Transcript Understanding and Protecting Our Home Planet

SEEDS IT Vision Scenario: Smoke Impact
REASoN Project: Application of NASA ESE Data and Tools to Particulate Air Quality Management (PPT/PDF)
Scenario:
Smoke form Mexico causes record PM over the Eastern US.
Goal:
Detect smoke emission and predict PM and ozone
concentration
Support air quality management and transportation safety
Impacts:
PM and ozone air quality episodes, AQ standard exceedance
Transportation safety risks due to reduced visibility
Timeline:
Routine satellite monitoring of fire and smoke
The smoke event triggers intensified sensing and analysis
The event is documented for science and management use
Record Smoke Impact on PM Concentrations
Science/Air Quality Information Needs:
Quantitative real-time fire & smoke emission monitoring
PM, ozone forecast (3-5 days) based on smoke emissions
data
Information Technology Needs:
Real-time access to routine and ad-hoc data and models
Analysis tools: browsing, fusion, data/model integration
Delivery of science-based event summary/forecast to air
quality and aviation safety managers and to the public
Smoke Event
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[email protected], [email protected]
Smoke Scenario: IT needs and Capabilities
IT need vision
Current state
Real-time access to
routine and ad-hoc
fire, smoke, transport
data/ and models
Human analysts access
a fraction of a subset of
qualitative satellite
images and some
surface monitoring data
Limited real-time datasets
are downloaded from
providers, extracted, geotime-param-coded, etc. by
each analyst
New capabilities
How to get there
Agents (services) to
seamlessly access
distributed data and
provide uniformly
presented views of
the smoke.
Web services for data
registration, geo-timeparameter referencing,
non-intrusive addition
of ad hoc data;
communal tools for
data finding, extracting
Analysis tools for data
browsing, fusion and
data/model integration
Most tools are personal,
dataset specific and
‘hand made’
Tools for navigating
spatio-temporal data;
User-defined views of
the smoke;
Conceptual
framework for
merging satellite,
surface and modeling
data
Services linking tools
Service chaining
languages for building
web applications; Data
browsers, data
processing chains;
Smoke event summary
and forecast for
managers (air quality,
aviation safety) and
the public
Uncoordinated event
monitoring,
serendipitous
and limited analysis.
Event summary by
qualitative description
and illustration
Smoke event
summary and
forecast suitably
packaged and
delivered for agency
and public decision
makers
Community interaction
during events through
virtual workgroup
sites; quantitative
now-casting and
observation2
augmented forecasting
Project Domain, New Technologies and Barriers
REASoN Project Type: Application – Particulate Air Quality
Application Domain
• Process: Facilitating application (use) of ESE data and technologies in AQ management
• Participants: NASA as provider; EPA, States as users of data & technologies
• Specific application projects: FASTNET, Emissions, CATT, Forest Fire Emissions
Current barriers to ESE data use in PM management
• Technological: resistances to seamless data flow and user-driven processing
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necessary technology not available
technology not at operational TRL (also: technology not stable (i.e. rapidly evolving)
technology not easy for AQ agencies to adopt (intrusive)
technologies cannot be connected
• Scientific: The quantitative meaning [context?] of satellite data for AQ is not well understood
• Organizational: Lack of tools and skills within AQ agencies
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Lack of coordination among AQ agencies (might not be relevant here)
New Information Technologies Developed & Applied in the Project
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Web service wrappers for ESE data and associated tools
Reusable web services for data transformation, fusion and rendering
Web service chaining (orchestration) tools
Virtual workgroup [do you like ‘workgroup’ better than ‘community’?] support tools
Barriers to IT Infusion (??) [This could fit under technological barriers above]
• New technologies are at low tech readiness level, TRL 4
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