res. & Apps. GEO AQ CoP: GEO Air Quality Community of Practice
GMES MACC: Monitoring Atm. Composition and Climate COST ES0602: EU Network on Chemical Weather Forecasting..
AeroCom - Aerosol Model Inter-comparison Project
ESIP Earth Science Information Partners, AQ Work Group
9. Value Adding Groups
Felicitators, Connectors
GEOSS AIP Architecture Implementation Pilot | OGC Network
EPA Data Summit
GO-ESSP: Global Org. for Earth System Science Portals
EU EGIDA - Coord. Cross-Disciplinary Projects to Promote GEOSS
EPA CyAir: Cyberinfratructure for Air Quality Managment
CIERA: Community Initiative for Emissions Research and Applications
GEO AQ CoP: GEO Air Quality Community of Practice
COST ES0602: EU Network on Chemical Weather Forecasting..
AeroCom - Aerosol Model Inter-comparison Project
ESIP Earth Science Information Partners, AQ Work Group
GEO Air Quality
Data Portals Community of Practice AQ Decision Support Systems
VIEWS - Visibility Information Exchange Web System VIEWS - Visibility Information Exchange Web System
EPA RSIG - Remote Sensing Information Gateway TF HTAP Task Force, Hemispheric Transport of Air Pollutants
EPA AQS - Air Quality System GMES MACC: Monitoring Atmospheric Composition and Clima
NASA GIOVANNI - Data & Information Services Center
EBAS - Norwegian Institute of Air Research
Main Value Adding Activity: EPA - Exceptional Air Pollution Event Analysis
DataFed - Federated Data Systems for Air Quality Data
CEOS ACP: Atmospheric Composition Portal
CIERA: Comm. Initiative for Emissions Res. & Apps.
Interoperable Network
GMES MACC: Monitoring Atm. Composition and Climate
AQ Science Teams
TF HTAP Task Force, Hemispheric Transport of Air Pollutants
NASA AQAST - Quality Applied Science Team
ESA CCI Aerosol: Climate Change Initiative for Aerosols
GMES MACC: Monitoring Atmospheric Composition and Climate
EPA - Exceptional Air Pollution Event Analysis
AeroCom - Aerosol Model Inter-comparison Project
10. • The GEO AQ CoP is a self-organized voluntary group that fosters
the use of Earth observations to air quality management and science
by leveraging synergies of sharing and collaboration.
• Community activities include collaborative website; workshops;
gathering user requirements; sharing tools and best practices as well
as aiding other communities: data portals, science teams and
decision support activities.
• A persistent output facilitated by the AQ CoP is a network of air
quality/atmospheric composition data servers that use OGC-
standard protocols and the GEOSS interoperability process.
• Searching, browsing and accessing data from monitoring networks,
satellite sensors, emissions, as well as from AQ models is through a
Community Catalog.
11. • We know that information systems like libraries and the
internet provide useful services
• The technologies and the engineering of these systems is
understood but the science is not in hand…
– What causes information to be generated, transmitted and
‘consumed’?
– What are the driving forces to the flow of information? Provider
push, consumer pull? Impediments.. …Can you push a rope?
– What are there suitable ‘laws of nature’, equivalent to conservation
of mass and energy?
• Earth Science info systems are still in the pre-scientific era
• Hence, first need to observe these info systems ..
12. The of GEOSS (and most other EO integrating initiatives) is create more
societal benefit from Earth Observations and Models
Effective creation of societal benefit hinges on seamless data flow and re-
use, so a universal value is the ability the share and re-use data.
Hence AQ CoP chose to focus on facilitating Air Quality Data Network.
13. Air Quality Data Network
• ESIP AQ WG & GEO AQ CoP:
– Int’ l participation
– OGC standards (.. netCDF), CF
Conventions, ISO meta
– Share software code, best practices
AQ Data Network
– Seven servers, three clients (HTAP, MACC, ACP, EE,
EMEP, VIEWS, PHAROS, CIERA,RSIG,..)
– AQ Community Catalog for finding
– Test app. for EPA Except. Events
AQ Data Find & Access
AQ Data Network is still fragile, incomplete
AQ Data Network:
and inadequate for real apps, but
Servers
demonstrates
fine grained data networking with GEOSS
infrastructure and process
14. • We also understand that the creation of an Earth
Science information system has been a grand challenge
for decades….
• …and that the “The road toward integrated Earth
Science info systems is littered with wrecks of well-
intended attempts..”
• So, challenge is how to make more progress this time..
•
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
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
