Air quality focus group discussion summary
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Air Quality Focus Group Discussion Summary. Air Quality is one of 12 Applications of National Priority as defined by NASA and is one of 5 National Application Areas most frequently selected in Tom Yunck’s pre-meeting questionnaire

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Air Quality Focus Group Discussion Summary

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Air quality focus group discussion summary

Air Quality Focus Group Discussion Summary

  • Air Quality is one of 12 Applications of National Priority as defined by NASA

  • and is one of 5 National Application Areas most frequently selected in Tom Yunck’s pre-meeting questionnaire

  • Air quality management involves multiple government agencies, businesses, and universities and provides an application area well suited for making use of ESIP’s infrastructure and resources.

    • About 20 participants attended the focus group

ESIP Winter Meeting

January 2005


Air quality focus group discussion topics

Air Quality Focus Group Discussion Topics

A) How are satellite data currently used in air quality research and management?

a) how is the data used

b) what satellite data are used

c) who are the data users

B) How to enhance the relevance of satellite data for air quality decision making?

a) what do EPA and other air quality organizations need

b) what can ESIP offer


Aq management sensory motor system

AQ Management: Sensory-Motor System

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

Monitoring

(Sensing)

AssessmentCompare to GoalsPlan ReductionsTrack Progress

Set Policy

CAAA

Set Goals

NAAQS

AirQuality

Controls

(Actions)

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

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


Air quality data use epa ambient air monitoring strategy 2004

Air Quality Data Use(EPA Ambient Air Monitoring Strategy, 2004)


Information refinery value chain taylor 1975

Information ‘Refinery’ Value Chain(Taylor, 1975)

Info. Quality

Data

Information

Informing Knowledge

Productive Knowledge

Action

Analyzing

Separating

Evaluating Interpreting Synthesizing

Judging Options Quality Advantages Disadvantages

Deciding Matching goals Compromising Bargaining Deciding

Organizing Grouping Classifying Formatting Displaying

Transform. Processes

e.g. WG Reports

Examples

e.g. Langley IDEA, FASTNET, Forecast Modeling

e.g. RPO Manager

e.g. DAAC

ESIP – Facilitation

States, EPA, International


Next steps

Next Steps

  • Form ESIP AQ Cluster to explore ideas & identify relevant ESIP resources

    • What types of air quality applications can ESIP support

    • Work up example applications

    • Prepare material for proposal

  • Organize a meeting/workshop with EPA/NASA/NOAA

    • Understand their current efforts and information flow processes

    • Identify specific areas of interest

    • Develop a demo/testbed


Participants

Participants


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